Buyers are beginning their research inside AI tools before they visit websites, compare vendors, or speak to sales. If your company is missing from those answers, the opportunity may be lost before it ever appears in analytics.
The FCP AI Visibility Diagnostic gives you a scored view of how visible, accurate, and referenceable your company is in AI-assisted buyer research.
Take the Diagnostic →AI-assisted research creates an invisible part of the buyer journey. A buyer can ask ChatGPT, Perplexity, Google AI, or another AI tool who to consider in your category without ever visiting your site. If you do not appear, or if the answer describes you inaccurately, there is usually no analytics event to show what happened. The diagnostic is built to make that hidden layer visible.
The score is not a generic SEO score. It looks at the conditions that help AI tools identify your company, understand what you do, connect you to the right buying questions, and trust the signals around your business enough to include you in a recommendation.
Whether AI tools surface your company when buyers ask for providers, examples, options, or recommendations in your category.
Whether AI tools describe your positioning, target customer, service category, and offer in a way a buyer would recognise as accurate.
Whether your company appears in AI-generated shortlists and comparisons when buyers move from broad research to provider evaluation.
Whether AI tools can find credible external signals around your company, including citations, third-party mentions, thought leadership, and professional profiles.
Whether your website and content are structured clearly enough for AI tools to parse, summarise, and reference without distorting the offer.
Your company is easier for AI tools to identify, explain, and recommend. Buyers are more likely to see an accurate description of your offer, and AI-generated shortlists are more likely to include you when the prompt matches your category.
The issue is usually structural. AI tools may not associate your company with the right category, may describe you using outdated or incomplete information, or may lack enough external evidence to recommend you confidently.
Ten minutes. Immediate results. No sales call required.
Start the Diagnostic →What the diagnostic measures, who it is for, and how to use the result.
The FCP AI Visibility Diagnostic is a structured self-assessment for understanding whether AI tools can find, describe, and recommend your company. It scores five dimensions: AI Discoverability, Accuracy of Description, Category Presence, Authority Signals, and Structural Legibility. The result shows where your AI presence is strong, weak, or likely to be misrepresented.
It is designed for founders, commercial leaders, and marketing teams who depend on being discovered, understood, and shortlisted before a buyer makes contact. It is especially relevant for professional services, advisory, B2B, and specialist companies where credibility and category clarity matter.
The diagnostic takes approximately ten minutes. It consists of 25 questions across five dimensions, each with four response options. Results are generated immediately upon submission.
Your results include an overall AI Visibility Score from 0 to 100, a score for each dimension, a classification band, and a short set of recommendations. The score is intended to show what to fix first: discoverability, description accuracy, category presence, authority signals, or structural legibility.
Yes. The diagnostic is free to complete. You will be asked for your name, company, email, and primary market before your results are displayed. This allows Full Court Press to provide relevant follow-up and ensures results are matched to your specific context.
Start with the lowest dimension score. If discoverability is low, AI tools may not associate you with the right category. If accuracy is low, your positioning may be unclear or inconsistent. If authority or structural legibility is low, the issue may sit in external proof, schema, content structure, or the way your offer is described across the web.
The diagnostic is designed to separate visibility problems from description problems. Some companies are missing from AI answers entirely. Others appear, but are described in a way that weakens the buying case.
AI tools draw from a mixture of model knowledge, retrieved web content, citations, structured data, and repeated external signals. Your company is more likely to appear when the market category, buyer problem, offer, and proof points are expressed consistently across sources.
Search visibility is mostly about whether a page ranks for a query. AI visibility is about whether an AI system can understand your company well enough to include it in an answer. That depends on clarity, consistency, structured information, and credible external evidence.
