TL;DR: AI models don't just read what your data says — they evaluate whether they can trust where it came from. Brands that implement verified data (Brand Certified Facts) send a machine-readable provenance signal to LLMs, which drives measurable lifts in citations and clicks across AI search platforms.
If your organic traffic is harder to map than it used to be, you're not alone.
Most brands respond by producing more content, refreshing pages, or trying the latest SEO tactic. But when it comes showing up in AI search — i.e., being part of the AI-generated answers that influence customer actions in an increasingly zero-click world — this visibility gap isn't a just content problem. It's also a trust problem.
That's because AI models don't evaluate pages the way traditional search engines do. When a large language model (LLM) generates an answer about your brand, it's making a judgment call: can I truly trust where this data came from? And if your brand data doesn't carry a clear, machine-readable signal of origin, you're at a structural disadvantage — regardless of how good the content is.
In other words, the question for marketing leaders is no longer 'how do I rank?'. It's 'how does an LLM know it can trust what it finds about my brand?'
What 'data provenance' means — and why AI cares
The answer starts with understanding data provenance.
Data provenance is the verifiable record of where a fact came from, who produced it, and when. Think of it as process documentation for your data — like the way a lab result comes with a record detailing where the sample was collected and how it was handled.
AI systems work similarly. When a model generates an answer citing your brand's hours, location, or services, it's weighing the reliability of its source. A fact with a verified origin carries more weight than one that's been scraped, aggregated, and passed through a dozen intermediaries.
That's all fairly technical. But it's impactful to marketing leaders when they can take action to improve their brand's data provenance — and boost their visibility as a result.
What Brand Certified Facts really are (and how they work)
That leads us to why we created Brand Certified Facts (BCF).
Brand Certified Facts uses a type of code in a completely new way—one that Yext created—to signal a brand's official business information directly to search engines and AI - and it's baked right into Yext Pages. The signature confirms the data came directly from your brand and was set at a specific point in time.
Essentially, it's an infrastructure layer that makes your data more authoritative and more citable wherever it's used.
Missed our post from the launch of Brand Certified Facts? Catch up here.
What the research actually shows
Curious about how much data provenance really matters for brands — and how much of a difference Brand Certified Facts can really make? We were too.
To test it out, Yext ran controlled A/B tests on Location.com between October 2025 and January 2026, deploying BCF on 80% of directory pages and keeping 20% without it. The results: pages with BCF saw a 37% click lift on Yahoo, a 35% lift on Bing, and a 9.2% lift in Google Gemini citations.
So, the answer is: it matters a lot.
Now, Bing and Yahoo aren't where most brands focus their visibility efforts, but both power AI-driven experiences. (In fact, case studies show that for ChatGPT, presence on Bing can matter even more than Google SERP.) Both showed the strongest response to verified data — a good sign for brands.
The 9.2% lift on Google Gemini is significant for a different reason. Even where traditional search hasn't fully reflected these trust signals yet — traditional Google search showed a more modest 1.9% improvement — Google's AI products already are. That gap will close, and brands building verified data foundations now will be ahead of it.
Next steps: how to increase your brand's trust signal to LLMs
Three things matter most in this new search landscape:
Making your data authoritative at the source
Publishing it everywhere AI systems can find and cite it
Verifying its origin with a machine-readable signal that LLMs can understand and trust
Yext Pages handles all three: building AI-ready local pages backed by theYext KnowledgeGraph and signed with Brand Certified Facts. Location.com amplifies that content. Finally, Yext Scout lets you track where AI is — and isn't — citing your brand, giving you the insights you need to continually adjust and improve over time.
Attribution models are being rebuilt around provenance. As AI search grows, the brands that have invested in verified data will have a foundation that keeps getting more valuable.
Click here to learn more about how to get your pages ready for AI search.
