AI SEO Services That Get You Named When Buyers Ask AI

When someone asks an AI engine who to call, a handful of businesses get named. We build the visibility, credibility, and trust your business needs to be the answer.

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Travis J., AV ConnectEddie's Heating and AirKinsaul, Survey WorksAdam, UB Kitchens ★★★★★ 100+ five-star reviews

The problem

Why does AI recommend my competitors instead of me?

Someone asking an AI who to call has already done their comparing, and buyers who arrive that way convert at roughly twice the rate of your other traffic. Whoever it names gets the call, and we work to make sure it is you.

Tell me about Redbud Builders in Austin

I could not find a builder by that name in Austin. There is a Redbud Builders & Remodeling in Vermont.

Ask anything
Not your business
Is Redbud Builders open on weekends?

You may be waiting until Monday for a callback. They are generally closed on weekends.

Ask anything
Not your hours
Who should I call for a remodel in Austin?

Based on reviews, directories and listings, I recommend Competitor 1, Competitor 2 and Competitor 3.

Ask anything
Not your lead
  1. 01

    Ask an AI about your company by name and it has nothing, or it hands you a business with a similar name two states away.

  2. 02

    It knows you, and what it says about you is out of date, incomplete, or invented.

  3. 03

    It knows you and it still names somebody else, because the sources it trusts all back them up and none of them mention you.

“The businesses that move first and dominate AI answers over the next two years win the same advantage as those that took search seriously in 2005.”
Ryan Howard, founder of Complete SEO Ryan HowardFounder, Complete SEO

Framework

How we make your business the answer

An AI answering a buying question leans on sources it trusts. We build a content and citation growth system so AI engines serve your business when customers are looking for the services you provide.

  • Build your web presence into a trust network so AI engines see the signals they need to include your business in AI answers
  • Publish content that answers the exact questions a buyer asks, plus reviews and credentials, so the AI model can credibly pick your business
  • Track citations across ChatGPT, Gemini, Claude, Perplexity and Copilot to know which sources will maximize your visibility
77.5% Recommendation rate
You were named You were not

What actually works

How we get our clients visible in AI search

We rely on data to drive the decisions and activities we run each month. Every change we make gets logged against the month it went live, so the next measurement tells us which ones moved your rate and which did nothing.

Getting the AI crawlers in

Making sure GPTBot, PerplexityBot, ClaudeBot, OAI-SearchBot and other important AI crawlers can reach your pages is the first thing we check on every AI audit, and it's broken far more often than owners expect.

Making your facts agree everywhere

Hours, address, phone, service list and price ranges need to align on your site, in your Business Profile and across the listings a model reads. When a model can't find a fact stated plainly in text, it provides an inaccurate answer based on external sources and hallucination.

Getting corroborated off your own site

An AI trusts what other sites say about you more than what you say about yourself. We get your business described accurately across the directories, review platforms and trade associations a model checks, so the sources behind the answer back you up.

Publishing the answers your buyers actually ask

An AI engine breaks questions into one or two searches of its own and answers from those results. We recover those searches to learn what the engine decided your buyer was asking, and then write content that also answers those questions.

Earning mentions where buyers compare

AI engines cite community and review sites alongside a business's own website. We look at your entire retrieval set, the pages an engine pulled from to build its answer, and work the ones carrying the competitive questions that turn into leads and booked jobs.

Measuring it every month

We look at how often you show up against your competition, track your recommendation rate and share of answers over time, and dig into the answers where competitors are cited and you are not. What is missing from those becomes the plan for the following month.

Reporting

What we track

Most agencies are still working out what to even look at. We report the same five numbers every month, and the next month's work is aimed at whichever one is not moving.

