Generative Search (GEO / GSO) Services

We ensure your brand is retrievable, referenced, and trusted by AI systems in the next wave of search.

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Why Generative Search Optimisation Is Critical for AI Visibility

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

Entity & Source Alignment

Building trust signals for AI systems

Semantic & Structural Optimisation

Enhanced content structure for better AI comprehension

RAG & AI Bot Accessibility

Optimizing for real-time content retrieval

Generative Visibility Audit

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

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

Surfacing

Ensuring your content is surfaced for LLMs and other AI tools

Parsability

Understanding the blockers that stop LLMs from accessing or parsing your content

Clear Actions

Implementing clear and actionable insights in order to improve LLM and AI accessibility

Examples Of How We Do It

Generative Visibility Audit

We begin by comprehensively analyzing your site's current positioning and brand visibility within Large Language Models (LLMs) for key search terms, utilizing both proprietary and third-party tools.

Identify Content & Knowledge Gaps

Based on our initial audit, we pinpoint specific content and knowledge gaps that LLMs identify within your website's topics and keywords.

Develop LLM-Driven Strategy

An actionable plan is then generated from these LLM insights, which is fed into advanced AI models (such as Gemini, GPT, Sonar, and Claude) for deep research. This helps identify real search queries occurring within each LLM related to your core topics.

Implement & Optimize

Finally, we construct a data-driven action plan for both SEO and LLM/AIO/GEO optimization, ensuring continuous improvement based on real-time data and insights.