Crawl the site.
Understand the pages.
Know what to fix.

I wrote the action plan and saved the developer report. There are no critical fixes. I didn't start a new crawl. Crawl #32 of getlooploop.com was already open: 300 URLs, mode "both", finished 2026-10-28, with embeddings and topics complete. Its GLLmolfar health score is 89/100, and the fix list has 34 fixes.

The 3 most important actions (all from crawl #32 unless marked as my judgment):

1. cannibal (high): 14 skill pages are near-duplicates of each other, for example the Lark/Feishu mirrors and the firecrawl and googleworkspace pairs. One template change will not fix this. The URLs spread over 7 path groups, so each pair needs an editorial decision. Re-crawl to verify.
2. hreflang.noReturn (high): 6 URLs, all /skills?category=…, which is one template. One template change fixes all 6. I suspect hreflang.missingSelf lists the same 6 pages, but that is my judgment, so check it in the same change.
3. structured.errors (medium): 156 of 300 URLs, 52%, are missing a required JSON-LD property. I ranked it third by my judgment because of its reach. Most of the affected URLs are skill pages, which probably share one template, so one change should correct most of them. The home and product pages need their own check. I did not pull which property is missing, so run audit_url on one skill page to see it.

Other findings from the top 10:

• ai.noAuthor (medium): 225 URLs. /glossary/* is 44% of them, so a glossary template change covers the largest part.
• links.insecure (medium): all 14 URLs are /glossary/*.
• a11y.unlabeled (high): 1 URL, /questions. A single-page fix.
• ai.claims, lowContent and ai.lowMain are spread over many path groups, so they are editorial work per page.
• images.missingAlt: I could not count it by template. The fix lists image files, and count_pages returned 0 for it.

What I did not cover:

• Crawl limit: counts are for these 300 URLs only.
• Samples: explain_fix and get_fix_urls returned 20 URLs each, so the lists for ai.noAuthor, structured.errors and ai.claims are samples. The template counts come from the full set.
• Fixes not opened: fixes 11 to 34 were not opened one by one; their numbers come from get_fixes.
• Checks not run: no Search Console data, no URL audits and no get_ai_readiness, so I make no claim about any AI bot's access.
• Jira: nothing was sent to Jira.

Files are in the plan; the report is saved here:

• Action plan: (work folder)\ACTION-PLAN.md
• Developer report (HTML): C:\Users\you\Documents\gllmolfar-report-www.getlooploop.com-2026-10-28.html

Crawl 32 (https://www.getlooploop.com, 300 pages, health 89) is open. No crawl is running. These figures come from get_fixes for that crawl. I did not read the crawl date, so I can't give it.

Proposed Jira tasks (project SEO, up to 50 URLs each)

The final summaries and priorities come from create_jira_task. I will use those, not the titles above.

Excluded: the other medium fixes are each on 5% of pages or fewer. The closest are links.insecure at 4.7% (14 URLs) and external.s4xx at 4.5% (58 URLs). external.s4xx has many URLs, but its share is under the threshold. Low and insight fixes are also excluded.

Limits:

• Tasks 4, 5, 6 and 7 cover more than 50 URLs, or close to it, so their descriptions will list only the first 50 URLs. The URL count in each task will still show the full total.
• I have no Jira tool in this session. After you approve, I will write all tasks to JIRA-TASKS.md in the working directory.
• I can't check for open duplicates without Jira access. If you give me the existing SEO issue summaries, I will skip any that match.

Do you approve creating these 9 tasks? You can also add or remove fixes first.

getlooploop.com: crawl 33 vs crawl 32

Verdict: no CRITICAL items. There is one gap in my coverage. The {key_urls} placeholder in your request was never filled in, so I audited only the home page.

Top changes

1. WARNING: more slow pages. The "URLs over 1 s" check went from 10 to 17 (+7), and the home page took 2,532 ms in the audit. The home page response was x-vercel-cache: MISS with cache-control: private, no-cache, no-store. Fixing this unblocks faster fetches by crawlers. To verify, run the crawl again and check that the slow check drops. Source: compare of crawls 32 and 33, plus the URL audit at 14:20 UTC.
2. INFO: the 19 found and 19 lost URLs are a crawl-limit effect, not lost pages. The compare tool says newerCrawlStoppedEarly: true. It also says whyMissing is 19 "notReached", with 0 gone, 0 moved and 0 failed. Both crawls have 300 pages. The queue held 1,655 more URLs when crawl 33 stopped. To verify, run a crawl with a higher limit.
3. INFO: the home page is not in the sitemap. The audit shows inSitemap: false. This is a judgment from one audit field. Whether it matters depends on how the sitemap is generated.

CRITICAL check

All changes, before and after

Source for all rows: crawl comparison, crawl 32 (2026-10-28 13:32 UTC) vs crawl 33 (14:18 UTC). Health stayed at 89 → 89. Errors stayed at 0 → 0. Non-indexable URLs stayed at 6 → 6.

WARNING (medium or higher, worse)

• Slow URLs: 10 → 17.

WARNING (high, but better)

• Pages that say almost the same as another page: 14 → 10.

INFO (changes in other checks)

• Linked from one page only: 0 → 11.
• Meta descriptions over 155 characters: 131 → 138.
• Meta descriptions over 990 px: 65 → 72.
• Titles the same as the H1: 1 → 6.
• Missing or empty alt text: 41 → 42.
• Titles over 60 characters: 137 → 138.
• Titles over 580 px: 122 → 123.
• H1 over 70 characters: 148 → 149.
• Long pages without an author: 225 → 206.
• Long pages without a date: 218 → 199.
• 4xx external errors: 58 → 45.
• Titles under 30 characters: 75 → 66.
• Insecure http:// links: 14 → 12.
• Pages that fit no topic: 1 → 0.
• Per-URL field changes: 3 URLs gained a meaning score (null → 0.898, 0.896 and 0.899). No status, title, meta description, H1, indexability, canonical or word count changed on any URL.
• Added URLs (19): 7 under /news/ and 12 under /notes/.
• Removed URLs (19): all /glossary/… entries from ai-referral-traffic to anova. These are the unreached pages from the crawl limit described above.

Home page audit (2026-10-28 14:20 UTC)

• Status and indexing: 200, indexable, canonical points to itself, meta robots index, follow, no redirects.
• AI bots in robots.txt: each bot below is allowed by Allow: / in the * group.
• Googlebot (Google Search and AI Overviews)
• OAI-SearchBot (ChatGPT search)
• GPTBot (training only)
• ClaudeBot (training only)
• PerplexityBot
• Google-Extended (training only)
• Claude-SearchBot: the audit did not report it, so I can't say whether it is allowed.
• Schema: the audit reports one error, SoftwareApplication.aggregateRating|review. It also reports two warnings, Offer.url and ListItem.item.
• Accessibility (axe-core): 4 serious issues and 1 moderate issue.
• Serious: colour contrast on the "Light" toggle, the dl structure on the KPI block, dt/dd outside a dl, and a label-content mismatch on the glossary graph link.
• Moderate: content outside landmarks.
• Alt text: 22 of 30 images have no alt text.
• Trust signals: trust.author is empty and dateModified is empty.

Not covered

• Key URLs: the {key_urls} placeholder was never replaced with real URLs, so no key URL besides the home page was audited. Send the list and I'll run the audits.
• Crawl limit: crawl 33 stopped at 300 URLs with 1,655 still queued. Pages beyond the limit were not compared, and the found/removed lists above reflect the limit only.
• Lists: I showed the full added and removed lists, but only summarised the checks.
• Embeddings: crawl 33 has 300 of 300 pages embedded, but I did not run topic or semantic analysis.
• Tools that failed: two wait_for_crawl calls timed out. The crawl finished anyway, and I confirmed that with get_status.
• Search Console: no data was used.

getlooploop.com progress report

This is not a 30-day comparison. All 12 saved crawls were run in the last 3 days, from 2026-10-26 to 2026-10-28, so no crawl from about 30 days ago exists. I compared the oldest complete crawl with the newest, and everything below covers that 2-day window only.

The client PDF is saved here: C:\Users\you\Documents\gllmolfar-report-www.getlooploop.com-2026-10-28.pdf. It was made from crawl 32, the newest one. It is a standard crawl report and does not include the comparison.

