LLM Optimisation
LLM Optimisation That Lets Language Models Reach and Understand Your Site
LLM optimisation makes your website readable to language models: open to their crawlers and clear enough to be understood accurately. It forms the technical groundwork of our Generative Engine Optimisation programme, and can also be scoped as a project in its own right. Senior SEOs make every fix and structural decision, on your site rather than on any model.
- Search platforms optimised, from Google to ChatGPT, Perplexity, Reddit and YouTube
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Some of the brands we have worked with
Who this is for
Signs your site is not ready for language models
Crawl logs nobody has read
Nobody has opened your server's crawl logs, so nobody knows whether GPTBot and ClaudeBot visit, which pages they request or whether a robots.txt rule or server setting sends them away.
Text that waits for JavaScript
Your site runs on React, Next.js or Vue, and much of its text is assembled in the browser. Copy that appears only after client-side JavaScript runs may never reach an AI crawler.
Depth spread across loose pages
You have published plenty on your subject, but the pages barely link to each other. A language model meets scattered articles, not a connected body of work, and the depth of your expertise is harder for it to see.
Audited for Google alone
Your last technical audit judged the site as Googlebot sees it. Nobody asked whether AI crawlers are let in or whether llms.txt is worth adding, gaps an ordinary SEO audit can miss.
What we do
The access layer of our GEO work
Within our Generative Engine Optimisation programme, LLM optimisation deals with access and comprehension: whether language models can reach your pages and tell what they mean. The team handling your Technical SEO runs it, so fixes for Google and for AI crawlers are planned together.
AI Visibility Audits make a natural starting point. Entity Optimisation goes deeper on the facts about your business, and ChatGPT Optimisation on OpenAI's assistant, whose search draws on Bing's index.
How language models reach and read a page
Two questions decide whether a language model can use a page: can a crawler fetch it, and does the text say plainly what it means? A disallow rule in robots.txt or a server setting can refuse crawlers such as GPTBot and ClaudeBot, and text left to client-side JavaScript may never reach them.
Meaning is the second test. AI systems drawing on live web sources favour passages that make sense quoted alone, with a heading that matches the question and the answer beneath it.
LLM optimisation services, strand by strand
Your crawl logs and first prompt results decide how the five strands are weighted.
Crawl log analysis
We read your server's logs to see which AI crawlers, GPTBot and ClaudeBot among them, request which pages, and where they are turned away.
Robots and server rules
We review robots.txt disallow rules and your server configuration, so any AI crawler still blocked is blocked on purpose, not by accident.
Rendering checks
We confirm key text is served as HTML rather than left to client-side JavaScript, fixing it ourselves on platforms such as WordPress and Shopify or ticketing it for your developers.
Advice on llms.txt
We explain this emerging standard in plain terms, advise whether it is worth adding to your site and set it up where it is.
Pages built for retrieval
Sections are rewritten so they state their facts outright, organisation and service schema confirms them, and internal links group related pages by subject.
LLM visibility tracking begins at the server
Crawler activity is the first measure: which AI crawlers visited, what they fetched and whether any were refused. Citation frequency for your approved prompts comes next, where it can be measured, through specialist platforms and scripts we wrote. Technical health completes the picture, since a site update can reverse an earlier fix. All three sit beside your rankings and organic revenue.
How it works
How we sequence LLM optimisation
Crawler access is settled first, since a rewrite helps little if the crawler meant to read it is refused. After that, live retrieval shortens the wait: citations can respond to a structural fix within weeks.
Related services
Other GEO and AEO services
Quora Link Building
We act as your Quora marketing agency, answering the questions your buyers already ask on Quora in replies that Google can show and AI assistants can cite.
Reddit Link Building
As a Reddit marketing agency, we get your brand into the subreddits your customers already read, through posts and comments that add to the discussion.
AI Visibility Audits
Most businesses have never checked whether ChatGPT or Google's AI Overviews recommend them, their competitor, or nobody at all.
Answer Engine Optimisation
Answer engines pull one response from the web and present it as the answer.
ChatGPT Optimisation
ChatGPT optimisation is the ChatGPT workstream of our Generative Engine Optimisation programme: getting your business found, cited and named when a buyer asks ChatGPT to recommend a company like yours.
Claude Optimisation
Claude optimisation works on how Claude describes your business when buyers use it to research and compare suppliers.
Insights
AI SEO Guides
How to Measure Success From Generative Engine Optimisation
AI SEO Guides
What ROI Can Businesses Expect From GEO Services?
AI SEO Guides
How Much Traffic Can AI Search Generate for Your Business?
AI SEO Guides
Is GEO Worth Investing In? A Business Case for AI Search Optimisation
AI SEO Guides
How AI-Powered Search Engines Decide Which Brands to Recommend
AI SEO Guides
Google’s AI Overviews: What They Mean for Your Business
AI SEO Guides
FAQs
Frequently Asked Questions
Another name for LLM optimisation: making sure large language models can access your website, understand it and use it accurately. Within GEO it is the technical layer, and the wider programme covers how answers present and cite you. No model is retrained or tuned; the changes happen on your site.
From the HTML a crawler fetches, so text that appears only after JavaScript runs may be missed. Blocked crawlers and script-dependent text are therefore the first things we check. Beyond that, they favour clear passages: a heading matching the question, a direct answer beneath and schema stating the facts.
A newer standard, still emerging, that lets a site signpost its most useful content for AI systems. Whether it is worth adding depends on your site, so we advise case by case. We treat it as an addition to crawler access and clear pages, never a replacement.
How often, and how accurately, language models name or cite your business when buyers ask about what you sell. We measure it with a fixed set of prompts you approve, run monthly, and set the results beside AI crawler activity from your server logs.
They can reduce it without Search Console ever showing the loss. Where AI answers now appear, a business the answer leaves out loses visits that never become clicks. Strong rankings alone do not prevent that, which is why we track AI citations beside your rankings and organic revenue.
Technical depth, since much of the work sits in robots rules, server logs, rendering and schema. Whether you hire an LLM SEO consultant or a company, ask who does it: for us, SEOs from our technical SEO team, each with 8+ years' experience. An agency promising citations is promising something no agency controls.
Speak to us today to get started