AI search
Find out where AI recommends you.
We check the questions your customers ask, compare the businesses that appear, and track the results over time. Technical search work supports that research.
Apply for a service →Access and rendering
Check whether the crawlers that matter can request, render, and understand the public pages intended for discovery. Robots directives, authentication, WAF rules, status codes, canonicals, and client-side rendering all sit on this path. Most AI-invisible sites fail here first.
Evidence architecture
Organize useful, original content so entities, services, authorship, limitations, and supporting detail are visible in the page itself. Structured data must match what the visible page says, or it is noise with extra steps.
Platform controls
Decide which search and AI crawlers may access which surfaces, then apply that decision consistently across robots directives, edge controls, application behavior, and private content boundaries. Openness is a choice, and so is closure.
Live recommendation testing
Run the same buying and discovery questions directly in the major AI chats, record which brands are recommended, and preserve the exact prompt, answer, date, location, and model. Repeat the tests over time so clients can see where they appear, who appears instead, and whether the work is changing the result.
Limits
What readiness does not buy.
The industry sells certainty it does not have. We would rather publish the limits and keep your trust.
No implementation can guarantee rankings, inclusion, citations, or universal AI visibility. Anyone who promises otherwise is selling the promise.
Ordinary crawlability, useful content, technical search foundations, and public evidence remain the base layer. There is no shortcut around them.
Crawler policies and answer-engine behavior change. Readiness requires re-verification against current official sources, not a one-time certificate.
Private information should never be published merely to create richer machine-readable evidence.
Start
Tell us what you are building.
A short description is enough. You get a straight read on scope, cost, and what we would do differently, before anyone commits.
Write to [email protected] · we answer fast