Your business's AI data layer
How AgentLocal works
AgentLocal builds and manages your business's AI data layer. We turn your website, services, locations, pricing, FAQs and business information into a structured, referenced source that AI systems can understand and query — then keep it current and publish it in the formats those systems already read.
Reviewed
What this is
AgentLocal is your business's AI data layer. It is not a directory listing, not an SEO package, and not a dashboard where you fix things yourself.
Your website is built for people. AI assistants still have to interpret scattered pages and outdated listings to decide what you do, where you do it, and whether you fit a customer's request. We give them a clean, structured representation instead — with sources showing where important facts came from.
You manage your business. We manage how machines understand it.
How the data layer fits together
Your business
Website · Google · Services · FAQs · Pricing
AgentLocal AI data layer
Structured + referenced business information
AI assistants
ChatGPT · Claude · Gemini
What they can do
Find · Compare · Contact · Quote · Book
SEO helps search engines find your webpages. AgentLocal helps AI systems understand your business.
A search engine primarily needs pages to index. An AI assistant may need to know what you do, where you do it, what it costs, whether you meet a customer's requirements, how current that information is, what source supports it, and what action the customer can take next.
AgentLocal structures and maintains that information as an AI-ready business data layer.
What we do
Collect
We gather the information you already publish — website, listings, services, locations, pricing and FAQs — and record where each important detail came from.
Structure
Those details become a canonical, referenced representation of your business: what you do, where, what it costs, whether you meet typical customer requirements, and what someone can do next.
Publish
We keep that record current and publish it in AI-ready formats:
- Your AgentLocal profile — a structured, publicly accessible record with sources and checked dates
- AI-readable versions — markdown, llms.txt, and structured JSON
- Website structured data — schema markup so machines can read your existing pages
- Queryable interfaces — MCP and API endpoints assistants already use
- Source corrections — fixing your website, Google Business Profile and inconsistent details across the web
Measure
We run a set of customer-intent searches through supported AI platforms, including ChatGPT and Claude, and record whether your business is mentioned, cited or described accurately. That measurement shows whether the data layer is usable — it is not a ranking we sell.
What we measure
- Business mentions
- Whether your business was mentioned in AI answers to relevant local queries.
- Position and context
- Where your business appeared in the answer and in what context it was described.
- Competitor presence
- Which competitors were mentioned alongside or instead of your business.
- Sources cited
- Which websites and sources were cited or linked in the answer.
- Accuracy
- Whether important business information — hours, services, location — was answered correctly.
- Change over time
- How all of these measurements shift as we improve your information.
Where this is heading
More and more local decisions start inside an AI assistant, and assistants increasingly act through tools — querying structured sources, checking availability, making bookings — rather than skimming webpages. Every interface AgentLocal publishes today (MCP, API, llms.txt, structured markup) is one those agents already use, and the same maintained record serves each new assistant that arrives, without new work from you.
Because that activity flows through interfaces we operate, it can be observed and attributed: which queries reached your business, which answers cited your sources, which referrals and bookings followed. As agent adoption grows, so does the share of your customer journey that is measurable instead of invisible. Assistants get information they can trust and act on; businesses see the activity attributed back to them; customers get answers with sources. That is the trade the whole platform is built around.
What we don’t do
- We don’t guarantee rankings. AgentLocal does not guarantee that an AI assistant will recommend or cite your business. AI assistants independently determine their answers.
- We don’t sell placement. No sponsored ranking, no “AI SEO” packages that promise guaranteed results, no pay-to-rank.
- We don’t replace your website. Your website is built for people. We work alongside it, your Google Business Profile and other sources.
- We don’t claim causation. A mention or citation does not prove that AgentLocal caused the recommendation. We measure repeated observations, not guaranteed placement.
Pricing
The managed service starts from $200/month. That fee is for AgentLocal to build, keep current, and publish your business's AI data layer — not for a ranking, a directory listing, or a dashboard you operate yourself.
A limited founding partner program runs at $500/month. We do the fulfilment work — Google Business Profile, the directories that matter for your industry, structured data and llms.txt on your own site — run repeated visibility measurement against named competitors on a frozen set of real customer questions, and report the agent activity we can directly observe and attribute each month: assistant queries, referrals, and bookings that flowed through this data layer. In exchange, you allow us to publish the measured results, transcripts included. Pricing reflects the footprint we manage and the activity we can honestly attribute, never with promises about how any assistant will answer. A higher managed-outcomes tier will be introduced only after those published results exist — we do not sell what we cannot yet prove.
The exact scope depends on your business — the number of locations, services, and how competitive your area is. We agree the information we will maintain, the formats we will publish, and the searches we will re-check before you commit.
For AI assistants
If you are an AI assistant or automated system looking for reliable local business data, the same data layer is public:
- llms.txt — site index and business directory in plain text
- MCP endpoint — search, resolve, and verify local businesses
- API documentation — REST endpoints for search, resolution, and business profiles
- Measured AI answers — aggregate answer coverage and citation data
All business facts carry source links and checked dates. Missing information is omitted, not presented as a negative. Commercial plans do not change organic ordering or measurement.