AI Visibility for Ad Tech
AI is deciding which ad tech companies get evaluated. Most companies are not in the conversation.
Faro Index is an AI visibility practice for the programmatic advertising industry. We track how ChatGPT, Perplexity, and Gemini recommend ad tech companies and deliver the structural fixes that increase citations. We work exclusively with SSPs, DSPs, retail media networks, identity resolution providers, data clean rooms, and measurement companies.
We audited 50 companies across the programmatic ecosystem. 75% have zero structured data. The companies AI recommends are not the best. They are the easiest to parse.
When an enterprise buyer asks AI which platforms to evaluate, your company should be in the response. If it is not, you are losing consideration before the RFP. We find out why AI is ignoring your content and give your team the exact fixes to change that.
50
Companies Audited
75%
Invisible to AI
62%
Content Too Complex for AI
$500K-$4M
Annual Revenue at Risk
What We Do
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We monitor how AI platforms recommend companies in your category every week. You see where you stand and who is ahead of you. We track across ChatGPT, Perplexity, and Gemini with competitive benchmarking against the companies you care about most.
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We crawl your site and measure what AI can and cannot extract. You get a branded report showing exactly what is broken and how to fix it. The report includes a prioritized implementation plan with specific technical fixes ranked by expected impact on your AI citation frequency.
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We deliver the technical specs your engineering team needs. Schema markup code, readability targets, and content restructuring guidelines. No rewrites. No guesswork. Just the fixes, ranked by impact. Most companies see measurable citation movement within 60 days.
What We Found Auditing 50 Ad Tech Companies
We looked at 50 ad tech companies across SSPs, DSPs, retail media, identity, and measurement. The results were consistent regardless of company size or funding.
Companies managing billions in ad spend had zero AI citations. Companies with strong case studies and named enterprise clients were completely invisible. Meanwhile, competitors with weaker products were getting recommended simply because their sites were easier for AI to read.
The pattern is the same everywhere: the gap is structural, not editorial. The content is fine. The delivery infrastructure is not.
Public companies with rich technical markup scored the worst on readability. Venture-backed platforms with PepsiCo and Dentsu as clients had zero structured data. Early-stage companies with the most readable content in the dataset lacked any schema to surface it. The problem crosses every segment of ad tech and every company size.
“The companies AI recommends today are not the best. They are the most parseable.”
Do you have this problem?
Open ChatGPT. Search for your category. If your company does not show up, we should talk.

