What is GEO (Generative Engine Optimization)?

GEO — Generative Engine Optimization — is the discipline of content production and technical structuring aimed at visibility in the AI answer layer. It's not the same as SEO. SEO optimises to rank in Google's 10 blue links; GEO optimises to be cited as a source in answers produced by ChatGPT, Claude, Perplexity, Gemini, and similar answer engines.

Origin of the term

The GEO term was first used by a group of Princeton researchers in 2023-2024 work. It spread fast in academia, then commercial SEO tools (Surfer, Semrush, Ahrefs) adopted it. By 2026, "GEO" is both an academic and commercial category.

Some people say "AI SEO" or "AEO (Answer Engine Optimization)". In practice the three describe the same thing.

GEO vs SEO

• Target: SEO = rank in blue links. GEO = be cited inside the answer.
• Metric: SEO = organic rank + CTR + organic traffic. GEO = AI Citation Share (cited probes / total probes).
• Signal weight: SEO = backlinks + on-page + technical. GEO = structured data + entity reconciliation + content provenance + author authority.
• Measurement: SEO = Google Search Console + rank tracker. GEO = direct probe queries to the AI engine + citation parser (AIDO probe).
• Content tone: SEO = keyword-rich + scan-friendly. GEO = claim-by-claim citable + structured (Q&A, tables, lists).
• Update frequency: SEO = Google index update (weeks). GEO = AI engine training/retrieval (daily + retrieval refresh).

Practitioner GEO checklist

1. Schema.org Physician/Attorney/Person markup — on the profile page. AI engines read this for entity reconciliation.
2. MedicalWebPage / Article schema — on every article. about + author + datePublished + mainEntityOfPage are required.
3. Author authority — "by Dr. X" visible on every page. Author schema with hasCredential + memberOf chain.
4. Claim-by-claim sourcing — numerical claims linked to registry/journal/specific case series. AI engines parse the paragraph and cite per-claim; source-less paragraphs aren't cited.
5. Q&A format — sub-headings as questions, followed by 1-2 direct-answer sentences. AI engines find "ready snippets" in this structure.
6. llms.txt + llms-full.txt — site-level condensed AI-crawler index.
7. Entity disambiguation — "Dr. John Smith (cardiologist)" vs "John Smith (footballer)" resolved with sameAs chains.

Did SEO die?

No. SEO + GEO are parallel disciplines. A large patient cohort still starts at Google; SEO cannot be abandoned. But a new cohort (especially 25-40 year-olds) starts at ChatGPT/Perplexity; GEO cannot be abandoned either.

The right framework: SEO + GEO = AI-era discovery. Sacrificing one for the other is wrong.

The single next thing for a practitioner

Run an AI Citation Share snapshot for your own domain. Skip the interpretation, see the data. /probe is free, 60 seconds, 5 queries × 4 engines.

If the result is low (0%-10%) it's the right time to invest in GEO. If it's already high (30%+), keep measuring and keep publishing.