This put up was sponsored by Victorious. The opinions expressed on this article are the sponsor’s personal.
A yr into the shift towards AI search, the advertising and marketing business is filled with assured takes concerning the components that impression AI visibility. However we’ve seen little or no knowledge to assist generally held assumptions.
We wished to see what correlations we may discover between conventional search efficiency and AI mentions and citations. So we constructed a examine to see if we may uncover evidence-based suggestions from the info.
The Research Methodology: Evaluating Conventional Search vs. AI Search Efficiency
To check how manufacturers carry out in conventional search versus AI search, we would have liked a dataset that captured each indicators for a similar corporations throughout the identical time frame.
We constructed it out in 4 phases.
Step 1: Decide The Model Set.
We chosen a consultant cross-section of 177 manufacturers throughout 5 verticals: healthcare, SaaS, monetary companies, ecommerce/retail, and authorized companies.
Step 2: Seize The AI Visibility Sign.
For every model, we examined vertical-specific prompts throughout eight AI platforms: ChatGPT, Perplexity, Gemini, Google AI Overview, Google AI Mode, Microsoft Copilot, Claude, and Meta AI. That gave us 107,011 AI responses to investigate.
For each response, we recorded two issues: whether or not the platform named the model (point out), and whether or not it linked to the model’s area as a supply (quotation).
Step 3: Pull The Natural Efficiency Information.
For a similar 177 manufacturers, we tracked domain-level natural efficiency in Semrush throughout the first quarter of 2026, together with visitors developments and Authority Scores.
Step 4: Cross-Reference The Two Datasets.
We joined the AI visibility knowledge with the natural knowledge so each model had three comparable measures: point out fee, quotation fee, and Authority Rating. That construction allow us to take a look at the connection between conventional rating indicators and AI visibility, and whether or not these components had been roughly associated throughout the completely different verticals.
Why We Tracked Point out Charge & Citations Individually
One metric doesn’t seize AI visibility, so we tracked each point out fee and quotation fee as separate indicators. For instance, a model may be talked about typically and cited hardly ever, or cited typically and infrequently talked about. Monitoring each individually, relatively than collapsing them right into a single “AI visibility” rating, ended up being central to the nuances we may pull from the completely different verticals.
Discovering 1: Most Manufacturers Have No AI Mentions At All
Of the 177 manufacturers in our dataset, solely 18 had any AI point out fee above zero in Q1 2026. Meaning 89.8 percent of the brands we tested were largely absent from AI search throughout the eight platforms we measured. They weren’t talked about. The manufacturers weren’t surfaced in relation to solutions, as sources, or examples.
This runs counter to a whole lot of the present business chatter, which treats AI visibility as a race that’s already effectively underway. Our knowledge exhibits a really completely different image. For an awesome variety of manufacturers, the race hasn’t but begun.
The truth that solely 18 of the 177 manufacturers in our analysis registered any AI mentions in any respect signifies that manufacturers prepared to take AI visibility critically now will probably be competing towards a small variety of incumbents of their vertical, not towards the whole class.
Discovering 2: AI Visibility Patterns Range By Vertical
As soon as we broke the info down by vertical, three distinct patterns emerged.
Talked about & Cited: Healthcare, SaaS & Monetary Companies Manufacturers
Manufacturers inside these three verticals had been constantly talked about and cited, however for various causes. Healthcare manufacturers profit from clear entity identifiers reminiscent of names, places, specialties, and community affiliations, which reinforce the indicators that AI platforms use to guage experience and authority. SaaS manufacturers are generally featured on third-party platforms reminiscent of G2, Reddit, and LinkedIn, the place merchandise are mentioned by customers and reviewers. Monetary Companies advantages from sturdy editorial media presence on platforms like MarketWatch, Bankrate, and NerdWallet, that are widespread sources AI platforms flip to for monetary questions.
Monetary Companies was additionally the one vertical the place quotation barely exceeded point out, which suggests AI platforms belief the content material barely greater than it trusts particular manufacturers but.
In every case, the manufacturers that present up have one thing AI platforms can connect the model identification to: structured knowledge, third-party validation, or editorial protection. The manufacturers that don’t present up normally lack a number of of these.
Talked about Extra Than Cited: Ecommerce & Retail Manufacturers
Ecommerce posted the widest hole in our dataset. AI platforms acknowledge these manufacturers however pull their supply materials from elsewhere, normally marketplaces, aggregators, and evaluation websites relatively than the manufacturers’ personal domains.
For these manufacturers, recognition comes from market presence and shopper familiarity. The larger problem for ecommerce manufacturers is giving AI platforms content material price citing on their very own area, as a substitute of leaving the sector to Amazon, Reddit, and evaluation aggregators.
Cited However Not often Talked about: Authorized Companies
Authorized companies posted the inverse sample as ecommerce manufacturers. AI platforms often supply content material from authorized websites, however they hardly ever credit score the agency behind the article.
Closing that hole means constructing the entity indicators that join a bit of content material again to a recognizable agency.
Findings 3 – 4
Every AI platform attracts from a special set of sources.
ChatGPT, Perplexity, Gemini, and Copilot present preferences for particular kinds of content material. The full report breaks down mention rates by platform and vertical, so you possibly can give attention to the AI platforms your patrons really use.
Personalization could also be compounding early AI visibility.
Google’s Private Intelligence replace pulls indicators from a person’s Gmail and Pictures into AI Mode responses, biasing outcomes towards manufacturers the person has already encountered. If that impact holds, manufacturers that win a person’s first AI interplay on a subject may compound their visibility quicker than later entrants. The complete report walks by means of what we’re watching in Q2 to check this.
Key Takeaway
In case you take away nothing else from this knowledge, keep in mind that you haven’t misplaced first-mover benefit. With solely 18 of the 177 manufacturers we measured incomes mentions AI search, there’s nonetheless white area in your vertical ready to be claimed.
You’ll be able to read the full Q1 2026 Quarterly Search Report on our web site.
Picture Credit
Featured Picture: Picture by Victorious. Used with permission.
In-Publish Pictures: Pictures by victorious. Used with permission.
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