// GEO · AEO · AI Search Optimization

Get cited by the AI engines people actually use.

ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews all decide what to quote on their own logic. We optimize for it, track citations weekly, and ship the changes that move the needle.

// straight answers

What GEO is, and how you get cited.

The plain-English version of generative engine optimization, how citations actually happen, and how it lines up against traditional SEO.

What is GEO (Generative Engine Optimization) or AI-SEO?

GEO, also called AI-SEO or Answer Engine Optimization, is the practice of structuring a site so AI engines quote it when they answer a question. Instead of chasing a blue-link ranking, you become the source ChatGPT, Perplexity, Gemini, or a Google AI Overview cites. The technical baseline is the same as classic SEO (crawlable pages, clean HTML, real expertise, schema), and GEO adds passage-level structure, entity clarity, and open access for AI crawlers on top. That mix is the core of how to earn citations in AI search, and our AI search citation benchmark shows which sources AI engines actually name.

How do you get cited in AI search?

An AI engine cites a page when its crawler can reach it, its parser can read clean text and schema, and the passage answers the question in a self-contained way the model can lift. We track per-query citations weekly across 14 AI engines, restructure content into quotable passages, add Organization and Article schema with a populated sameAs graph, and keep robots rules and llms.txt open to the crawlers that matter. Citations trail the fixes by about four to six weeks, so we measure the trend. For worked examples, see how AI Overviews decide which sites to cite and what changed between GEO and SEO in 2026.

// GEO vs traditional SEO
Dimension
Traditional SEO
GEO / AI-search
What it optimizes
A blue-link ranking position
Being the source the AI answer cites
Where it shows
The search results page
AI answers in ChatGPT, Perplexity, Gemini, and Google AI Overviews
Unit of optimization
The page
The passage, a self-contained 2 to 5 sentence answer
Signals that move it
Crawlable pages, clean HTML, links, and schema
The same baseline plus passage structure, entity clarity, and open access for AI crawlers
How you win
Rank higher than competitors
Answer the question in a way the model can lift verbatim
How you measure it
Keyword rank tracking
Per-query citation tracking across 14 AI engines
// engines we track

Citations tracked across 14 AI engines.

Each engine has its own crawler, ranking logic, and citation behavior. We track yours on every one of them, every week.

Conversational AI
ChatGPT
OPENAI · GPTBOT
ClaudeBot
ANTHROPIC
PerplexityBot
PERPLEXITY
Gemini
GOOGLE AI
You.com
CONVERSATIONAL
Phind
DEV-FOCUSED
AI-powered search
AI Overviews
GOOGLE AIO
Microsoft Copilot
MICROSOFT
DuckAssist
DUCKDUCKGO AI
Brave Search AI
BRAVE
Crawlers + indexes
Google Discover
FEED PLACEMENT
AppleBot
SIRI + SPOTLIGHT
AmazonBot
ALEXA + ROCKETBOX
Yandex
YANDEXGPT
// what GEO actually involves

The work behind getting cited.

GEO, also called Answer Engine Optimization (AEO), is not "SEO with a new acronym." The signals that move AI citations overlap with classic SEO on the basics, then diverge sharply on structure, entity disambiguation, and what the LLM finds quotable. For the traffic side of that shift, see what Google's AI-search click number means for small sites.

Citation tracker
Weekly
Where you get quoted, by engine and query
We run your tracked queries through each AI engine every week. When your domain appears as a citation, it logs which engine, which query, which page, and what passage was quoted, so you can track which AI engines cite you over time.
ChatGPT
Perplexity
Claude
Gemini
AI Overview detector
Live
Which queries are losing clicks to AI
Every keyword you rank for is pulled from Search Console daily and checked each week for the AI Overview signature: impressions holding while click-through collapses. Those queries get flagged and their pages reworked to earn the citation — included in the standard $200/mo plan.
200
queries per domain, refreshed daily — plus weekly readiness scoring for AI Overviews, ChatGPT, Perplexity, Gemini and Copilot.
Quotable passages
Per page
Passage-level rewrites
LLMs extract self-contained answers. We rewrite key passages to be quotable in isolation.
+187%citation lift · 90 days
llms.txt + robots
Deployed
AI crawler access
llms.txt manifests, robots policy tuned per engine, allow/deny per crawler.
User-agent: GPTBot
Allow: /blog/
Allow: /docs/
Disallow: /internal/
Schema for AI
JSON-LD
Structured for retrieval
Article, FAQ, HowTo, Dataset, ClaimReview. The types LLMs consume directly.
"@type": "FAQPage",
"author": { "@type": "Person" },
"datePublished": "2026-05"
Entity structure
Mapped
Brand disambiguation
sameAs links, Wikidata IDs, consistent entity references across the site.
0
Entity strengthHow clearly LLMs map your brand to its domain
// how a citation actually happens

The four stages of getting quoted.

Most "AI SEO" advice skips straight to "write better content." The real path is more mechanical.

Step 01

Access

The crawler reaches the page. Robots, llms.txt, and CDN rules all decide this. Block one engine by accident and you vanish from its index for months.

Step 02

Parse

The page is converted to clean text. JavaScript-heavy renders fail here. Schema and semantic HTML give the parser structure it can trust.

Step 03

Retrieve

At query time, the engine searches its index for passages that match the user's question. Self-contained passages with clear claims win.

Step 04

Cite

The engine picks 2 to 6 sources. Entity clarity, recency, and author signals tip which sources make the final cut. See how we got an independent guide cited in AI search (Hyperliquid Guide case study).

The piece most agencies miss: every stage compounds. A page that fails parsing never gets retrieved. A page that gets retrieved but has weak entity signals gets ranked lower in the citation list. We work all four stages every week, on every page that has citation potential.
// GEO vs AEO vs AIO

Same goal, different acronyms.

The AI-search world has picked up a lot of new terms in the last year. Here is what they mean and how they fit together.

What is GEO (Generative Engine Optimization)?

GEO is the practice of optimizing your content so AI engines like ChatGPT, Perplexity, Gemini, and Google AI Overviews cite it when they answer a user's question. Instead of chasing a blue-link ranking, you are trying to become the source the model quotes.

Is GEO the same as AEO (Answer Engine Optimization)?

In practice, yes. AEO stands for Answer Engine Optimization, and most of the industry uses the two terms for the same work: getting your content pulled into AI-generated answers. Some people draw a fine line, with AEO for being the direct answer and GEO for the wider AI response, but the tactics overlap almost completely. We use GEO because it is the more widely adopted label.

How is GEO different from AIO (AI Overviews)?

AIO refers to Google's AI Overviews, the AI summary box at the top of some Google results. That is one specific product. GEO is the broader discipline of optimizing for every AI engine, AI Overviews included. So AIO is a place you want to show up, and GEO is how you get there.

Do I still need traditional SEO?

Yes. Google itself says GEO and AEO are still SEO at their core. The technical foundation of crawlable pages, clean HTML, real expertise, and schema feeds both your Google rankings and your AI citations. GEO adds a layer on top: passage-level structure, entity clarity, and AI crawler access. We run both in the same weekly cycle.

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