AI SEO Agency: What They Do and How to Choose One

An AI SEO agency is a partner that works to get your brand named and cited inside AI answers, from ChatGPT and Gemini to Perplexity and Google AI Overviews, not only ranked in the blue links beneath them. That work carries two labels, answer engine optimization (AEO) and generative engine optimization (GEO), and it sits on top of the technical and content SEO you already know. This guide is for founders, CMOs, and heads of growth who have decided AI-search visibility matters and are now weighing whether to hire for it. It covers what these agencies actually deliver, how the results get measured, and how to tell a real capability from a traditional package wearing a new label. It also covers the part most vendor pages skip: when building in-house first is the smarter move.

The short version

• There is no secret AI setting: Google states plainly that there are no extra requirements, no special schema, and no AI text file needed to appear in AI Overviews or AI Mode. An agency promising to "submit you to ChatGPT" is selling something that does not exist.
• The job is citation, not just ranking: an AI SEO agency optimizes for being named inside answers from ChatGPT, Gemini, Perplexity, and Google AI Overviews, which is what AEO and GEO mean, layered on classic technical and content SEO.
• The real work is unglamorous: entity authority, content structured to be quotable, digital PR that earns citations, and measurement across a fixed prompt set. Not a plugin, not a hack.
• Judge the method, not the logos: the deciding question is how an agency measures AI-search visibility and what it hands you each month, not which brand names sit on its homepage.

What does an AI SEO agency actually do?

Three things, layered. It makes your site easy for AI systems to read and trust, it earns the signals that make those systems cite you, and it measures how often the engines actually name you so the work can be adjusted.

The first layer is the classic foundation. AI answer engines still run on crawlable, indexable pages. Google is explicit that AI Overviews and AI Mode use the same core Search systems, so crawling, indexing, rendering, and helpful content remain the price of entry. If a page cannot be crawled or does not deserve to rank, it will not be quoted either.

The second layer is what makes AI SEO distinct. It covers entity work: defining who you are, what you do, and how you connect to known people, products, and topics, so an engine can retrieve you with confidence. It covers content structure: clear definitions, direct answers, comparison tables, and self-contained sections that a language model can lift without ambiguity. And it covers citation earning: digital PR and mentions across the sources these engines draw from, because retrieval-augmented generation pulls from the wider web, not only from your domain.

The third layer is measurement, and it is the one most packages skip. A real program tracks share of voice across a defined set of prompts on each engine, watches citations and brand mentions move over time, and reads Search Console and GA4 alongside them. Without that layer, no one can tell whether the work did anything.

Does an AI SEO agency sell AEO, GEO, or both?

They are two names for closely related goals, and a good agency runs them as one program. AEO (answer engine optimization) aims to win direct-answer results: featured snippets, People Also Ask, and the answer boxes that AI Overviews build on, and our guide to answer engine optimization covers the six-check test for whether a passage qualifies. GEO (generative engine optimization) aims to be synthesized and cited inside a generated answer from a large language model such as ChatGPT, Claude, or Perplexity, a topic our guide to how brands earn AI citations covers in full.

The overlap is large because both depend on the same underlying reality. The content has to be crawlable, clearly structured, and trustworthy enough to be quoted. The term GEO comes from a 2023 research paper by Aggarwal and colleagues, who defined it as a framework for improving content visibility in generative engine responses and reported visibility gains of up to 40 percent on their benchmark, with results that varied sharply by topic. Treat that number as evidence the lever exists, not as a promise any agency can repeat for your brand.

How is an AI SEO agency different from a traditional SEO agency?

Less than the marketing suggests, and more than the skeptics admit. Most of the foundation carries straight over. What changes is the target of the optimization and, crucially, how success is measured.

Dimension	Traditional SEO agency	AI SEO agency
Primary goal	Rank a URL in the blue links	Get the brand cited inside AI answers and answer boxes
Success metric	Position, clicks, organic sessions	Share of voice across prompts, citations, mentions, assisted traffic
Content shape	Optimized for a keyword and a click	Structured to be quoted verbatim by a model
Off-page work	Links for authority and referral	Mentions and links across the sources engines retrieve from
Foundation	Crawl, index, render, E-E-A-T	Identical, plus explicit entity definition

The honest read is that AI SEO is an extension of good SEO, not a replacement for it. The best AEO and GEO practitioners are strong technical and content SEOs who added a citation-and-measurement layer. We walk through the shift in detail in our guide to what changes with AI search. Any agency that treats AI search as a clean break from fundamentals usually understands neither.

What do real AEO and GEO deliverables look like, and what is snake oil?

Real deliverables are concrete, auditable, and grounded in the open web. Snake oil trades on the mystery of a black box. Here is the difference in plain terms.

What a real program hands you: an entity and schema audit that clarifies how machines read your brand; a structured-content plan that turns key pages into quotable answers; a digital-PR effort aimed at earning mentions in the publications AI engines cite; a defined prompt set with a baseline share-of-voice reading; and monthly reporting that shows movement on that prompt set. Structured data belongs here because Google uses it to understand content and enable rich results, which sharpens your entity footprint. Entity authority is foundational enough that we treat building a brand entity as its own discipline.

The red flags are easier to spot once you know what the real work looks like. Be wary of any of these:

• Guaranteed placements or rankings: no one controls what a generative model outputs, and outputs shift between sessions and model versions.
• "We submit you to ChatGPT" or "special AI markup": Google's own documentation says there is no separate submission, no special schema, and no AI text file required to appear in AI features. There is currently no standard llms.txt that engines commit to reading, either.
• "We control the AI": nobody does. The honest claim is influence over retrieval and citation likelihood, not control.
• No measurement plan: if the proposal cannot say how it will prove the work moved anything, the answer is that it cannot.

