If AI Is Doing the Searching, Who Are You Optimising For?
For years, search has been a relatively simple game to understand. Rank on Google, get the click, win the customer.
That model is breaking.
Search is no longer just a list of links. It is increasingly a layer of answers, summaries, and recommendations generated by AI systems that decide what matters on behalf of the user. Whether it is Google’s AI Overviews, ChatGPT, or other generative interfaces, the shift is the same. Users are no longer searching to explore. They are searching to be told.
Which raises a more uncomfortable question for brands. If AI is doing the searching, who are you actually optimising for?
From Ranking to Referencing
Traditional SEO has always been about visibility. Show up in the right place, at the right time, for the right keyword. Generative search changes the objective entirely. You are no longer competing to be clicked. You are competing to be included.
AI systems do not present ten blue links and let users decide. They synthesise information from multiple sources and produce a single, consolidated answer. In that answer, only a handful of brands, sources, or perspectives are referenced. Sometimes none at all.
If your brand is not part of that synthesis, you effectively do not exist in that moment. This is the shift from ranking to referencing.
How AI Decides Who Gets Included
There is a tendency to assume that AI search is just SEO with a new interface. It’s not.
Large language models do not “rank” pages in the traditional sense. They identify patterns of credibility, consistency, and authority across a wide range of sources. They look for signals that a brand or source is reliable enough to include in an answer.
That has a few important implications.
- First, clarity beats cleverness. Content that is structured, direct, and easy to interpret is far more likely to be understood and surfaced than content that is overly creative or ambiguous.
- Second, authority is cumulative. One well-optimised page is not enough. AI systems draw from a broader footprint which includes your website, third-party coverage, reviews, and general presence across the web.
- Third, consistency matters. Conflicting information across platforms weakens trust. If your messaging, positioning, or offering is unclear, it becomes harder for AI to confidently represent you.
In other words, this is no longer just about what you publish. It is about what the internet collectively believes about you.
Why Keywords Are Losing Their Grip
Keywords are not disappearing, but their role is changing. In a world of generative answers, users are asking more complex, conversational questions. AI models interpret intent, not just exact phrasing. This means content designed purely to capture specific keyword variations becomes less effective over time.
What replaces it is something more foundational. Topical depth. Semantic clarity. Context.
Instead of asking, “What keywords should we target?”, the better question becomes, “What do we want to be known for, and is that consistently understood across the web?”
Brands that answer that well are the ones that get surfaced.
The New Intersection of Content, PR and ORM
One of the biggest shifts happening under the surface is the collapse of silos. Content, PR, and online reputation management have traditionally been treated as separate disciplines. In a generative search environment, they converge.
- Your content defines what you say about yourself
- Your PR defines what others say about you
- Your ORM defines whether that narrative is positive, negative, or unclear
AI systems do not distinguish between these sources in neat categories. They ingest all of it.
A strong blog strategy without supporting third-party validation is weaker than it used to be. Great PR with inconsistent on-site messaging creates friction. Poor reputation signals can undermine both.
Visibility is now the outcome of a combined ecosystem, not a single channel.
Generative Engine Optimisation Is Already Here
There is a temptation to treat this as a future trend. However, AI-generated answers are already shaping how users discover brands, evaluate options, and make decisions. In many cases, the click never happens because the answer is delivered upfront.
This is what many are now calling Generative Engine Optimisation (GEO). Not as a replacement for SEO, but as an evolution of it.
The brands that adapt early will not just rank. They will be recommended.
What This Means in Practice
Adapting to this shift does not require abandoning everything that came before. It requires recalibrating what matters.
It means:
- Creating content that is structured for understanding, not just indexing
- Building authority beyond your own platforms through credible third-party signals
- Ensuring consistency across every touchpoint where your brand appears
- Actively managing your reputation so that what AI finds is aligned with what you want to be known for
Most importantly, it means thinking beyond the search engine results page.
Optimising for Machines That Speak for You
Search used to be about earning a position. Now it is about earning a place in the answer. That is a far higher bar. It requires clarity, credibility, and a level of cohesion that many brands have not had to maintain before.
But it also creates an opportunity.
Because while many brands are still focused on ranking, the real shift is happening in how decisions are being shaped before a user ever clicks.
At FGX, this is where our focus sits. Not just on helping brands get found, but on helping them be understood, trusted, and surfaced in the environments where decisions are being made.
If you’re trying to figure this out and it’s doing your head in, we can help. Give us a call today.