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ANSWER ENGINE OPTIMIZATIONSearch visibility

AEO: be the practice AI assistants recommend.

Patients now ask an assistant who to see and take the answer at face value. AEO is the work that makes your practice the name it returns.

Book a strategy call
All services
90 days
To local ranking, or the period is free
2 of 3
Engines you must be named on to count
~15
Tracked queries, agreed before we start

Guarantee terms in full below. Agreed in writing before any work starts.

What it actually is

Answer engine optimization (AEO) is the practice of making a business the answer an AI assistant gives, rather than a link in a list of results. For a medical practice it involves four things: modeling the practice as a resolvable entity so assistants know it exists and what it does, publishing structured data an engine can parse without guessing, writing content in self-contained answer form that a model can lift and cite, and building the third-party citations and reviews that make the recommendation defensible. It differs from SEO in what it optimizes for. SEO competes for a click; AEO competes to be the sentence the patient reads instead of clicking.

INCLUDED

What you get.

Entity foundation

Your practice modeled as a single resolvable entity across your site, Google Business Profile, directories, and professional registries, with one canonical name, address, and phone. Assistants cannot recommend what they cannot resolve, and conflicting listings are the most common reason a practice is invisible to them.

Structured data

Organization, Physician, MedicalProcedure, and FAQPage schema, shared @id references so the graph resolves to one entity rather than forking into several, and llms.txt so AI crawlers get a clean summary of what you do.

Answer-shaped content

Pages written so a model can lift a complete answer without needing the rest of the page. In practice that means a direct answer in the first 150 words, comparison tables, and question-form headings that match how patients actually phrase things to an assistant.

Citation and review signals

Assistants weight third-party corroboration heavily. We build the review velocity, directory consistency, and press or professional citations that make recommending you the safe answer for the model.

Cross-engine monitoring

Tracked query sets run against ChatGPT, Perplexity, Google AI Overviews, and Copilot, so you can see where you appear, where a competitor holds the answer, and what changed month over month.

PROCESS

How it runs.

  1. 01

    Baseline query audit

    We run the questions your patients actually ask across each major assistant and record who gets named today. This is the before picture, and it is usually the first time a practice sees what an assistant says about them.

  2. 02

    Entity and schema build

    Fix the conflicting listings, publish the structured data, wire llms.txt and crawler access. This is unglamorous and it is the part that most determines whether anything else works.

  3. 03

    Answer content production

    Procedure, condition, and comparison pages written in liftable answer form, targeted at the query set from step one.

  4. 04

    Citation building

    Review velocity, directory cleanup, and third-party mentions, so the recommendation has corroboration behind it.

  5. 05

    Track and widen

    Monthly re-runs of the query set. Coverage typically widens from local, to statewide, to cross-state as the citation base compounds.

BY PRACTICE TYPE

Same service. Different execution per vertical.

Plastic surgery

Surgeon-level entity work matters as much as practice-level. Patients ask assistants for a surgeon, not a clinic.

Med spas

Treatment and brand-name queries (specific injectables, device names) carry most of the volume.

Dental

Implant and full-arch queries are the high-value set. General dentistry queries resolve to proximity and are hard to win on content alone.

Telehealth

No geography to anchor to, so the work leans almost entirely on condition content and citation authority.

Specialty clinics

Physician credentials are the strongest available signal, because assistants weight expertise heavily in medical answers.

More on why the strategy changes: One playbook does not fit five clinics.

The 90 days guarantee

We agree the queries before we start. If your practice is not being named in the answers by day 90, the period is free.

  • Around fifteen tracked queries, agreed with you at kickoff, for the treatments and the market you actually want.
  • “Ranked” means your practice is named in the assistant’s answer for at least a third of that set.
  • Measured on at least two of ChatGPT, Perplexity, and Google AI Overviews.
  • Re-run and reported monthly, on the record, so you watch it move rather than take our word for it.
  • Miss it at day 90 and your fees for that period are waived.

Terms agreed in writing before any work starts. The tracked query set is fixed at kickoff so neither side picks it after the result is known.

When this is the wrong purchase

AEO is not a fast channel. If the practice needs booked appointments this month, paid advertising is the honest answer and AEO is the thing you start alongside it, not instead of it.

QUESTIONS

AEO (AI Visibility): common questions.

  • What is AEO and how is it different from SEO?

