Why Generative Search Optimisation Is Critical for AI Visibility
Search is no longer limited to the SERP.
Today, tools like ChatGPT, Gemini, Perplexity, and Claude are generating direct answers — recommending products, summarising brands, and bypassing traditional blue links. If your content isn’t structured for inclusion in these environments, you’re missing out on a fast-growing discovery channel.
Generative Search Optimisation (GSO) is designed to ensure your brand is retrievable, referenced, and trusted by these AI systems — securing your visibility in the next wave of search.
How Generative Search and SEO Work Together
GSO isn’t a replacement for SEO — it’s the evolution of it.
Where traditional SEO focuses on crawlability, keyword targeting, and ranking in SERPs, GSO focuses on semantic clarity, LLM retrievability, and structured content that language models use to form responses.
| Traditional SEO | Generative Search Optimisation |
|---|---|
| Google/Bing-focused | LLMs (ChatGPT, Gemini, Claude, etc.) |
| Keyword intent targeting | Prompt pattern and entity targeting |
| Meta tags, canonicalisation | Structured data for AI comprehension |
| Link building for authority | Trusted citations in training sets |
| Featured snippets & schema | Appearing in AI-generated responses |
By aligning your SEO and GSO strategies, you build a dual-channel visibility model — optimising for both traditional and AI-driven search.
What’s Included in Our Generative Search Optimisation Service
1. Generative Visibility Audit
We test your brand, products, and key topics across ChatGPT, Gemini, Perplexity, and Claude to uncover:
Where your brand is visible (or not)
How your content is interpreted by AI
Which competitors are being surfaced instead
2. Semantic & Structural Optimisation
We enhance the retrievability and clarity of your content through:
Schema.org structured data
Clean, semantic HTML with defined entities
Modular content blocks (FAQs, instructions, comparisons) that align with LLM prompt structures
3. Entity & Source Alignment
We help models understand and trust your brand by:
Aligning with Wikidata, Crunchbase, LinkedIn, etc.
Clarifying disambiguation (so LLMs cite your company, not a similar one)
Ensuring your authors, products, and services are consistently defined across the web
4. RAG & AI Bot Accessibility
Generative AI often uses RAG (Retrieval-Augmented Generation) to pull real-time content from sites. We make sure your site is:
Crawlable and indexable by AI-oriented bots
Optimised for content feeds, documentation sets and JSON-LD
Structured in ways that can be ingested into private LLP workflows (enterprise use cases)