LLM Optimisation Services UK
ChatGPT, Perplexity, and Google AI Overviews are now where your potential customers look for recommendations. LLM optimisation ensures your brand appears in those answers. We are a WordPress-native agency that has been implementing LLMO since the technology emerged.
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What is LLM Optimisation?
Understanding LLMO, GEO, and AEO
The terminology in AI search is evolving quickly. Here is a plain-English breakdown of the key terms and what they mean for your website in practice.
LLMO
LLM Optimisation
The practice of structuring your website content, technical setup, and brand presence so that large language models cite your brand in their responses. Traditional SEO targets Google’s ranking algorithm; LLMO targets the AI systems that synthesise answers from across the web. A brand that appears in AI answers receives pre-qualified referral traffic, visitors who arrive already knowing who you are.
GEO
Generative Engine Optimisation
A broader term covering all techniques used to improve visibility in AI-generated content. GEO encompasses LLMO and also includes optimising for AI tools used in content creation, product recommendations, and automated summaries. The core principle is the same: help AI systems understand your content accurately so they represent your brand correctly.
AEO
Answer Engine Optimisation
Focused specifically on optimising content to appear in direct answer formats, including featured snippets, voice search responses, and AI-generated summaries. AEO requires content that clearly and concisely answers the questions your target audience asks. Well-structured FAQ content, definition pages, and how-to articles are the primary AEO assets.
MCP
Model Context Protocol
An open protocol that standardises how AI systems connect to and interact with external data sources and tools. For WordPress websites, MCP is the underlying technology behind WordPress 7.0’s Abilities API, allowing AI assistants to discover your site’s capabilities, query your content, and trigger actions through a consistent, secure interface. It is the technical bridge between your website and AI tools, including Claude, ChatGPT, and others.
Client Success Stories
Why It Matters Now
The Way Your Customers Find You Is Changing
AI search is not a future consideration. It is already reshaping how UK businesses are discovered online. ChatGPT alone processes 18 billion messages weekly. Google’s AI Overviews now appear at the top of results for millions of queries, providing direct answers rather than lists of links. Perplexity has grown rapidly as a preferred research tool for professionals.
The businesses appearing in AI answers are not there by chance. They have websites that are structured clearly, content that AI systems can extract and verify, and technical setups, llms.txt, schema markup, and MCP compatibility that signal to AI crawlers what they offer and why they are credible.
The opportunity is significant because adoption is still low. Fewer than 20% of domains have implemented llms.txt. Most businesses have no AEO strategy at all. The window to establish AI search visibility ahead of competitors is open right now and will narrow as the market matures.
Early Mover Advantage Is Real
Only 18.3% of domains globally have implemented llms.txt files. Businesses optimising now face far less competition than in saturated traditional search results. That gap will close over the next 12-24 months.
AI Referral Traffic Converts Better
When an AI tool recommends your business specifically, the visitor arrives with context and intent. Studies indicate AI referral visitors convert at significantly higher rates than general organic visitors because the AI has already answered their initial question.
Invisible Brands Lose Ground Quickly
If a competitor's brand appears in ChatGPT responses for your category and yours does not, that is a compounding disadvantage. AI systems reinforce what they already know. Brands that establish early AI visibility maintain it; brands that are absent become harder to surface over time.
It Works Alongside Traditional SEO
LLMO is not a replacement for SEO. It is an extension of it. The same foundations that help your site rank in Google help AI systems understand and cite your content. We develop strategies that strengthen both simultaneously rather than treating them as separate disciplines.
Our LLM Optimisation Services
What We Do for Your AI Search Visibility
Every service is delivered by our in-house team. We are a WordPress agency first, which means our LLMO work is grounded in real technical implementation rather than advisory reports.
WordPress LLM Optimisation
Bespoke enterprise WordPress development specifically designed to meet your organisation’s exact business needs. Every custom WordPress build begins with a thorough discovery and scoping process to ensure the development process delivers the right platform the first time.