Most important points

1. Six pages are newly not indexable. Crawl 2 (2026-10-26) had 0 and crawl 32 (2026-10-28) has 6. The comparison did not say which pages. Run get_fix_urls on crawl 32 to list them. If the six are meant to be blocked, nothing needs doing. If they are not, fixing them lets search engines index them again. A new crawl will show whether they are gone from the list.
2. The "lost pages" figure is not real. The 109 pages listed as removed were not reached by crawl 32, which stopped at its 300-URL limit. None are confirmed gone, moved or failed. These pages are mostly /uk and /es translations, plus legal pages and older news and notes. To check them, crawl again with a higher limit.
3. Two pages changed on getlooploop.com. The /gllmolfar meta description no longer says "up to 5,000 URLs", and its word count went from 2,445 to 3,489. The word count of /legal/privacy went from 640 to 1,265. This comes from crawl 2 and crawl 32.

Findings by source

Health score (GLLmolfar's score, not a Google score): 90 in crawl 2 (2026-10-26) and 89 in crawl 32 (2026-10-28). Errors were 0 in both.

Fixes gone and new fixes: I cannot report these. Crawl 2 was saved before version 0.7.36, so it has no per-check counts and the comparison skipped them. The work-done and new-fixes parts of your request are unanswered.

Pages found and lost (crawl 2 against crawl 32):

• Found: 259, mostly /glossary/ pages and /skills/ pages, plus one news article.
• Not reached: 109, as explained above.
• Not comparable: the crawls used different limits, 150 pages and 300 pages.

AI bots in robots.txt: robots.txt did not change between the two crawls. No AI bots are blocked in either one. I did not run the bot check, so I have not tested what each bot can actually fetch. The comparison does not tell me what robots.txt says about any single bot, so I make no claim for OAI-SearchBot, Claude-SearchBot or Googlebot.

Search Console: I have no Search Console tool in this session, so there is no comparison of clicks, impressions or CTR and no list of queries that fell by more than 20%.

Not covered

• Crawl 32 hit its 300-URL limit, so it is a sample of the site.
• The comparison has no per-check data, so there is no fix comparison.
• No Search Console data.
• I did not run the AI bot probe.
• Embeddings exist for crawl 32 (300 pages). I did not use them for topics or duplicate pages.

One-page summary for the client

Where the site stands: The website is in good shape. Our health score is 89 out of 100, and the crawler found no broken pages. This is a first check, so we have no earlier month to compare with yet.

What changed this week: Two pages were updated: the GLLmolfar product page and the privacy policy. No search or AI crawlers are blocked on the site.

One thing to look at: Six pages are now marked "not indexable", which means search engines will skip them. Some pages are meant to be hidden, so we will check whether these six are. Fixing any that should not be hidden lets search engines include them. We cannot promise this will raise rankings or traffic.

Priorities for next month:

1. Check the six pages. Decide whether they should be indexed, fix any that should, and run the crawl again to confirm.
2. Run a full crawl. Raise the page limit so every page is covered, including the Ukrainian and Spanish pages the last crawl did not reach. That gives a reliable baseline for next month's comparison.
3. Connect Search Console. Without it we cannot show clicks, impressions and falling search queries. With it, the next report can show real search results.

Should I run the full crawl now? I can also list the six non-indexable pages from crawl 32.

GetLoopLoop.com AI search audit

Sources: "Crawl" means GLLmolfar crawl #32, the open crawl (start URL https://www.getlooploop.com/, 300 of 300 URLs, 300 embeddings). The tool results gave no crawl date. "Probe" is the AI bot check run 2026-10-28 13:36 UTC. "Audit" is a URL audit of 2026-10-28 14:03 UTC. Search Console was not used.

Top 3 changes

1. Add named authors and visible dates to the content templates. (P1)
2. Crawl: 225 URLs (75%) have long pages without an author. 218 URLs (72.7%) have no date.
3. The glossary page I audited shows "Written by Prepared at GetLoopLoop" and "Updated September 2026". That is no named person.
4. The audited home page and /news have no author and no dateModified. Their datePublished is identical (2026-10-16T10:32:57Z), which looks like a template default. That is my judgment.
5. Add a byline to an author page and a Person with sameAs in the Article schema. Add datePublished and dateModified per page. This unblocks trust signals, which are the weakest part of the score (36).
6. To verify, run audit_url on one page and check trust.author and the dates. Then run a new crawl and check ai.noAuthor and ai.noDate.
7. Source the claims on the glossary and skills pages. (P1)
8. Crawl: ai.claims affects 42 URLs. 33 of them are under /skills/. The rest are /glossary/, /ai-volatility, /gllmolfar, /questions and /voicescope.
9. Audit of /glossary/ai-visibility: it has 0 stat sentences. It does make unsourced assertions: "Earn at least three high-quality backlinks", and a first-person "Worked example" about "BrandX" with no source. My judgment is that these read as invented illustration.
10. Link each figure or example to its source next to the sentence. Mark illustrations as hypothetical.
11. To verify, run a new crawl and check ai.claims.
12. Fix the required schema properties. (P2)
13. Crawl: structured.errors affects 156 URLs (52%). The home page is one. Audit: it lists SoftwareApplication.aggregateRating|review as missing.
14. Add the missing property, or remove the markup that cannot be filled honestly. Google requires it for the rich result. This unblocks eligibility for that rich result.
15. To verify, run audit_url on the home page and check that schemaErrors is empty.

No P0 findings. In this crawl, probe and audit I found no content that needs JavaScript, no blocked search bot and no bot wall.

P0

None found.

• JavaScript (audit): raw and rendered word counts are the same on all three pages: home 1,931/1,931, /glossary/ai-visibility 1,006/1,006, /news 1,108/1,108. 0 words appear only after JavaScript. The only JS difference is 2 links on each page.
• Search bots (probe): no AI bot is blocked in robots.txt, and every path listed is allowed. All 10 pages fetched as OAI-SearchBot and Claude-SearchBot came back OK, with 0 challenge, 0 blocked and 0 robots.

P1

• Author and dates are in the Top 3 above.
• Claims without sources are also in the Top 3 above.
• Low main-content share: crawl ai.lowMain affects 21 URLs (7%). All are under /skills/* (templates such as affaan-m/ecc: 4 URLs, and open.feishu.cn, open.larksuite.com and code.deepline.com: 2 each). In the audit, chrome words are small on the three pages: 93 of 2,247 on home, 164 of 1,306 on the glossary page, 87 of 1,684 on /news. They are not low-main pages.
• Passages that need an earlier passage: crawl ai.dangling affects 7 URLs. 3 are /glossary/, and there is 1 each for /legal/, /news/, /vectorscope and /vectorscope/. Open each section with its subject.
• Walls of text: crawl ai.walls affects 67 URLs, 14 of them under claude-seo. It is low importance. Add a heading every few paragraphs.

P2 (key fixes by template, crawl)

• nonIndexable: all 6 pages are on the /skills template. Check whether they should be indexed. If they should, remove the noindex or point the canonical at the page itself.
• Other crawl findings:
• cannibal (14 URLs, high).
• hreflang.noReturn (6, high) and hreflang.missingSelf (6).
• a11y.unlabeled (1, high).
• images.missingAlt (41). The audit shows 22 of 30 images without alt on home, and 6 of 6 on the glossary page.
• 58 external 4xx links.
• 14 http:// links.
• 23 pages under 250 words.
• Duplicate titles (7), duplicate descriptions (7) and duplicate H1s (7).
• Over-long titles (137), descriptions (131) and H1s (148).
• 10 slow URLs.
• Missing X-Content-Type-Options (300 URLs).
• Cookies without Secure (299 URLs).
• Not in the fix list: jsContent, javascript.* and noInlinks do not appear, so I did not count them.
• Audit: all three audited pages show inSitemap: false and 0 inlinks. These are single-page audit rows, so I am not confident they reflect the crawl. Confirm in the crawl before acting.

Google: SEO basics

• Googlebot (audit): allowed on all three pages (robots.txt lines 2, 17 and 13). All three are indexable with 200 status and a self-canonical.
• Titles and descriptions (audit): home title is 57 characters (528 px). /news title is 60 characters (594 px), over the 580 px cut. Descriptions are within limits. In the crawl, 122 titles are over 580 px.
• Duplicate and hreflang issues (crawl): 14 pages near-duplicate another page. 7 titles and 7 descriptions are duplicated. 6 URLs have hreflang return-link or self-reference problems. Fix these to avoid split signals.
• Schema (audit): the home page has Organization, WebSite, SoftwareApplication, WebPage, FAQPage and ItemList. It has one error and two warnings (Offer.url, ListItem.item). The glossary page has no schema errors.
• Performance and headers (audit): response times were 1.3–1.7 s on the three pages, and the crawl lists 10 URLs over 1 s. cache-control is no-store on all three. That is my judgment: a cacheable response might help speed.
• Accessibility (audit): axe flagged colour contrast, definition-list structure and a label mismatch on home. /news has no <main> landmark.

