GEO Knowledge Base

Resources, research and reference for AI-first marketers.

The State of Search

The landscape is shifting daily. Stay updated with the primary sources that define how AI interprets the web.

Why GEO Matters Now

1

Zero-Click Future: By 2026, Gartner predicts search engine volume will drop by 25% as users switch to chatbots.

2

Trust over Traffic: AI only cites sources it deems "authoritative."

3

The "Black Box": Unlike Google, AI models are opaque. You need specialized schema.

Data Signals

GEO by the Numbers

Headline stats pulled from our State of AI Search 2026 research.

~60%

Zero-Click Rate

Of searches end without a single click to a website.

25%

AI Overviews

Of Google queries now trigger an AI-generated summary.

800M+

Weekly ChatGPT Users

Active users asking questions of a generative engine every week.

3–6 mo

Time to Displace

Typical runway to outrank a competitor inside AI answer surfaces.

Freshness

What's New This Month

A running log of meaningful changes in AI search and on this site.

  • Apr 2026

    Dental GEO playbook published. Full 9-entity setup for dental clinics — read the post.

  • Apr 2026

    Launched a 35-term GEO glossary with DefinedTerm schema — deep-linkable from any post (see glossary).

  • Mar 2026

    Google AI Mode expanded access. Conversational search surface moved beyond early-access in additional markets, including Canada.

  • Feb 2026

    Published the State of AI Search 2026 report — 29 min industry deep-dive on adoption, zero-click, and citation dynamics. Get it here.

  • Jan 2026

    Ultimate Guide to GEO 2026 published — the flagship playbook covering Schema Graphs, AI Answer Share, and AI Mode. Read it.

Curated Tracks

Learning Paths

Sequenced reading to take you from GEO fundamentals to vertical-specific entity architecture.

Path 01 · Beginner

GEO 101: Start Here

The fundamentals of optimizing for AI search, from terminology to the full GEO playbook.

  1. 01Basics for LLM SEO
  2. 02SEO vs. AEO vs. GEO: Decoding the Alphabet
  3. 03The Ultimate Guide to AI SEO & GEO in 2026
Path 02 · Intermediate

Schema & Entity Architecture

Go from basic schema to a full knowledge graph that AI systems actually cite.

  1. 01Schema Markup for AI: JSON-LD Templates
  2. 02The AI Knowledge Graph Playbook
  3. 03Hacking Your Way into ChatGPT's Knowledge Graph
Path 03 · Applied

Local & Industry GEO

How AI picks local businesses, why reviews aren't enough, and a full vertical case study.

  1. 01I Asked ChatGPT About 10 Local Businesses
  2. 02Why Your 5-Star Google Reviews Mean Nothing to ChatGPT
  3. 03GEO for Dental Clinics: The 9-Entity Setup
Path 04 · Frontier

Platforms & Agentic Commerce

Where AI search is headed — agentic browsers, machine-readable catalogs, and the patterns LLMs reward.

  1. 01The State of AI Search 2026
  2. 02Agentic Commerce & Machine-Readable Data
  3. 03The 7+ Keyword Patterns LLMs Prioritize

Reference

GEO & AI Search Glossary

Canonical definitions for the terminology we use across this site and in client work.

Core Concepts

Generative Engine Optimization (GEO)
The practice of optimizing a brand's entities, content, and structured data so LLMs cite it when generating answers in ChatGPT, Gemini, Perplexity, and AI Overviews. Full guide →
Answer Engine Optimization (AEO)
Optimizing content to be chosen as the direct answer on answer-first surfaces — featured snippets, voice assistants, and AI chat interfaces.
Large Language Model (LLM)
A neural network trained on large text corpora that predicts and generates language — the reasoning engine behind ChatGPT, Claude, and Gemini.
Retrieval-Augmented Generation (RAG)
A technique where an LLM pulls live documents from an index at query time and uses them as context, grounding output in verifiable sources.
Zero-Click Search
A search session that ends without a click because the engine already displayed the answer inline — now the dominant behavior on AI surfaces. See the data →
Grounding
The process by which an AI system anchors generated text to retrieved source documents so output can be attributed rather than hallucinated.
Hallucination
An AI-generated statement that sounds authoritative but is factually wrong or fabricated, typically from weak grounding or missing source data.

