AI search is changing visibility, but the fundamentals of search still matter

For as long as it has existed, search marketing has operated on a straightforward premise, with search as a destination. A consumer has a question; they open a search engine, enter a query and are presented with a set of possible answers. For marketers, the objective was equally familiar: understand the query, earn the ranking and convert the resulting attention.

 

That premise is becoming harder to sustain, and the model is beginning to fracture. Not because search has stopped working, but because the way in which people search is changing. 

 

Increasingly, a customer’s first interaction with search may not happen on Google at all. The primary search may now happen in an AI assistant rather than a conventional search engine. They may ask a model to explain a problem, identify potential suppliers or compare competing products before they ever formulate a traditional search query. In some cases, the consumer may never reach Google at all, with AI handling much of the discovery and consideration process itself. This changes the fundamental position of search in the funnel, from a starting point for discovery to just one of several routes through which a customer may find and evaluate a brand.

 

This changes the geography of search, but it doesn’t, however, invalidate its underlying principles.

 

This distinction matters because businesses are responding to AI search with understandable urgency. Our AI Search Maturity Report, based on research among 600 UK marketing professionals, found that 85 per cent are concerned about losing organic search visibility as AI-generated summaries become more prevalent. 59 per cent expect to increase their investment in generative engine optimisation over the next one or two years.

 

Yet, there’s a tension in those figures. Around two-thirds of marketers say traditional search still accounts for at least half of their website traffic, while 22 per cent intend to reduce their SEO investment.

 

The implication is not that businesses should resist AI search. It’s that they should be careful about interpreting its arrival as a wholesale replacement for what came before. 

 

AI search isn’t making visibility less important. It’s making the mechanisms through which visibility is earned considerably broader. AI is becoming another layer in an increasingly fragmented discovery ecosystem, while traditional organic search remains an important route to a website and, critically, to conversion.

 

The search journey is becoming distributed

There’s already evidence that the wider network is delivering commercial value. 77 per cent of marketers surveyed for our report said the rise of AI-driven search is having a positive impact on website traffic. 

 

But the true nature of that impact is important. Many organisations are reporting stronger gains in traffic than in leads, suggesting that AI is currently exerting greater influence over discovery than conversion.

 

And that makes sense. An AI-generated answer can introduce a consumer to a company at precisely the moment they’re defining a problem or considering their options. It cannot, by itself, determine whether that consumer ultimately trusts the company enough to buy from them. 

 

Nor is AI visibility particularly stable. Four in five respondents said their brands appear in AI-generated answers, but far fewer report appearing consistently. Wider research has found less than a one-in-100 chance that an AI tool will return the same brand recommendations twice for an identical prompt.

 

This creates an important distinction between being visible and being reliably visible.

 

The latter is much harder to achieve, because AI systems are responding dynamically to context, prompts and available information. A brand can’t reasonably build its entire discovery strategy around securing a position in an environment where the answer can change from one interaction to the next.

 

The more resilient approach is to build the signals that make a brand worth surfacing in the first place.

 

And those signals should look remarkably familiar to anyone who understands modern SEO.

 

The fundamentals survived the AI transition

Some of the clearest evidence comes from an unexpected source: the US Department of Justice’s antitrust case against Google.

 

During the remedies phase of the case, unsealed testimony and exhibits from Google’s own engineers provided rare visibility into the principles underpinning its ranking systems. At the centre were Anchors, referring to links pointing towards a page; Body, referring to the terms and information contained within it; and Clicks, reflecting how users interact with search results through systems such as Navboost.

 

Together, these contribute to what Google internally describes as Topicality. Alongside them sits Quality, broadly aligned with the principles publicly associated with E-E-A-T: experience, expertise, authoritativeness and trust.

 

There’s something significant in the familiarity of this architecture.

 

The search industry has spent years assuming that every major algorithmic development requires a new playbook. Yet the evidence suggests that some of the most important determinants of visibility remain stubbornly consistent.

Google’s AI overviews and AI Mode draw on the same underlying search index and ranking infrastructure. The interface has changed, the way the user interrogates the information has changed, but relevance and quality haven’t suddenly ceased to matter.