Other engines: structure a retriever can extract

• AI readiness (crawl #32, probe): score 87/100. The four parts are access 100 (weight 0.35), readability 91 (0.30), meaning 95 (0.20) and trust 36 (0.15). This is GLLmolfar's score, not a ranking factor.
• robots.txt per bot (probe): all allowed on /, /skills/, /glossary/, /news/, /notes/, /legal/, /vectorscope/, /free-tools/ and /ai-volatility/. Blocked paths: none for any bot.
• Search: OAI-SearchBot (OpenAI), Claude-SearchBot (Anthropic), PerplexityBot and Amazonbot. All allowed.
• User: ChatGPT-User, Claude-User and Perplexity-User. All allowed.
• Training: GPTBot, ClaudeBot, Google-Extended, Applebot-Extended, CCBot, Bytespider and meta-externalagent. All allowed. Allowing training bots is a choice. It does not affect the search bots.
• Fetch as each bot vs a browser (probe): for the 10 bots that were fetched (GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, Claude-SearchBot, Claude-User, PerplexityBot, Perplexity-User and Amazonbot), each result was 10 OK, 0 less content than the browser, 0 challenge, 0 blocked and 0 robots. That matches the browser. Google-Extended, Applebot-Extended, CCBot, Bytespider and meta-externalagent were checked in robots.txt only, with no fetch.
• llms.txt (probe): found at 33 KB, titled "GetLoopLoop", with 32 links, 15 sections and 0 broken links. llms-full.txt was not found.
• Markdown for agents (probe): not offered on the 3 URLs tested. The Accept: text/markdown header returned text/html, and the .md twin returned 404. HTML is fully readable without JavaScript, so this is optional. It would let agents fetch a cleaner copy. To verify, run the probe again.
• Structure (audit):
• Home has 5 question-style headings, 19 lists and an FAQPage block.
• The glossary page has 10 numbered H2 sections and a FAQPage block.
• /news has 3 H2s and 19 H3s.
• The /news H1 merges the site name and tagline ("Signal Observatory What changed in search and AI this week").
• Retriever issues: the 7 dangling-section pages, 67 walls of text and 21 low-main pages above all affect how well a passage can be quoted on its own.

What I did not cover

• Crawl size: you asked for 500 URLs if no crawl was open. Crawl #32 was open, so I used it. It has 300 URLs and its limit was 300, so any URLs beyond that are missing. The crawl date was not in the tool results.
• Probe: about 10 pages per bot. Five training bots were checked in robots.txt only.
• Fix list: it returned 33 fixes, which is the full list. I did not call explain_fix or get_fix_urls, so the URL lists per fix are not shown.
• Not counted: jsContent, javascript.* and noInlinks are not in the fix list.
• Embeddings: all 300 pages have embeddings. I did not use topics, cannibalization detail or semantic search.
• Not run: Search Console data and Markdown tests beyond 3 URLs. No tool failed.
• Report: I did not save it with save_report.

URL audit of https://www.getlooploop.com/

Source for everything below: URL audit, 2026-10-28 14:04 UTC (HTTP 200, indexable). No crawl was running when I checked, so I ran the audit. I did not call crawl 32 or any other tool. Where a line is my own reading, I mark it as judgment.

The 3 most important changes

1. Fix the aria-label on the glossary graph link (.home-graph-preview). Its accessible name does not contain its visible text. This is a names-and-labels fix (WCAG 2.5.3).
2. Fix the <dl> markup in .home-kpis. One block of markup causes two serious violations, definition-list and dlitem.
3. Raise the colour contrast on .shadow-sm > .sm\:inline.hidden (the "Light" theme label) and .home-moved-axis--window. After the change, run the URL audit again.

1. axe-core violations (impact critical or serious)

Source: URL audit, axe-core 4.14.0. There are no critical violations. There are 4 serious ones. Corrections follow your sequence.

Names and labels

Content without JavaScript (markup served in the HTML)

All other items

2. What JavaScript changes

Source: URL audit (raw HTML compared with the rendered page).

• Title, canonical, meta robots: the audit reports no difference. Title is "GetLoopLoop — AI Visibility Tracking for ChatGPT & Gemini". Canonical is https://www.getlooploop.com/. Meta robots is index, follow. The audit lists only links under jsDiff.
• Links: 2 differ. The rendered text adds "Sign in" and "Start" in the header, and they are absent from rawText. (judgment: these are the 2 links the audit counts.)
• Word count: 1931 raw and 1931 rendered, so no difference. The rendered HTML is 754 bytes larger (273,632 raw, 274,386 rendered).
• Not covered: the audit gave no list of which links changed beyond the count.

3. Prices, plan limits, contact data, testimonials

Source: URL audit, rawText and renderedText.

Other findings:

• Schema error: the audit flags SoftwareApplication.aggregateRating|review. The visible page has no testimonials or ratings to back it.
• Schema warnings: Offer.url and ListItem.item.
• The JSON-LD in the audit output was cut off, so I did not check the whole block.
• Everything else in the sections above is in both rawText and renderedText.

4. robots.txt per AI bot

Source: URL audit. robots.txt was found. Every bot is allowed by Allow: / in group * (line 2).

The audit did not include Claude-SearchBot, so I have no result for Claude search.

5. Does the response change with the Accept header?

I did not test this. The audit tool sends one request and has no Accept-header option, and I have no other tool to send a custom request. The only hint is the vary header: rsc, next-router-state-tree, next-router-prefetch, next-router-segment-prefetch. It does not list Accept. That suggests the HTML does not change by Accept, but it only shows what the server declares, not what it does. To verify, request the page with Accept: text/markdown and Accept: text/html and compare.

Not covered

• Accept-header test (above).
• Claude-SearchBot robots result.
• Visible text of the glossary graph link and measured contrast ratios (the audit did not return them).

Appendix: other findings from the same audit

• axe region (moderate, 5 nodes): targets .pb-20, .home-eyebrow.text-gll-cyan and others in the hero. Put the hero content inside a landmark such as <main>.
• Images: 22 of 30 have no alt text.
• Sitemap: the page is not in the sitemap (inSitemap: false).
• Cache-Control: private, no-cache, no-store.
• Open axe items: 2 "incomplete" results that need manual review.

AI Visibility glossary page: review and rewrite of two sections

Page: https://www.getlooploop.com/glossary/ai-visibility Sources: crawl 32 (https://www.getlooploop.com/, 300 URLs, limit 300, embeddings on) and a URL audit run on 28 Oct 2026 at 14:05 UTC. Judgments are marked (judgment).

The most important changes

1. Answer "why does ChatGPT not mention my brand" on the page itself. (judgment) The page has no section for it. The only related text is the first "Asked out loud" answer, which begins with "Yes" to a question that is not yes/no. The draft in the rewrite below fits this question at 0.788, against 0.471 for the current page.
2. Rewrite section 03 so it can be measured and sourced. (judgment) It has no number, no named bot and no steps. The draft raises the fit for "how do I measure my brand in ChatGPT answers" from 0.553 to 0.717.
3. Move the measurement section up. (judgment, not measured) On the current page it is the 4th passage. The draft only tested the new text in isolation, so I cannot confirm that moving it improves retrieval.

1. Semantic search on crawl 32

The search returned only one section per page (the top section, mostly the intro). I could not see the page's own section scores there. For section-level scores I used measure_text.

2 and 3. Section audit

Source: URL audit, 28 Oct 2026, rendered text of 1,006 words. Judgments are (judgment).

Other findings from the audit:

• The audit's headings list shows 10 H2 sections plus H3s. Zero headings are phrased as questions (questionHeadings = 0).
• All six bots checked (Googlebot, GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended) are allowed by "Allow: /glossary".
• The page has no author or dateModified in its structured data, and no statistic sentences (statSentences = 0).

4. Rewrite plan by section

• Intro: keep as is. It is the page's strongest passage for question 1.
• 01: open with the definition, name "AI Visibility" in the last sentence in place of "It", and source one claim.
• 02: add the source or reason for each action.
• 03 (rewritten below): lead with the method, name the metrics, source the facts.
• 04: attach one source per mistake.
• 05: replace "It is also different" with the subject name.
• 06: replace BrandX with a real, dated, sourced case.
• 08 (rewritten below): start with the cause and name OAI-SearchBot.

5. Rewrites of the two weakest sections

Both sections keep the page's plain-English glossary voice.

