"Someone just asked ChatGPT for the best in your category. Were you the answer?"
AI SEO that gets you named in the answer — generative engine optimization, measured and worked.
Search moved into the answer. This is the practice of measuring how AI engines describe your market, tracking whether they name you, and doing the work that earns the citation. Run on one platform, by a senior practitioner.
| What buyers ask AI in your category | Engine | Your brand | Rank in answer |
|---|---|---|---|
| best ai agents for customer support | ChatGPT | Named in answer | #2 |
| top llm observability platforms 2026 | Perplexity | Named in answer | #1 |
| enterprise rag vendors compared | Google AI | Cited as source | — |
| ai code review tools worth paying for | ChatGPT | Absent | — |
The category, defined
What is generative engine optimization?
Generative engine optimization (GEO) is the practice of improving how often and how favorably a brand is named, cited, or recommended inside AI-generated answers — the responses from engines like ChatGPT, Perplexity, and Google's AI Overviews. Where traditional SEO competes for a ranked link on a results page, GEO competes for presence inside the synthesized answer itself.
The distinction matters because the two are measured differently and won differently. SEO asks "do we rank for this query?" GEO asks "when an AI answers this question, are we in the answer, and are we described accurately?" A brand can rank on page one and still be absent from the AI answer above it — and can be named in the answer from sources that never won the top rank at all.
GEO overlaps with two adjacent terms you'll hear: AEO (answer engine optimization), which focuses on featured-snippet and voice-answer style results, and AI search optimization, a broader umbrella. In practice they describe the same shift — that discovery increasingly happens inside an answer, not a list — and the work to influence it is the same craft: structured, citable content and a measured feedback loop.
| Traditional SEO | GEO / AI visibility | |
|---|---|---|
| Competes for | A ranked link on the results page | Presence inside the synthesized answer |
| Success metric | Position, clicks, impressions | Named / cited / absent, per prompt & engine |
| Won by | Relevance, authority, links | Citable structure, entity clarity, source trust |
| Fails quietly when | Rank slips | You rank but the answer never names you |
"Why now, and not next year?"
Every traditional metric is flattening. This is the one curve pointing up.
Your buyers moved upstream. Category research now starts in ChatGPT and Perplexity, before a search is ever typed. If the AI doesn't name you there, the shortlist forms without you — and you never see the miss in your ranking report.
The window is open precisely because it's early. AI visibility is the one part of search still growing while traditional click volume flattens. The brands that measure and shape their citations now set the defaults the models learn from. The ones who wait inherit whatever the answer already decided.
"What does the work actually involve?"
Four moves, one feedback loop.
Prompt-set research
We map the questions your buyers actually ask AI about your category — not keywords, prompts. That set becomes the scoreboard everything else is measured against.
Citation baseline & tracking
For every prompt, across ChatGPT, Perplexity, and Google AI: are you named, cited as a source, or absent — and who's named instead. Tracked monthly, so movement is visible.
Source-shaping work
The content and structure that earns citations: liftable definitions, question-shaped pages, clean schema, entity clarity, and authority signals the models trust. The craft this very page is built with.
Measurement & reporting
AI-referred traffic, citation deltas, prompts newly won, competitors displaced — a monthly report that shows the channel moving, in numbers you can take to the board.
"Does it actually work?"
The numbers, from the platform itself.
Works alongside
AI visibility is one pillar. Here's the rest of the practice.
Straight answers
What people ask about AI SEO.
What is GEO, and how is it different from SEO?
Generative engine optimization is the practice of improving how AI engines name and cite your brand inside their answers. Traditional SEO competes for a ranked link; GEO competes for presence in the synthesized answer above the links. They're complementary — the source trust that earns citations often helps rankings too — but they're measured differently, and a brand can win one while losing the other.
Do I need to rank #1 to be cited in AI answers?
No. AI answers pull from sources across the results and the broader web, so brands get named from positions that never won the top click. That's the opportunity — citation presence is a separate, often earlier-winnable game than rank one.
Which AI engines do you track?
ChatGPT, Perplexity, and Google's AI Overviews as the core set, with your category's prompt list checked across each on a monthly cadence. The engine mix can be tuned to where your buyers actually research.
How long until AI mentions move?
Measurement is immediate — you'll see your named/cited/absent baseline in the first report. Movement follows the source-shaping work: structural and content changes compound over quarters as engines re-crawl and re-synthesize. Anyone promising instant citations is guessing.
Can AI visibility be white-labeled for my agency?
Yes. The whole platform — citation tracking, branded reports, client dashboards — runs white-label, so agencies can resell AI visibility (white-label GEO) under their own brand. See the partner program for how that works.
What does AI SEO cost?
AI-SEO and GEO retainers on the market generally run from $2,500 to $12,000 per month. This practice is built as a productized engagement with the platform included — tell me about your business for a candid read and current pricing.
Get your AI visibility baseline.
Tell me about your business. Within two business days you'll see where you stand in the answers — which prompts name you, which name your competitors, and what it takes to change that.