We owned AI search before anyone else saw it coming. Right now, your company is either leading because of AI — or about to fall behind because of it. The window to get ahead is open. We get your company ready for the opportunity, because that's what it is.
Three published books. Nine industries. A framework the rest of the field is still catching up to.
While the industry caught up to the idea that AI was about to rewire how businesses get found, evaluated, and recommended — we were already building the framework. Running it on real companies. Documenting what worked.
That history matters because it changes what we offer. No generic online courses. No templated playbooks. Every engagement starts with research, runs through a full analytical process, and ends with systems your business actually operates on.
If your company has the credentials, the track record, and the team — and you're trying to figure out what AI means for the next decade of growth — that's the conversation we're built for.
Most engagements draw from more than one. The architecture is designed that way on purpose.
The thinking layer. Discovery, competitive research, 30/60/90 roadmaps, and the analytical work that determines what should be built before anything is built.
What this looks likeThe foundation that makes strategy operational. Website architecture, structured data, technical SEO, schema implementation, and full site builds engineered for how AI systems read and recommend businesses.
What this looks likeOperational AI for businesses that need to do more than talk about it. Custom agents, content systems, automation, and the internal tooling that compounds over time.
What this looks likeThe proprietary methodology that started it all. The Layer 0–4 framework for making businesses discoverable, parseable, and recommendable by AI search — tested across nine industries.
What this looks likeThe methodology has been published, tested in the market, and refined across hundreds of engagements in nine industries.
The Layer 0–4 AEO methodology — robots.txt, schema, content, entity, citation. Built deliberately, sequentially, and designed to be operated, not just installed.
See the FrameworkActive research on how AI systems recommend businesses, the credential-visibility gap, and the economics of AI search.
Enter the Research LabFree AEO Analyzer. Run a diagnostic on your own business in under two minutes — same engine we run on clients.
Try the AnalyzerNot a list of who we'll take on — a record of where the framework has been tested, refined, and proven.
We work nationally. The engagement model is selective: a small number of clients each year, by design.
Every engagement follows the same disciplined sequence. No guesswork. No generic playbooks.
We map the business from the inside out. Revenue sources, customer behavior, competitive landscape, and the digital systems that determine how AI sees you today.
Quantitative analysis meets competitive intelligence. We identify the specific gaps between your credentials and your visibility — and quantify what those gaps cost you.
Your 30/60/90 day roadmap. Custom-built frameworks, prioritized by impact. Every recommendation specific to your constraints, your market, and your goals.
We build the systems, not just the strategy. Infrastructure, structured data, content architecture, and AI integration designed to make your business operate on what we recommended.
PT Collins is the Managing Partner of Collins Tech. Twenty-five-plus years across strategic consulting engagements, and the author of three published works on AI-era business strategy.
Collins Tech developed the proprietary AEO framework and the credential-visibility gap research. Based in St. Petersburg, Florida — working nationally.
That's the conversation.
ptcollins@collinstechflorida.com