AI-First Content Strategy
Content written to be cited by AI tools requires a different approach from content written for keyword rankings. We develop content structured around the questions your customers ask AI platforms, incorporating verifiable data, clear entity markup, and the information gain that LLMs actively prefer to cite. Content, including statistics and credible sources, is referenced 30-40% more often in AI responses.
Technical LLM Implementation
The technical foundation of AI search visibility includes schema markup for organisations, services, and FAQs; site architecture optimised for AI crawlers; MCP configuration for WordPress 7.0; compatibility with the Abilities API; performance improvements that meet AI platform requirements; and a multi-platform rollout. We also configure llms.txt as optional scaffolding where relevant, though content quality and on-page structure remain the primary signals AI systems use.
AI Visibility Audit
We assess your current brand presence across major LLMs, analysing how often you are mentioned, in what context, and in what sentiment. We audit your WordPress setup for AI compatibility, content structure, schema implementation, and crawler accessibility, and identify the gaps between your current AI visibility and where you should be.
Authority and Entity Building
AI systems learn about brands from across the web. We build your brand’s entity presence through strategic digital PR, generating mentions and citations on high-authority platforms. The more credible sources that reference your brand accurately, the more consistently AI tools will cite you in relevant responses.
Monitoring and Reporting
LLMO performance is measured differently from traditional SEO. We track brand mention frequency across AI platforms, sentiment analysis of AI responses about your brand, referral traffic from AI sources, and conversion rates from AI-driven visitors. Monthly reports detail visibility improvements and strategic recommendations.
Our Methodology
10 LLM Optimisation Techniques We Use
A named methodology, not a vague service description. These are the specific techniques we implement for every LLM optimisation engagement.
WordPress 7.0 Abilities API Integration
Configures your site to communicate its capabilities directly to external AI models. WooCommerce stores can expose product data, pricing, and availability in formats AI systems can directly understand and cite.
llms.txt File Configuration
A plain-text file at your site root that some AI crawlers reference when discovering content. No major AI platform has confirmed that it directly influences citation rankings, but implementing it via Rank Math takes under 30 minutes and causes no harm. We configure it as low-effort optional scaffolding alongside the more substantive technical work.
Entity-Based Content Structuring
Implementation of Organisation, Service, and FAQ schema markup for machine-readable content that AI systems can verify and cite with confidence.
Information Gain Content Development
Creating unique data, case studies, and insights that LLMs prefer to cite. AI systems actively seek content that adds new information rather than repeating what already exists.
Semantic Content Organisation
Strategic use of clear headings, comparison tables, and structured lists that LLMs extract efficiently. Well-organised content improves AI visibility by 15-30% compared to unstructured content.
Brand Authority Building
Digital PR generates citations on high-authority platforms, industry publications, review sites, and professional directories. The broader your credible web presence, the more AI tools trust and cite your brand.
AI-Friendly Technical Architecture
Ensuring AI crawlers can access all relevant content, execute JavaScript correctly, and process your site efficiently. Technical barriers to AI crawling are as damaging as barriers to Google crawling.
MCP Adapter Configuration
Setting up the Model Context Protocol connections that allow AI assistants to discover your site's capabilities and interact with your content through the standardised interface WordPress 7.0 introduces in core.
Multi-Platform Presence Management
Coordinated optimisation across ChatGPT, Google AI Overviews, Perplexity, Claude, and emerging AI-powered search tools. Each platform weights different signals, requiring platform-specific configuration alongside the common foundation.
Continuous Performance Monitoring
Tracking brand mention frequency and sentiment across AI platforms, with monthly strategy adjustments as platforms evolve. LLMO is an ongoing discipline, not a one-time implementation.
Structured Data and Schema Markup
Why Schema Markup Is Central to LLM Optimisation
Schema markup is the most substantive and proven technical element of LLM optimisation. It gives AI systems machine-readable certainty about who you are, what you offer, and why you are credible, reducing the ambiguity that causes brands to be misrepresented or overlooked in AI-generated responses.
