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Query Fan Out: The Free Chrome Extension That Extracts AI Sub-Queries, Bing AI Data and Google Search Console

GEO Metrics' free Chrome extension now extracts ChatGPT fan out queries, Bing AI Performance grounding queries and Google Search Console data. All local, no data sent outside your browser.

Promotional image of Query Fan-Out by GEO Metrics, a free Chrome extension that allows you to discover hidden searches and queries that use ChatGPT, Gemini, Claude and other AI models to generate answers, showing AI search analytics, intent clusters and visibility opportunities in search engines powered by artificial intelligence.

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TL;DR

The free Chrome extension AI Query Fan-out by GEO Metrics just updated with two major new features. It used to show only the internal sub-queries ChatGPT generates before responding. Now it also extracts Bing AI Performance grounding queries (the real queries Microsoft Copilots uses to generate AI responses) and Google Search Console performance data — queries and pages — exportable to Excel in one click.

Everything runs locally, with no data sent outside your browser. Still 100% free. → Install free on Chrome

When you type a question into ChatGPT what you see is the final answer. What you don't see is everything that happens before: the AI breaks your question into multiple internal sub-queries, processes them in parallel, and synthesizes the response from those results.

That invisible process is called query fan out. And the GEO Metrics extension makes it visible — along with two brand new data sources that just arrived in the latest update.

What Is Query Fan Out and Why It Matters for GEO

Query fan out is the mechanism by which a language model expands an initial query into several derived searches before generating its response. It is not a process visible to the user — it happens in the model's retrieval layer, before a single word of the response is generated.

For example, when someone asks ChatGPT "best tools for AEO/GEO/LLMO", the model doesn't process that question literally. It breaks it down internally into queries like:

  • "herramientas para AEO GEO LLMO análisis SEO y métricas model alignment"

  • "best tools for AEO GEO LLMO tools for Alignment Evaluation Optimization Generative Evaluation Optimization LLM Model Operations"

Those are the real queries the AI uses to retrieve information and build its response. They are, in practice, the keywords of GEO.

Why does this matter for a GEO strategy?

Because the content you want AIs to cite doesn't need to answer the question the user types — it needs to answer the sub-queries the AI generates internally. If you don't know what those sub-queries are, you're optimizing for the wrong question.

What the Extension Does Now: Three Modules in One

With the new update, the extension went from a ChatGPT observability tool to a complete data extraction suite for GEO and SEO teams. Three modules, one extension, everything local.

Module 1: ChatGPT Query Fan Out

The original module. Extracts in real time the internal sub-queries, citations and reasoning steps ChatGPT generates when processing a message.

How it works:

  1. Open ChatGPT in your browser

  2. Send your question as normal

  3. The extension intercepts and displays the sub-queries the model generated internally

  4. You can copy all queries with one click or add them directly to GEO Metrics as monitoring prompts

It is the only module that operates in real time during an active AI conversation.

Module 2: Bing AI Performance Grounding Queries (new)

This is the most advanced module in the update. Bing Webmaster Tools has a section called AI Performance where Microsoft publishes grounding queries — the real queries that Microsoft Copilots and Partners uses to generate its AI responses.

Until now, extracting that data required manually navigating Bing Webmaster Tools and exporting table by table. With this module, the extension extracts all grounding queries directly from the AI Performance section in a single click.

Why it matters: Bing grounding queries are the equivalent of ChatGPT sub-queries, but for the Microsoft Copilot ecosystem — the model with the highest penetration in B2B corporate environments. Knowing which queries Copilot uses to generate its responses is information that defines the GEO strategy for any brand operating in enterprise environments.

The flow:

  1. Open Bing Webmaster Tools and navigate to the AI Performance section

  2. The extension detects the page automatically

  3. Click "Extract grounding queries by page"

  4. The extension extracts all available queries in seconds

Module 3: Google Search Console Data (new)

The third module connects the extension to Google Search Console. From the GSC interface, the extension extracts performance queries and pages and exports them directly to an Excel file with one click — automatically named with the extraction date (e.g. geo-gsc-2026-05-21.xls).

Why it matters for GEO: cross-referencing GSC performance data with ChatGPT fan out sub-queries lets you identify which traditional search queries also have high AI query intent. It is the bridge between SEO and GEO in a single extraction.

The flow:

  1. Open Google Search Console in your browser

  2. The extension detects the page automatically

  3. Click "Download" — the extension generates the Excel instantly

  4. The file includes queries, pages, impressions, clicks, CTR and average position

Practical Use Cases: Updated

1. Complete GEO + SEO keyword map in one session

With all three modules active, in a single working session you can extract:

  • ChatGPT's internal sub-queries for your strategic prompts

  • The real grounding queries Copilot uses in your sector from Bing AI Performance

  • Your page and query performance from Google Search Console

The result is the most complete keyword map available for a GEO strategy — with data from the three main ecosystems (OpenAI, Microsoft, Google) in one place.

