Get recommended when AI answers for your market
A growing share of your future customers will never see a list of 10 blue links. They’ll ask ChatGPT, Perplexity, or Google itself a question (“who’s the best design-build firm near Bethesda?”) and get one answer, with a few names in it.
AI visibility baseline
“Who are the best estate planning attorneys near me?”
One answer. Three names in it.
not named today
Asked across ChatGPT, Perplexity, and Google’s AI results.
An AI answer names three firms. Two of the three name slots are filled by other firms. The third slot, yours, is empty.
Why the rules changed
AI SEO is the work of being one of those names. The industry calls it generative engine optimization (getting AI tools to recommend you). We call it the next land grab, because right now almost nobody in your market is doing it, and the businesses that move first get cited first.
Traditional SEO earns you a ranking. AI engines don’t rank; they answer.
When ChatGPT or Google’s AI Overviews recommend a firm, they don’t consult a leaderboard. They assemble an answer out of what they can verify about you, and five things carry most of the weight.
Answer-shaped content
Engines quote pages that ask a real question and answer it plainly. Prose written to impress gets skipped, however well it reads to a human.
Structured data everywhere
Code that tells a machine exactly who you are, what you do, where, and for how much, validated against Google’s own testing tools.
Entity consistency
Your name, services, address, and claims have to agree everywhere they appear. Engines cross-check your site against your Google Business Profile and the directories before they risk citing you.
Review depth
Volume, recency, and wording all count. “Great service” does almost nothing. A review naming the service and the town does a lot.
Being checkably real
Verifiable facts, real photos, named people. The engines are getting good at telling a working firm from a content farm.
The question
Who’s the best design-build firm near Bethesda?
The answer
Three names come up for that.
Your firmanother firmanother firm
Picked from what it could verify, not from who ranked first.
None of this is exotic. The raw materials overlap heavily with excellent local SEO. The difference is emphasis, engineering, and being early enough that the engines learn your name before they learn your competitor’s.
What we put on the record
An engine will not recommend a firm it cannot verify. Four workstreams, one record it can check.
AI visibility baseline
We run your buyers’ real questions through ChatGPT, Perplexity, and Google’s AI, and write down who gets named today. Usually your competitors.
Site engineering for AI citation
Answer-shaped pages, structured data, entity cleanup. An engine that cannot confirm a claim quotes the firm whose claims it can.
Review and proof depth
Reviews that name the service and the town, via review management, plus case studies with the specifics engines quote.
Monitoring and iteration
The engines change monthly. We re-test the same questions on schedule and adjust, so visibility compounds instead of decaying.
What an engine can check about you
Every line is something the work puts on the record. The numeral says which workstream puts it there.
- Questionsthe ones your buyers actually ask, in your market
- Named todaywho the engines recommend right now, by name
- Identityone name, one address, one story, everywhere
- Serviceswhat you do, where, and for how much, in code
- Answersa plain answer on the page for every real question
- Vouched byrecent reviews that name the service and the town
- Named workcase studies with the numbers, names, and places
- Last checkedre-tested on schedule, then adjusted
What an engine cannot check, it treats as absent.
This service pairs naturally with local SEO: same foundations, two battlefields. Buy them together and the work compounds.
An honest note about a young field
Anyone promising you “#1 in ChatGPT” is selling something that can’t be promised: these engines don’t publish rankings and their answers shift.
What can be engineered is the probability of citation: the structure, consistency, proof, and content patterns that recommended businesses share. That’s what we build, we measure it with before-and-after testing on real questions, and we’ll show you the evidence rather than a certificate.
We hold this opinion because we practice it. The systems that run our own visibility (site structure, structured data, reviews, content) are the same ones we sell, and our own market is the first place we test what works.
Before you ask
The work of making your business one that AI engines (ChatGPT, Perplexity, Google’s AI Overviews) recommend when people ask for what you do: answer-shaped content, structured data, consistent business information, review depth, and ongoing testing.
The industry’s term for the same discipline: optimizing to be cited in generated answers rather than ranked in a list. If you see GEO, AEO (answer engine optimization), or AI SEO, they’re all circling the same job.
Yes, and the share keeps growing. More importantly for you, AI answers are also swallowing Google itself: AI Overviews now sit on top of many searches your buyers make. Ignoring it means being invisible in the fastest-growing slice of search.
It’s built on the same foundations (good structure, real proof, helpful content) with different emphasis: answers over rankings, citations over clicks, machine-checkable facts over marketing prose. Done together, each makes the other stronger.
No, and nobody honest can. What we do is engineer everything the engines demonstrably favor, measure your presence on real questions before and after, and iterate. Evidence, not certificates.
AI engines refresh their view of the web faster than classic rankings move, so cited improvements can appear within weeks, but expect a compounding curve over months, same as SEO. The baseline test gives us an honest starting line.
Local recommendation questions (“best X near Y”) are exactly where AI engines lean hardest on reviews and consistent local data, which a focused firm can win. The market is early enough that first movers in a local niche get cited disproportionately.
Find out who AI recommends in your market today.
We test the real questions buyers ask, show you who gets recommended now, and build the structure, proof, and content patterns that recommended businesses share.