Become the business AI recommends.
When 45% of your customers ask ChatGPT, Gemini, or Perplexity who to hire, the engines name two or three businesses and stop. AI Engine Optimization is the discipline of making sure one of them is you — built on the five signal layers engines actually use, not guesswork.
Illustrative preview — the goal of every engagement, not a promise of placement.
Being great at the work no longer means being in the answer.
Engines check sources you’ve never touched
ChatGPT builds local recommendations from Foursquare, Yelp, Bing, and the BBB — records most businesses haven’t looked at in years, if ever.
Only 1.2% ever get named
Across 350,000+ analyzed locations, barely one business in a hundred gets recommended. The filter is brutal and invisible.
Winning Google isn’t enough
Only about 45% of Google’s local winners appear in AI answers. You can hold the #1 ranking and be absent from the conversation that matters.
An entire channel moved.
Most businesses never got the memo.
of consumers now use AI to find local businesses — up from 6% a year ago.
BrightLocal, 2026of businesses ever get recommended by ChatGPT across 350K+ locations.
SOCi, 2026overlap between Google’s local winners and the businesses AI actually names.
SOCi, 2026of local businesses have no AI strategy at all. That’s the window.
Industry surveys, 2026AEO, executed layer by layer.
Everything maps to the Recommendation Stack™ — the five signal layers AI engines use to decide who to recommend.
Entity & data consistency
We reconcile your name, address, hours, and details across Foursquare, Yelp, Bing, BBB, Google, and your site — the mismatches engines punish hardest.
Review authority
A steady, honest review pulse across the platforms engines actually read — velocity and recency, not one-time bursts.
Answerable content
Pages rewritten as direct answers to the questions your customers ask, structured so engines can lift and cite them.
Machine readability
Full schema markup, clean architecture, and fast pages — your facts handed to engines instead of left to inference.
Third-party corroboration
Citations, listings, and mentions across independent sources, maintained monthly as engine sourcing churns.
Answer Share reporting
Every month: how often engines name you, engine by engine, alongside real leads — never vanity metrics.
The Recommendation Stack™.
Five signal layers decide who AI engines name. Every engagement builds them in order — tap a layer to see the work behind it.
Layer 1 is the foundation — nothing above it works if the base disagrees with itself.
From kickoff to compounding results.
Foundation & fixes
We audit, reconcile your data, and repair the failures that silently disqualify you — the fastest wins land here.
Build & publish
The system goes live: structure, content, signals, and automation, each piece measured as it ships.
Compound & adapt
Engines change their sources constantly. We adapt monthly and report your Answer Share and real leads in plain English.
The 5 Stages of AI Visibility.
Every business sits on exactly one rung right now. Which one decides what to fix first — and roughly 99% are stuck below Stage 4.
Invisible
Engines can’t confirm you exist. Data missing, wrong, or contradicting itself.
Indexed
You exist to the machines, but you’re never chosen. In the data, absent from the answer.
Mentioned
You surface occasionally — usually in lists, rarely as the recommendation.
Recommended
Engines actively name you in your market. This is where the phone changes.
Default Answer
First name, consistently, across engines. The position competitors can’t buy overnight.
This is where the receipts go.
Every testimonial and result on this site will come from a real, verifiable client — named, with permission. Until we have them, this space says so out loud rather than borrowing someone else’s words.
“Replace with a real client quote once results land — ideally naming the outcome (‘AI started recommending us in 11 weeks’) and the person, business, and city.”
— Name, Role · Business, City
Replace with a real, measured result: starting Answer Share → current Answer Share, over a stated number of weeks, for a named client who approved it.
Never publish a number we can’t evidence.
Replace with a short case study: the situation, what we changed across the Recommendation Stack™, and what happened — including anything that didn’t work.
Link to the full write-up when it exists.
Delete this entire section once real proof replaces it — an empty promise is worse than no section.
Six promises — all checkable
before you pay us a dollar.
Published pricing
Every price on the page. No quote calls, no setup-fee ambush.
Month-to-month
No contracts. We re-earn the business every single month.
You own everything
Site, domain, content, data, CRM — in writing, from day one.
Free audit, no strings
A real human review, yours to keep whether you hire us or not.
Honest timelines
Visibility compounds over 8–12+ weeks. We say so before you buy.
We name what didn’t work
Every report lists the misses. Trust is built in the down months.
Same industry. Opposite rules.
Find out where you stand before you spend a dollar.
The free audit shows your Answer Share, your visibility stage, and your first three fixes — yours to keep either way.
Questions owners actually ask.
Related, not identical. SEO earns rankings in search results; AEO earns mentions inside AI-generated answers. They share foundations — structure, authority, content — but AEO adds entity data, review signals, and citation sources engines specifically consult. We run both as one system.
No, and nobody honest can — engines change sources constantly. What we do is build every signal they’re known to check, measure your Answer Share monthly, and adapt. Month-to-month terms mean we re-earn it with results.
Data and entity fixes land within weeks; review velocity builds over 1–3 months; AI visibility typically compounds meaningfully over 8–12+ weeks. Anyone promising overnight AI rankings is guessing or lying.