Answer Engine Optimisation: How AI Overviews and ChatGPT Search Are Changing SEO
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Search doesn’t look like it used to. Type a question into Google and there’s a good chance the answer is already sitting at the top of the page, generated by AI, before you’ve even clicked a single link. Ask the same question in ChatGPT and you might get a full answer with sources baked in, no search results page at all.

Industry data backs up what most businesses are already noticing: AI Overviews now show up on a large share of Google searches, and tools like ChatGPT have grown into search engines in their own right, used by hundreds of millions of people every month. Some analysts expect traditional search volume to keep shrinking as more of that behaviour shifts to AI chat tools.

This is where Answer Engine Optimisation, or AEO, comes in. It’s not a replacement for SEO, but it is a real shift in what “ranking well” actually means.

What Answer Engine Optimisation Actually Is

AEO is the practice of structuring content so AI systems, Google AI Overviews, ChatGPT, Perplexity, Gemini, can pull it out, trust it, and use it as the answer to someone’s question, often without the person ever clicking through to your site.

Traditional SEO is about ranking in a list of links. AEO is about being the source an AI engine chooses to summarise, quote, or cite when it generates an answer directly on the page.

The two aren’t in competition. But optimising only for the old model is starting to leave real visibility on the table.

Why This Shift Is Happening Now

A few things are converging at once:

  • Google now shows AI-generated summaries for a large portion of searches, often before any traditional result
  • ChatGPT and similar tools are increasingly used as a first stop for research and comparison, not just Google
  • Newer AI search tools like Perplexity pull from multiple sources and cite them directly in the answer
  • People are getting more comfortable asking a question and trusting a synthesised answer instead of clicking through several sites

This mirrors something we’ve already seen in customer-facing AI more broadly. Just as AI customer support is increasingly handling the first response before a human ever gets involved, AI search tools are increasingly handling the first answer before a business’s own website ever gets seen.

How AEO Is Different From Traditional SEO

Traditional SEO still matters. Site structure, backlinks, page speed, and relevant keywords haven’t stopped being important. But being technically well-optimised isn’t enough on its own anymore if an AI engine can’t easily extract, verify, and trust what’s on the page.

The variables that seem to matter most for getting cited by AI engines are:

  • Structure – clear headings, direct answers, and content organised the way a person would actually ask the question
  • Freshness – recently updated content tends to get pulled over stale pages covering the same topic
  • Credible sourcing – clear, verifiable information that an AI system can confidently attribute, rather than vague or unsupported claims

This is a similar principle to what we’ve covered around how Google personalises local search results for both locals and tourists: the systems deciding what to show are getting smarter about context, and generic content is losing ground to specific, well-structured answers.

Writing Content That AI Can Actually Pull From

If an AI engine can’t quickly identify the direct answer on your page, it’ll likely pull the answer from a competitor who made it easier. That means writing with a slightly different instinct than classic SEO copywriting.

Practical habits that help:

  • Answer the core question early and clearly, don’t bury it under a long introduction
  • Use headings that match how people actually phrase questions
  • Back up claims with specifics rather than vague statements
  • Keep the answer accurate even if it’s not the most “exciting” version of it

None of this means writing for robots instead of people. If anything, the content that performs best tends to be the same content that reads well to an actual human, which is the whole idea behind writing blogs people would actually want to read rather than content stuffed for search engines.

Where Paid Search Still Fits Into the Picture

AEO is mostly a conversation about organic visibility, but it doesn’t replace the role of paid search. AI Overviews and chat answers are changing how people research, but plenty of purchase-ready searches still lead to a results page with ads on it.

If organic visibility is getting harder to predict in the short term, it’s worth revisiting how your Google Search campaigns are structured and scaled, so paid search can carry more weight while your organic and AEO strategy catches up.

Platforms Keep Changing, So Build for Adaptability

This isn’t the first time an algorithm shift has changed the rules overnight, and it won’t be the last. We’ve seen a similar pattern in advertising, where Meta’s own delivery systems, like Andromeda, have shifted what gets rewarded behind the scenes. The lesson carries over here: chasing the exact current mechanics of one AI engine is less valuable than building genuinely strong, well-structured, trustworthy content that holds up as the rules keep shifting.

Fitting AEO Into a Wider Marketing Strategy

AEO isn’t something to bolt on separately from everything else you’re doing. It works best as one part of a broader approach that includes your website, your content, your paid campaigns, and your overall visibility strategy. If you’re mapping that out, it’s worth reading alongside our 9 steps to a local digital marketing strategy for small businesses, since AEO is really just the newest piece of a strategy that should already be working together.

Getting Ahead of the Shift Rather Than Reacting to It

The businesses that will struggle most here aren’t the ones with weak websites. They’re the ones who assume AI search is a temporary trend and keep doing exactly what worked five years ago. AEO doesn’t require throwing out your SEO work, it requires layering a new set of habits on top of it: clearer structure, more current content, and information solid enough for an AI system to trust and cite.

If you’re not sure where your content stands with any of this, that’s exactly the kind of audit the team at MDV runs for clients before building out a content or SEO strategy.

FAQs About Answer Engine Optimisation

AEO is the practice of structuring content so AI tools like Google AI Overviews, ChatGPT, and Perplexity can extract, trust, and cite it directly as an answer, rather than just ranking it as a link.

No. Traditional SEO fundamentals still matter, but AEO adds a new layer on top, focused on being the source AI systems choose to summarise or quote.

Because more people are getting answers directly from AI summaries or chat responses without clicking through to a website, which can reduce traffic even for content that’s technically ranking well.

Clear structure, direct answers, up-to-date information, and credible, specific sourcing all improve the chances of a page being pulled into an AI-generated answer.

Yes, especially if a meaningful share of your traffic comes from search. The earlier you build content that AI systems can trust and extract, the less ground you lose as the shift continues.

Yes. Paid search still captures a lot of purchase-ready intent, and it can help fill the gap while your organic and AEO strategy develops.

Picture of Matteo Di Vita
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