AI search is reshaping SEO. Here's what AEO (Answer Engine Optimization) means for Marketing Leaders: the three things that change, the numbers behind the awareness gap, and how to audit where you stand today.
The fundamentals your sales and marketing team has built over the last decade haven't been invalidated overnight. What's happened is that a new layer has appeared on top of search, and it's changing where your audience actually consumes the answer.
Google's AI Overviews now appear above the organic results on most commercial queries. ChatGPT, Perplexity, Claude and Gemini are pulling answers from the open web and serving them in a paragraph, often without a click-through. Your prospect asks "best CRM for a 40-person B2B SaaS in the UK" and gets a complete answer naming three vendors. If your brand isn't in that answer, you didn't lose the click. You lost the consideration set.
This is Answer Engine Optimisation (AEO), and it's the layer your SEO playbook now needs to evolve into. Not a replacement. An extension. And it's the right moment to act, because the teams that move first are the ones that get baked into how the answer engines describe their category.
Here's the part that should make every Marketing Leader pause.
In our conversations with Marketing Leaders globally, around 80% are aware of AEO as a concept. They've read the articles, sat through the webinars. Roughly half of those aware are actively trying to weave AEO into day-to-day operations, tweaking content, adding a bit of schema, asking their SEO agency questions and the main one, asking their AI Agent to include AEO in their content.
But fewer than 5% have an actual AEO strategy.
A strategy meaning: a named owner, a measurement framework, a 90-day plan, defined moves across content, technical, and off-site activity, and integration with the wider marketing roadmap. Almost nobody has that yet.
Part of that is because AEO is evolving quickly, and people are understandably wary of committing to a strategy on shifting ground. The bigger reason, though, is that most teams don't yet know how to weave AEO into the strategies they already run. SEO, content, PR, demand gen, RevOps. AEO touches all of them and sits cleanly inside none of them, which is exactly the kind of problem that benefits from a bit of independent support.
That awareness-action gap is the opportunity. It's also the warning. The brands closing it now are the ones the answer engines will quote a year from now.
What isn't changing: the need for genuinely useful, well-structured content. The importance of being a trusted source. The compounding value of authority signals over time.
What is changing is how that content gets consumed and credited.
Three shifts every Marketing Leader needs to understand.
Classic SEO rewards depth, dwell time, and topical coverage. Those still matter. But answer engines work by lifting clean, self-contained passages they can rephrase into an answer.
A 2,000-word blog that wanders to its point in paragraph six is hard to lift. A piece that opens with a clear definitional answer in the first 80 words, then expands with substantiation, is easy to lift. Same content, very different AEO performance.
The shift in practice: question-led H2s, short definitional openers, lists and tables the model can rephrase, and a clear hierarchy from "the answer" to "the nuance." Your content team isn't doing anything new. They're just sequencing it differently.
Schema markup used to be a nice-to-have for rich snippets. In an AEO world, it's how you tell the machine, unambiguously, what your content is, what your product does, who your team are, and what questions your pages answer.
FAQ schema, Product schema, Organisation schema, How-To schema. None of this is new. What's new is that the engines now use it as a confident signal when they decide what to include in an answer. Pages with proper schema are getting cited at a meaningfully higher rate than pages without.
If your site was last audited for structured data more than 18 months ago, it almost certainly isn't where it needs to be.
This is the biggest mindset shift, and the one most teams haven't caught up with.
LLMs (Large Language Models i.e. ChatGPT, Claude etc.) are trained on the open web. The way they describe your category, your competitors, and you is shaped by everything that's been written about all three. Backlinks still matter for traditional ranking. But co-mentions, being named alongside your competitors in trusted sources, comparison sites, analyst pieces, podcasts, Reddit threads, G2 reviews, are what teach the model who plays in your space.
If you've never been mentioned alongside the names you compete with, you don't show up when those names do. It's that simple, and that uncomfortable. Your PR, partnerships, and community strategy just became core SEO inputs.
We see three patterns repeatedly with growth-stage teams.
They're still measuring success purely against keyword rankings. The dashboard is green while click-throughs quietly decline, because the answer is being served on the SERP without a click. Their reporting isn't broken. It's just measuring the wrong layer.
They've assumed AEO is an SEO problem and delegated it to whoever owns SEO. In reality, AEO sits across SEO, PR, content, product marketing, and CRM. It needs a cross-functional owner.
They're producing more content, hoping volume will solve it. Volume doesn't help if the content isn't structured to be quoted, isn't supported by schema, and isn't tied to a brand that's surfacing in the conversations the models learn from.
This is exactly the pattern behind that "fewer than 5%" number. It's not a lack of effort. It's a lack of an integrated plan.
A proper AEO audit looks at three things in parallel.
Your visibility in the answer engines. Run your top 20–30 commercial queries through ChatGPT, Perplexity, and Google AI Overviews. For each: do you appear, are you named accurately, who's named alongside you, and what's the source the engine credited? That's your real share of voice in the AI layer, and it'll often look very different from your Google rankings.
Your content and technical readiness. For your highest-intent commercial pages: is there a clean, liftable answer in the first 80 words? Is FAQ and product schema in place? Is the entity (your brand, your product) named consistently and unambiguously? Are you using a structure the engines can parse?
Your off-site presence. Which third-party surfaces in your space feed the models? Industry publications, analyst sites, comparison platforms, podcasts, Reddit and Quora threads, review sites. Map them, then map which ones currently mention you alongside your competitors. The gaps are your AEO backlog.
That's the audit. The output is a prioritised list of moves: pages to restructure, schema to add, third-party surfaces to target, queries to track.
The window matters. Answer engines are still forming a view of who's authoritative in every category. The brands that act now get described as category leaders by default. The ones that wait will have to dislodge a competitor who's already in the answer.
This isn't a year-long transformation. The first 60 days of focused AEO work move the needle in a way that traditional SEO usually takes six months to match. With 95% of Marketing Leaders still without a real AEO strategy, the gap between "aware" and "executing well" is wide open. It won't be for long.
If you'd like a second pair of eyes on it, Secret Source runs free AEO audits for Marketing Leaders. We'll show you exactly where the answer engines are leaving you out of the conversation, which pages need restructuring, which off-site surfaces are worth the effort, and how to weave AEO into the strategies you're already running. You'll leave the call with a prioritised 90-day plan.