03 How to measure AI Visibility in ChatGPT answers

To measure AI Visibility in ChatGPT, ask ChatGPT the questions your buyers ask, then count how many answers name your brand and how many cite your URL. AI Visibility has no public score, so the measure is your own count: brand mentions divided by questions asked, repeated on the same list of questions each week.

Use three readings, and keep them apart:

- Mentions: the share of ChatGPT answers that name your brand. Ask five to ten buyer questions and record yes or no for each.

- Citations: the share of answers whose source list includes a URL of your domain.

- Search Console: Google Search Console shows impressions and clicks for Google Search only. It does not show ChatGPT answers.

Brandscope, a free GetLoopLoop tool, puts five buyer questions to ChatGPT, Claude and Gemini and shows each answer beside your own page. Run the same questions again after every change to your pages, because a citation can fade within days (GetLoopLoop market analysis, 16 October 2026).

08 Why ChatGPT does not mention my brand

ChatGPT does not mention your brand when its search crawler cannot fetch your pages, or when no page of yours answers the question in a passage it can quote. Check these three causes in order.

1. Access. OAI-SearchBot is the crawler that controls ChatGPT search. If robots.txt disallows OAI-SearchBot, ChatGPT search cannot read your pages. GPTBot controls training only and does not decide this. On getlooploop.com, the URL audit of 28 October 2026 shows OAI-SearchBot allowed by "Allow: /glossary".

2. Answer. A page must state the answer in its first sentence and name the brand in it. A page that says "it" or "this" gives the model nothing to quote.

3. Competition. The model may prefer a competitor's page that matches the question better. Compare your best passage with theirs for the same question.

To verify a change, ask ChatGPT the same question again after the page is re-crawled, and run the URL audit again to confirm OAI-SearchBot is still allowed.

6. measure_text results (draft against the current page)

The draft contained only the two new sections (345 words, 2 passages). The current page has 10 passages.

The tool also reported "fit-lower". That is for question 1 ("what is AI visibility"): 0.607 on the current page, 0.454 in the draft. I did not rewrite the passage that serves that question, so section 01 and the intro stay in place. (judgment)

Decision (judgment):

• Keep both rewrites. The fit is higher for questions 2 and 3, and there is no new overlap.
• The "answer in an earlier passage" test is not met. Moving section 03 higher on the real page is a recommendation that has not been measured.
• Re-run measure_text with the full revised page, not only the two sections, to get a real position and an overall fit before publishing.

Not covered

• Section scores for the target page in semantic search. The search returned one section per page, so I used measure_text for per-passage scores.
• Crawl size. Crawl 32 has 300 URLs (limit 300), and every URL has an embedding. It is a single crawl from 28 Oct 2026, with no comparison to earlier crawls.
• Not run: Search Console data (not available), and ChatGPT itself. Nothing here shows what ChatGPT answers today.
• Facts used in the draft that need checking before publishing.
• The statement that a citation fades within days comes from the title and subtitle of a GetLoopLoop page in the crawl ("citations fade in 11 days"). I did not read the full article.
• "Five to ten questions" is my suggestion, not a sourced figure.
• Pages I did not measure: neighbouring pages (/brandscope, /glossary/ai-overview) beyond their nearest-neighbour scores.

Verifying after publishing

1. Run the URL audit on the page again to confirm the new text is served and OAI-SearchBot is still allowed.
2. Re-run the three semantic searches in a new crawl.
3. Run measure_text on the full page. The changes unblock a clearer answer for retrieval. They do not promise citations, rankings or traffic.

I'm summarising 30 semantic searches on the loaded crawl and writing the report. Crawl 32 was already open and no crawl was running, so I started nothing.

AI visibility tracking: coverage check for getlooploop.com

Sources. [C32] means semantic search on crawl 32 (28 Oct 2026, about 13:33 UTC, 300 pages, all 300 embedded). [J] means my judgment. I did not use URL audit or Search Console.

The 3 changes that matter most

1. Answer "What is GetLoopLoop?", "vs Profound", "alternatives" and "price" in one place (Q27, Q29, Q12, Q30).
2. [C32] For "What is GetLoopLoop?" the best page is /legal/terms (0.547), and the homepage is not in the returned list. For "GetLoopLoop vs Profound" the best page is again /legal/terms (0.441).
3. [J] Add a "What GetLoopLoop is" block to the homepage. Add one comparison page that covers both "vs Profound" and "alternatives". Add a "What is free, what costs money" page.
4. What this unblocks: a retriever finds a page that answers a brand question, instead of a legal page that only matches the name. Verify: run the same four questions on the next crawl.

1. Add one page on AI bot access (Q4, Q19, Q22).
2. [C32] Best scores are 0.516, 0.474 and 0.479, and none has a clear leader. For "Which AI crawlers read my site?" the top page is /glossary/ai-referral-traffic.
3. [J] Write "Which bot controls which assistant", with one claim per bot: OAI-SearchBot controls ChatGPT search, Claude-SearchBot controls Claude search, Googlebot controls Google Search and AI Overviews. GPTBot, ClaudeBot and Google-Extended are training only. Add a how-to section for each of OAI-SearchBot and Claude-SearchBot.
4. What this unblocks: a page whose text answers the crawler questions. Verify: re-run the three questions on the next crawl. To check your live robots.txt, run get_ai_readiness or audit_url, which I did not run.

1. Add one "how to choose" page for the choose-intent questions (Q11, Q13, Q14, Q17, Q18).
2. [C32] Every one of these has a best score of 0.442–0.521 and a gap under 0.05. /brandscope or /glossary/ai-visibility is top or second in 3 of the 5.
3. [J] Write one hub page: how to choose an AI visibility tool. Sections: AI visibility tracking vs rank tracking, crawl audit vs prompt sampling, suite SEO tool vs specialised tool, and a small-team path.
4. What this unblocks: a page that matches comparison questions. Verify: re-run the five questions on the next crawl.

One duplicate to fix.

• [C32] For Q16, /glossary/ai-overview (0.568) and /glossary/ai-overviews (0.562) are 0.005 apart.
• [J] These look like two pages for one topic. Merge them or canonicalise one to the other, then run GLLmolfar's cannibalization view to confirm.

How I decided "clearly"

All numbers are [C32].

• Best scores run from 0.441 to 0.670, a spread of 0.229. The median best score is 0.55.
• Gaps (best minus second) run from 0.002 to 0.266. The median gap is 0.024.
• Clearly above = gap of 0.05 or more. That is about the top quartile of gaps and about a fifth of the spread.
• A (coverage gap) = gap under 0.05 and best score below 0.55. That is 14 questions.
• Overlap (o) = gap under 0.05 and best score at or above 0.55. Several pages answer, none leads. That is 8 questions.
• B (cannibalization) = top two are both our pages, within 0.010, on the same intent. That is Q16 and Q30.
• C (answer only in section 3 or lower) could not be tested. The tool returned one section per page, section 1 for all 30, so no question is flagged. Deeper sections may exist but were not scored.

Eight questions have a clear leader: Q2, Q8, Q9, Q15, Q24, Q25, Q26 and Q28.

Appendix 1: all 30 questions [C32]

Section is §1 for every row. L = learn, C = choose, T = task, B = brand. "Home" is the homepage /.

Patterns [C32].

• /glossary/ai-visibility or /brandscope is the top page for 11 of 30 questions.
• At 0.670, the strongest match in the whole run is only moderate.

Close calls [J].

• Q21 (0.002 gap) is a news analysis against a tool page. I read that as overlap, not cannibalization.
• Q5, Q1 and Q22 have gaps of 0.014, 0.015 and 0.011, just outside the tie band.

Appendix 2: proposals for the 14 coverage gaps [J]

Where one page serves several questions, I merged them to avoid creating new cannibalization.

Not covered

• URL limit. Crawl 32 stopped at its 300-URL setting with nothing queued. Earlier crawls (25, 27) reached 500 pages, so some pages are not in this run.
• Lists cut. Each search returned a list of about 20–30 pages. I recorded only the top two per question.
• Sections. The tool gave one section per page, so criterion C is untested.
• Pages without embeddings. None; 300 of 300 are embedded.
• Tools not used. I did not run get_ai_readiness, audit_url, get_fixes, Search Console or the cannibalization view. Your live robots.txt is unverified.
• Tool failures. None.
• Questions. All 30 are my own, not real prompt data. I chose the competitors Profound and Semrush myself, so please confirm them.

I can also turn this into a shareable page if you want to send it to your team.

Google does not use llms.txt. The file is for other agents and tools.