2. Express GEO audit for agencies

For an agency onboarding a new client, the workflow is now:

  1. Extract the Bing AI Performance grounding queries for the client's sector

  2. Cross with ChatGPT fan out for the same prompts

  3. Export GSC performance to see which pages already have organic traction

  4. Identify the gaps — which queries the AI uses that the client has no content answering

That audit, previously hours of manual work, now takes minutes.

3. Feed GEO Metrics with maximum-precision prompts

Queries extracted from all three modules are direct candidates to configure as monitoring prompts in GEO Metrics. The "Add to GEO Metrics" button remains active in the ChatGPT module — and Bing and GSC queries can be added manually with the context that they are queries verified by Microsoft's and Google's own systems.

Why Query Fan Out Is the Most Important GEO Concept Nobody Explains

Most GEO guides talk about optimizing content so AIs cite it. Few explain the actual mechanism by which an AI decides what content to retrieve.

The process works like this:

1. The user types a question "What is the best tool to monitor my brand in AI?"

2. The model fans out It breaks the question down into semantically related sub-queries — in its training language and in conceptual variations of the same topic.

3. It retrieves information It searches its knowledge base — and in the case of web-enabled models like Perplexity or ChatGPT Search, also in real time — for the content that best answers each sub-query.

4. It synthesizes the response It combines the retrieved information to generate the final response the user sees.

The critical point: if your content is not aligned with the sub-queries in step 2, it doesn't enter the retrieval in step 3, and therefore never appears in the response in step 4. Query fan out is the entry point to GEO — and the extension now makes it visible across the three most relevant AI ecosystems on the market.

Extension Stats

The Fan-out de consultas a IAs by GEO Metrics extension is available on the Chrome Web Store with:

  • 1,000+ active users

  • 5.0 ★ average rating (16 reviews)

  • Developed by Trend Sights SL — part of the Human Trends group, the company behind GEO Metrics

  • 100% free — no sign-up, no data sent outside your browser

  • Visual tabbed panel with all three modules

  • Excel export in one click

How to Get Started in 2 Minutes

  1. Install the extension from the Chrome Web Store

  2. For ChatGPT fan out: open ChatGPT, type your question and click "Read queries from this conversation"

  3. For Bing grounding queries: open Bing Webmaster Tools → AI Performance and click "Extract grounding queries by page"

  4. For GSC data: open Google Search Console and click "Download" to export the Excel

  5. Cross-reference the three data sets — they are your complete GEO keyword map

  6. Add the most relevant queries to GEO Metrics as monitoring prompts

The first useful insight arrives within the first 5 minutes of use.

Frequently Asked Questions

Is it completely free? Yes. The AI Query Fan-out by GEO Metrics extension is 100% free and requires no account or sign-up. The update with the Bing and GSC modules is also free.

Does it send my data outside the browser? No. All three modules run entirely locally. The extension only reads and coordinates tabs locally — it does not send any data from ChatGPT, Bing Webmaster Tools or Google Search Console to external servers.

Which AI models does the fan out module work with? The query fan out module works with ChatGPT. The Bing AI Performance and Google Search Console modules operate on the web interfaces of Bing Webmaster Tools and GSC respectively — they are data extractions from existing platforms, not conversations with AI models.

What are Bing AI Performance grounding queries? They are the real queries that Microsoft Copilots and Partners uses to generate its AI responses, published by Microsoft in the AI Performance section of Bing Webmaster Tools. They are the equivalent of fan out sub-queries, but for the Copilot ecosystem — and they are data verified by Microsoft, not inferred.

What format is the GSC export? The file is exported as .xls automatically named with the extraction date (e.g. geo-gsc-2026-05-21.xls). It includes queries, pages, impressions, clicks, CTR and average position.

What is the point of adding queries to GEO Metrics? GEO Metrics lets you monitor how your brand ranks for those queries in real time, compared to your competitors, across 9 AI models. The queries extracted with the extension — ChatGPT fan out, Bing grounding queries, GSC queries — are the most precise monitoring prompts available because they come directly from the systems of the models themselves.

Does it work in all browsers? Currently available for Chrome. Compatible with any Chromium-based browser.

Do I need a GEO Metrics account to use the extension? No. The extension works independently. The GEO Metrics integration is optional — it appears as a button for users who already have an account on the platform.

Install the extension for free and extract in minutes the real queries ChatGPT, Copilot and Google use to decide what content to show.

Install AI Query Fan-out by GEO Metrics→ Chrome Web Store

Want to monitor how your brand ranks in those sub-queries across the 9 main AI models? Try GEO Metrics for free → trygeometrics.com

GEO & AEO expert focused on making brands visible inside AI-generated answers. He leads GEO Metrics, measuring how models like ChatGPT and Gemini cite, rank, and describe brands. His work helps companies move from SEO rankings to true visibility in AI-driven search.