Fanout Queries Extractor – ChatGPT & Claude Citations

Fanout Queries Extractor reveals the hidden search queries and cited URLs behind every ChatGPT and Claude answer — the raw data you need for Generative Engine Optimization (GEO), AI SEO, and AI visibility tracking. See exactly which fan-out queries the AI generated from a prompt, which sources it retrieved, which URLs it actually cited, and how your domain stacks up. 100% local: no account, no server, no data ever leaves your browser. ━━━━━━━━━━━━━━━━━━━━━━ WHAT IS QUERY FAN-OUT? ━━━━━━━━━━━━━━━━━━━━━━ Query fan-out is the technique AI search systems use to answer complex questions. Instead of running one search, the AI breaks your prompt into multiple sub-queries — related topics, implicit questions, comparisons, recency checks, and reformulations — then searches them all in parallel and synthesizes the results into a single answer. Google AI Mode does this with Gemini. ChatGPT Search does it every time it browses the web. Claude does it when web search is enabled. Research shows a typical prompt fans out into 9–11 sub-queries, and deep research runs can trigger hundreds of searches from a single question. Here's the problem: those fan-out queries are invisible. They never show up in Google Search Console, keyword tools report them as zero-volume, and no analytics platform captures them. Yet they decide which pages get retrieved, which brands get cited, and who wins AI visibility. This extension makes them visible. ━━━━━━━━━━━━━━━━━━━━━━ WHAT THE EXTENSION EXTRACTS ━━━━━━━━━━━━━━━━━━━━━━ Open any ChatGPT or Claude conversation, click Capture Full JSON, and get a structured breakdown of the entire conversation: ✔ FAN-OUT QUERIES — every sub-query the AI generated from each prompt, deduplicated and grouped per question. This is the actual query set the model searched, not a guess. ✔ CITED URLS — the sources the AI surfaced in its answer: inline citations, footnotes, and the canonical sources list. These are the highest-value GEO signal, because a citation means the model actually used the page. ✔ RETRIEVED URLS — the full candidate pool the search step returned but the model did NOT cite. Comparing retrieved vs. cited shows you pages the AI saw and rejected — the exact gap to close. ✔ SEARCH INTENT CLASSIFICATION — ChatGPT's internal probability scores for whether a prompt needs simple search, complex search, or no search at all, plus whether search actually triggered. ✔ SOURCE METADATA — page titles, snippets, domains, attribution, and publication dates for every URL. ━━━━━━━━━━━━━━━━━━━━━━ BUILT-IN GEO ANALYTICS ━━━━━━━━━━━━━━━━━━━━━━ Everything is computed locally, instantly, on your device: ★ CITATION RATE — of all sources retrieved, how many were actually cited in the answer. The core citation-vs-retrieval metric for AI search optimization. ★ TOP CITED DOMAINS LEADERBOARD — which domains dominate the AI's citations across your captured conversations, with counts and percentage share. ★ SOURCE TYPE DISTRIBUTION — how citations split across Reddit, forums, YouTube and video, social media, review sites (G2, Capterra, Product Hunt), news outlets, reference sites (Wikipedia), and academic sources. Instantly see whether the AI prefers community content or editorial authority for your topic. ★ CONTENT ANGLE ANALYSIS — each cited page is classified as First-hand / Community, Third-party Review, Editorial / Authority, Multimodal / Video, or Brand — so content writers know exactly which angle the AI rewarded for a given query. ★ CONTENT FRESHNESS — publication-date breakdown (last 24 hours, last week, last month, older) plus average content age, so you can see how much recency matters in your niche. ★ TRACK YOUR DOMAIN — enter your own domain and get your citation count, total mentions, citation share, and mention share across every conversation you've captured. Know immediately if the model saw your site but didn't surface it. ★ SEARCH INTENT DASHBOARD — high / medium / no-search probability distribution and search trigger rate across all captured prompts. ━━━━━━━━━━━━━━━━━━━━━━ EXPORT EVERYTHING ━━━━━━━━━━━━━━━━━━━━━━ ▸ COPY — a tab-separated table straight to your clipboard, ready to paste into Google Sheets or Excel. ▸ CSV — a 23-column export including conversation, question, fan-out queries, search intent, citation status, source type, content angle, ref type, position, snippet status, content age, freshness bucket, domain, attribution, title, URL, publish date, and snippet. ▸ JSON — the full structured dataset for your own pipelines, dashboards, or LLM analysis. ━━━━━━━━━━━━━━━━━━━━━━ WHO IS THIS FOR? ━━━━━━━━━━━━━━━━━━━━━━ ● SEO PROFESSIONALS moving from classic rankings to AI search optimization. Ranking #1 for a single keyword isn't enough when the AI fans out into a dozen sub-queries — you need to know what those sub-queries are. ● GEO / AEO SPECIALISTS doing generative engine optimization or answer engine optimization who need real fan-out data instead of synthetic keyword guesses. ● CONTENT MARKETERS planning topic clusters. The fan-out queries for a prompt are a ready-made cluster map: every sub-query is a subtopic your pillar page should cover. ● BRAND & PR TEAMS tracking AI visibility, brand mentions, and citation share across ChatGPT and Claude answers in their category. ● AGENCIES running AI visibility audits for clients — capture conversations, export the CSV, and deliver citation-share reports without any subscription. ● PUBLISHERS & AFFILIATE SITES checking whether the AI cites them, cites competitors, or leans on Reddit threads and review aggregators instead. ● RESEARCHERS & DATA ANALYSTS studying how large language models select, retrieve, and cite web sources. ━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE IT (30 SECONDS) ━━━━━━━━━━━━━━━━━━━━━━ 1. Open a ChatGPT (chatgpt.com) or Claude (claude.ai) conversation that used web search. 2. Click the extension icon, then click Capture Full JSON. 3. The tab reloads once so the extension can capture the conv…