Generative Engine Optimization (GEO) — get cited by ChatGPT, Perplexity & Google AI Overviews.
Generative Engine Optimization
Generative Engine Optimization (GEO) — get cited by ChatGPT, Perplexity & Google AI Overviews.
Buyers now ask AI assistants before they ask Google. GEO is the work of becoming the source those answers cite — through entity authority, structured data, and citation-worthy content engineered for LLM retrieval.
Definition
What is Generative Engine Optimization?
Generative Engine Optimization (GEO) is the practice of engineering a website, brand entity, and content so that generative AI search engines — ChatGPT, Perplexity, Google AI Overviews, Bing Copilot, Claude — cite it as a source when answering buyer questions. It combines entity SEO, JSON-LD structured data, prompt-fit content, and off-site citation building. Unlike classic SEO, GEO optimizes for the citation inside the AI answer, not the blue-link click.
What's included
Outcomes you walk away with.
- Audit of current AI-search visibility across ChatGPT, Perplexity, Google AI Overviews and Bing Copilot.
- Entity graph alignment across Wikidata, LinkedIn, Crunchbase and authoritative profiles.
- JSON-LD schema layer (Person, Organization, Service, FAQPage, HowTo, Article) implemented on every key page.
- Prompt-fit content rewrites — definitional 40–60-word answers in the first paragraph of every section.
- Citation engineering: digital PR, comparison content and primary data designed to be quoted by LLMs.
- Monthly GEO scorecard tracking citations, brand mentions in AI outputs and referral traffic from chat.openai.com / perplexity.ai.
Process
How the engagement runs.
- 01
GEO audit & baseline
Map current citations across ChatGPT, Perplexity, Google AI Overviews and Bing Copilot for ~30 buyer-intent prompts. Establish entity-graph status and structured-data coverage.
- 02
Entity & schema layer
Align Wikidata, LinkedIn, Crunchbase and About pages. Implement Person, Organization, Service, FAQPage and HowTo JSON-LD across the site.
- 03
Prompt-fit content sprint
Rewrite or publish 8–12 cornerstone pages structured around the actual natural-language questions buyers ask AI assistants — definitional answers first, supporting depth second.
- 04
Citation engineering & monitoring
Targeted digital PR, comparison pages and original data designed for LLM citation. Weekly monitoring of citation share with monthly scorecard reviews.
FAQ
Generative Engine Optimization — frequently asked.
Generative Engine Optimization (GEO) is the discipline of optimizing your brand, website and content so generative AI engines like ChatGPT, Perplexity and Google AI Overviews cite you as a source. It combines entity SEO, structured data, prompt-fit content and digital PR.
SEO earns blue-link rankings on Google. GEO earns the citation inside the AI's answer on ChatGPT, Perplexity and AI Overviews. Both are needed in 2026 — SEO captures click-through traffic, GEO captures the buyers who never click because the AI already answered them.
Initial citation lifts on Perplexity and Bing Copilot typically appear within 4–8 weeks once schema, entity alignment and prompt-fit content are live. ChatGPT and Google AI Overviews lag 8–16 weeks because their training and retrieval refresh cycles are slower.
Yes. I track three signals: (1) citation share — how often your domain is cited for target prompts across ChatGPT, Perplexity, AI Overviews and Bing Copilot, (2) brand mentions inside AI outputs, and (3) referral traffic from chat.openai.com, perplexity.ai and AI Overview source links inside GA4 and BigQuery.
B2B SaaS, fintech, professional services and considered-purchase B2C — any market where buyers research with AI assistants before contacting a vendor. Impulse-purchase DTC sees less direct lift.
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