AI Search Optimisation

Get your brand cited
by AI search engines.

Search is fragmenting. People aren't just typing queries into Google anymore; they're asking ChatGPT, Perplexity, and Gemini directly. Google itself is inserting AI Overviews above organic results, pulling and synthesising content from across the web. If your site isn't structured and written in a way that AI systems can extract, understand, and cite, you're invisible to a growing segment of your potential audience. This isn't a future problem. It's happening now, and most businesses haven't adapted.

I've been researching and writing about AI search optimisation since the early days of LLM-powered search tools, and I apply that understanding directly to client work. The approach builds on strong traditional SEO foundations (entity authority, structured data, topical relevance) and adds the specific signals that make content citable by AI: clear definitional statements, extractable answers, unique frameworks, and technical access for AI crawlers. The goal is to make your site a source that AI systems want to reference, not just a page that exists somewhere in their training data.

What's Included

What does AI search
optimisation cover?

🔎

Citability Audit

Analysing your existing content for AI citability: are your key claims extractable? Do your pages contain clear definitional statements? Is your content structured so that an LLM can isolate and reference specific answers? This audit identifies where your content falls short and what needs to change.

★

Entity & Authority Signals

Building the entity clarity that helps AI systems identify your brand as an authoritative source. Organisation schema, author credentials, consistent entity naming across the web, and topical authority that positions your site as the definitive resource in your subject area.

✎

Content Restructuring

Reformatting existing content and creating new content that's optimised for AI extraction. This is the practical application of generative engine optimisation: clear topic sentences, standalone claims that make sense without context, unique data and classifications, and answer-first structures that LLMs can easily summarise and cite.

⚙

Technical AI Accessibility

Ensuring AI crawlers can access your content: robots.txt configuration for AI bots (GPTBot, ClaudeBot, PerplexityBot), proper crawl directives, server-side rendering for JavaScript-heavy sites, and structured data that helps AI systems understand your content's semantic meaning.

📊

AI Visibility Monitoring

Tracking your brand's presence in AI-generated responses. Citation monitoring across ChatGPT, Perplexity, and Google AI Overviews; referral traffic from AI platforms in GA4; and competitive benchmarking against rivals in AI search results.

Why Work With Me

Why optimise for
AI search now?

Early Mover Advantage

Most businesses haven't started thinking about AI search optimisation. The ones that establish entity authority, citable content structures, and technical accessibility now will be the default sources AI systems reference when the technology matures. Building this foundation early is significantly easier than trying to displace entrenched sources later.

Complements Traditional SEO

Almost everything that makes content citable by AI also improves traditional search performance. Clear structure, authoritative content, strong entity signals, unique information: these are universal quality indicators. Optimising for AI search doesn't mean abandoning traditional SEO; it means strengthening both channels simultaneously.

Research-Led Methodology

I've published research on how LLMs select and cite sources and actively track how AI search behaviour evolves. This isn't guesswork or recycled advice; it's methodology built on direct observation of what gets cited, tested against real client content, and updated as the technology changes.

How It Works

How does AI search
optimisation work?

01

Citability Audit

Assess your current content's AI citability, entity signals, technical accessibility to AI crawlers, and competitive positioning in AI-generated responses. Identify the gaps between where you are and where you need to be.

02

Strategy & Prioritisation

Build a prioritised plan: which pages to restructure first, what new content to create, what entity signals to strengthen, and what technical changes to implement. Focus on the topics where AI citation would deliver the most commercial value.

03

Content & Technical Execution

Restructure existing content for citability, create new content targeting AI-rich topics, implement entity schema, and configure technical access for AI crawlers. Each change is designed to improve both AI and traditional search performance.

04

Monitor & Adapt

Track AI citation frequency, referral traffic from AI platforms, and competitive positioning. AI search is evolving rapidly; the strategy adapts as we learn what works and as the platforms themselves change.

Common Questions

AI search optimisation
questions answered.

AI search engines select sources based on content clarity, entity authority, topical relevance, and whether the content provides clear, extractable answers. Pages with strong definitional statements, well-structured headings, and unique frameworks tend to be cited more often. Traditional ranking factors like domain authority and backlinks still play a role, as AI systems often pull from top-ranking content.

It overlaps significantly but adds new considerations. Traditional SEO gets your pages ranking in organic results. AI search optimisation ensures your content is structured so LLMs can extract, summarise, and cite it. Most of what makes content citable to AI also improves traditional SEO. The additional work involves making content specifically extractable: formatting answers, claims, and data in ways AI systems can isolate and reference.

No. AI citation is probabilistic, not deterministic. What I can do is maximise the signals that make citation more likely: content structure, entity clarity, topical authority, unique data, and proper technical access for AI crawlers. The methodology is grounded in observed patterns, but the AI systems themselves are opaque and constantly evolving. I'm transparent about what's knowable and what's still emerging.

That depends on your business model. If your revenue comes from page views and advertising, allowing AI crawlers to reproduce your content may reduce traffic. If your revenue comes from leads, enquiries, or brand awareness, being cited by AI search engines is a significant visibility opportunity. I help you make an informed decision and implement the right crawl directives for your chosen approach.

I monitor citation frequency in Perplexity and ChatGPT for your key topics, track referral traffic from AI platforms in GA4, analyse which pages appear in Google AI Overviews, and benchmark your visibility against competitors. The metrics aren't as mature as traditional SEO reporting yet, but they're sufficient to track progress and inform strategy.

Ready to Start?

Win in AI search before
your competitors do.

Book a free video audit and I'll show you how much traffic AI search is already sending your competitors and where the revenue opportunity sits for you.

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