    AEO optimizes to be the answer an AI assistant gives; SEO optimizes to rank as a link a person clicks. They share infrastructure, since both depend on crawlable content, clean structured data, and authority signals, but they diverge in format. SEO rewards a page that satisfies a search intent across a full visit. AEO rewards a passage a model can extract, attribute, and repeat without the surrounding page.

  • How long does AEO take to work?

    Across our partner practices, entity and schema work typically produces recommendations inside roughly a 50-mile radius by month three, widens to statewide coverage around month six, and reaches cross-state recommendations at twelve months and beyond. Those are typical outcomes rather than guarantees, and speed varies with market density, existing domain history, and review volume.

  • Can you guarantee my practice will rank first in ChatGPT?

    No, and any agency promising it is describing something they do not control. Assistant answers vary by prompt phrasing, session, and model version, so the same question can return a different shortlist an hour later. What is controllable is whether your practice is resolvable, structured, cited, and present in the answer set at all, which is what the work targets.

  • Do I need AEO if my SEO is already strong?

    Strong SEO helps but does not transfer automatically. Assistants draw on structured data, entity resolution, and third-party corroboration more heavily than a search ranking does, so a practice can rank first in Google and still be absent from an assistant's recommendation because its entity is fragmented across conflicting listings.

  • How do I get my practice recommended by ChatGPT?

    Three things have to be true. The assistant has to be able to resolve your practice as a real entity, which means one consistent name, address, and phone everywhere it looks. It has to find structured data it can parse without guessing. And it has to find third-party corroboration, mainly reviews and citations, because a model will not recommend a business it cannot verify.

  • How do I show up in Google AI Overviews?

    AI Overviews draw heavily on pages that already rank plus structured data, so strong conventional SEO is the entry ticket rather than a separate track. What lifts a page into the Overview is format: a direct answer inside the first 150 words, question-form headings, and comparison tables a model can extract cleanly.

  • What is llms.txt and do I need one?

    It is a plain-text file at the root of your site giving AI crawlers a clean summary of what you do and which pages matter. It is not an official standard and no engine guarantees it reads one. It costs an hour to publish and removes ambiguity about your entity, which is why we ship one on every account.

  • Does schema markup actually affect AI recommendations?

    Yes, more than it affects conventional rankings. Schema tells a model your credentials, procedures, and location as facts rather than as prose it has to interpret. The most common failure we find is not missing schema but forked schema: several Organization nodes with different IDs, so the graph resolves to three weak entities instead of one strong one.

  • Why does ChatGPT recommend my competitor instead of me?

    Usually because your competitor is easier to verify, not because they are better. The typical causes are conflicting directory listings, thin or stale reviews, no procedure-level pages, and content written as marketing copy rather than as answers. A model recommending a clinic is taking a small reputational risk, so it defaults to the practice with the most corroboration.

  • How do I track whether AI is mentioning my practice?

    By running a fixed query set on a schedule. We agree roughly fifteen questions your patients actually ask, run them monthly against ChatGPT, Perplexity, Google AI Overviews, and Copilot, and record who gets named. Answers vary between sessions, so a single spot check tells you nothing and only the trend across a set is meaningful.

  • Do reviews affect AI recommendations?

    Heavily, and recency matters more than total count. A practice with forty reviews from the last year generally outperforms one with two hundred from four years ago, because assistants weight corroboration that looks current. Review velocity is also the lever a practice can move fastest, which is why it is usually the first thing we fix.

  • What is GEO and how is it different from AEO?

    Generative engine optimization and answer engine optimization describe overlapping work and most practitioners use them interchangeably. Where people do separate them, GEO is about being included in generated content broadly, and AEO is specifically about being the recommended answer to a question. We run them as one program because the underlying work is identical.

  • How much does AEO cost for a medical practice?

    It is scoped against your market density and the state of your existing entity, and it is quoted on the first call rather than off a rate card. The largest variable is cleanup: a practice with consistent listings and an established review flow starts from a much cheaper baseline than one with five conflicting profiles.

  • Can I do AEO myself?

    Parts of it, yes. Cleaning up your directory listings, asking for reviews consistently, and answering real patient questions on your own site are all things a motivated practice can do without an agency. The schema graph, the entity modeling, and the cross-engine tracking are where most practices stall, because they are technical rather than effortful.

  • Does AEO work for a practice with no existing website traffic?

    It can, and this is one of the real differences from SEO. Assistants weight entity clarity and third-party corroboration more heavily than site traffic, so a practice with strong reviews and clean listings can be recommended while ranking poorly in conventional search. It is slower without a content base, but not blocked by one.

  • Will AEO help if I have multiple locations?

