Google AI Overview Scraper — AEO/GEO Citation Tracker & Brand Visibility Monitor

Extract Google's AI Overview (AIO) block, every cited source with citation position, structured answer content, and inline images — purpose-built for AEO tracking, GEO analytics, brand citation monitoring, and share-of-voice analysis across 53 countries and 26 languages.

The AI-generated answer box that Google surfaces above the regular search results is the new front page of the internet. If your brand is not cited in it, you lose the click — even if you rank #1 in the organic results. This tool gives marketers, SEO teams, and brand-protection analysts the data they need to track AI citations, measure brand visibility in AI answers, and benchmark share of voice across Google AI Overview, locales, and competitors.

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📊 What It Does

This scraper fetches Google's AI-generated answer block for any search query and returns the full structured payload: the AI-generated body text, every cited source (title, URL, domain, citation position, snippet), structured answer blocks (paragraph / heading / list / table / citation card), inline images, the standard organic results, and — when you provide your brand domain — a brand-match report with citation rank and total mentions. Every query becomes one result record ready for AEO/GEO dashboards, marketing analytics, or competitor intelligence pipelines.

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👥 Who It's For

• Marketing teams and SEO agencies — measure how your brand appears inside Google's AI-generated answers, not just in traditional search rankings.
• Brand managers and PR teams — monitor brand visibility and citation share across markets, languages, and competitor sets.
• Content strategists — find the queries where your content is cited by Google AI, where competitors win the citation, and where the citation gap is widest.
• Competitor intelligence analysts — track competitor AI citations across locales, build share-of-voice heatmaps, and surface citation-gap opportunities.
• Marketing analytics and BI teams — pipe AI citation data into dashboards (Looker, Tableau, Metabase) for board-level reporting on AI search visibility.
• Brand-protection and reputation teams — detect when your brand appears in AI answers for sensitive, regulatory, or crisis-related queries.

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📊 Data You Get

Every query produces one result record with the following.

Field	What it is
Query, country, language	The original search, plus the market and language used.
AI Overview present	Whether Google returned an AI Overview block.
AI Overview text	Plain-text version of the AI-generated answer.
AI Overview HTML	Raw HTML of the AIO block for full structural fidelity.
Cited sources	Every source Google cites — title, decoded URL, domain, snippet, and 1-based citation position.
Structured answer blocks	The AIO content classified as paragraph / heading / list / table / citation card.
Inline images	Every image inside the AIO block with source URL and alt text.
Source count and unique domains	Total cited sources and distinct domains after collapsing www. prefixes.
Brand match	AEO/GEO brand-visibility report — was your brand cited, at what position, on which URL, and how many times.
Organic results	Standard search results outside the AIO block (when enabled).
Device, status, timestamp, search URL	Run metadata for reproducibility and error tracking.

A run-level summary is also produced with aggregate counts (total queries, AIO hits, total sources extracted, errors, finished-at timestamp).

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💡 Use Cases

🔍 AEO / GEO brand tracking

Provide your brand domain and every result record tells you whether your brand was cited in the AI answer, at what position, on which URL, and how many times. Aggregate across hundreds of queries to compute citation share, average citation rank, top-cited URL, and total mentions — the standard AEO/GEO KPIs that replace traditional rank tracking for the AI era.

🌐 Multilingual brand monitoring

Google's AI Overview is not locale-agnostic — the answer, the sources, and the citation domains all change by country and language. Run the same query list in different market/language combinations and compare the cited sources and brand-match blocks to see where your brand is strong, weak, and invisible in AI-generated answers.

📈 Share-of-voice analysis

Run your brand and a competitor brand (two passes) and compare citation counts per query. Build a share-of-voice heatmap by query × market × language to spot where competitors are cited and you are not — the new "keyword gap" for AI search.

🛡️ Brand protection

Track brand citations for sensitive queries (regulatory topics, crisis moments, YMYL categories). Set your brand domain and a curated query list — every record tells you whether your official source is in the citation set, or whether an aggregator, critic, or competitor has taken the citation slot.

🔬 SEO research

Run a query set without a brand filter to harvest the raw cited sources. Domain-frequency analysis on the output reveals which sources Google AI Overview consistently trusts for which topics — actionable input for content strategy, link building, and digital PR.

📰 AI answer dataset and RAG pipeline

Stream the AI Overview text plus cited sources into downstream pipelines for question-answering dataset construction, RAG knowledge bases, or LLM evaluation corpora.

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🚀 Quick Start

1. Open the tool on the Apify platform and click Try for free, or add it to your AI assistant's MCP server.
2. Configure your inputs — paste your query list (1–500 queries), optionally provide your brand domain for AEO/GEO tracking, choose the country and language, and toggle the organic-results option if you want the standard search results too.
3. Run and download — the tool pushes one result record per query. Open the Cited Sources view for citation analysis, the Overview view for fast triage, or the Organic Results view for standard search rows.

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⚙️ Input Parameters

Parameter	Required	Description
Queries	yes	One or more search queries (1–500). Each produces one result record.
Country	no	The market to query (53 countries — US, UK, Germany, France, Japan, Brazil, Australia, India, etc.). Default: United States.
Language	no	The language to query (26 languages — English, German, Spanish, French, Japanese, etc.). Default: English.
Brand domain	no	Your brand domain for AEO/GEO brand tracking. Triggers the brand-match report on every record. Example: apify.com.
Device	no	Desktop or mobile Chrome emulation. Default: desktop.
Include organic results	no	Also extract the standard search results outside the AIO block. Off by default.
Max organic results per query	no	Cap for organic results when the option above is enabled (1–100, default 10).

Defaults: United States, English, desktop. Run with these defaults for the most reliable AIO results — Google's AI Overview is English-dominant in most regions.

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📝 Example

Input — AEO brand tracking for Nike in the US market

Queries:        best running shoes 2026, how to choose trail running shoes, marathon training plan for beginners
Country:        United States
Language:       English
Brand domain:   nike.com

Output — one record per query

For best running shoes 2026:

• AI Overview present: yes
• AI Overview text: "The best running shoes of 2026 combine responsive foam, lightweight mesh uppers, and reliable outsole grip. Top picks include shoes engineered for daily training, tempo runs, and long-distance racing..."
• Cited sources: 6, across 6 unique domains (runnersworld.com, nike.com, ...)
• Brand match (nike.com): ✓ cited at position 2 — https://www.nike.com/a/what-is-pe
• Structured blocks: paragraph + 6 citation cards
• Device: desktop
• Search URL: http://www.google.com/search?q=best+running+shoes+2026&hl=en&gl=us
• Fetched at: 2026-06-24 17:05 UTC

Aggregate the brand-match block across all queries to compute Nike's citation share, average citation rank, top-cited URL, and citation gap versus competitors.