Yext Research

The data behind local AI and search visibility

Quarterly benchmarks, industry deep dives, and original research on how brands get discovered, cited, and chosen in AI search – by consumers and the agents acting for them.

Topics Vary · Bespoke Research

Original research from our team

Methodology papers, technical write-ups, and one-off investigations from the Yext Research team. Published whenever we have something worth saying – not on a fixed schedule.

AI Citations · Updated quarterly

How AI cites your business

Cross-model benchmarks across OpenAI, Perplexity, Gemini, and Claude. We classify every cited URL into four control categories and track the share each quarter.

Past Issues

What is Yext Research

Research built on data no one else has access to

Yext Research runs on the same measurement infrastructure as Scout -- 10+ billion data points across 12 million business locations, observed across four AI models and traditional search. The output: quarterly benchmarks, methodology papers, and industry deep-dives that surface what's actually happening as AI agents reshape how customers find and choose brands. Evidence, not theory.

Why does this matter?

Most data on how brands get discovered across AI comes from small samples, scraped queries, or surveys. None of it captures what happens at enterprise scale – across millions of locations, every major AI model, and the moment an agent picks one brand over another on a consumer's behalf. Yext sees this from the inside, and turns that visibility into the only ongoing program of benchmarks, methodology, and industry research built on real performance.

Partner Program · By application

Yext Research Partners

Great research is a team effort. That's why we're working with some of the brightest minds in the industry. If accepted into the program, Yext Research Partners can:

Access our enterprise-scale local search dataset

Collaborate with our research and engineering teams

Publish independent findings that move the industry forward

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See what’s changing in search, grounded in real user behavior.