Brands Getting Omitted
- A marketing report found top brands are sometimes omitted from AI search results, reducing predictable visibility. - The piece frames AI search as a ranking and recall problem, not just a user‑interface change. - It recommends brand visibility audits and volatility metrics to track mentions across generative search surfaces (adgully.com).
A new marketing report says strong Google rankings no longer guarantee a brand will appear in artificial intelligence search answers, where even category leaders can be left out. (adgully.com) Sonali Ramaiya, founder of Roarrr Media, wrote in Adgully on April 18, 2026 that brands are discovering a gap between classic search visibility and whether tools like ChatGPT, Gemini, or Perplexity actually mention them in generated answers. She described the problem as one of “recall” and selection inside answer engines, not just website ranking on Google. (adgully.com) Google says its artificial intelligence features do not use a separate set of rules for inclusion: the company’s Search Central documentation says standard search requirements and “helpful, reliable, people-first content” still apply. The same page also says AI Overviews and AI Mode can use “query fan-out,” meaning the system runs multiple related searches across subtopics and data sources before assembling an answer. (developers.google.com) That makes AI search behave less like a fixed top-10 list and more like a stitched summary built from several retrieval steps. Google’s July 2024 explainer says AI Overviews are designed to surface information backed by top web results, but the links shown can differ because the system combines generative models with existing ranking systems and the Knowledge Graph. (static.googleusercontent.com) Microsoft has pushed the same answer-first model into Bing. In an April 4, 2025 post launching Copilot Search in Bing, Microsoft said the product “blends the best of traditional and generative search,” generates curated answers, and shows a list of links used to produce them. (blogs.bing.com) The result for marketers is that visibility now depends on whether a model retrieves, trusts, and names a brand while composing an answer. Ramaiya’s article says brands need audits that test prompts directly across generative search surfaces, rather than relying only on rankings, traffic, or share-of-voice reports built for the older list-of-links web. (adgully.com) Outside studies cited by search marketers point to the same volatility. AirOps said in a September 23, 2025 report based on 800 queries and more than 45,000 citations that only 30% of brands stayed visible in back-to-back responses, while about 57% of brands that disappeared later resurfaced in another run. (airops.com) Semrush reported a related pattern in a 2025 visibility study: Wikipedia and Reddit often outranked official brand sites in artificial intelligence citations, and company websites “rarely appear” among top source lists in some categories. That finding helps explain why a well-known brand can be commercially large yet still absent from an answer generated from third-party sources. (semrush.com) Google has argued that AI Overviews can send users to a wider range of sites. At Google I/O on May 14, 2024, the company said links inside AI Overviews get more clicks than a traditional listing for the same query and that users were visiting a greater diversity of websites for complex questions. (blog.google) The fight for visibility is now less about holding one rank and more about being consistently retrieved across many answer engines and many runs of the same prompt. That is why the new advice centers on repeated brand checks, citation tracking, and volatility measures instead of assuming a strong search position will keep a brand in view. (adgully.com)