AI systems are deciding who gets recommended to investors, partners, and customers. Most organizations assume they are visible. Most are structurally invisible.
I conduct Cross Platform AI Authority Reports that diagnose how ChatGPT, Claude, Gemini, Perplexity, and Manus currently evaluate your organization. The Trust Triangle Framework shows exactly where authority signals break and what needs to change.
Work With NicoleWhen someone searches your exact name, you might show up. That is being listed.
When they ask AI "Who should I trust for [your service] in [your area]?" and AI suggests you with reasons why, that is being recommended.
Most organizations are only listed. Here is what that actually looks like:
The Trust Triangle ensures you are recommended, not just listed.
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AI search engines evaluate three factors when deciding who to recommend:
Are you recognized as the verified expert in your industry? AI systems look for consistent, structural signals that confirm your expertise across multiple sources.
Does your digital data signal trust, stability, and integrity? AI systems evaluate whether your organization's signals are strong enough to justify recommending you to someone who needs what you provide.
Do authoritative sources and publications reference you? Third party citations tell AI systems that your authority is verified by entities other than yourself.
Without all three, you are just another option in a list.
With all three, you become the answer AI recommends with reasons why.
Right now, investors, partners, and customers are asking AI:
"Which US based lithium companies use sustainable DLE technology?"
"Who is the best orthopedic surgeon in my area?"
"Which infrastructure partners are compliant with 2026 regulations?"
"Who should I trust for executive coaching in healthcare?"
AI gives them ONE answer. Or maybe three.
If you are not in that answer, if your competitor is being recommended instead, you are losing deals you do not even know about.
They never visit your website. They never call. They just proceed with whoever AI recommended as the trusted authority.
SEO ranks web pages in Google's list of ten blue links. AI authority determines whether AI systems trust your organization enough to recommend it by name.
You can have a beautiful website with strong Google rankings and still be completely invisible to AI systems.
Google ranks pages. AI evaluates entities. Different system. Different signals. Different outcome.
A systematic audit across five major AI platforms that answers one critical question: When someone asks AI about your industry, do you show up?
ChatGPT, Claude, Gemini, Perplexity, and Manus. Each has different architecture. Where they agree, the finding is near certain. Where they diverge, the difference reveals something important.
First, what AI knows from its training data (your baseline visibility). Second, what AI can find when it actively searches (the gap between what exists and what AI sees).
The actual questions your investors, partners, and customers are asking AI. Not generic keywords. The specific queries that determine whether capital flows to you or your competitor.
Not a marketing plan. A structural correction document showing exactly what needs to change, where, and in what order. No new content creation. No ads. No additional hires.
I conduct Cross Platform AI Authority Reports for organizations in capital intensive industries that need to understand how AI systems currently evaluate them.
Most organizations assume they are visible. Most are structurally invisible.
AI systems like ChatGPT, Claude, Gemini, and Perplexity are increasingly how investors, partners, regulators, and customers verify credibility. When someone asks AI who leads lithium innovation in Arkansas, or who the best orthopedic surgeon is in their city, or which infrastructure partner is structurally ready for a contract, AI gives one answer. Maybe three. If you are not in that answer, you are losing opportunities you will never know about.
My reports diagnose where AI recognizes you and where it does not. Where trust signals break. Which revenue impacting queries you are missing. And what structural changes are required to become the recommended source.
I spent over 20 years building digital systems for high stakes industries. I watched capital intensive organizations start becoming invisible because their data was not structured for the way AI systems evaluate authority. This is not about marketing. This is about whether AI systems trust your organization enough to recommend it when the stakes are high.
The Trust Triangle Framework (Authority, Recommendability, and Citation) defines what AI systems evaluate when deciding who to recommend. My methodology tests across five major AI platforms to map exactly where an organization stands and what needs to change.
This is not SEO. I diagnose whether your expertise is being trusted at the system level. Not to convince you that the system exists, but to show you exactly where it sees you, where it does not, and what to do about it.
If you are ready to stop being invisible and become the authority AI cites, start with your Authority Report.
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