AI Optimisation Services: Get Your Brand Recommended by ChatGPT & AI Assistants

AI optimisation is the process of making sure your brand, products and services are accurately represented and recommended by AI assistants like ChatGPT, Claude, Perplexity and Copilot. When potential customers ask these systems for recommendations in your industry, you want to be the answer they get.

With over 100 million people using ChatGPT every month and AI-powered search growing fast, traditional SEO alone is not enough. AI optimisation keeps you visible where customers increasingly do their research.

Most clients see initial improvements within 2 to 4 weeks of implementation. Full AI optimisation typically takes 6 to 12 weeks to reach maximum impact across all the major AI platforms. The timeline depends on:

• your current online presence and content quality
• how competitive your industry is
• the number of AI platforms we are optimising for
• how complex your products or services are.

We track AI mention frequency and recommendation quality weekly to measure progress throughout.

All the major AI assistants and search platforms, including:

• Conversational AI: ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google) and Copilot (Microsoft)
• AI-powered search: Perplexity, Google SGE (Search Generative Experience), Bing AI Chat and You.com
• Emerging platforms: Character.AI, Poe by Quora and new AI assistants as they launch.

We monitor the AI landscape continuously and adapt our approach as new platforms gain adoption.

Primary metrics

• AI mention frequency: how often you are recommended
• Recommendation quality score: the accuracy and context of mentions
• Share of AI voice in your category
• AI-driven website traffic and conversions

Secondary metrics

• Brand entity recognition across AI platforms
• Semantic association strength with key terms
• Voice query capture rate
• Knowledge graph presence and accuracy

Monthly reports show your AI visibility against competitors, and we track return through AI-attributed leads and sales.

AI optimisation works across all industries, but some see particularly strong results:

• professional services (legal, accounting, consulting)
• healthcare and medical services
• technology and software companies
• e-commerce and retail
• financial services
• education and training.

They benefit most because their customers research heavily, their products need explaining, trust and credibility decide the sale, customers often ask AI for recommendations, and high lifetime customer value justifies the investment.

Traditional industries such as manufacturing, construction and hospitality benefit too, as more B2B buyers use AI for vendor research.

Most agencies focus on traditional SEO and paid advertising, with AI optimisation as an afterthought. We are AI-first specialists, with a method developed specifically for AI assistants.

• Proprietary AI indexation system: custom crawling and indexation methods so AI systems can discover, parse and understand your content the way they need to, not the way search engines do.
• AI-driven metrics: instead of traditional rankings, we measure AI recommendation frequency, response accuracy, semantic association strength and direct AI-to-conversion attribution.
• Strategic AI link building: authority built for AI systems through entity relationship mapping, knowledge graph enhancement and the contextual signals AI assistants trust and reference.
• Multi-platform synchronisation: optimisation across all the major AI assistants at once, with platform-specific strategies for ChatGPT, Claude, Perplexity and emerging systems.
• Real-time AI adaptation: continuous monitoring and optimisation as AI algorithms change, so visibility holds through platform updates.

What sets us apart

• Proprietary AI tracking technology: custom-built tools that monitor your brand mentions across 15+ AI platforms in real time.
• An AI-first link building network: relationships with high-authority sites optimised for AI discovery and citation.
• Measurable AI ROI: direct conversions tracked from AI assistant recommendations, not just traffic or rankings.
• Technical AI architecture: deep understanding of transformer models, semantic processing and knowledge graph integration.