Why Generative Search Optimisation Is Critical for AI Visibility
Ensure your brand is retrievable, referenced, and trusted by AI systems in the next wave of search.
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
Traditional SEO
- Google/Bing-focused
- Keyword intent targeting
- Meta tags, canonicalisation
- Link building for authority
- Featured snippets & schema
Generative Search Optimisation
- LLMs (ChatGPT, Gemini, Claude, etc.)
- Prompt pattern and entity targeting
- Structured data for AI comprehension
- Trusted citations in training sets
- Appearing in AI-generated responses
GSO / GEO / AIO (insert new acronym here) 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.
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:
Generative Visibility Audits
Comprehensive analysis of your brand’s presence across AI platforms
Semantic & Structural Optimisation
Enhanced content structure for better AI comprehension
Entity & Source Alignment
Building trust signals for AI systems
RAG & AI Bot Accessibility
Optimizing for real-time content retrieval
Examples Of How We Do It
It all starts with understanding how your site is currently positioned within LLMs as a brand, but uniquely to us, for any given keyword. We use third party tools combined with our own in-house analysis tools.
Once we have this information, we can then identify what the LLMs perceive to be content or knowledge gaps within the topic / keyword for your website.
We then generate an action plan based on the LLMs insights which is then fed into Gemini, GPT, Sonar, Claude etc for them to conduct deep research.
During this process we also can identify real searches that are being carried out within each LLM that relates to the parent topic.
Long story short – we then can build a real life action plan based on real data and insights for both SEO and LLM / AIO / GEO optimisation.
Ready to evolv. into generative search optimisation?
Get in touch to discuss how we can ensure you’re at the forefront of the new era of search. With proven experience and client success stories, you’re in safe, cutting edge hands.
Generative Visibility Audit
We test your brand, products, and key topics across ChatGPT, Gemini, Perplexity, and Claude to uncover how LLMs are treating your site.
- Where your brand is visible (or not)
- How your content is interpreted by AI
- Which competitors are being surfaced instead (and why)
Semantic & Structural Optimisation
We enhance the retrievability and clarity of your content through several important factors that we know LLMs want to see.
Schema.org structured data
Implementing comprehensive markup that helps AI systems understand your content’s context and purpose
Clean, semantic HTML with defined entities
Creating clear content hierarchies that AI can easily parse and reference
Modular content blocks
Developing FAQs, instructions, and comparisons that align with LLM prompt structures
Entity & Source Alignment
We help models understand and trust your brand by ensuring best practices are followed.
- 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
RAG & AI Bot Accessibility
Generative AI often uses RAG (Retrieval-Augmented Generation) to pull real-time content from sites.
- Ensuring your content is surfaced for LLMs and other AI tools
- Understanding the blockers that stop LLMs from accessing or parsing your content
- Implementing clear and actionable insights in order to improve LLM and AI accessibility
Examples Of How We Do It
It all starts with understanding how your site is currently positioned within LLMs as a brand, but uniquely to us, for any given keyword. We use third party tools combined with our own in-house analysis tools.
Once we have this information, we can then identify what the LLMs perceive to be content or knowledge gaps within the topic / keyword for your website.
We then generate an action plan based on the LLMs insights which is then fed into Gemini, GPT, Sonar, Claude etc for them to conduct deep research.
During this process we also can identify real searches that are being carried out within each LLM that relates to the parent topic.
Long story short – we then can build a real life action plan based on real data and insights for both SEO and LLM / AIO / GEO optimisation.