In my experience, the packages that quietly fail are almost always the ones with no measurement plan attached. The work may even be sound, but with nothing to read, no one can tell, so the retainer gets cut at the first budget review. If you want the mechanics of how engines decide what to quote, our explainer on how AI answer engines choose what to cite covers it, and it doubles as a way to sanity-check any agency's pitch.

How do you measure the results of AI SEO?

With a fixed prompt set, tracked over time, on each engine that matters to you. That is the core of it, and it is the single most important thing to get right before any money is spent.

A credible measurement program has four parts. A prompt set: a defined list of the questions your buyers actually ask, held constant so results are comparable month to month. Share of voice: how often each engine names you versus competitors across that set. Citations and mentions: whether you appear as a linked source or a named brand, tracked as the answers change. Search signals: Search Console and GA4 read alongside the rest, since AEO wins in Google often show up in impressions and assisted visits.

The trap is the vanity screenshot. One flattering ChatGPT answer, captured once, proves nothing, because the same prompt can return a different answer an hour later. Ask instead for a trend on a defined prompt set. Our guide to how to track AI search visibility lays out a method you can run yourself, and it is also the standard you should hold any agency to. The same discipline applies to Google's own AI surface, which we cover in ranking in Google AI Overviews.

From my experience, the first thing worth building, before you hire anyone, is that prompt set. It costs almost nothing, it forces you to name the questions you actually want to win, and it gives you a baseline that turns any agency conversation from a sales pitch into an audit.

How to choose an AI SEO agency: the evaluation scorecard

Score prospective agencies on method and evidence, not on the size of the logos on their homepage. The scorecard below is the one I would use as a buyer. Ask for a concrete answer to each row, and treat vagueness as a failing grade.

What to check	What good looks like	Red flag
Foundation	Treats crawl, index, render, and helpful content as the base of AI visibility	Sells AI search as separate from SEO fundamentals
Method	Names entity, schema, structured content, and citation-earning as the levers	Vague "AI optimization" with no named tactics
Measurement	Defined prompt set, share of voice, tracked over time	Screenshots of single answers as proof
Attribution	Connects the work to Search Console and GA4 signals	No link to your actual analytics
Reporting	Monthly, auditable, shows losses as well as wins	Only good news, no methodology
Honesty	Tells you when in-house is the right call	Guarantees, "we control the AI," fixed placements
Contract	Clear scope, sane exit terms, owns nothing you cannot take with you	Long lock-in, opaque deliverables

A simple way to use it: any agency that scores well on foundation, method, and measurement is worth a serious conversation. An agency that stumbles on measurement is not, no matter how good the rest of the pitch sounds, because you will never be able to tell whether you are getting value.

What does an AI SEO agency cost, and is it worth it?

It depends on scope, and any fixed figure quoted out of context should raise an eyebrow rather than settle the question. Pricing varies widely by market, the depth of the entity and PR work, and whether measurement infrastructure is included, so the useful comparison is not price against price but deliverables against deliverables.

Ask what the fee buys before you ask what it is. A retainer that includes a defined method, a measurement plan, and reporting you can audit is a different product from one that promises "AI optimization" and sends a monthly screenshot, even at the same number. Worth is a function of two things: whether AI search is where your buyers actually are, and whether the agency can prove movement. If your category has meaningful AI-answer volume and the agency measures honestly, the case is strong. If neither is true, no price is a good price.

Should you hire, or build in-house first?

Start in-house if you can, and hire when the work outgrows what your team can do quickly. That order protects your budget and makes you a sharper buyer if you do end up hiring, because you will already have a baseline and a vocabulary.

A small team can get surprisingly far alone. Building a prompt set, tightening schema, and restructuring your most important pages to be quotable are all doable internally, and they are the highest-leverage first moves. Hiring earns its keep when you hit a ceiling that time or skill cannot clear.

Your situation	Lean in-house	Lean toward hiring
Team capacity	Someone owns SEO and has hours to spare	No one owns it, or everyone is at capacity
Entity authority	Brand is already known and cited	You need digital PR to become citeable at all
Speed needed	You can move at a learning pace	A launch or raise means you need results this quarter
Measurement	You can stand up basic prompt tracking	You want infrastructure you cannot build yourself

The best engagements tend to start the same way: a team tries it in-house first, learns exactly where the wall is, and hires to get past that specific wall. That is also how we prefer to work, and we would rather tell you to run the prompt set yourself for a quarter than sell a retainer you are not ready for. Whichever route you choose, set your expectations against realistic timelines for organic results rather than a vendor's promise, since the same starting-state factors that decide when you should hire also decide how soon the work pays off. You can see how we frame the broader program on our organic growth service, including AI search.

The habit worth building is simple: evaluate AI-search work on method and measurement, never on logos or a single screenshot. An agency that can show you a defined prompt set and a trend on it is doing the real thing; one that cannot is guessing, however confident the pitch.

Do one concrete thing this week. Write down the twenty questions your buyers actually ask an AI assistant, run them through ChatGPT, Gemini, and Perplexity, and note where you appear and where a competitor does instead. That single exercise is your baseline, your entity-footprint audit, and the sharpest question you can put to any agency, all at once. If you want a second opinion on what you find, talk to an SEO expert before you commit to anyone.