Organisation Schema
Declares your brand name, logo, contact details, location, social profiles, and founding date in a format AI systems can read directly. When an AI tool generates a response about your category, the Organisation schema allows it to reference your brand accurately, rather than approximating it from crawled text. It is the structured data foundation every business website needs.
Service Schema
Describes exactly what services you offer, their descriptions, pricing structure, and service area. For agencies and professional services, the service schema is particularly valuable because it allows AI tools to match your specific offering to queries that ask for recommendations, “best WordPress agency in Surrey”, with machine-readable precision rather than relying on keyword inference from page copy.
FAQ Schema
Marks up question and answer pairs in a format that AI systems extract directly into responses. AI tools actively look for clearly structured Q&A content when generating answers to informational queries. A well-structured FAQ section with proper schema markup is one of the most reliable ways to appear in AI-generated answers for the questions your target audience asks.
How We Implement Schema
Schema Pro and Rank Math, properly separated
Correct schema implementation requires keeping responsibilities cleanly separated between plugins to avoid conflicts and duplicate markup. On WordPress sites, we implement structured data using Rank Math for LocalBusiness, Website, WebPage, Breadcrumb, and Article schema, and Schema Pro for Service, FAQ, and Person schema.
This separation ensures every schema type is applied consistently across the right pages, validated correctly, and readable by AI crawlers without conflicting signals. It is a more sophisticated approach than applying a single plugin to everything, producing cleaner, more structured data.
Released 20 May 2026
WordPress 7.0 and AI
How WordPress 7.0 Changes AI Visibility
WordPress 7.0, the biggest release since Gutenberg launched in 2018, ships with native AI infrastructure built into the core for the first time. This is directly relevant to LLM optimisation; sites properly configured to leverage the new APIs will have a structural advantage in AI search visibility.
The centrepiece for AI integration is the Abilities API and AI Client. Rather than adding a built-in AI writer, WordPress 7.0 builds the infrastructure that allows AI models to understand what your site can do. The Abilities API works with the Model Context Protocol (MCP), enabling AI assistants, including Claude, ChatGPT, and others, to discover what capabilities a WordPress site exposes.
For WooCommerce stores, this is particularly significant. A product catalogue that is properly configured through the Abilities API can expose product attributes, pricing, stock levels, and availability in formats that AI shopping assistants can query directly. For service sites, it means AI tools can understand your service offering, location, and availability without relying purely on crawled page content.
Core Feature
Abilities API
Provides a standardised way for plugins to declare what your site can do, product catalogues, booking systems, and service listings, in a format AI models can directly understand. Replaces ad hoc integrations with a consistent interface.
Core Feature
AI Client
A provider-agnostic AI client built into WordPress core. Any AI service can register as a provider, giving plugin and theme developers a standardised route to AI capabilities without having to build individual integrations for each model.
Protocol
MCP Adapter
WordPress 7.0 ships with a Model Context Protocol adapter, allowing AI assistants, including Claude and ChatGPT, to discover a site's declared capabilities and trigger actions through a standardised, secure interface.
Admin
Connectors Dashboard
A new Settings > Connectors dashboard in WordPress admin lets site owners manage multiple external AI connections from one place, testing, adding, removing, and updating AI service integrations without touching code.
Our Process
How Every LLM Optimisation Engagement Works
1
Audit
AI Visibility Audit
We assess your current brand presence across major LLMs, audit your WordPress setup for AI compatibility, and identify the gaps between where you are and where you need to be.
2
Strategy
Strategy and Planning
A tailored LLMO strategy covering WordPress 7.0 Abilities API integration, content priorities, llms.txt configuration, and authority-building targets. Aligned to your commercial goals.
3
Implementation
Technical and Content Work
Implementation of AI-optimised content structures, schema markup, llms.txt configuration, technical WordPress optimisations, and multi-platform rollout across all major AI search tools.
4
Monitor
Monitoring and Improvement
Ongoing tracking of brand mention frequency, sentiment, and AI referral traffic. Monthly reports with visibility data and strategic adjustments as platforms evolve.
LLM Optimisation Questions
Common questions from UK businesses about AI search visibility, llms.txt, and how LLMO works alongside existing SEO.
