What is AI Search Optimisation? A Plain-English Guide

AI search optimisation is the practice of structuring your website, content, and brand presence so that AI platforms like ChatGPT, Google Gemini, Perplexity, and Google AI Overviews cite, recommend, or reference your business in their answers. It includes GEO (Generative Engine Optimisation), AEO (Answer Engine Optimisation), and LLMO (Large Language Model Optimisation).

Why it matters

48% of all Google search queries now show AI Overviews. ChatGPT processes 2.5 billion prompts daily, with 65% qualifying as traditional search behaviour. When an AI Overview appears, organic click-through rates drop 61% — but sites cited within the AI answer get 35% more clicks than uncited sites. AI search isn't replacing traditional search. It's reshaping where the clicks go.

Visitors from AI search convert at 27%, compared to 2.1% from standard organic search — a 13x higher conversion rate. This makes sense: someone asking ChatGPT "which AI search agency should I use for my law firm?" is further along the decision process than someone Googling "AI SEO".

How AI search engines work

AI search engines don't rank pages. They generate answers by synthesising information from multiple sources. When someone asks ChatGPT a question, it draws from its training data, real-time web browsing (via Bing), and retrieval-augmented generation (RAG) to construct a response. Your business appears in that response only if AI systems have enough confidence in who you are and what you do.

Each platform works differently:

Platform	Primary source	What it prioritises
ChatGPT	Bing index	Brand mentions (0.664 correlation). 87.4% of AI referral traffic.
Google AI Overviews	Google search index	Must rank top 10 first. E-E-A-T. Multi-modal content.
Perplexity	Real-time sources, Reddit	Recency. Updates every 2-3 days matter. Promotional content ignored.
Claude	Training data	Depth. Bullet-pointed pages 30% more likely cited.
Gemini	Google index	Schema markup. Entity relationships. Freshness.

The different types of AI search optimisation

You'll see several acronyms used in this space. They all fall under the umbrella of AI search optimisation:

GEO — Generative Engine Optimisation

GEO focuses on getting your content cited in AI-generated answers. It involves structuring content so AI engines can extract clean, quotable answers — using answer capsules (40-60 word factual blocks after every heading), comparison tables, specific data, and definitive language. GEO is the broadest term and the one most commonly used.

AEO — Answer Engine Optimisation

AEO targets zero-click answers — featured snippets, AI Overviews, and direct answers in AI responses. It predates GEO and originally referred to optimising for voice search and Google's answer boxes. Now it's largely synonymous with GEO.

LLMO — Large Language Model Optimisation

LLMO specifically optimises for visibility within LLM-powered platforms — ChatGPT, Claude, Gemini. It focuses on how language models process, store, and retrieve information about your business, rather than how search engines index your pages.

What AI search optimisation actually involves

Practical AI search optimisation covers several areas:

1. Entity clarity

Making sure AI platforms understand what your business is, what it does, and who it serves. This means consistent descriptions across your website, Google Business Profile, LinkedIn, directories, and schema markup. When multiple sources agree on what you are, AI confidence rises.

2. Content structure

Formatting your content so AI can extract clean answers. This includes clear H2/H3 headings phrased as questions, 40-60 word answer capsules after every heading, comparison tables, numbered lists, and FAQ sections with schema markup.

3. Schema markup

Structured data that tells AI engines exactly what your content is. FAQPage schema increases citation rates by 350%. Organisation schema establishes your brand identity. Speakable schema (used by fewer than 10% of websites) marks the most extractable sections of your page.

4. AI crawler access

Allowing AI crawlers (GPTBot, ClaudeBot, PerplexityBot) to access your site via robots.txt. Our research found 23% of UK business websites block at least one AI crawler — often without knowing it.

5. Brand building

Brand mentions have the strongest correlation (0.664) with AI visibility — stronger than backlinks (0.218). YouTube mentions have the highest correlation of any single factor (0.737). Getting mentioned across independent sources builds the consensus signal AI platforms use to decide who to cite.

6. Freshness

76.4% of pages cited by ChatGPT were updated within 30 days. 40-60% of cited sources change month-to-month. AI visibility is not a set-and-forget exercise — it requires ongoing content updates.

Is AI search optimisation the same as SEO?

No. Traditional SEO focuses on ranking pages in Google's organic search results using backlinks, keyword optimisation, and technical performance. AI search optimisation focuses on getting your business cited in AI-generated answers across multiple platforms. SEO helps you rank. AI search optimisation helps you get recommended. You need both — see our full GEO vs SEO comparison.

How much does it cost?

AI search optimisation costs range from £1,500 to £25,000 per month in the UK depending on scope. Small business packages typically cost £1,500-£3,000/month. Mid-market engagements £3,000-£8,000/month. Enterprise programmes £8,000-£25,000+/month. Most agencies offer initial audits from £500-£2,000. See our full cost guide.

Where to start

If you're new to AI search optimisation:

1. Get a free AI visibility audit to see where you currently stand across all platforms
2. Read our agency comparison if you want professional help
3. Browse our tool comparison if you want to do it yourself
4. Not sure which? Read Agency vs Tool — we break down when each makes sense

Frequently asked questions

Do I still need SEO if I do AI search optimisation?

Yes. 93.67% of AI Overview citations come from pages that already rank in Google's top 10 organic results. AI search optimisation is built on top of SEO, not a replacement for it. You still need to rank well in traditional search — AI search optimisation ensures you also get cited when AI generates answers.

How long does AI search optimisation take to work?

Initial technical improvements (schema, robots.txt, content structure) can take effect within weeks. AI citation improvements typically appear in 2-3 months. Significant visibility gains across multiple platforms usually take 3-6 months of consistent work.

Can small businesses benefit from AI search optimisation?

Yes. Small businesses with clear service descriptions, consistent directory listings, and basic schema markup often outperform larger competitors who have complex websites that confuse AI engines. The fundamentals — clear identity, structured content, AI crawler access — are free to implement.