The draft is saved at (work folder)\llms.txt. It has 26 link lines under 9 H2 sections.

Most important points

1. A live llms.txt already exists (AI readiness probe, 2026-10-28): 33 KB, 32 links, 15 sections, 0 broken links. Compare this draft with it before you replace it. This draft is shorter, with 26 links.
2. No about, pricing, documentation or contact page is in crawl 32. The page table has no URL for any of them. They are left out, not guessed. The Home page is included. I added a "Site" section for it, plus methodology, questions and legal, which you did not ask for.
3. Most topics are clusters of agent-skill pages and glossary terms. There are no guide pages for these topics. For "Workflows published" and "Technical SEO" I used the /skills hub and the highest-scoring skill page. For "Ad affiliate" and "Testing variance" the best matches are weak. The scores are 0.52 and 0.37 for Ad affiliate, and 0.52 for Testing variance. Check these two sections by hand.

Sources

• Crawl 32 (open crawl, 300 pages, embeddings on): topics, semantic search, and the pages table. I kept 294 pages that are status 200, indexable and have a canonical to themselves. Every URL in the draft is among them. Each line comes from that page's title, H1 and description, with no marketing claims added.
• AI readiness probe (2026-10-28): the current llms.txt data above.
• My judgment: which page best shows each topic.

AI access

• OAI-SearchBot, Claude-SearchBot and PerplexityBot: robots.txt allows all paths, and 10 of 10 test pages were fetched without problems.
• Googlebot was not tested.
• llms.txt does not unblock any bot. To check changes, run get_ai_readiness again with run_probe.

What I did not cover

• Crawl 32 stopped at its 300-page limit, so pages beyond it are not in the draft.
• I ran one semantic search per topic and took only the top results. I did not check each topic's other pages.
• The 6 pages that are not status 200, not indexable or not self-canonical are excluded. I did not list them.
• The topic names are GetLoopLoop's cluster labels (such as "Ai getlooploop"). I used them as H2 headings with light capitalization. Rename them before you publish.

Appendix: pages per topic

The "Site" section adds 4 more lines.

Refresh brief: https://www.getlooploop.com/glossary/ai-visibility

Sources. Crawl 32 of getlooploop.com (28 Oct 2026, 300 of 300 pages, embeddings on) gave the fix list, get_pages data and semantic search. A live URL audit on 28 Oct 2026 at 14:11 GMT gave status, text, headings, JSON-LD and robots.txt. measure_text on the current page text gave passage positions. Anything marked "judgment" is mine.

The 3 most important changes

1. Add an author and real dates.
2. Crawl 32: ai.noAuthor and ai.noDate both fail for this page, and get_pages returns empty author, datePublished and dateModified.
3. URL audit: the visible text says "Updated September 2026" and "Prepared at GetLoopLoop", with no named person. The DefinedTerm JSON-LD has no dates and no author.
4. Change: show a byline linked to an author page, with a Person that has sameAs. Add datePublished and dateModified to the JSON-LD and show the same dates on the page.
5. What it unblocks: an assistant can see who stands behind the page and how current it is.
6. Verify: run audit_url and check that trust.author, trust.datePublished and trust.dateModified are filled. Then re-run crawl 32's checks and confirm the URL no longer appears under ai.noAuthor and ai.noDate.

1. Move the SEO-difference answer up, and add sections for the questions this page answers worst.
2. measure_text, current page, 10 passages: the answer to "How is AI visibility different from SEO?" sits at passage 8, although the tool's rule is that the answer should appear by passage 2. Its score is 0.727, so the content is fine and only the position is wrong.
3. measure_text, current page: the robots.txt question scores 0.464 at passage 6, and the timing question scores 0.470 at passage 3. Both scores are weak.
4. Semantic search, crawl 32, rank of this page among our pages: see the table in the next part.
5. Change: add the sections listed in "Sections to add" below.
6. Verify: run measure_text again with the new draft and the same six queries, and look for scores above the current ones and the SEO answer at passage 2 or earlier.

1. Source or remove the unsourced numbers, and label the example.
2. URL audit: the only source is the generic "Google Search Central" link. The page says "at least three high-quality backlinks" and "a few weeks" with no source.
3. URL audit: the "Worked example" is a made-up BrandX quote written as if it were a real test.
4. Change: link each figure to its source, or reword it as a judgment. Mark the BrandX example as illustrative.
5. Verify: audit_url should show trust.statSentences and external content links that match the claims.

Facts and dates to update

• Visible date. "Updated September 2026". Today is 28 Oct 2026. Update it only after you actually change the content, and put the same date in dateModified.
• Crawl 32 fix list for this page: titles.below30, ai.noAuthor, ai.noDate, content.lowRatio, headers.insecureCookies, security.no_xcto, security.no_csp, security.no_xfo, security.no_referrer.
• Title. The title is "AI Visibility — GetLoopLoop", 27 characters. Add the topic.
• Section 03 (measurement). It names "Google's AI Search or Microsoft Copilot". Check the product names against current ones.
• Section 03 (measurement). It says "no public score" and does not mention our own tools, Brandscope or Vectorscope. Judgment: say what they measure.
• Section 08 answers. Some start with "Yes" or "No" and do not answer the question asked. For example, "why isn't my brand showing up?" is answered with "Yes, the AI may not be pulling…".
• AI access, URL audit of 28 Oct 2026. robots.txt allows Googlebot, GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot and Google-Extended for /glossary (group *, line 17). Bot by bot:
• OAI-SearchBot: allowed, so ChatGPT search can fetch the page.
• Googlebot: allowed, so Google Search and AI Overviews can fetch it.
• ClaudeBot: allowed. It controls training only, and says nothing about Claude search.
• Claude-SearchBot: not checked, because the tool did not list it.
• Sitemap. The URL audit reports inSitemap: false. Check sitemap.xml yourself before acting.
• Alt text. The URL audit reports 6 images with no alt text. Crawl 32 does not list images.missingAlt for this page, so the two sources disagree. Check this.
• Accessibility, axe-core in the URL audit: two serious violations, color-contrast (3 nodes) and link-in-text-block (the CC BY 4.0 link).

Sections to add

Rank is this page's rank among our pages in semantic search on crawl 32. "Passage" is the best-matching passage number from measure_text on the current page.

What to add:

• A robots.txt section by bot. Say that OAI-SearchBot controls ChatGPT search, that Claude-SearchBot controls Claude search, and that Googlebot controls Google Search and AI Overviews. Say that GPTBot, ClaudeBot and Google-Extended control training only. This is the weakest question (rank 13).
• A short section on timing. The current answer, "a few weeks", has no source. Describe what to re-check and when. Do not promise a timeline.
• A "how to measure" section that names the tools. It should say what Brandscope and Vectorscope show, and link to them. /brandscope currently beats this page on this question.
• A "how to get cited" section. Cover which passages assistants quote. Judgment: link /news/brands-in-ai-answers-october-2026-a-market-analysis, which scored 0.548 on this question.

Limit of these results. Semantic search returned only the page-level block, headed "GetLoopLoop", for every result, so it could not name which section answers. I used measure_text passage numbers instead. Only passages 1 (intro), 3 (section 02) and 4 (section 03) have previews. The other numbers are positions only.

Sections to merge or remove (judgment, plus one measured fact)

• Section 08 "Asked out loud" and section 07 FAQ. Both are Q&A blocks that repeat each other, and the FAQ JSON-LD copies all 9 of them. Merge them into one FAQ of roughly 5 questions. Drop the generic ones, "Should we invest now or wait?" and "Is it still relevant after LLM updates?", unless you add specifics.
• Section 05 and the SEO FAQ answer. Both say AI visibility is different from SEO. Keep the answer once, near the top.
• "Quick audit checklist" and section 02. Both list the same actions. Keep one.
• The last sentence of section 01. "It is how often a brand appears…" repeats the definition in the intro.
• Section 09. It is an alphabetical list of unrelated terms: "Accountability, Action Space, ads.txt…". Replace it with 4 to 5 terms that really relate to this one.
• Cannibalization. The nearest page is /glossary/ai-overview at cosine 0.766, below the 0.94 cannibalization threshold. This page is not in the crawl 32 cannibal list. No merge is needed.

Internal links to add

• From the crawl 32 "links" opportunities: I searched all 239 for addLinkOn or linkTo pointing at this URL. There are none that point to it.
• The only entry involving this page goes outward: add a link from this page to /glossary/ai-overview with the anchor "ai overview" (similarity 0.814).
• Check. The single-page audit shows inlinks: 0 and linkScore: 0 for this page. That figure comes from the audit, not from the full crawl, so confirm it in crawl 32 before saying nothing links here.
• Judgment, not from the tool: /brandscope, /glossary/robots-txt, /glossary/share-of-voice and /glossary/ai-referral-traffic are the closest pages by meaning. Link them from the new sections above.