What is LLM optimisation and how is it different from traditional SEO tools?
LLM optimisation (LLMO) is the practice of structuring your website content, technical setup, and brand presence so that large language models like ChatGPT, Perplexity, and Google AI Overviews cite your brand in their responses. Traditional SEO targets Google’s ranking algorithm to win clicks from search results pages.
LLMO targets AI systems that synthesise answers from across the web and directly recommend specific brands. The two disciplines complement each other, with the same technical foundations and content quality that help SEO rankings also improve LLMO visibility, but LLM adds specific layers, including llms.txt configuration, entity markup, and Abilities API integration that SEO alone does not cover.
How does WordPress 7.0 and the Abilities API affect LLM optimisation?
WordPress 7.0, released 20 May 2026, introduces native AI infrastructure into the core for the first time. The Abilities API allows plugins to declare what your site can do in a standardised format that AI models can directly understand.
The AI Client connects to AI models, and the MCP Adapter enables AI assistants to discover your site’s capabilities and trigger actions through the Model Context Protocol. For LLM optimisation, this means WordPress sites that are properly configured can communicate their capabilities directly to large language models rather than relying purely on crawled page content.
A WooCommerce store configured through the Abilities API can expose product data in ways AI shopping assistants can query in real time. For service websites, it means AI tools can understand your offering with greater precision and accuracy.
What is llms.txt and does my WordPress site need one?
llms.txt is a plain-text markdown file placed at the root of your website that guides AI crawlers to your most important content, similar in principle to how robots.txt guides search engine bots. Without it, AI crawlers discover and interpret your site structure independently, which means they may prioritise pages that are not commercially relevant or misrepresent your offering.
With a properly configured llms.txt file, you provide AI systems with a curated map of your site, directing them to the pages that matter most and giving them accurate descriptions of what you offer. We configure llms.txt and llms-full.txt as part of every LLMO engagement.
Rank Math’s llms.txt module is used on WordPress sites where it is installed. Fewer than 20% of domains globally have implemented this. For any WordPress site with commercial goals, having one is an immediate competitive advantage.
How long does it take to see results from AI search optimisation?
Initial indicators typically appear within 4-8 weeks: increased AI bot crawling activity, improved schema validation scores, and initial brand mentions beginning to appear in AI responses. Significant and consistent LLM visibility improvements generally require 3-6 months, as AI models update their knowledge and your authority-building efforts generate results across multiple platforms.
The timeline is influenced by your current brand authority, the amount of content you have available for AI systems to reference, the quality of the technical implementation, and the competitive landscape in your category. We track progress through early indicators, crawl activity, schema validation, and referral traffic from AI sources, so you have visibility on progress before the full results are visible.
Can LLM optimisation work alongside our existing SEO strategy?
Yes, and this is the most effective approach. LLMO complements existing SEO rather than replacing it. Many of the techniques overlap: high-quality content, proper schema markup, site performance, and brand authority benefit both search engine rankings and LLM visibility. Content structured clearly with headings, lists, and comparison tables improves both traditional search performance and AI citation rates. The key difference is emphasis.
Traditional SEO focuses on keyword rankings and link acquisition. LLMO prioritises entity recognition, information gain, and content that provides answers AI systems can confidently cite. We develop unified strategies that strengthen both simultaneously, ensuring your investment in SEO continues to compound while your AI search visibility grows.
Do you offer LLM optimisation as a standalone service, or only as part of web design?
We offer LLM optimisation both as a standalone engagement and as part of a broader WordPress web design or SEO project. For existing WordPress sites, we can conduct an AI visibility audit and implement a full LLMO strategy without rebuilding the site.
For clients commissioning a new WordPress website, LLM optimisation foundations are built in from the start as part of the project rather than added retrospectively. If you already have an active SEO retainer elsewhere, LLMO can complement that work by covering AI-specific elements your existing agency may not yet address.
Start Appearing in AI Answers.
Free consultation covering your current AI search visibility, what a full LLMO audit would reveal, and what implementation would involve for your WordPress site.
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