Researching how businesses get discovered by AI.

What we're seeing

AI recommendations appear to depend on much more than traditional ranking position. Systems need to understand what a business does, where it operates, whether it is relevant to the exact request, and whether enough trustworthy information exists across the web to support recommending it. Businesses with clear service information, strong third-party signals and consistent entity data tend to give an AI system more confidence than businesses whose online presence is fragmented or ambiguous.

What we're seeing

A company's own website matters, but it is rarely the whole picture. AI systems can draw on directories, review platforms, publications, industry sites and other pages that independently describe the business. This means citation visibility is partly an authority problem: the more consistently credible sources confirm who a business is and what it is known for, the easier it becomes for an assistant to substantiate a recommendation.

What we're seeing

There is no single AI ranking. Different systems retrieve information differently, use different sources and may weigh those sources differently. A business can therefore have strong visibility on one platform and weak visibility on another. We think the useful goal is not to optimise for one model in isolation, but to build an online presence that is sufficiently clear and authoritative to travel across multiple discovery systems.

What we're seeing

Reviews appear to matter both directly and indirectly. They provide evidence of reputation, reveal what customers repeatedly associate with a business and create signals across platforms that AI systems can retrieve. Raw review volume alone is unlikely to explain visibility, though. Recency, consistency, subject matter and the authority of the platform carrying those reviews can all change what the wider web appears to know about a company.

What we're seeing

Probably, and this is one of the clearest principles behind our work. When a company's name, services, locations, positioning and other core facts are described consistently across its own site and third-party sources, there is less ambiguity for a system to resolve. Conflicting or thin information makes it harder to establish what the business actually is and when it should be considered relevant.

What we're seeing

The two are connected, but they are not the same thing. Strong search visibility can make useful information easier to discover and can strengthen the web signals AI systems rely on, but appearing prominently in search does not guarantee recommendation inside an AI answer. AI discovery adds another layer: the system must understand the business well enough, and trust the available evidence enough, to actually include it in the answer.