How to verify after publication

1. Run audit_url on the page. Check author, dates, title length, JSON-LD and the 6 robots.txt verdicts, and add a check for Claude-SearchBot if the tool supports it.
2. Run measure_text with the final draft and the same six queries. Look for the SEO answer at passage 2 or earlier and higher scores on the robots.txt and timing questions. Confirm that the nearest page stays below 0.94.
3. Run a new crawl, or audit_url for this page, and confirm the URL is no longer listed under ai.noAuthor, ai.noDate and titles.below30.
4. Run the semantic searches again and compare ranks with the table above.
5. Check the Spanish version /es/glossary/ai-visibility. It is linked through hreflang and needs the same date and author changes.

What I did not cover

• Search Console. There is no Search Console tool in this session, so I have no 90-day queries and no comparison with the previous 90 days.
• Crawl 32 size. It reached its limit of 300 URLs with 0 queued, so it may not include every page on the site.
• Semantic search. It gave page-level results only, with no named sections.
• measure_text baseline. I passed the page text as plain text, so the tool counted 3 passages. The live page measured 10, and I used the live page numbers.
• Not checked. I did not check Claude-SearchBot in robots.txt, and I did not check llms.txt.
• Other fixes. The security-header and cookie fixes are low importance and not covered here.

I can publish this as a shareable page if you want to pass it to the content team.

Stale, undated and unsourced content: crawl 32

Sources:

• Crawl 32 is the open crawl of getlooploop.com, 28 Oct 2026. It holds 300 pages, all with embeddings, and the URL limit was not hit.
• URL audit means audit_url runs on 10 pages, 28 Oct 2026 at about 14:13 UTC.
• No Search Console data was used.

No crawl was running. I did not start one.

Most important changes

1. Add a visible byline linked to an author profile page, plus a JSON-LD author Person. (crawl 32) 225 of 300 pages fail ai.noAuthor. I audited 10 of them (URL audit). The only Person in their JSON-LD is the site founder, "Olexandr", inside the sitewide Organization block. The skill pages name the publisher repo, such as agricidaniel/claude-seo, as an Organization author. The /questions answers are the exception. They carry a Person author with a LinkedIn URL, not an on-site profile.
2. The pages are built from templates, so this is a handful of template edits.
3. I did not check whether /about#author (the founder's @id) resolves to a real page. Check that first.
4. To verify, re-run the crawl, or run audit_url on one page, and confirm ai.noAuthor no longer lists the URL.
5. Show a publish or modified date on the page, and put the same date in JSON-LD. (crawl 32) 218 of 300 pages fail ai.noDate.
6. Every page that fails ai.noDate also fails ai.noAuthor.
7. On the 10 audited pages, JSON-LD has dateModified on only 2: /ai-volatility (2026-10-28) and /gllmolfar (2026-10-27). /questions has per-question dateCreated in JSON-LD (Aug 2026), but I did not see a visible date for it in the text I read.
8. On the skill pages the only visible date is "Last read Oct 26, 2026". That is a directory sync date. It is not a publish or modified date, and JSON-LD has none.
9. Verify with ai.noDate.
10. Link a source next to each number. (crawl 32) 42 pages fail ai.claims. 36 of them are in Technical seo (24) and Workflows published (14), and these are mostly skill pages.
11. On the 10 audited pages (URL audit), extContentLinks is 0 on every page, so there are no outbound links inside the content.
12. On /ai-volatility the figures are the site's own measurement, and a "How do we measure any of this?" section exists. Link that method from the numbers themselves.
13. Verify with ai.claims.

ai.stale flags 0 pages in crawl 32. That does not show the content is fresh. With 218 pages undated, the checker cannot judge age for them.

Access is not the problem. (URL audit) robots.txt allows Googlebot, OAI-SearchBot and ClaudeBot on all 10 pages. These fixes are on-page.

Pages by topic (crawl 32)

Each page was scored by how many of the 4 fix keys it fails. ai.stale is 0 for every page, so the maximum score is 3. 37 pages score 3.

The score columns come from my own set arithmetic over the get_pages lists. They sum to each topic's total.

The topic labels are GLLmolfar's embedding clusters, and they are loose. "Ai news" holds glossary hubs and category pages, not only news. I did not check each cluster.

URL audit of 10 pages

All 10 fail all three of ai.noDate, ai.noAuthor and ai.claims. Another 27 pages tie at the same score, so this is a spread across topics that I chose, not a ranking.

The skill pages already show an install count labelled "from the directory", with a skills.sh link in the text and in the schema. The gap is that this is not a source link attached to the number inside the content. I did not read the pages in full, so the dates and sources marked "none in the text I read" could appear lower on the page.

Plan per topic

• Workflows published (101 pages) and Technical seo (55 pages). These are mostly skill pages from one template.
• Add a "Last reviewed" or modified date to the template, and fill dateModified in JSON-LD from the same value. Use the directory sync date only if it is labelled as that.
• Add a GetLoopLoop reviewer byline linked to a profile page. Keep the skill's publisher in the page as the skill's publisher, not as the page's author.
• Attach the source link to the install counts and the "+x%" figures. Fix the 36 ai.claims pages first.
• Verify with a re-crawl and ai.noDate, ai.noAuthor and ai.claims.
• Ai getlooploop (53) and Ad affiliate (33). All 85 are glossary entries that fail the date and author checks, and none fails ai.claims.
• Add datePublished and dateModified to the glossary template.
• Add an author or reviewer line.
• Fix the template once. One template change covers the whole topic.
• Verify with a re-crawl, then ai.noDate and ai.noAuthor.
• Ai news (30). This is the only topic where ai.noAuthor (20) exceeds ai.noDate (14). The news articles and /news have a date but no author.
• Add a byline to the 5 news articles and /news.
• Add the date and byline to /ai-volatility, /questions and the three language glossary hubs.
• Link the method next to the volatility figures.
• Verify with ai.noAuthor, ai.noDate and ai.claims.
• Vectorscope ai (12). Add a date and author to /voicescope, /brandscope, /patternscope, /reviewscope, /vectorscope and /methodology. Add a byline to /vectorscope/claude-skill, which already has a date. Source the numbers on /voicescope. Verify with ai.noDate and ai.noAuthor.
• Text robots (10), Testing variance (5), No topic (1). These are glossary entries. The template fix for the glossary covers them. /glossary/robots-txt and /glossary/llms-txt are the pages where a date matters most, because the topic changes over time. Verify with ai.noDate and ai.noAuthor.

What I did not cover

• Only 10 of the 37 pages that score 3 were audited. The other 27 are in the ai.claims list. I did not audit any score 2 page or any page from the topics with no claims.
• audit_url returned only the start of each page's text, so whether a visible date or byline appears further down is unconfirmed.
• I did not check whether /about exists or has a Person profile.
• My first ai.noDate and ai.noAuthor calls were too large to print. I re-fetched them with only the columns url and topic, and all 218 and 225 rows came back. The set arithmetic for the table is mine.
• The shell was unavailable, so I did no scripted analysis of the saved files.
• The audits also showed schema errors (for example SoftwareApplication.aggregateRating|review) and security-header fixes. I did not report those here.
• No Jira tasks were created and no Search Console data was used.

I can write the Jira tasks (one per fix key) or publish this as a shareable page if you want either.

Structured data plan for getlooploop.com

Source: crawl 32, 2026-10-28 (300 pages, health 89). The page-level findings come from URL audits run on 2026-10-28 at about 14:15 UTC. Fix counts come from count_pages. The proposed JSON-LD is my judgment.

Crawl state: no crawl was running. I did not start one.

The 3 most important changes

1. *Fix the SoftwareApplication block on the /skills/ template.** This one template has 147 of the 156 error pages and 147 of the 161 warning pages.
2. The error is aggregateRating|review missing.
3. The warnings are Offer.url, Offer.availability, and Organization.url/logo/sameAs.
4. The Organization warnings probably come from the inline author, which has only a name.
5. Don't invent ratings. The pages show install counts, not reviews. Add the missing Offer and author properties and decide separately about the rating error (see Section 3).
6. Make the news headline match the visible H1 and clean up dateModified.
7. The headline in the JSON-LD is "Search & AI news, 22–26 Oct 2026: AI Overviews pass 80%". The visible H1 is "AI Overviews pass 80% as the clicks stay thin".
8. dateModified is 2 ms after datePublished, so it looks auto-generated. The page shows no modified date.
9. Fix /gllmolfar.
10. It lacks offers, which is an error.
11. It also lacks a rating or review.
12. Its publisher is an inline Organization that lacks logo and sameAs. Point it at the #organization node with an @id reference.
13. The page says "Preview 0.7.35", but get_status reports the local app as GLLmolfar 0.8.1. Confirm which version is current before you publish softwareVersion.

