AI & LLM Optimisation
AI systems like ChatGPT, Perplexity, Claude, and Google's AI Overviews are rapidly replacing traditional search as the primary way businesses are discovered. This pillar covers how to position your business so that large language models consistently recommend you — from technical crawlability and E-E-A-T signals to entity coherence and AI-specific content strategy.
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AI Optimisation for B2B vs B2C: Key Differences
B2B and B2C businesses optimise for AI differently. Learn how citation patterns, authority signals, decision complexity, and content types differ between segments.
Building Topic Clusters That AI Understands
Topic clusters work for traditional SEO, but AI systems require denser, more explicitly linked clusters. Learn architecture, internal linking, and how LLMs map topical relationships.
How AI Crawlers Differ from Google's Spiders — and Why It Changes Everything
GPTBot, ClaudeBot, and PerplexityBot crawl differently than Googlebot. Learn the technical differences, robots.txt implications, and how to optimise for both simultaneously.
How AI Handles Conflicting Information About Your Business Online
When AI finds contradictory information about your business, it doesn't know which is correct. Learn entity coherence, cross-platform consistency, and how to audit conflicting claims.
How Google's AI Overviews Are Changing Search Results — and What It Means for Your Business
Google's AI Overviews are reshaping search results. Learn how they work, impact click-through rates, and how to optimise your B2B business for AI-generated summaries.
How to Track Whether AI Tools Are Recommending Your Business
Track AI recommendations across ChatGPT, Perplexity, Claude, Gemini and more. Learn systematic testing, monitoring cadence, competitive benchmarking, and how to interpret results.
How Voice Assistants Use LLM Recommendations to Answer Questions
Siri, Alexa, and Google Assistant are being rebuilt on LLMs. Learn how voice AI differs from text AI, the implications for B2B visibility, and how to optimise.
The Technical Checklist: Is Your Website AI-Ready?
20+ technical elements determine whether AI crawlers can extract information from your site. Use this checklist to audit your website and fix gaps preventing AI visibility.
What Is E-E-A-T and Why AI Cares About It More Than Google Ever Did
E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is crucial for AI systems. Learn how LLMs interpret each signal and build a practical checklist to strengthen your authority.
Why AI Penalises Thin Content and How to Fix It
LLMs detect thin, duplicated, and padded content at scale. Learn how AI systems identify low-quality content and the remediation framework to improve your entire content library.
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10 articlesReady to see where you stand?
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