AI Search Optimisation
Also known as Generative Engine Optimisation (GEO) — winning citations across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Bing Copilot.
Search is no longer a list of ten blue links. We make sure your brand's expertise gets ingested, understood, and cited by the AI models that now sit between your customers and your website.
Photo: homegets.com / Flickr, CC BY 2.0
The era of the LLM index
Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot have changed how people discover information. A brand that ranks well in classic organic results can still be entirely absent from the answer an AI assistant gives — and most sites have no idea it's happening.
We call our discipline citation engineering: the technical and content work that gets your brand's data, expertise, and authority signals ingested, correctly attributed, and prioritised by the models driving modern discovery. It shares a technical backbone with our technical SEO audits — crawlability, structured data, and site architecture — plus a layer built specifically for how LLMs read and cite a page.
Strategic optimisation pillars
Google AI Overviews
Structured data and E-E-A-T signals engineered to earn a place inside Google's AI-generated overviews rather than being summarised past.
Citation Engineering
Architecting content so ChatGPT, Perplexity, and Google Gemini can extract a clean answer and attribute it back to your brand as the source.
Entity & Knowledge-Graph Markup
Schema.org entity markup and consistent identifiers so models resolve who you are and what you're an authority on, rather than confusing you with a competitor.
AI Crawler Accessibility
Fixing the robots.txt rules, redirects, and rendering issues that quietly block GPTBot, ClaudeBot, and PerplexityBot from ever reaching your content.
llms.txt File Architecture
Building and maintaining an llms.txt file that hands large language models a structured map of your most citable pages.
Bing Copilot & Conversational Search
Optimising for Microsoft Bing Copilot and the multi-turn, natural-language queries where intent unfolds across several follow-up questions.
Precision implementation
From baseline audit to a citation-ready site, built to survive the next model update.
AI Visibility Audit
Benchmarking current citation presence across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Bing Copilot.
Entity & Crawler Mapping
Mapping knowledge-graph associations and auditing server logs for GPTBot, ClaudeBot, and PerplexityBot access against your robots.txt.
Implementation
Deploying llms.txt, entity and knowledge-graph markup, and citation-ready content structures across the site.
Monitoring
Tracking citation growth month over month and re-testing whenever a model update reshuffles the answer.
What you'll receive
A working citation pipeline, not just a report — built alongside our link engineering (link building) work where authority signals overlap.
01. AI Visibility Baseline Report
A full audit of how ChatGPT, Perplexity, Google AI Overviews, Gemini, and Bing Copilot currently perceive — or ignore — your brand entity.
02. llms.txt Implementation
A custom llms.txt file mapping your most citable content for direct LLM ingestion.
03. Entity Optimisation Playbook
A strategic blueprint for strengthening brand-entity and knowledge-graph signals over time.
04. AI Crawler Access Audit
Server-log analysis and robots.txt configuration confirming GPTBot, ClaudeBot, and PerplexityBot can actually reach your pages.
05. Structured Data for RAG
Nested JSON-LD and entity metadata deployed as part of our technical SEO audit work, tuned for retrieval-augmented generation systems.
06. Monthly AI Citation Reports
Ongoing tracking of citation growth and new discovery opportunities across every monitored platform.
Frequently asked questions
What is AI Search Optimisation, and what does GEO mean?
AI Search Optimisation is the practice of making your content discoverable, understandable, and citable by AI-driven search and answer systems — Google AI Overviews, ChatGPT, Perplexity, Google Gemini, and Microsoft Bing Copilot. It's also known as Generative Engine Optimisation, or GEO, and covers entity markup, citation engineering, llms.txt files, and AI crawler accessibility rather than ranking for keywords alone.
Which AI platforms do you optimise for?
We actively optimise for and monitor citations across Google AI Overviews, ChatGPT, Perplexity, Google Gemini, and Microsoft Bing Copilot, alongside a wider set of LLM-powered discovery surfaces we track for emerging citation opportunities.
What is an llms.txt file, and does my site need one?
An llms.txt file is a plain-text file at your site root that gives large language models a structured map of your most important, citable content — similar in spirit to a sitemap, but written for model ingestion rather than crawler discovery. It won't guarantee a citation on its own, but it removes a real barrier for models that support it, and we build and maintain one as part of this service.
How do you make a site accessible to AI crawlers like GPTBot and ClaudeBot?
We audit server logs and robots.txt directives to confirm which AI crawlers — GPTBot, ClaudeBot, PerplexityBot, and others — are actually reaching your pages, then fix the blocks, redirects, and rendering issues stopping them. A site that's invisible to these crawlers can't be cited, no matter how good the content is.
How is GEO different from traditional SEO?
Traditional SEO earns a ranked position in a list of links; GEO earns a citation or mention inside an AI-generated answer, where there's often no link at all. The technical foundation overlaps heavily with our technical SEO audits, but GEO adds entity and knowledge-graph markup, citation engineering, and AI crawler accessibility work that ranking-focused SEO doesn't touch. Full case data lives in our case studies.
Ready for search without the blue links?
Don't let your brand become a footnote in the AI era. Start your AI visibility audit today.
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