Ranking & Trust Signals

AI Answer Share
The percentage of AI-generated answers for a query set that cite or recommend a specific brand — the GEO equivalent of share-of-voice. Methodology →
Citation Authority
How frequently and credibly a domain is cited by trusted third-party sources, used by AI systems to weight source trust.
Information Gain
A ranking concept measuring how much new, non-redundant information a page adds relative to what an AI already knows — favours original research.
Brand Confidence
The degree to which an AI is confident that a brand is real, reputable, and unambiguous — a composite of entity clarity, citations, and reviews.
E-E-A-T
Experience, Expertise, Authoritativeness, Trustworthiness — Google's quality framework, now extended as a trust signal across AI surfaces.
Entity Salience
How prominent and disambiguated a named entity is within content — a key factor in whether an LLM links that content to the right brand.

Structured Data & Technical

JSON-LD
JavaScript Object Notation for Linked Data — the recommended format for embedding Schema.org structured data inside HTML pages. Templates →
Schema Markup
Machine-readable metadata drawn from Schema.org that describes entities and relationships on a page so engines and LLMs parse them reliably. Templates →
Schema Graph
An interconnected set of Schema.org entities on a site linked via @id references, producing a miniature knowledge graph unique to the brand.
Knowledge Graph
A structured database of entities and their relationships — used by Google, LLMs, and AI assistants to reason about real-world concepts. Full playbook →
Entity
A uniquely identifiable thing — person, organization, place, product, or concept — that can be referenced across a knowledge graph.
@id Reference
A JSON-LD mechanism for referring to a previously declared entity by its canonical URL, avoiding duplication across schema graphs.
llms.txt
A proposed plain-text file at a site's root that gives LLM crawlers a curated map of the most important content — analogous to robots.txt.
Speakable Markup
Schema.org markup that tags sections of a page suitable for text-to-speech playback by Google Assistant, Siri, and Alexa.

AI Platforms & Surfaces

Google AI Overviews
AI-generated summaries at the top of Google search results for eligible queries, citing a small set of source URLs.
Google AI Mode
A conversational, AI-first Google search experience that replaces ten-blue-links with a generative answer and supporting citations.
Perplexity
An AI answer engine combining web retrieval with LLM synthesis, known for prominent inline source citations.
Claude
Anthropic's family of conversational LLMs used in ChatGPT-style assistants, coding tools, and enterprise AI workflows.
Gemini
Google's multimodal LLM family powering AI Overviews, AI Mode, and the standalone Gemini assistant.
ChatGPT Atlas
OpenAI's agentic browser that lets ChatGPT navigate, read, and transact on websites — introducing new citation and visibility dynamics.
Perplexity Comet
Perplexity's agentic browser, performing research and multi-step tasks while exposing source citations throughout the session.

Local & Entity Signals

NAP
Name, Address, Phone — the core local-business identifiers that must stay consistent across a brand's website, directories, and structured data.
LocalBusiness Schema
The Schema.org type used to describe a physical business location — address, hours, services, and geographic coordinates.
AggregateRating
A Schema.org property for the aggregate score and review count of a business or product — used to render star ratings and trust signals.
Google Business Profile
Google's free local-business listing product (formerly Google My Business) feeding Maps, local pack results, and AI local recommendations.
Place Entity
A Schema.org entity for a physical location, used with LocalBusiness to carry geo, accessibility, and amenity data.
Local Citation
A mention of a business's NAP on a third-party directory or authoritative site, used as a corroborating signal for local and AI search trust.

