100+ Five-Star Reviews

AI SEO services that get you named when buyers ask AI

We build the visibility, credibility, and trust your business needs to be the answer.

The problem

Why does AI recommend my competitors instead of me?

When someone asks an AI engine who to call, a handful of businesses get named. The person asking has already done their comparing, and buyers who arrive that way convert at roughly twice the rate of your other traffic. Whoever gets named 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    It knows you, and what it says about you is out of date, incomplete, or invented.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?

AI search adds a whole new layer on top of SEO. Google's guidance says optimizing for AI results still counts as SEO, and the SEO fundamentals have to be in place.

The same prompts asked in ChatGPT, Google AI Overviews, Gemini, Claude, Perplexity, and Copilot bring back different responses, each based on different cited sources. We analyze data across industries and track the sources behind searches that matter to your business. Both steer our strategy and our work month to month.

Does this mean writing a page for every question someone might ask?

No. That pattern actively backfires. When an engine answers a buying question, it usually runs one or two searches of its own using terms different from the question as asked, then builds an answer from those results.

We can recover those sub-queries to see what the engine took the question to be about. That regularly differs from what a keyword tool would suggest, so we use the sub-queries to decide what's worth writing. Google has been deindexing sites for scaled content. Mass-producing a page for every question and every city fits that pattern and fails to get you into AI answers.

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 question the engines directly about you with web search off to see what they know unaided. If they can't describe you unless they look you up, the material the models learned from didn't include you. In that case, we build a presence the engines can find. If they can describe you and still name a competitor, we give them a reason to choose you.

Those two gaps call for different work and take different lengths of time. We pin down which gap you have first so a month doesn't go to the wrong fix.

How long does it take?
It depends on which gap you have, and the time it takes varies widely. If models already know you but live search turns up no page of yours worth citing, the fix is publishing. Results can appear within weeks. If the models don't know you at all, building a presence that changes what they know takes 12 to 18 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 don't 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?

We track ChatGPT, Gemini, Claude, and Perplexity, and we don't report your position within an answer because we haven't found a stable position to report. Asking the same question repeatedly brings back different businesses in a changing order. This happens often enough that one run on its own says very little.

That's why we run every question several times on each engine in both channels and report your recommendation rate, the share of answers naming you. Right now we're measuring how much of the movement from one run to the next is ordinary noise so we can tell the effect of our changes apart from it.

Do I still need this if I rank well on Google?
Ranking well helps and the two aren't separate budgets, but they aren't 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.

100+ Five-Star Reviews

We find the gaps and why you're losing leads to competitors

We show you precisely how your company appears at every point where a customer is deciding who to trust, and tell you exactly what needs to change.

Free Visibility Audit

See exactly how your company shows up, and what to fix first.