Cross Platform AI Authority Reports

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.

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There Is a Difference Between Being Listed and Being Recommended

When 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:

Being Listed
  • * Someone searches your exact name and you appear
  • * No verification of your claims or credentials
  • * You are one name in a list of options
  • * AI does not explain why anyone should choose you
You are invisible when it matters.
Being Recommended
  • * Someone asks for a solution and AI suggests YOU
  • * AI explains WHY your organization is trusted
  • * AI cites your authority and credentials
  • * This is how you secure partnerships and contracts
You are the Authority.

The Trust Triangle ensures you are recommended, not just listed.

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The Trust Triangle

Trust Triangle Framework showing Authority, Recommendability, and Citation as the three pillars AI systems evaluate

AI search engines evaluate three factors when deciding who to recommend:

Authority

Are you recognized as the verified expert in your industry? AI systems look for consistent, structural signals that confirm your expertise across multiple sources.

Recommend

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.

Cite

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.

AI Is Already Deciding Who Gets The Capital

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.

This Is Not SEO

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.

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What a Cross Platform AI Authority Report Reveals

A systematic audit across five major AI platforms that answers one critical question: When someone asks AI about your industry, do you show up?

5
AI Platforms Tested

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.

2
Phases of Testing

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).

25+
Stakeholder Queries Mapped

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.

90
Day Structural Report

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.

What I Do and How I Help You.

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.

What It Is Like to Work With Nicole

Client Testimonials

Real results from real clients.

"We highly recommend working with Nicole... The newfound understanding of our business operations, brand visibility, and how we can use AI to advance our business will definitely lead to growth."

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"Nicole has a deep understanding of how to use AI automation to simplify business growth... I'd recommend her to any leader looking to modernize their client acquisition and marketing systems."

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Frequently Asked Questions

How do I know if AI search engines can find my company?
The simplest test is to ask ChatGPT, Claude, Perplexity, or Gemini about your industry without using your company name. Ask something like "Who is the leading provider of [your service] in [your area]?" If your company does not appear in the answer, or if your competitor appears instead of you, you have a structural visibility problem. Being findable when someone searches your exact name is different from being recommended when someone asks for a solution. A Cross Platform AI Authority Report tests this systematically across five major AI platforms.
What is the difference between being listed and being recommended?
Being listed means AI can find you when someone searches your exact name. Being recommended means AI suggests you when someone asks for a solution to a problem and explains why you are the best choice. When an investor asks AI "Which companies are structurally ready for 2026?" or a patient asks "Who is the best surgeon near me?", AI gives one answer or maybe three. If you are not in that answer, the person never visits your website, never calls, and never knows you exist. They proceed with whoever AI recommended.
Is AI search optimization the same as SEO?
No. They are fundamentally different. SEO ranks web pages in Google's list of ten blue links using keywords and backlinks. AI authority determines whether AI systems trust your organization enough to recommend it by name. You can rank on page one of Google and still return zero recognition across five AI platforms. Google ranks pages. AI evaluates entities. Different system. Different signals. Different outcome.
What is the Trust Triangle?
The Trust Triangle is a framework for understanding how AI search engines decide who to recommend. It has three elements: Authority (AI recognizes you as the verified expert), Recommendability (your digital signals indicate trust and stability), and Citation (authoritative sources reference you). Together, these determine whether AI recommends you or your competitor. Without all three, you are just another option. With all three, you become the answer AI recommends with reasons why.
How long does it take to build AI authority?
This is infrastructure, not overnight marketing. The typical structural correction process takes 90 days. It does not require new content creation, new platforms, advertising, SEO campaigns, rebrands, or additional hires. It is editing, reorganizing, and standardizing existing assets so AI systems can read them as authority signals. Once built, structural authority compounds over time.
What is an AI Authority Report?
A Cross Platform AI Authority Report is a systematic audit across five major AI platforms: ChatGPT, Claude, Gemini, Perplexity, and Manus. It reveals what AI knows about your organization, what it can find when it searches, what stakeholders are asking AI about your industry, and where you are or are not the recommended answer. The report is a structural analysis and diagnostic. It identifies what must change at the system level before execution ever matters.
What industries benefit most from AI Authority Reports?
Any industry where AI driven due diligence affects capital allocation, partnership decisions, contract awards, or customer acquisition. The highest value verticals include energy and infrastructure (capital intensive, stakeholder verification critical), healthcare (patients using AI to choose providers), professional services (referrals flowing through AI), and organizations dependent on third party funding (grant evaluators using AI to verify credibility).
Can AI really affect my revenue?
Yes. When investors, partners, or customers ask AI systems for recommendations and your competitor appears instead of you, you lose opportunities you never know about. They never visit your website. They never call. They proceed with whoever AI recommended. Every generic query where your organization is not the definitive answer is a missed signal to the stakeholders who control capital flow.

Education and Certifications

Licenses and Certifications
Academy Accreditation: Generative AI Fundamentals
Databricks | Issued August 2025 | Expires August 2027
Credential ID: YCTV90517651X2
Automated Financial Reporting with AI
LinkedIn Learning | Issued August 2025
Introduction to Generative AI
Google Cloud | Issued August 2025
Credential ID: VCTV03B5TFBFPI
Introduction to Generative AI Learning Path Specialization
Google Cloud | Issued August 2025
Credential ID: XWKG5990JJXKV.xt
Introduction to Large Language Models
Google Cloud | Issued August 2025
Credential ID: P3WX6M18WV3BA7
Introduction to Responsible AI
Google Cloud | Issued August 2025
Credential ID: YLVF6L3EBNN1
Responsible AI: Applying AI Principles with Google Cloud
Google Cloud | Issued August 2025
Credential ID: QNXEZ4Z6DULJZ2
What is Generative AI?
LinkedIn Learning | Issued August 2025
Education and Degrees
San Jose State University
Bachelor of Science (BS), Finance and Financial Management Services
September 1997 to June 1999
Middlebury Institute of International Studies at Monterey
International Business/Trade/Commerce
1996 to 1997
Fordham University
Political Science / International Business
1991 to 1994

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