Latest

Fresh from the Blog

Our three newest posts. Head to the blog for the full archive, search, and category filters.

Practitioner Kit

Tools & Frameworks

The utilities we use — and recommend — for auditing entity graphs and tracking AI citations.

Built by Fade

Our own toolset for auditing, orchestrating, and scaling GEO work.

Validators & Testers

Verify schema, structured data, and crawlability before you ship.

Primary Sources

Official documentation and news feeds from the platforms themselves.

Answers

Frequently Asked Questions

Yes. SEO optimizes for a list of links (Google Page 1). GEO optimizes for a single, synthesized answer (ChatGPT, Gemini, Perplexity). The tactics require much cleaner data structures, higher authority citations, and natural-language alignment. See SEO vs. AEO vs. GEO for the full breakdown.
Technical schema fixes take effect in weeks. Building sufficient authority to displace a competitor in an AI recommendation typically takes 3–6 months of consistent digital PR and content work.
Yes — via multiple paths. ChatGPT Search and Perplexity actively parse JSON-LD when crawling. Claude and Gemini rely on it via Google's Knowledge Graph. Our Schema Markup for AI post walks through the exact JSON-LD templates to use.
Not on their own. AI systems weight first-party structured reviews on your own domain differently from third-party platform reviews — you need both, plus citation authority from authoritative mentions. See Why Your 5-Star Google Reviews Mean Nothing to ChatGPT.
AI Overviews are AI-generated summaries that sit at the top of traditional Google search results for eligible queries. AI Mode replaces the entire results page with a conversational, agentic experience. Different surfaces, different citation mechanics. Full treatment in our Ultimate Guide to GEO in 2026.
You have to test it directly — prompt the engines with the queries your customers actually ask, then log whether your brand appears, what the model says about it, and which sources it cites. We covered this in I Asked ChatGPT About 10 Local Businesses. A free AI Visibility Audit will do this for you.
Absolutely. Agents increasingly book appointments, compare insurance coverage, and select service providers on behalf of users. Service businesses without machine-readable catalogs, hours, and services will be skipped. Detail in Agentic Commerce Is Coming.
AI Answer Share is the percentage of AI-generated answers for a given query set that cite or recommend your brand — the GEO equivalent of share-of-voice. We measure it by running a defined prompt set across ChatGPT, Gemini, Perplexity, and Claude weekly. See the methodology in State of AI Search 2026.
No — especially not for LLMs. Every citable entity in your business can be declared and interlinked, regardless of size. The AI Knowledge Graph Playbook shows how small and mid-size brands out-compete larger ones with denser, well-linked entity graphs.
It depends on your vertical. For dental clinics we've standardized on nine core entities (practitioner, clinic, procedures, specialties, conditions, insurance, reviews, place, FAQ). The post GEO for Dental Clinics walks through the exact set and how they interlink.
No ethical agency guarantees rankings, because algorithms are black boxes. We guarantee deliverables: schema implementation, citation building, and content optimization. Our track record shows a 92% success rate in improving AI visibility inside 90 days.
Yes. Voice search relies heavily on the same Knowledge Graph data that AI models use. By optimizing for GEO you are automatically optimizing for voice queries, ensuring Siri and Alexa can read your business details accurately.
Not at all. GEO is about providing better structured data and higher quality, authoritative content. We strictly follow Google's E-E-A-T guidelines and Schema.org best practices.
Google penalizes low-quality content, regardless of origin. AI-assisted content that adds genuine information gain, is fact-checked, and clearly authored is treated the same as human-only content. The differentiator is editorial oversight, not the tool.
High-trust industries see the biggest impact — healthcare, dental, legal, financial services, and real estate. These are verticals where AI assistants are asked "who should I trust?" questions and need authoritative signals to answer.
Yes. Many of our clients use us as a specialized AI layer on top of their general marketing. We handle schema, knowledge graphs, and AI-specific PR, while your existing team handles blog posts and traditional on-page work.