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Generative Engine Optimization

Show up inside the AI answer — not just on Google.

40% of B2B research now happens inside ChatGPT, Perplexity, and Gemini. GEO is how you make sure your brand is in the answer, the shortlist, and the comparison.

What is GEO

Generative Engine Optimization, defined

GEO is the discipline of optimizing content, schema, and external entity signals so generative AI systems — ChatGPT, Perplexity, Gemini, Claude, and Bing Copilot — include your brand inside the answers they generate for buyer-relevant prompts.

SEO earns a click. AEO earns a citation. GEO earns the mention that decides whether you make the shortlist.

The system

Six pillars of the Amplify GEO program

Answer-shaped content

Question H2s, 40–80 word answers, comparison tables — the patterns generative engines extract verbatim.

Entity graph

Wikipedia draft, Crunchbase, G2, Capterra, Product Hunt — the sources LLMs use to train identity.

Co-citation building

Mentions inside listicles, Reddit threads, and high-authority B2B pubs that ChatGPT already trusts.

Schema & JSON-LD

FAQPage, Article, Organization, Service — valid markup retrieval pipelines parse in milliseconds.

Monthly prompt panel

Fixed 12-prompt benchmark across ChatGPT, Perplexity, Gemini, and Claude — measured monthly, reported in plain English.

LLM-referrer attribution

GA4 segments that isolate ChatGPT, Perplexity, and Gemini referrals — so you know GEO is paying back.

What you get

A measurable GEO program, not a content calendar

Every Amplify GEO engagement ships with a baseline prompt panel, an entity graph audit, a 90-day content + schema roadmap, and a monthly citation report so you can see whether ChatGPT and Perplexity are actually naming you.

Baseline 12-prompt citation panel
Entity graph: Wikipedia, Crunchbase, G2, Product Hunt
Answer-shaped category pages with valid JSON-LD
Listicle outreach for co-citations
Monthly prompt panel + LLM-referrer report
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FAQ

Generative Engine Optimization questions