Show up the way you intend, where people actually search.
AI visibility is reputation work. Customers, candidates, and business partners are increasingly using AI to learn about you before you're in the room. If you don't surface when someone asks about your category—or what surfaces is inaccurate—you risk being left out of the consideration set.
Let's talkInvisible Things' Generative Visibility diagnostic is the practice of understanding and improving how you and your brand appear when people ask AI engines like ChatGPT, Claude, Perplexity, Google AI Overviews, and Gemini about a category, a company, or a person. It looks at areas that help inform PR and communications strategy, such as citation authority, visibility strength, and top narratives.
This service is part of the GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), or LLM Visibility space.
The earlier you understand where you stand, the more time you have to strengthen the signals shaping how AI sees and surfaces you.
Most AI-visibility tools audit domains. This assessment measures the founder and the company woven together, across two axes: Reputation — what authoritative sources establish about you. Visibility — what AI engines actually surface and how accurately.
I check whether your point of view surfaces for the topics you want to own, whether AI describes you accurately or has drifted, whether strong coverage is being picked up and cited, and whether the AI picture of you is current or lagging. Reading what the data means, and what to do about it, is the work.
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A diagnostic across the major engines.
Category, competitive, and brand-and-founder prompts across ChatGPT, Claude, Perplexity, Google AI Overviews, and Gemini offer a comprehensive picture of how AI currently describes your category, your competitors, and you.
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Verified, not just scraped.
Major claims AI makes about you are checked against authoritative sources before it's scored, so the report reflects reality, and the gap between what AI says and what's true becomes a finding in itself.
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Prioritized recommendations.
A short, prioritized list of the moves most likely to improve how you show up: the content to develop, the structured data to implement, the citation sources to strengthen, and the associations to build.
This is an emerging field, so every assessment blends industry-specific AI tools, systematic citation extraction, verification against authoritative sources, and senior human analysis. Findings are interpreted, not just generated, and every report names its limits.
- Audio and video build reputation but reach AI engines only where there's text around them; without transcripts, they can be under-represented.
- Paywalled coverage is verified for existence and attribution, not reproduced.
- Recency is weighed differently by each engine and never disclosed, so findings are a snapshot under fixed conditions, not a permanent ranking.
- AI sometimes states things that aren't true; every claim is checked against authoritative sources, and only confirmed or corrected ones are scored.
- The method is refined continually as the engines evolve, and every report is explicit about where the picture is firm and where it’s still developing.
What is GEO?
GEO (Generative Engine Optimization) is the practice of improving how content is cited or quoted by generative AI engines like ChatGPT, Claude, and Perplexity. The term emerged from research at Princeton University and collaborators in 2024. It’s roughly synonymous with AEO (Answer Engine Optimization) and LLM Visibility.
How is this different from SEO?
SEO optimizes for ranking on a results page. Generative Visibility optimizes for being cited — and described accurately — by AI engines that synthesize answers. A site can rank #1 on Google and still be invisible, or misrepresented, when ChatGPT answers the same question.
Do AI engines really shape buyer behavior yet?
Increasingly yes, especially in B2B and high-consideration purchases, where customers research with ChatGPT, Perplexity, and AI Overviews alongside traditional search. The share varies by category, but the trend line is consistent.
What happens after the assessment?
You receive prioritized recommendations and the Visibility Framework as a working tool. Implementation is yours — through your content team, your SEO partner, or with my Counsel. A re-assessment to measure progress is available.
Why is the audit set up this way?
AI doesn't guess who the expert is. It reads signals. Citation density, entity associations, source authority, structural markup. You can't keyword-stuff your way in; AI synthesizes across many sources, so the work is being credible across enough of them that the model reaches for you.