AI search optimisation

Get cited by AI, not just ranked by Google

AI tools now answer billions of questions a month, often without a single click through to a traditional search result.

Being the source ChatGPT, Gemini or an AI Overview actually cites is quickly becoming as valuable as ranking first on Google used to be.

Here's the part most agencies won't tell you plainly: this isn't a separate discipline built from scratch; it's roughly 95% the same fundamentals good SEO has always required, and about 5% platform-specific nuance layered on top.

 
  • What is AI search optimisation?

  • How do the major AI platforms actually source answers

  • Is AI search optimisation right for you?

  • AI Search is built on SEO foundations

  • Get a quote

  • Articles

  • FAQs

 
 

What is AI search optimisation?

Answer engine optimisation, generative engine optimisation, AI optimisation, AEO, GEO, AIO- whatever term you've seen it called- it's the same underlying shift.

AI tools like ChatGPT, Gemini, Claude and Perplexity are increasingly where people research before they buy and being cited inside those answers is becoming as valuable as ranking on page one used to be.

Here's what most agencies won't tell you plainly. This isn't a new discipline built from scratch.

It's roughly 95% the same fundamentals as good SEO always required: genuinely useful content, real backlinks, solid technical foundations, and about 5% platform-specific nuance on top.

Google's own Search Advocate has said publicly that there's no such thing as GEO or AEO without SEO fundamentals underneath it.

We agree, and we've built our service around that reality rather than selling you a separate methodology that doesn't exist.

How the major AI platforms actually source answers

AI assistants mostly don't crawl the web themselves; they draw on existing search indexes, and each one leans on a different one.

AI platform Underlying search index What this means
Google AI Overviews Google Search Appears directly in Google's results page, grounded in multiple sources per sentence, standard Google SEO is the most direct lever here
ChatGPT Bing Ranking well in Bing meaningfully affects ChatGPT visibility
Gemini Google Standard Google SEO carries directly into Gemini results
Claude Brave / Bing Brave's index and standard SEO fundamentals both matter
Perplexity Multiple sources, blended Broad, well-established visibility across sources matters most

 

Is AI search optimisation right for you?

Being cited by AI isn't a nice-to-have anymore; it's quickly becoming a real channel buyers use to shortlist vendors before a traditional search ever happens. A few signals suggest it's worth prioritising now, not later.

  • Competitors are showing up in ChatGPT, AI Overviews or Perplexity answers for terms you'd expect to own, and you aren't

  • Your SEO fundamentals are solid, but you have no visibility into whether AI tools are citing you at all

  • Prospects have mentioned finding a competitor through an AI assistant rather than a traditional search

 

AI Search is built on SEO foundations

 
 

What stays exactly the same

  • Genuinely useful content. Entity-rich, well-structured, accurate content performs well in both traditional search and AI citation because it's easier for humans and machines to parse and trust.

  • Real backlinks. Earned links remain a trust signal for search engines and, by extension, AI systems that draw on those same indexes still weight them heavily.

  • Technical foundations. Site speed, clean structure and proper indexing still matter. AI visibility doesn't bypass technical SEO; it depends on it.


What's genuinely different

  • Source trust varies by platform, and it's not always what you'd expect. Independent testing has found that Reddit, despite ranking extremely well in Google, gets rejected as a citation source by LLMs more than 90% of the time. Platform-level trust doesn't map directly from traditional rankings.

  • Serving format can matter. Research from Cloudflare found that AI crawlers preferentially cite content served as plain markdown over content wrapped in heavy HTML and scripting, a genuinely new, platform-specific consideration that didn't exist in traditional SEO.

  • Grounding behaviour differs by platform. Google grounds AI Overview responses in multiple search sources per sentence. OpenAI tends to ground more sparingly, often one source per claim. Understanding this affects how confidently content needs to stand on its own.

  • Speed of impact, not the mechanism. The biggest genuine difference isn't a new set of tactics; it's the timeline. Content that once took twelve to eighteen months to build authority can now influence AI citations within days of publication.


What we don't do

Some tactics get pushed hard in this space right now with little evidence behind them.

Listicle-heavy content is one; some practitioners claim it performs disproportionately well for AI citation, when the more likely explanation is that current AI systems are still relatively unsophisticated at parsing more complex content structures, not that listicles are a genuine long-term strategy.

As AI systems mature, content built purely to exploit a current parsing limitation is likely to lose whatever edge it has. We build for durability, not a temporary gap in how the technology currently works.

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Contact us online to chat with David, our senior SEO & AI Search strategist.

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