AI Search Optimisation (AISO): How Perplexity, Gemini & SearchGPT Find Your Business

The Shift from Traditional SEO to AI Search (AISO)

For two decades, Search Engine Optimisation (SEO) revolved around keywords, backlink profiles, and domain authority to appease Google's PageRank algorithm. In 2026, the landscape has changed. Users are increasingly turning to Large Language Model (LLM) engines like Perplexity, ChatGPT Search, Gemini, and Claude for direct operational advice and service recommendations. Optimising for these engines is called AI Search Optimisation (AISO).

How AI Retrieval Engines Parse Your Site

Unlike standard web crawlers that list links based on indexing algorithms, AI search engines use Retrieval-Augmented Generation (RAG). When a user asks: "What is the best custom CRM developer in London with GDPR compliance?", the AI model performs real-time queries. It crawls, extracts, reads, and synthesises content from matching websites, citing the most reliable sources. To be selected, your codebase must meet strict structural standards:

• Detailed JSON-LD Schemas: AI crawlers look for machine-readable JSON-LD metadata graphs. By defining exact specifications using Schema.org types (such as ProfessionalService, Product, or FAQPage), you help AI agents parse details directly.
• Semantic Hierarchy and Direct Answers: LLM agents extract information using text chunking. Writing clean, semantic HTML5 headings and clear paragraphs ensures the model extracts your service definitions and outcomes accurately.
• Publicly Indexable Case Studies: AI search prioritises actual case studies that showcase verifiable metrics. Demonstrating real outcomes with numerical results increases the confidence score of AI retrieval filters.

Actionable Technical AISO Checklist for UK Developers

If you want to ensure your web platforms are readable by LLM crawlers, implement this technical optimization checklist:

1. Ensure robots.txt Permits AI Crawlers: Do not block User-Agents like OAI-SearchBot, PerplexityBot, or Google-Extended unless you want to remain hidden from AI chat recommendations.
2. Inject Context-Specific Structured Data: Inject precise JSON-LD structured script blocks dynamically based on route patterns, ensuring every service location is crawlable.
3. Optimize Web Performance: AI agents require fast response times when running real-time scraping queries. A slow site is frequently bypassed by AI scrapers in favor of faster resources.