Technical LLM access
Server-side rendered content, robots.txt permissions for AI crawlers, and an llms.txt manifest.
AI Search Consultancy
LLM and ChatGPT optimisation
LLM optimisation is the practice of making your website and brand easy for large language models — ChatGPT, Perplexity, Gemini and Copilot — to understand, trust and cite. Alugence optimises your content, structure and entity signals so AI models quote you as a source, turning the answers they generate into traffic and leads for your business.
What is llm and chatgpt optimisation?
LLM optimisation is the work of structuring a website and its content so large language models can read it, understand what your brand is, and cite it accurately in their answers. Because many AI crawlers don't run JavaScript and assemble answers from extractable, authoritative text, LLM optimisation focuses on clean HTML, answer-first content, entity clarity, schema and technical access (like llms.txt and crawler permissions).
How we help
Entity legibility
Consistent brand naming, Organization schema and sameAs signals so models know who you are.
Content optimisation
Answer-first, quotable, well-structured content models can extract.
Citation building
Presence in the sources LLMs draw on.
Measurement
Tracking citations across engines (visibility tracking).
Our process
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Audit
how LLMs currently see and cite your site.
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Fix
technical access and entity signals.
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Optimise
content to be extractable and quotable.
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Build
citations in trusted sources.
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Track
mentions and citations over time.
Outcomes and benefits
- Your website cited by ChatGPT, Perplexity, Gemini and Copilot.
- Clear, consistent entity understanding by AI models.
- AI referral traffic and leads you can measure.
- A durable presence as models update.
Who this is for
Businesses that want to be the source AI models quote — and anyone seeing AI referral traffic (from chatgpt.com, perplexity.ai and others) they want to grow.
Frequently asked questions
Common questions, answered directly.
How do I optimise my website for ChatGPT?
Make your site easy for AI models to read and trust: serve key content in the initial HTML (many AI crawlers don't run JavaScript), lead with clear answers, keep your brand entity consistent, add schema, allow AI crawlers in robots.txt, and publish an llms.txt manifest. Then build citations in sources the models draw on. That's the core of LLM optimisation.
Why isn't my brand showing up in AI answers?
Common reasons are that AI crawlers can't read your JavaScript-rendered content, your brand entity is inconsistent or unclear, your content isn't structured to be extracted, or you lack citations in trusted sources. An LLM optimisation audit pinpoints which of these is holding you back.
What is llms.txt?
llms.txt is a plain-text file at your site's root that gives AI crawlers a curated summary of your brand and key URLs, helping them understand and cite you. It's a small but useful signal in LLM optimisation — see our llms.txt guide.
Can you track whether AI is citing us?
Yes. We monitor how often your brand is mentioned and cited across ChatGPT, Perplexity, Gemini and Copilot for your target prompts, and track AI referral traffic in your analytics. See AI Search Visibility Tracking.
Start the conversation
Find out what looking further could do for your business.
A 30-minute call. We'll tell you honestly where AI can move your numbers — and where it can't.