    Yes, and it needs to be built per location rather than once for the brand. Each location needs its own resolvable entity with its own address, phone, and reviews, linked to the parent organization. The most common multi-location failure is a single shared entity, which leaves every location competing against its own siblings.

  • What happens to my AEO work when the AI models change?

    The durable parts survive model changes because they are not model-specific. Entity consistency, structured data, reviews, and answer-shaped content are inputs every engine uses and has used through several model generations. What does change is phrasing and ranking behaviour, which is why the tracked query set gets re-run monthly rather than set once.

  • Do AI assistants use my Google Business Profile?

    Directly and indirectly. Some assistants pull local business data that originates with Google, and almost all of them read the directories and aggregators your profile feeds. In practice a neglected Google Business Profile shows up as an inconsistent or incomplete entity across several engines at once, not just in Google.

  • Is AEO worth it for a small single-location practice?

    Often more than for a large one. Assistants tend to name two or three businesses rather than ten, so the gap between being named and being invisible is wider than a search results page, where position eight still gets some traffic. A single location with clean signals can hold that slot against a larger competitor with messier data.

  • How is AEO measured and reported?

    Against the agreed query set, monthly. You see which questions named you, which named a competitor, which engines you appear on, and what moved since last month. We do not report impressions or scores we invented, because neither corresponds to anything you can verify by opening ChatGPT and asking.

  • What should I look for in an AEO agency for a medical practice?

    Four things. Do they run a defined query set you agreed to, or do they report a score they invented. Do they fix entity and citation problems off your website, or only touch pages they control. Do they work in healthcare specifically, since medical answers are weighted differently by assistants. And will they sign a Business Associate Agreement.

  • What questions should I ask before hiring an AEO agency?

    Ask which queries they will track and who chooses them. Ask what they will do that happens off your website, since roughly half the signal does. Ask them to show you a report from an existing client with the name removed. Ask what they will not be able to influence. An agency with no honest answer to the last one is selling certainty it does not have.

  • How does ChatGPT decide which doctors to recommend?

    It draws on what it can verify. That means a business it can resolve as a single consistent entity, structured data it can parse, third-party corroboration such as reviews and directory listings, and content written in a form it can quote. Recommending a clinician carries reputational risk for the model, so it favours the practice with the most corroboration rather than the best marketing.

  • What signals actually influence AI recommendations for doctors?

    Entity consistency across your site, Google Business Profile, and directories; structured data that resolves to one organization rather than several; review volume and recency; named clinicians with verifiable credentials; and content that answers questions directly enough to be quoted. Paid advertising has no influence on this whatsoever, which surprises most practices.

  • Is AEO replacing SEO for medical practices?

    No, it is adding a layer. Conventional search still sends most healthcare traffic and AI Overviews draw heavily on pages that already rank, so abandoning SEO would remove the foundation AEO stands on. What is changing is that ranking well and being recommended are no longer the same outcome, and they need to be measured separately.

  • How do I outrank another plastic surgeon in AI search?

    By being easier to verify than they are. In most markets the competitor being recommended is not better, they are cleaner: consistent listings, recent reviews, named surgeons with visible credentials, and procedure pages written as answers. The fastest gains usually come from fixing conflicting directory data rather than from publishing more content.

  • Who does AEO specifically for healthcare rather than general business?

    It is still a small field. The distinction that matters is whether the agency understands that medical answers are held to a higher evidentiary bar by assistants, that clinician credentials are a ranking signal, and that patient data cannot flow through the tracking they install. ClinicAds works only in elective healthcare and signs a BAA on every account.

  • Should a plastic surgery practice invest in AEO now or wait?

    The argument for now is that the work compounds and the entity cleanup takes months regardless of when it starts. The argument for waiting is that the field is young and measurement is imperfect. If your patient volume depends on being found rather than on referral, waiting has a cost that is real but hard to see until a competitor holds the answer.

  • Does AEO work differently for dentists, med spas, and surgeons?

    The mechanics are identical and the emphasis is not. Surgeons need surgeon-level entity work because patients ask for a person. Med spas live on treatment and brand-name queries. Dental splits between high-value implant queries worth competing for and general queries that resolve on proximity. The query set changes even when the underlying work does not.

  • Can I run AEO with one agency and SEO with another?

    You can, and it usually costs you. Both disciplines write to the same pages, publish to the same schema graph, and depend on the same entity data, so two teams working independently tend to overwrite each other. If you do split them, insist that one of them owns the structured data outright.
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