The future has
room for local.
Agents are changing how people find things and get things done. Small businesses belong in that future. Here’s how we get there.
Follow the blog ↗WebMCP is reaching storefronts. Start with one safe tool
A new storefront rollout shows how browser agents may use structured website tools, and why a small business should begin with one narrow, reviewable action.
Read the story ↗An AI visit is not a customer: four numbers worth tracking
Separate crawler access, assistant referrals, received inquiries and accepted bookings to understand what AI-related activity actually means.
Read the story ↗Small businesses belong in the agent era
A neighborhood business should not need an enterprise technology team to be understood by a customer’s assistant.
Read the story ↗Being discovered is only half the job
An assistant can mention your business and still have no reliable way to request your service.
Read the story ↗AI shopping is growing. What does that mean locally?
Adobe’s retail data is a useful signal, but it is not a forecast for your restaurant or service business.
Read the story ↗llms.txt: a useful map, not a magic switch
A concise guide can help compatible agents navigate your information. It cannot make inaccurate information useful.
Read the story ↗Your restaurant is more than a menu
Occasions, portion rules and service details can help an assistant understand when your restaurant is a good fit.
Read the story ↗Your contact form is a good first agent project
A complete inquiry can be valuable before you automate scheduling, pricing or payment.
Read the story ↗Open protocols should make participation easier
Shared interfaces are promising. A small business still needs a useful service, clear permissions and a tested integration.
Read the story ↗Helpful agents need clear permission
A request, a reservation and a payment are different commitments. Your website should make the boundaries clear.
Read the story ↗Test the answer. Then test the action.
A convincing response is not enough. Useful evaluation checks the facts, the sources and the resulting request.
Read the story ↗A first-month plan for an agent-ready website
Four focused steps can turn an abstract AI project into a small, reviewable business experiment.
Read the story ↗