AI Knowledge Center™ · GEO · AEO · Entity SEO

The intelligence layer for AI search visibility.

Twelve pillar explainers and a working glossary for the brands engineering visibility inside ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. Built by the team that ships GEO, AEO, and entity SEO into client pipelines every week.

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PILLAR LIBRARY · 12 EXPLAINERS

Every concept that drives AI visibility, in plain English.

FOUNDATIONS

What is Generative Engine Optimization (GEO)?

GEO is the discipline of engineering brand visibility inside generative AI answers — ChatGPT, Perplexity, Gemini, Claude, and Google's AI Overviews. Unlike classic SEO, GEO targets the model's retrieval + reasoning layer, not the SERP. Wins compound through entity authority, citation density, and structured data — not keyword stuffing.

COMPARISON

AEO vs SEO vs GEO — what's the difference?

SEO ranks pages. AEO (Answer Engine Optimization) wins featured snippets and direct-answer boxes. GEO earns citations inside generative answers. The three stack: technical SEO makes you crawlable, AEO makes you answer-shaped, GEO makes you citable. We engineer all three on the same content surface.

SCHEMA

Schema.org for AI search — Organization, Service, FAQ, HowTo

Structured data is the most direct line into an LLM's knowledge graph. Organization + sameAs anchors your entity. Service + areaServed defines what you do and where. FAQPage and HowTo expose Q&A pairs the model can quote verbatim. Article + author + publisher ties content to a credible identity.

ENTITY

Entity SEO — becoming a known thing to the model

Models reason about entities, not strings. Becoming an entity means consistent NAP, Wikidata + Wikipedia presence where warranted, sameAs across authoritative profiles, and topical density across your owned content. Strong entities get cited even when the exact phrase isn't in the prompt.

CITATIONS

Citation engineering — earning quotes from ChatGPT & Perplexity

Generative engines quote sources that are crawlable, original, citable, and verifiable. We engineer pages with quotable definitions, primary data, named author authority, last-updated transparency, and outbound citations to credible sources — so the model picks you as the source worth naming.

STRATEGY

Prompt-intent mapping — the new keyword research

Buyers no longer type 3 keywords — they type 30-word prompts. Prompt-intent mapping converts customer prompts into content briefs, schema requirements, and citation targets. The output: a page architecture aligned to the questions buyers actually ask AI before they ask you.

GOOGLE

Google AI Overviews & AI Mode — the new top of SERP

AI Overviews now occupy the top of high-intent SERPs across health, local, B2B, and commerce. Surfacing inside them requires passage-level relevance, structured Q&A, and entity-grade authority. Brands engineered for AI Overviews earn placement above the blue links — and the click-through that comes with it.

RAG

RAG for brands — owning your retrievable knowledge

Retrieval-Augmented Generation lets AI answer with your specific content rather than guess. Brands that ship a public RAG-friendly knowledge base — clean URLs, semantic chunks, llms.txt, machine-readable data — own how AI answers about them, not the other way around.

TRUST

E-E-A-T for AI — author, publisher, and provenance

Experience, Expertise, Authoritativeness, Trust now matter to both Google and LLMs. Real authors with sameAs links, publisher schema, last-reviewed dates, and credential-backed bylines are the difference between content the model trusts and content it skips.

MEASUREMENT

Measuring AI visibility — citations, share of voice, AI traffic

You can't optimize what you don't measure. AI visibility scoring tracks branded mentions across ChatGPT, Perplexity, Gemini, and Claude; competitor share of voice; referrer traffic from AI surfaces; and prompt-coverage on your priority topic clusters. We run this monthly.

LOCAL

GEO for local businesses — when buyers ask AI 'near me'

AI assistants now answer 'best plastic surgeon in Miami' or 'top auto transporter' directly. Winning those answers requires entity-grade GBP, review velocity, schema-rich location pages, and citation hygiene across the directories LLMs ingest. Local GEO is the new map pack.

COMMERCE

GEO for e-commerce — getting your products quoted

Product schema, review schema, comparison content, and ingredient/spec-level transparency get your SKUs cited when buyers ask AI for recommendations. We engineer PDPs that are both human-shoppable and machine-quotable.

GLOSSARY · 12 TERMS

The AI search vocabulary.

GEO: Generative Engine Optimization — visibility inside generative AI answers.
AEO: Answer Engine Optimization — earning direct answers and featured snippets.
LLM: Large Language Model — the model behind ChatGPT, Gemini, Claude, etc.
RAG: Retrieval-Augmented Generation — an LLM grounded in retrieved source content.
Entity: A distinct, machine-recognized thing (brand, person, place, product).
Citation: A model-generated reference to a source URL inside an AI answer.
Schema graph: A connected set of Schema.org entities expressing your business.
E-E-A-T: Experience, Expertise, Authoritativeness, Trust — quality signals.
AI Overviews: Google's AI-generated answer module at the top of SERPs.
Share of voice: Your brand's % of mentions vs competitors in AI answers.
llms.txt: A proposed standard file describing your site for AI crawlers.
Prompt-intent: The underlying goal behind a long-form AI prompt.