An AI answer is a shortlist, not a list. Two or three names, and the decision is made. We do the entity, content and citation work that puts your brand on that shortlist, then measure it every month against the questions your buyers actually ask.
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You rank for the keyword, but when a buyer asks ChatGPT the same question in plain English, three competitors get recommended and you are not one of them.
AI Overviews answer the question above your listing. Impressions hold, clicks slide, and nothing in your rank tracker explains it.
An assistant describes services you dropped, a city you left, or confuses you with a similarly named business, because nothing on the web states the facts clearly enough.
A directory, a roundup, or a competitor blog gets cited for information that came off your own site. The traffic and the credit both go to them.
GEO and AEO sit on top of a working technical base, so this runs alongside our technical SEO inside our full-stack SEO service.
We measure where you actually stand across ChatGPT, Perplexity, Gemini and Google AI Overviews on the questions your buyers really ask, then track that set month over month so progress is provable, not anecdotal.
Models cite what they can identify with confidence. We build a clean entity: consistent naming, Organization and Service schema, a sameAs graph across your profiles, and unambiguous facts about what you do and where.
Content restructured so a specific passage answers a specific question cleanly enough to be lifted and attributed: direct answers up front, scannable structure, defined terms, and claims tied to evidence.
The off-site half of the work. Assistants lean on roundups, directories, review platforms and community threads, so we go get you into the sources the models already trust in your category.
Schema built for machine reading rather than rich snippets alone, plus robots and llms.txt policy that lets GPTBot, PerplexityBot, ClaudeBot and Google-Extended reach the pages you want quoted.
None of this outruns a slow, thin or unindexed site. We keep the conventional work running underneath, because the pages getting cited are almost always the ones that were already technically sound.
Strip away the acronyms and every answer engine is solving the same problem: who can I name here without being wrong. These are the three things that make you the safe answer.
A model cannot recommend a business it cannot pin down. Entity clarity comes first, before a single word of new content gets written.
Answers are assembled from passages, not pages. We write so the useful sentence is extractable, attributable, and hard to paraphrase without crediting you.
One source is a claim, three are a fact. Third-party presence is what turns a mention into a confident recommendation.
Most AI SEO offers end at advice. Ours starts with a benchmark: a fixed set of buying questions, run across every engine we can reach, recorded question by question. You can see the starting point yourself in about two minutes with our free AI visibility scan.
A fixed prompt set re-run every month, so you see citation share move instead of taking our word for it.
ChatGPT, Perplexity, Gemini and AI Overviews behave differently. We report them separately because they fail separately.
The same entity and content work lifts classic rankings too. Nothing here is a bet that replaces what already earns you traffic.
You work directly with the person building the strategy, not an account manager relaying it.
The entity, schema and content architecture work that AI visibility is built on, already paying off in conventional search.
Ranked #1 for "CBD near me" across all three store locations, built on the same entity and local signal work that makes a brand legible to AI assistants.
Profile, citation and review work tripled calls, direction requests and website clicks, the corroboration layer answer engines lean on hardest for local recommendations.
A hub-and-spoke content architecture with schema on every page, the exact structure that gives a model clean passages to lift and a clear entity to attribute them to.
Start with the AI Search Visibility Scan. Two minutes, no call required, and you see exactly which engines name you and which do not.
Five minutes on your services, your markets, and the buying questions that matter most to your revenue.
We walk your scan line by line, show you which sources the models cite instead of yours, and where the gap is closeable fastest.
A phased AI SEO plan with defined deliverables. No hassles, no hidden fees, no long-term lock-in.
Entity and schema work first, then citable content, then the third-party presence that corroborates both.
The prompt set is re-run monthly. Questions you start winning get defended, questions you lose get diagnosed and reworked.
No add-on fees for the fundamentals. These come standard on every AI SEO engagement.
Get a Free AI Visibility AuditWe publish our methodology and give away the tools. Steal it, run it yourself, or let us handle it, either way you will know exactly what AI visibility work looks like.
Free tool. Five real buying questions sent live to ChatGPT, Perplexity, Gemini and AI Overviews, with every answer scored for whether you were named and who was cited instead.
Run a free scanA 25-minute walkthrough of structuring content so Google, Bing and AI assistants can quote it, with the template we use ourselves.
Watch the trainingWhich structured data types are worth implementing, what each one signals, and copy-ready JSON-LD for the ones that make a site machine-readable.
Read the guideHow the sameAs property ties your profiles into one entity, and why that is the single highest-leverage markup change for AI visibility.
Read the guideThe technical and content foundation every AI SEO program is built on, the same checklist we run on every engagement.
Read the checklistAI SEO is the work of getting your business named and cited inside AI-generated answers, on ChatGPT, Perplexity, Google Gemini and Google AI Overviews, rather than only ranking in the list of blue links beneath them. It combines entity optimization, structured data, content written to be quoted, and third-party presence in the sources those models already trust.
They overlap heavily. GEO, generative engine optimization, usually refers to earning visibility inside generative answers, with a heavy off-site component. AEO, answer engine optimization, usually refers to structuring your own content so it can be extracted and attributed as a direct answer. AI SEO is the umbrella term covering both plus the technical foundation underneath. As an agency we run all three as one program, because doing only one of them rarely moves citations.
There is no ranking position to buy or claim, but there is a very real set of signals that decides who gets named. Models retrieve and cite sources they can identify, parse and corroborate. When your entity is unambiguous, your pages answer questions in extractable passages, and third parties repeat the same facts about you, your odds of appearing in the answer rise sharply. That is what we build, and we measure it with a fixed prompt set rather than claiming credit for noise.
With a prompt set built from your real buying questions, re-run on a schedule across every engine we can reach. For each question we record whether your brand was named, whether your domain was cited as a source, and which competitors appeared instead. Over months that becomes a citation share trend you can hold us to, alongside the conventional metrics of rankings, traffic and leads.
Yes, and the two are not separate budgets fighting each other. Almost every page we see getting cited by an assistant was already indexed, fast, and authoritative in conventional search. AI SEO compounds on top of that foundation. If your technical health is poor, we fix that first, because no amount of entity markup rescues a site the crawlers struggle with.
Entity and schema corrections can change how models describe you within weeks, because that information is re-retrieved rather than trained in. Citation share on competitive category questions moves slower, typically one to two quarters, since it depends on third-party sources being published and picked up. We set expectations per question type rather than promising a single blanket timeline.
AI SEO runs inside our standard SEO engagements rather than as a separate retainer, so pricing follows the same tiers, starting at $3,000 per month with a three-month minimum. Which tier fits depends on how many questions and markets you need to win and how much third-party work the category demands. We recommend one plan on the strategy call and show you the others so the choice is yours.
Book a free AI visibility audit. We will run your buying questions across every answer engine we can reach and show you exactly which sources are being cited in your place.