# Free tools

> The five free GetLoopLoop tools, inside the app. Each one is the tool alone from getlooploop.com — its field, its button and its reading — with a line above it about the app's allowance and a button to open the full page in the browser.

Describes GLLmolfar 0.9.22, checked 2026-11-01. Canonical page: https://www.getlooploop.com/gllmolfar/docs/free-tools

- **Where:** Free tools in the rail
- **Mode:** Simple and Pro
- **Built from:** The tools on getlooploop.com, not the open crawl
- **Changes:** Each time a tool is run

## The section

**Free tools** on the strip opens a panel with the five tools. Pressing one loads it in the view, with the app's wait bar (**Opening the tool**) until the page is in. The tool speaks the interface language when the site has it — English, Ukrainian or Spanish — and English otherwise.

| Tool | What it reads |
| --- | --- |
| Vectorscope | Paste a public URL to see its readable passages, semantic groups and the content that falls outside the retrieval cap. |
| Voicescope | Start with one keyword and explore the questions a person may ask an AI assistant across real-life contexts. |
| Brandscope | Ask three AI assistants the buyer questions around a brand, then compare their answers with the brand's own page. |
| Reviewscope | Ask three AI assistants what reviews say about a brand — first without naming a platform, then naming each one — and see which ratings they state without a source. |
| PatternScope | Paste a page to see the stock phrases, repeated sentence shapes and unchecked claims a reader reacts to. Not an AI detector. |

## The line above each tool

| Part | What it says or does |
| --- | --- |
| Name | The tool open now. |
| Allowance note | Runs made in the app are counted on GetLoopLoop's server, on a counter of the app's own, apart from the website's. Signed out: **Without signing in the app has the website's allowance on a counter of its own; signing in counts by your account and its plan.** Signed in: **Runs here count against your account's allowance in the app, apart from the website's; the tool shows what is left.** |
| Sign in with Google | Shown while signed out. After signing in, runs count by the account and its plan. |
| Open in the browser | Opens the tool's full page on getlooploop.com, with its explanations, in the browser. |

> **The pictures.** The lines where a tool states what is left of its allowance are hidden in these pictures. Each tool shows its own while you use it; nothing in the app can raise it.

> **Examples are not readings.** Before a run, Voicescope, Brandscope, Reviewscope and PatternScope show an **Illustrative example**: a fictional brand, sample answers or a sample text, so you can see what a reading looks like. Nothing in it was measured. Your own reading replaces it once you run the tool.

## Vectorscope

![Vectorscope inside GLLmolfar, before a page is read](https://www.getlooploop.com/images/gllmolfar/docs/tools-vectorscope.webp)

Numbered parts of the screenshot:

1. **Head.** **Vectorscope** and the allowance note.
2. **Sign in, browser.** **Sign in with Google** and **Open in the browser**.
3. **The page.** A public URL, and **Read the page**. **Try example** fills in an example address (replaced in this picture).
4. **Result.** How a retriever reads the page, step by step: **1. Fetched**, **2. Extracted**, **3. Chunked**, **4. Embedded**, **5. Grouped**, with passages read, slots used of the passage cap, unique text, and characters past the cap.
5. **Before a reading.** A drawing of one page cut on its headings: the passages inside the cap are read, the ones past it are dropped.

## Voicescope

![Voicescope inside GLLmolfar with its illustrative example](https://www.getlooploop.com/images/gllmolfar/docs/tools-voicescope.webp)

Numbered parts of the screenshot:

1. **Keyword.** **a keyword you already rank for**, and **Expand the key**. **Try:** offers a few keywords to start from.
2. **Illustrative example.** **Generated question hypotheses, not observed searches or demand.** Filters by context label and keyword, and **Map** or **Questions**.
3. **Map.** The keyword in the middle, the jobs a person is doing around it, and the questions each job asks.
4. **Selected job.** The questions of the job picked on the map, with the contexts each one crosses.
5. **Why this question?.** The job, the contexts crossed, how the question stands to the keyword, and its place in the job.

## Brandscope

![Brandscope inside GLLmolfar with its illustrative example](https://www.getlooploop.com/images/gllmolfar/docs/tools-brandscope.webp)

Numbered parts of the screenshot:

1. **Brand.** **Brand or website**, **Add a category (optional)**, **Run the scan**, and **Show an example**.
2. **Counts.** **Your page**, **ChatGPT**, **Claude**, **Gemini** and **Knows you**: dashes until a scan has run.
3. **Illustrative example.** **Fictional brand, sample answers — nothing here was measured. Run a scan to read your own.**
4. **Questions.** **What is it?**, **Pricing**, **Integrations**, **Weaknesses**: the buyer question whose answers are shown, beside what the brand's own page says.
5. **Why this verdict?.** The verdict on one answer, here **Contradicted**, with the evidence from the brand's page and from the assistant's answer side by side.

## Reviewscope

![Reviewscope inside GLLmolfar with its illustrative example](https://www.getlooploop.com/images/gllmolfar/docs/tools-reviewscope.webp)

Numbered parts of the screenshot:

1. **Brand.** **Brand or website**, **Add a category (optional)**, **Run the probe**, and **Show an example**.
2. **Counts.** **Own page**, **ChatGPT**, **Claude**, **Gemini** and **Reading**: dashes until a probe has run.
3. **Illustrative example.** **Fictional brand Acme and sample assistant claims — not a reading.**
4. **Three readings.** **Unprompted**: which platforms they mention. **When asked**: what they claim. **Invented**: ratings for platforms that do not exist. **Show numerical claims only** narrows the claims.
5. **Platform by platform.** Each platform against each assistant: the rating it claims, unchecked, or **Declined to guess**. The platforms' names are replaced in this picture.

## PatternScope

![PatternScope inside GLLmolfar with its illustrative example](https://www.getlooploop.com/images/gllmolfar/docs/tools-patternscope.webp)

Numbered parts of the screenshot:

1. **Your text.** **Paste a page, a post or a draft.** The count of words used sits in the corner of the field.
2. **Illustrative example.** **Sample text, not your reading**, with the number of findings and **Density, not a quality grade.**
3. **Marked text.** Each finding highlighted in the text, in its kind's colour.
4. **Kinds.** **All findings**, **Stock phrasing**, **Uniform openings** and **Unchecked claims**, each with its count; **Highlight** turns the marks off and on.
5. **Why marked?.** One finding explained, with its rule, **Dismiss finding** and **Next finding**.

## States and messages

- **Loading** — the app says: "Opening the tool" The wait bar, until the tool's page is in.
- **Signed out** — the app says: "Without signing in the app has the website's allowance on a counter of its own; signing in counts by your account and its plan." The app's own counter, apart from the website's. **Sign in with Google** sits beside it.
- **Signed in** — the app says: "Runs here count against your account's allowance in the app, apart from the website's; the tool shows what is left." Runs count by the account and its plan.

## Related pages

- [Overview](https://www.getlooploop.com/gllmolfar/docs/overview.md): The Overview tab after a crawl: the health score, six counters, what to fix first, response codes, indexability, site depth, topics and earlier crawls.
- [AI](https://www.getlooploop.com/gllmolfar/docs/ai.md): The AI screen: an AI readiness score, which AI bots may get in and what they get, what blocks quoting, trust signals, llms.txt, Markdown for agents.