Collins Tech Strategic Consulting helps established businesses nationwide become the answer AI systems recommend — not one of ten links users never click. Based in Tampa Bay; engaged across the country.
When someone asks ChatGPT, Claude, or Perplexity for a contractor, attorney, or medical practice in Tampa Bay, most established local businesses are not mentioned. The AI cites businesses with structured digital presence — regardless of whether those businesses are actually the most qualified.
This is not a marketing failure. It is a structural visibility failure. The businesses losing revenue to this shift are often the most credentialed operators in their market. They have decades of experience, industry awards, and exceptional client outcomes. What they lack is the specific digital infrastructure that AI systems require to discover, validate, and cite a business as a trusted source.
Collins Tech calls this the credential-visibility gap: the quantifiable difference between a business's real-world qualifications and its discoverability by AI systems.
Collins Tech uses a proprietary layered implementation system developed through direct experimentation and client deployment. Each layer builds on the one before it. Skipping layers — which most businesses do — is why AEO implementations fail.
Before anything else, we verify that AI crawlers can reach your site. Robots.txt misconfigurations are the number one cause of AEO failure. If GPTBot, ClaudeBot, and PerplexityBot are blocked, nothing else matters.
AI systems need to recognize your business as a distinct entity. We implement schema markup (Organization, Person, LocalBusiness, Service), establish consistent naming across authoritative platforms, and build the structured data foundation AI systems parse when assembling recommendations.
AI systems extract answers from content differently than humans read it. We restructure existing content into citation-ready formats: explicit FAQ pages with FAQPage schema, answer capsules that AI can extract directly, and service descriptions that state clearly what you do, where you operate, and who you serve.
AI systems weight businesses that appear across multiple credible sources. A business mentioned only on its own website carries less weight than one referenced across industry directories, publications, and third-party platforms. We build the cross-reference density that AI systems use to validate recommendations.
We track citation frequency across ChatGPT, Claude, Perplexity, and Google AI Overviews. AEO is not a one-time implementation — AI systems continuously re-evaluate sources, and maintaining visibility requires ongoing monitoring and adjustment.
For a detailed implementation guide, read The 14-Day AEO Framework.
General contractors and specialty firms in the Tampa Bay area losing pipeline to competitors with weaker credentials but better digital systems. When developers and property managers ask AI for contractor recommendations, structured digital presence determines who gets cited — not BuildZoom ratings or years in business. Read the construction analysis.
Tampa Bay law firms with exceptional track records but minimal AI visibility. Traditional billing constraints compound when the firm is invisible to the growing segment of potential clients who ask AI assistants for legal recommendations before searching Google. Read the credential-visibility gap analysis.
Dental and medical practices in St. Petersburg, Tampa, and Clearwater navigating single-location revenue plateaus. Generational shifts in patient acquisition — younger patients asking AI for provider recommendations — mean that practices without AEO infrastructure are excluded from an entire acquisition channel. Read the healthcare analysis.
Most of what is sold as AEO in this market cannot survive its own sales pitch. Before you hire anyone — us included — run these three checks. They take five minutes and require no tools.
Read their robots.txt. Type the firm's own domain followed by /robots.txt. If a firm selling AI visibility has not configured its own crawler access — or names only training crawlers like GPTBot while omitting the retrieval agents that actually produce cited answers — you have learned what their implementation looks like.
Check for an llms.txt. Same test, /llms.txt. In April 2026 we audited every firm advertising AEO services in Tampa Bay: zero FAQPage schema, zero AI crawler configurations, zero llms.txt files — except one.
Ask where they are. Several firms ranking for AEO searches in St. Petersburg and Tampa are running templated city pages from other markets entirely. Ask for a meeting across a table. We are in St. Petersburg; if you are in Pinellas or Hillsborough, we will come to you.
Run all three checks on us right now: collinstechflorida.com/robots.txt names thirty-five crawler agents, grouped by operator, training and retrieval separated. Our llms.txt is a complete machine-readable statement of the firm. Our structured data covers Organization, Person, Service, and FAQPage, corroborated by a Wikidata entity most agencies ten times our size do not have. We built this infrastructure to be inspected — that is what it is for. As of our April audit, we are the only firm in this market whose own systems pass the standard we hold everyone else to.
Collins Tech Strategic Consulting is headquartered in St. Petersburg, Florida. The firm was founded by PT Collins, who is a Certified NLP Coach and has over 25 years of strategic consulting experience. He is the author of The Strategic Intelligence Guide to Answer Engine Optimization, Stop Asking It For Tacos, and Don't Guess. Design.
For answers to common questions about AEO and our methodology, visit the FAQ page.
New research: We audited every Tampa Bay firm offering AEO services. See the infrastructure comparison.
If AI isn't recommending you, it's recommending your competitors.
Start a ConversationNew to this? Start with the diagnostic: Can ChatGPT recommend your business? Then see the Layer 0–4 framework the engagement follows.