1. Counts by template (crawl 32)

Every page has some JSON-LD. The problem is incomplete properties, not absent markup.

2. URL audits (one URL per template)

3. Proposed JSON-LD

Facts in the snippets come from the audited pages. Anything marked TODO needs a real value from you.

Home (/)

The Organization already exists, and its sameAs lists only X and Discord. Add real profiles you own, such as a company LinkedIn page or GitHub org. Don't add a profile that doesn't exist.

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://www.getlooploop.com/#organization",
      "name": "GetLoopLoop",
      "url": "https://www.getlooploop.com",
      "logo": "https://www.getlooploop.com/brand/getlooploop-logo.jpg",
      "sameAs": [
        "https://x.com/Looploopnow",
        "https://discord.gg/Z6cRuhprMa"
        /* TODO: add company LinkedIn / GitHub URLs if they exist */
      ],
      "founder": { "@id": "https://www.getlooploop.com/about#author" }
    }
  ]
}

In the existing home SoftwareApplication, add "url" to the Offer. Use the page that explains invite-only access, which is a TODO. In the ItemList, give each ListItem an item as well as url:

{ "@type": "ListItem", "position": 1, "name": "Vectorscope",
  "item": "https://www.getlooploop.com/vectorscope" }

• I only saw the first part of the home JSON-LD. The tool output cut it off partway through the ItemList. Re-check the rest after the change.
• The home Offer says price 0 with LimitedAvailability. The visible text says "Invite-only". Make sure the markup says the same.
• Don't add a date to the home page. The only date I saw on it belongs to an article card.

Posts (/news/*)

There are no errors. Change the headline, drop or correct dateModified, and add an image:

{
  "@context": "https://schema.org",
  "@type": "NewsArticle",
  "@id": "https://www.getlooploop.com/news/ai-overviews-pass-80-as-the-clicks-stay-thin#article",
  "headline": "AI Overviews pass 80% as the clicks stay thin",
  "datePublished": "2026-10-26T18:18:47.010Z",
  "dateModified": "2026-10-26T18:18:47.010Z",
  "image": ["TODO: https://www.getlooploop.com/<real article image>"],
  "author": {
    "@type": "Person",
    "@id": "https://www.getlooploop.com/about#author",
    "name": "Olexandr",
    "url": "https://www.linkedin.com/in/olexandr-tsyrkin-07460539"
  },
  "publisher": { "@id": "https://www.getlooploop.com/#organization" },
  "mainEntityOfPage": "https://www.getlooploop.com/news/ai-overviews-pass-80-as-the-clicks-stay-thin"
}

• Headline: the new text matches the visible H1.
• Dates: datePublished matches the visible "26 October 2026". Only set dateModified to a later time if the page shows a real update.
• Word count: the current wordCount of 2847 differs from the crawler's count of 3161 words. I left it out. Add it back only if it is computed from the rendered text.
• Author: "Olexandr" matches the visible author line.

Product (/gllmolfar)

Use SoftwareApplication. Product doesn't apply to a desktop app.

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "@id": "https://www.getlooploop.com/gllmolfar#software",
  "name": "GLLmolfar",
  "url": "https://www.getlooploop.com/gllmolfar",
  "applicationCategory": "SEO software",
  "operatingSystem": "Windows 10 or later, macOS on Apple silicon",
  "softwareVersion": "TODO: confirm (page says 0.7.35, local app is 0.8.1)",
  "offers": {
    "@type": "Offer",
    "price": "0",
    "priceCurrency": "USD",
    "url": "https://www.getlooploop.com/gllmolfar",
    "availability": "https://schema.org/InStock"
  },
  "publisher": { "@id": "https://www.getlooploop.com/#organization" }
}

• Offer: the page's visible text says "50,000 URLs per crawl, free with an account". price: 0 agrees with that. If paid levels get their own offers, add them.
• dateModified: the existing markup says 2026-10-27. I found no visible date to match it, so drop it unless the page shows one.

Skills (/skills/*)

Keep the existing SoftwareApplication, WebPage and BreadcrumbList. Change the author and the Offer:

"author": { "@type": "Organization", "name": "agricidaniel/claude-seo",
            "url": "TODO: the publisher's real URL shown on the page" },
"offers": { "@type": "Offer", "price": "0", "priceCurrency": "USD",
            "availability": "https://schema.org/InStock",
            "url": "https://www.getlooploop.com/skills/agricidaniel/claude-seo/seo-schema" }

• Generate these fields from the template data, so every skill page gets its own publisher and URL.
• The name seo-schema and the 7,079 installs agree with the visible page.
• Rating or review error: you have two choices.
• Add a real aggregate rating or review only if you collect and show them.
• Otherwise accept the error as "not applicable". I can't tell from the crawl whether the rating-or-review property is required for rich results, so check the current Google documentation.

4. Google changes the rich result types

Google changes the rich result types. Check the current Google documentation before you depend on one. The seo-schema skill page on your own site, a data point from the crawl, says Google retired several types in 2025. FAQPage is one that its text flags as having no Google SERP rich result benefit.

5. Verify

• Run audit_url on each representative page after the change. The page is clean when its structured.errors and structured.warnings keys no longer list it.
• Run a new crawl to confirm the full templates.
• Check the markup against Google's current documentation or Rich Results Test. This change only unblocks eligibility and does not promise a rich result.

6. What I did not cover

• Crawl limit: crawl 32 hit its limit of 300 pages. A larger skills directory or other sections may exist.
• Pages I audited: only 4 pages, one per template. I did not audit /methodology, /brandscope, /patternscope, /reviewscope, /voicescope, /vectorscope, /free-tools, /news and /notes. They may differ from my samples.
• Home JSON-LD: truncated in the audit output, as noted above.
• Lists: I saw all 156 error URLs and all 161 warning URLs. I cut none.
• Tools and sources: no tool failed. I did not use Search Console or the Rich Results Test. Embeddings were not relevant to this task.

Appendix: pages per template with warnings or errors

The full URL lists are in get_fix_urls for structured.errors (156) and structured.warnings (161). The /skills/* group has about 60 publisher folders. The largest are claude-seo (25 pages), affaan-m/ecc (11), google/skills (10), marketingskills (9), aaron-he-zhu/seo-geo-claude-skills (8) and wshobson/agents (8).

Brief for a product landing page (reverse prompting)

Source: reverse prompting of https://www.getlooploop.com/gllmolfar, run mvs7769j56e7de7a, 2026-10-28. Build status: built, 13 blocks from 15 candidates. This is my reading of the page (judgment), not crawl or audit data.

get_status showed no crawl running (crawl 32 loaded, idle). I did not start one.

Three things to know first

1. The page opens with the result, then admits it is a preview. Hero first, then a block saying the build is unfinished and unsigned. Keep that order: candour comes early, before the feature detail.
2. Every claim comes with a limit. Scores, similarity and AI-readiness are described as leads for human review, never as rank or traffic promises. Copy this pattern in each feature block.
3. The build passed on the second try. The first build listed 6 overlap problems (lines repeating 6+ words from the page). I fixed only those lines and rebuilt.

Page profile

• Language: en
• Fictional example product: Sitelens, a desktop auditor that scans a site, shows how assistants read it, and ranks repairs.
• Page type: product landing page for a downloadable, preview-stage desktop tool.
• Audience: SEO specialists, content teams, freelance consultants and site owners who must decide what to repair first.
• Awareness: comparing_solutions.
• Tone: candid, precise, technical but plain; formality 3; second person.
• Promise: {product} gives {audience} a clear, evidence-backed list of what to repair next, without guessing, spreadsheet juggling or sending page text to a cloud service.
• Logic: result and download, then preview limits, views, method, evidence, data boundary, answers, honest rival table, closing download.
• Threads:
• each finding links to the exact pages behind it;
• analysis runs on the user's machine;
• limits are stated openly;
• a score is a lead for review.

Block prompts

Each prompt starts "Write a … block for {product}, aimed at {audience}. Write in English." Below are the job and the structure, with word counts as the build gives them.