  • Share of the answers that name your business
  • How often you are cited and from which sources
  • Branded search lift and brand perception
  • AI referral traffic arriving on your site
  • Leads traced back through the whole chain
The AI Visibility dashboard: share of answers by engine, the trend month over month, and how each tracked prompt performs across ChatGPT, Claude, Gemini and Perplexity

Common questions about AI search optimization

How do I show up in ChatGPT?
ChatGPT has to be able to reach your pages, it has to find your details saying the same thing everywhere it looks, it has to find other sites backing you up, and it has to find a page that actually answers the question being asked.
Is this generative engine optimization? What about answer engine optimization?
Generative engine optimization, GEO, answer engine optimization and AI search optimization all describe the same job, which is getting a business named and cited in answers that AI systems assemble.
Is this different from regular SEO, or the same thing with a new name?
Google’s guidance is that optimizing for AI results is still SEO, but AI search is an entirely new layer. The fundamentals must be there, but the same prompts asked across ChatGPT, Gemini, Google AI Overviews, Claude, Perplexity and Copilot return different responses with different cited sources behind them. We run data analysis across industries and track the sources for the searches that matter for your business, and that guides our strategy and activity month over month.
Does this mean writing a page for every question someone might ask?
No, and that pattern actively backfires. When an engine answers a buying question it usually does not search that question. It breaks it into one or two searches of its own and answers from what those return. Those sub-queries are recoverable, and they tell us what the engine decided the question was about, which is regularly not what a keyword tool would have said. We use them to work out what is worth writing. Cranking out a page per question and per city is the scaled content pattern Google has been deindexing sites over, and it does not get you into AI answers either.
Can you guarantee ChatGPT will recommend my business?
No, and be careful with anyone who does. What we can do is measure how often it names you now, work out which of a handful of specific reasons is behind that, and fix the ones that are fixable.
How do you work out why AI is not naming us?
We ask the engines about you directly with web search switched off, which shows us what they know about you without help. If they cannot describe you without looking you up, you were not in what they learned from and the work is to build a presence they can find. If they can describe you and still name a competitor, the work is to give them a reason to pick you. Those two gaps take different work and different amounts of time, so we settle which one you have before spending a month on the wrong fix.
How long does it take?
It depends which gap you have, and the two ends of the range are far apart. If the models already know you and the problem is that live search cannot find a page of yours worth citing, that is a publishing job and it can show up within weeks. If the models do not know you at all, building the presence that changes it runs twelve to eighteen months.
How do you decide which questions to measure?
We start from the questions your business lives or dies on, in the words a buyer would use when they do not already know your name. Get that part wrong and every number after it is meaningless, so we settle the list with you before the first measurement and revisit it as your services change.
Which engines do you track, and why not my position inside the answer?
ChatGPT, Gemini, Claude and Perplexity, each question run several times against each, in both channels. We do not report a position inside an answer because we have not found a stable one to report. Running the same question repeatedly returns a different set of businesses, in a different order, often enough that a single run tells you very little. That is why we run each one several times and report your recommendation rate, which is the share of answers that name you, and not a position inside one. We are currently measuring how much of that movement is ordinary noise, so that a change we make can be told apart from it.
Do I still need this if I rank well on Google?
Ranking well helps and the two are not separate budgets, but they are not the same job either. Businesses we audit rank on page one and still sit near the bottom of the AI answers, usually because the proof a model wants to quote lives somewhere other than their website.

What you get

The AI Visibility Audit

We run the questions your buyers actually ask across four engines, count how often you are named, and work out which gap is behind the number. You get the answer either way, along with the first things we would fix, in the order we would fix them.

Get your AI Visibility Audit

Yours to keep and act on, whether you work with us or not.

9:41
AI Visibility
NAMED IN12.5%

of the answers your buyers get

What we checked
Named in ChatGPT answers
Named in Gemini answers
Named in Perplexity answers
Your site cited as a source
AI crawler access
Your details agree everywhere
Priority action plan
  1. Open the pages the AI crawlers cannot reach
  2. Make your details agree everywhere they are read
  3. Publish the answers the engines go looking for