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The GEO playbook Moonrank's GEO Agent uses to get your brand cited in AI answers across ChatGPT, Perplexity, Gemini, and Google AI Overviews.
Download the methodology, see how the agent finds citation gaps, or run it live inside the GEO Agent.
--- name: ai-overviews description: Optimize a page to get cited in AI answers — Google AI Overviews, ChatGPT, Perplexity, and Gemini — not just ranked in blue links. owner: Moonrank GEO Agent --- # AI Overviews Generative Engine Optimization (GEO): make your brand the source AI assistants cite when they answer questions in your space, not just a link on page one. ## When to use - Buyers increasingly ask ChatGPT, Perplexity, or Google AI Overviews instead of searching. - You rank on Google but never get quoted in the AI answer above the results. - You want to track and grow how often your brand is mentioned in AI answers. ## Inputs - **Required:** your website URL and the topics or queries you want to win. - **Optional:** competitor domains to benchmark AI-answer share of voice. ## Method 1. **Prompt set:** build the real questions buyers ask AI in your category. 2. **Baseline:** query ChatGPT, Perplexity, Gemini, and Google AI Overviews; record who gets cited and the sentiment. 3. **Gap analysis:** find questions where competitors are cited and you aren't. 4. **Content shape:** make pages extractable — direct answers, clear claims, definitions, stats, and structured data AI can quote. 5. **Authority:** earn the mentions and citations models weight (comparisons, listicles, third-party sources). 6. **Track:** re-run the prompt set on a schedule; measure mention rate, position, and sentiment over time. ## Output format A GEO backlog. For each opportunity: - **Impact**: high | medium | low - **Engine**: AI Overviews | ChatGPT | Perplexity | Gemini - **Query**: the buyer question at stake - **Action**: the specific change to earn the citation ## Prioritization rules - Win high-intent, high-volume questions first. - Answer the question directly and early; models extract the clearest passage. - One page per question. Splitting an answer across three posts wins none of them. - Re-measure across engines; AI answers shift faster than blue-link rankings.
The AI Overviews skill is Moonrank's Generative Engine Optimization (GEO) methodology: the steps the GEO Agent follows to get your brand mentioned and cited when AI assistants answer questions in your category, not just ranked in traditional search.
It's written as a SKILL.md, a plain-language instruction format that people and AI agents can both follow. Read it to understand how AI-answer visibility is measured and grown, adapt it for your own team, or let the GEO Agent run it against the engines your buyers actually use.
Downloading the playbook is free with a Moonrank account. Running it continuously — tracking your citations across engines and shipping the content that earns them — is what the GEO Agent does every day.
“When people ask ChatGPT for the best product analytics tool, we're never mentioned. How do we fix that?”
Across 40 buyer questions, competitors are cited in 12 where you aren't — mostly "best X for Y" comparisons and "how to" queries. You have no comparison pages and your definitions are buried below the fold, so models can't extract a clean answer. Priority: publish three comparison pages, add direct answer blocks to your top guides, then re-measure citation share weekly.
Paste your domain and the questions or topics you want to win in AI answers.
The GEO Agent queries ChatGPT, Perplexity, Gemini, and Google AI Overviews and records who gets cited.
Questions where competitors are cited and you aren't become a prioritized GEO backlog.
The agent shapes pages so AI can quote them, then re-measures your mention rate and sentiment over time.
Tracks ChatGPT, Perplexity, Gemini, and Google AI Overviews, not just one assistant.
Builds the real questions buyers ask AI in your category — the queries worth winning.
Measures how often you're mentioned, in what position, and with what sentiment.
Finds the questions competitors are cited on where your brand is missing.
Direct answers, definitions, stats, and structured data models can quote cleanly.
Tracks your AI-answer share of voice against competitors over time.