 

Other AI platforms have different architectures and retrieval processes, so the comparison shouldn’t be overstated. But, the underlying problem remains similar: an AI system needs to determine which information is sufficiently relevant and credible to include in its response.

 

The strategic lesson is therefore less dramatic than the industry rhetoric suggests. Brands don’t need to abandon SEO in favour of GEO. They need to understand that SEO now operates across a much larger information environment.

 

From keyword relevance to topical authority

The old model for producing a page for every conceivable keyword becomes increasingly inadequate when users are expressing their needs conversationally and moving between multiple sources of information. Search systems need to understand not merely whether a page contains a particular term, but whether the organisation behind it demonstrates meaningful authority on the subject.

 

With this, topical relevance is placed at the very heart of the modern search strategy.

 

Comprehensive coverage establishes relationships between ideas and internal linking strengthens those relationships, helping search systems interpret how individual pages fit within a wider body of expertise. It also creates a more coherent experience for users who want to explore beyond their initial question.

 

This isn’t an argument for producing extensive content; in fact, quite the opposite. As generative AI makes commodity content increasingly abundant, the relative value of information that’s genuinely difficult to replicate increases.

 

First-hand knowledge is harder to manufacture and original analysis is harder to commoditise. Expertise that comes from experience, operating within an industry, has a defensible value that generic content can’t easily reproduce.

 

As such, E-E-A-T moves beyond being an abstract SEO principle to become a useful framework for thinking about whether a brand has earned the authority it’s asking search systems to recognise. 

 

Visibility depends on what happens beyond the website

The relationship between PR and search is becoming more consequential.

 

A brand’s website represents what the organisation says about itself, but it’s not the only piece of evidence publicly available across the wider web.

 

AI systems can encounter brands through third-party coverage, expert commentary and independent references, and those external signals help establish context around an organisation and its areas of expertise.

 

Earned media therefore has a role that extends far beyond traditional referral traffic or brand awareness. It can help create the external corroboration that makes a company more recognisable as an authority.

 

The objection should never be to manufacture mentions simply to influence an AI system, as this is likely to produce the same low-value signals that have historically undermined poor SEO strategies.

 

Instead, the objective is to become genuinely worth mentioning.

 

In order to achieve this, PR and content teams must think less in terms of generating isolated coverage and more in terms of building a sustained reputation around subjects a brand has the authority to discuss. A credible expert quoted repeatedly on a particular issue creates a very different information footprint from a company publishing hundreds of interchangeable articles.

 

This is where the convergence between SEO, PR and content becomes particularly valuable. Each tactic contributes to a different part of the visibility problem, but all players are ultimately working towards the same goal: establishing why a brand deserves attention.

 

The most important signal is the person searching

Search has always been mediated by technology, but its purpose has never been technological. It’s to satisfy a person who wants an answer.

 

Google’s Clicks signal is a useful reminder of this. Visibility that doesn’t produce a satisfactory experience has limited value. A page can rank and still fail. A brand can appear in an AI-generated answer and still lose the customer once they arrive at its site.

 

And, as businesses evaluate the commercial impact of AI search, this may only become increasingly important. If traffic rises faster than leads, then questions need to be asked about how to go about generating more AI visibility, as well as whether that visibility is attracting the right audiences and taking them somewhere useful.

 

The strategic mistake would therefore be to frame the future of search as a choice between traditional SEO and GEO. 

 

Instead, the search journey is expanding, and now encompasses AI assistants, conversational search and the wider web of content, as well as the brand reputation that sits between a consumer’s first question and their eventual decision.

 

For brands, this means that visibility can no longer be treated as a single ranking to be won. It’s an accumulation of signals built across the journey.

 

The moral of this story isn’t to rush to shift the majority of your marketing budget into the newest optimisation discipline. It’s to recognise that AI search is expanding the search landscape, and to thrive in this new environment, investment needs to be made across the whole journey.

 

The logic behind search endures: relevance has to be demonstrated, quality has to be experienced, and authority has to be earned. 

 

AI hasn’t made these principles obsolete; it’s just given brands far more places in which they have to prove themselves.

 

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Martin Crutchley is head of digital at Tank

 

Main image courtesy of iStockPhoto.com and Bill Oxford