How AI is changing the way customers find answers and why credibility, consistency and relevance matter more than another technical SEO tweak.
The other day I had a client flying in from Sydney for a meeting and I needed to book somewhere for dinner. I wanted somewhere that felt like Auckland, not a hotel restaurant. Somewhere with good food and a bit of atmosphere, but still somewhere we could talk business without shouting across the table.
A few years ago, I would have Googled it, opened a bunch of tabs, cross-checked a few review sites, maybe messaged a friend who eats out more than I do and pieced together a shortlist myself. Now I ask AI, I can write a proper question about what I’m after, the area, the type of cuisine, the vibe and get something far more tailored back, along with the reasoning for why each place made the list.
The restaurant question is low-stakes version, I’m asking the same kind of questions for business decisions too: which tools to use, which platforms to shortlist, what tech stack fits. The people our clients are trying to reach are doing the same thing. So being the brand AI recommends is crucial.
Search has changed more in the past two years than in the decade before it. For a long time, the game was understood. You built pages, targeted keywords, earned links and if you did the technical work well enough, you climbed the rankings. It rewarded good execution and, for the most part, you could work out what you needed to do to improve your position.
That version of search is changing fast. Google’s AI Overviews can answer questions before someone reaches a link. Tools like ChatGPT, Claude and Perplexity are becoming places people go directly for recommendations and answers. People are increasingly being handed an answer rather than a list of results to work through.
Which raises the question: what makes an AI model choose one brand over another? I think it is becoming less about having the most technically optimised website and more about being a brand that is recognisable, credible and relevant.
From search engine optimisation to answer engine optimisation
Answer Engine Optimisation, or AEO, is becoming a bigger part of the search conversation. AEO is the practice of optimising your brand to be the answer that AI tools surface, rather than just a link on a results page.
The name makes it sound technical. In practice, it is less about clever mechanics and more about something Fabric has argued for a long time: you can’t separate visibility from brand.
You still need the basics in place: good site architecture, structured content, clear information and pages that are easy for search engines and AI systems to understand. But those things are table stakes now. The harder thing to build and the harder thing for a competitor to copy is trust.
Why brand matters more in AI-driven search
Search engines have become much better at evaluating the wider context around a brand and its content. Technical fundamentals still matter, but they are only part of the picture. Credibility, authority and what other people say about your brand matter too.
Consistent messaging, genuine authority and useful content all contribute to how a brand is understood and surfaced. Search systems are getting better at evaluating whether content is genuinely useful and whether a brand has credibility in the subject it is talking about.
When your content reflects who you are, answers the questions your customers are asking and does so consistently over time, you become easier to recognise. That recognition takes time, but once it is established, it is much harder for a competitor to replicate.
What makes a brand easier to find and trust
When I think about what makes a brand easier to find and trust, I keep coming back to three things: credibility, consistency and relevance.
Credibility
Both search engines and AI systems use signals that help them assess whether a source is credible. Brand mentions, third-party references, reviews and the way others talk about you online all feed into how a model understands your authority.
You can’t completely engineer this, and that’s probably a good thing. Being referenced by other people is something you earn by being useful, credible and known for something. Saying you’re an expert on your own website only gets you so far. The more useful signal is whether there is evidence elsewhere that other people think you are too.
Consistency
A brand that shows up with the same voice, the same values and the same depth of expertise across every touchpoint makes it easier for both customers and AI systems to understand what you do and what you’re known for.
This is where a lot of teams undo their good work. Different messages across the website, the sales deck, the partner pitch and the campaign do not just confuse buyers, they make it harder for search systems to understand what the business stands for.
Relevance to your customer
The goal isn’t to publish more. It is to publish things that are genuinely useful to the people you’re trying to reach.
This starts with knowing your customer properly. Without that, it is very difficult to know what questions you should be answering or what you want to be known for.
Where I’d put the effort
There always seems to be another model, feature or algorithm change to think about. It is tempting to keep reorganising around each one. This is where I would recommend you put your effort:
Get clear on who you are before you optimise anything. Define who you are for, the problem you are best placed to solve and why a buyer should believe you. If that takes more than a few minutes to articulate, that is your first project.
Decide your messaging and your priority themes up front. Know the handful of things you want to be known for and the language you will use consistently to talk about them. Then hold the line across every channel.
Publish to be useful, not just to be visible. Before publishing something, ask a fairly simple question: does this help the person it’s intended for? If the answer is no, it is unlikely to be doing anything for your search visibility either.
Build credibility you cannot fake. Earn the mentions, the references and the reputation that make you a source worth citing. It takes time, but it is also much harder for a competitor to copy.
Stay consistent long enough to be recognised. The temptation is to change course every time the landscape moves. But if your positioning keeps changing, you never give people or the systems enough time to build a clear picture of who you are.
Brand is the strategy now
For years, brand and SEO were treated as separate disciplines, one about how you feel, the other about how you rank. In an AI-driven search world, your brand is your search strategy. The clarity of what you stand for, the consistency of how you show up and the relevance of what you offer are now the things that influence whether you are surfaced, cited and chosen.
That means spending less time trying to reverse-engineer every new model and more time investing in the fundamentals.
At Fabric, we help ambitious tech brands get clear on what they stand for and make sure that clarity carries through the places customers encounter your brand, including AI. If you’re thinking about how your brand holds up in an AI-driven search world, let’s talk.
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Patrina Kerr
Patrina Kerr is a results-driven entrepreneur, technologist, and business leader with more than 30 years of experience in the IT sector. Her career journey spans technical support, sales, channel development, marketing, and executive leadership roles across the ANZ and ASEAN regions.