Found on Google Maps. Cited when someone asks an AI.
People still search Google, and now they also ask ChatGPT for a plumber, a lawyer, a storage unit. Both answers come from the same raw material: pages that answer real questions, and business details that agree with each other everywhere.
- A page for every market you serve
- Business details kept consistent everywhere
- Content written to answer real questions
- Stale and thin pages flagged, then redrafted
Said on the first call, nearly every time.
- 01
“We rank in one city and nowhere else.”
Each market gets a page with its own detail, not the same paragraph with the town name swapped.
- 02
“Our location pages are duplicates.”
Location pages are generated from real per-market data, and thin ones are flagged before they hurt you.
- 03
“Our hours and address are wrong in three places.”
Business details are held once in the CMS and checked against what the site publishes.
- 04
“We have no idea if AI mentions us.”
We can show what is controllable — the pages, the entities, the citations — and are straight about what is not.
Be visible where customers ask for a nearby provider — maps, search results and AI answers.
- 01
Inventory
Markets, services, locations and current visibility. What you already rank for and what you do not.
- 02
Structure
One page per market and per service, built from location data so each one is genuinely different.
- 03
Answer
Agents research the questions buyers actually ask and draft pages that answer them plainly.
- 04
Maintain
Freshness, internal links, structured data and consistency checked on a schedule, fixes proposed to an editor.
The software behind it, not the software you buy.
The same system that publishes your site runs the search work: a crew of agents with one job each, on a schedule, proposing changes into the same approvals queue.
Agents research, draft, refresh and surface decay. A named editor owns factual accuracy, brand judgement and the decision to publish. That division is the product, not a caveat.
Where this is running today.
Every figure below comes from the live site or its sitemap at capture time. Where a client's performance data is theirs to release, we ask first and publish the baseline and the method with it.
Local + AI search hands off to Advertising.
Search tells you which demand you already capture. Advertising buys the rest of it.
Questions about local + ai search.
How do you measure AI search visibility?
By what is observable: whether the pages, entities and citations an assistant would draw on exist and agree. We do not sell a ranking number for a system that does not publish one.
What can you actually control?
Your pages, your structured data, your business details, and where you are cited. Not what a model decides to say. We work the first list.
How do you keep location pages from becoming duplicates?
They are generated from per-market data — services, areas, details that genuinely differ — and thin ones get flagged and rewritten rather than left to rot.
Is this SEO with a new name?
It is the same underlying work — pages, entities, citations, consistency — pointed at both a search results page and an assistant's answer.
Check my visibility.
We look at how you show up across maps, search and AI answers in the markets you actually serve, where your details disagree with each other, and which pages are too thin to earn an answer.
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