90% of Brands Miss AI Search Mentions: 4 Key SEO Insights

A year into the shift toward AI search, the marketing world is buzzing with theories about what drives AI visibility. Yet, hard data has been scarce. To challenge these assumptions, we conducted a study designed to uncover evidence-based correlations between traditional search performance and AI mentions and citations.

The Study Methodology: Traditional Search vs. AI Search

We built a dataset to compare how brands perform in both arenas simultaneously. The process unfolded in four phases.

Step 1: Determine The Brand Set. We selected 177 representative brands across five verticals: healthcare, SaaS, financial services, ecommerce/retail, and legal services.

Step 2: Capture The AI Visibility Signal. For each brand, we tested vertical-specific prompts across eight AI platforms: ChatGPT, Perplexity, Gemini, Google AI Overview, Google AI Mode, Microsoft Copilot, Claude, and Meta AI. This generated 107,011 AI responses to analyze. For each response, we recorded whether the platform named the brand (a mention) and whether it linked to the brand’s domain as a source (a citation).

Step 3: Pull The Organic Performance Data. For the same 177 brands, we tracked domain-level organic performance in Semrush during Q1 2026, including traffic trends and Authority Scores.

Step 4: Cross-Reference The Two Datasets. We merged the AI visibility data with the organic data, giving each brand three comparable measures: mention rate, citation rate, and Authority Score. This allowed us to examine the relationship between traditional ranking signals and AI visibility, and how these factors varied across verticals.

Why We Tracked Mention Rate & Citations Separately

AI visibility isn’t a single metric. A brand can be mentioned often but cited rarely, or cited often but rarely mentioned. Tracking both separately, rather than merging them into one “AI visibility” score, was key to uncovering the nuanced patterns across different verticals.

Finding 1: Most Brands Have No AI Mentions At All

Of the 177 brands, only 18 recorded any AI mention rate above zero in Q1 2026. That means 89.8 percent of brands were largely absent from AI search across all eight platforms. They weren’t mentioned, surfaced as answers, or cited as sources.

This contradicts the common industry narrative that the AI visibility race is already in full swing. Our data reveals a different reality: for the vast majority of brands, the race hasn’t even started. With only 18 competitors showing up, brands that take AI visibility seriously now will face a small group of incumbents in their vertical, not the entire category.

Finding 2: AI Visibility Patterns Vary By Vertical

Breaking the data down by vertical revealed three distinct patterns.

Mentioned & Cited: Healthcare, SaaS & Financial Services Brands in these verticals were consistently both mentioned and cited, but for different reasons. Healthcare brands benefit from clear entity identifiers like names, locations, specialties, and network affiliations, which reinforce signals AI platforms use to evaluate expertise and authority. SaaS brands are commonly featured on third-party platforms such as G2, Reddit, and LinkedIn, where users and reviewers discuss products. Financial Services benefits from strong editorial media presence on sites like MarketWatch, Bankrate, and NerdWallet, which AI platforms frequently turn to for financial questions.

Notably, Financial Services was the only vertical where citation slightly exceeded mention, suggesting AI platforms trust the content more than the specific brand identity. In each case, brands that show up have something AI platforms can attach to: structured data, third-party validation, or editorial coverage. Those that don’t usually lack one or more of these.

Mentioned More Than Cited: Ecommerce & Retail Ecommerce posted the widest gap in our dataset. AI platforms recognize these brands but pull source material from elsewhere,usually marketplaces, aggregators, and review sites rather than the brands’ own domains. Recognition comes from marketplace presence and consumer familiarity. The challenge for ecommerce brands is to give AI platforms content worth citing on their own domain, instead of leaving the field to Amazon, Reddit, and review aggregators.

Cited But Rarely Mentioned: Legal Services Legal services showed the inverse pattern. AI platforms regularly source content from legal sites but rarely credit the firm behind the article. Closing that gap requires building entity signals that connect a piece of content back to a recognizable firm.

Findings 3 & 4

Each AI platform draws from a different set of sources. ChatGPT, Perplexity, Gemini, and Copilot show preferences for specific content types. The full report breaks down mention rates by platform and vertical, so you can focus on the AI platforms your buyers actually use.

Personalization may be compounding early AI visibility. Google’s Personal Intelligence update pulls signals from a user’s Gmail and Photos into AI Mode responses, biasing results toward brands the user has already encountered. If this effect holds, brands that win a user’s first AI interaction on a topic could compound their visibility faster than later entrants. The full report details what we’re watching in Q2 to test this.

Key Takeaway

If you take away nothing else from this data, remember that you haven’t lost first-mover advantage. With only 18 of the 177 brands we measured earning mentions in AI search, there’s still white space in your vertical waiting to be claimed.