Techniques that recur across blocks

• Put the result before the mechanism, and the mechanism before the numbers.
• Open each answer or card with the direct point, then one concrete detail, then a limit.
• Give each caveat its own plain sentence.
• Mark every comparison row with a symbol and a short qualifier, and concede rows where rivals do more.
• Avoid: superlatives, ranking or citation promises, naming rivals, apologetic wording.

What I did not cover

• Dropped candidates: b01 (navigation, tool menu and footer links) and b12 (two placeholder release notes). The brief also excluded one 13-word overlay.
• Truncated source text: several long paragraphs in the brief end in "…". My word ranges for those blocks rest on the brief's counts, not the full text.
• Build warnings: the build flagged 7 example lines as outside the stated range by more than 20%. The blocks are fine, and these are example texts only:
• Signal family 1 paragraph: 14 words against 18–25.
• Conduct note: 51 words against 80–95.
• Depth modes paragraph: 45 words against 75–90.
• Local storage paragraph: 30 words against 40–50.
• FAQ answer 1: 23 words against 35–135. It is only just outside the 20% tolerance and sits under the lower bound.
• Comparison headline: 7 words against 3–5.
• Comparison row 1 cell: 7 words against 20–60.
• Fix: lengthen or shorten those example lines, or widen the ranges, then rebuild.
• Names removed: the brand, rival and tool names are replaced with generic wording, as the rules require, so the examples contain no real product names.
• Not run: no crawl, semantic search, URL audit or Search Console data. Nothing here is a ranking or traffic claim.

To verify the changes, rebuild with the corrected example lines and check that reverse_prompts_build returns no warnings.

Cannibalization report: crawl 32 (getlooploop.com)

Source: crawl 32, 300 URLs crawled, 300 with embeddings. The crawl is loaded and idle, so I started no new crawl. The date and any URL limit were not in get_status. The account limit is 1,000,000 URLs, so it did not cut anything. I did not use Search Console.

The 3 changes that matter most

1. Fix the title and H1 template on /skills/ pages (crawl 32 + my judgment).
2. Every page reads "X — {Topic}, an agent skill published by {publisher}", and the first section of each page repeats the same sentence.
3. That template is why these 14 pages score 0.74–0.82 against each other.
4. The pages differ only in skill name and publisher. Adding a line that says what each skill does, and how it differs from its neighbours, is the single change that helps every pair below.
5. To verify, re-crawl and check that cannibal no longer lists these URLs.
6. Same skill, three publishers: the Lark meeting-summary and standup-report pages (6 URLs).
7. Each skill has three listings: larksuite/cli, open.larksuite.com and open.feishu.cn. The nearest-page scores are 0.78 and 0.74 (meeting-summary) and 0.79 and 0.76 (standup-report).
8. Same intent. Pick one canonical listing per skill after a person checks whether the three have the same source. Install counts from the crawl are 809,000 for open.feishu.cn, 466,168 for larksuite/cli and 6,936 for open.larksuite.com.
9. A canonical on the small open.larksuite.com listing removes it from the index. It unblocks the other two from competing with it. It does not guarantee any ranking.
10. Same skill, two repos: firecrawl-crawl.
11. firecrawl/cli has 80,778 installs and firecrawl/skills has 5,700. They score 0.79–0.80 against each other, with the same intent.
12. Keep both, because they are separate repos. Give each a different angle: which repo it comes from and how it is installed. If a person confirms the two are identical copies, use a canonical to firecrawl/cli instead.

Pairs and recommendations

Scores are cosine similarity from semantic_search, a search on the H1 of the first page. Each page has only one embedded section, and that section is the title sentence. So "best matching sections" here compares the title boilerplate, not the body text. The intent verdicts are my judgment from skill names and publishers.

The nearest page for each of the six pages in the two Lark skills came from the sibling searches. I did not search the four open.* pages separately.

What I did not cover

• Search Console: no Search Console tool is available here. I could not check which pairs share clicks on a query, so I have not marked any pair.
• Body content: the pages have one embedded section each, so I could not compare body text. Pages with the same name but different publishers, and the hub-versus-task pairs, need a person to read them before the canonical or merge steps.
• Searches run: 10 of 14. The 4 open.* pages were covered through their sibling pages, as noted above.
• Fix list: the cannibal fix has 14 URLs and all 14 were returned, so nothing was cut. I did not call explain_fix. I did not create Jira tasks.

Appendix: the 14 URLs and their nearest page

• /skills/agricidaniel/claude-seo/seo → seo-technical (0.765)
• /skills/agricidaniel/claude-seo/seo-audit → seo-technical (0.783)
• /skills/agricidaniel/claude-seo/seo-technical → seo (0.764)
• /skills/firecrawl/cli/firecrawl-crawl → firecrawl/skills/firecrawl-crawl (0.787)
• /skills/firecrawl/skills/firecrawl-crawl → firecrawl/cli/firecrawl-crawl (0.798)
• /skills/googleworkspace/cli/gws-workflow → gws-workflow-email-to-task (0.754). That page is not in the cannibal list, but file-announce (0.744) and weekly-digest (0.742) are the next nearest.
• /skills/googleworkspace/cli/gws-workflow-file-announce → gws-workflow (0.746)
• /skills/googleworkspace/cli/gws-workflow-weekly-digest → gws-workflow (0.743)
• /skills/larksuite/cli/lark-workflow-meeting-summary → open.larksuite.com (0.778). I read this one from the open.larksuite.com search, where it scored 0.7784 against its own H1.
• /skills/larksuite/cli/lark-workflow-standup-report → open.larksuite.com (0.793). I read this one from the open.larksuite.com standup-report search, where it scored 0.793.
• /skills/open.feishu.cn/lark-workflow-meeting-summary, .../lark-workflow-standup-report, /skills/open.larksuite.com/lark-workflow-meeting-summary and .../lark-workflow-standup-report → the same-name page on larksuite/cli, from the sibling searches.

Internal linking plan: no weak pages found, so I stopped before the edit lists

I did not build any edit lists. By your definition, this crawl has no weak pages.

Source: GLLmolfar crawl 32 of https://www.getlooploop.com/. It is the open crawl, and the status call shows no crawl running. I did not record its date. The status and overview results don't show one.

Most important findings

1. The three weak-page lists are empty (crawl 32). noInlinks, links.oneInlink and deep each returned 0 URLs. The deepest page is at depth 2. No page has 0 or 1 inlinks. Steps 3 to 7 start from these lists, so there are no pages to assign an action or source pages to.
2. The crawl stopped at its 300-URL limit. It crawled 300 URLs with a limit of 300, and none were queued. If the site has more pages, inlink counts and depth may be incomplete, and some weak pages could be outside the crawl. This is my judgment. A crawl with a higher limit would settle it.
3. The 239 link opportunities are mostly near-duplicate pairs, not weak-page fixes. Several of the highest-similarity pairs are the same skill published under two paths:
4. firecrawl/cli/firecrawl-crawl and firecrawl/skills/firecrawl-crawl (similarity 0.971).
5. larksuite/cli/lark-workflow-standup-report and open.larksuite.com/lark-workflow-standup-report (0.957).
6. larksuite/cli/lark-workflow-meeting-summary and open.larksuite.com/lark-workflow-meeting-summary (0.956).

Linking such pairs to each other does not strengthen anything. My judgment is that they are merge or canonical candidates. The cannibal fix in this crawl flags 14 pages as nearly identical to another page. I did not check which pages those are.

What I did not do

• Rank low-inlink pages. Crawl 32 has about 130 pages with exactly 2 inlinks, mostly under /skills/…. About 25 more have 3 to 7. None of them fall under your three keys.
• Run URL audits. No page qualified as a link target, so I audited no source pages and wrote no anchors.
• Read the topic clusters. The overview lists 8 topics. I did not use them to choose sources.
• Report tool failures. None occurred. The links list was complete: 239 of 239, and the saved file has all 1,440 lines. I read only its first 60 lines (about 10 opportunities). The rest is unread, and the 239 total comes from the tool result.

Decision for you

Pick one and I'll continue:

• A. Treat pages with 2 or fewer inlinks as weak, about 130 URLs. I'd then match them to the link opportunities, audit up to 3 source pages for each, and write the edit lists. This would be a lot of URL audits. Most of these pages are in the "Workflows published" and "Technical seo" topics.
• B. Re-crawl with a higher limit, then repeat your original steps.
• C. Handle only the duplicate pairs above, as merge or canonical decisions.

After any change, run the same fix key again. A change is verified when a new crawl no longer lists the URL under that key.