Weeks 1–2 — Audit & Baseline
Full generative visibility audit. Competitor displacement mapping. Baseline LLM visibility scores established.
GSO / GEO / AIO Services
LLM & Generative Search Optimisation — be found in AI, not just Google
ChatGPT, Perplexity, Gemini, and Claude now answer millions of commercial searches every day. We help enterprise technology brands get retrieved, referenced, and trusted by these systems.
The visibility gap
The visibility gap no one is measuring
AI search is already happening
ChatGPT, Perplexity, Gemini and Claude are recommending vendors to consider before they even reach Google. If your brand isn't those answers, you're not in that consideration set.
Traditional SEO doesn't transfer
A page optimised for keywords may never appear in an AI-generated response, no matter how well it ranks. LLMs evaluate semantic authority and entity trust — not PageRank.
This is costing pipeline now
AI-referred traffic converts at 5x the rate of traditional organic. Every week without a GSO strategy is a week your competitors are being recommended instead.
Measurement barely exists
Only 16% of brands systematically track AI search visibility. We measure it from day one — citation share by topic, sentiment in AI responses, and referral conversion rate.
Platform optimisation
Each AI platform has different citation patterns
We optimise for each platform's specific retrieval behaviour — not a one-size approach.
ChatGPT
Prioritises encyclopedic, definitional content with clear entity structure. Responds to Wikipedia-pattern openings: definition first, attributed statistics second. Enterprise adoption at 67%.
Perplexity
Heavy bias toward recent, community-vetted sources. High-recency content and distribution across trusted forums and publications is critical. Reddit accounts for nearly half of top citations.
Google AI Overviews & AI Mode
Draws heavily from Google's own index and E-E-A-T signals. Structured data and semantic clarity are the key differentiating factors alongside traditional ranking signals.
Microsoft Copilot
Embedded in the tools where enterprise procurement happens — Teams, Outlook, Word. At 58% enterprise adoption, it's the most commercially relevant platform for B2B technology brands.
What we do
What our LLM optimisation service covers
Generative Visibility Audit
We establish a clear baseline across ChatGPT, Gemini, GPT, Sonar and Claude. Full audit across all major AI platforms, competitor displacement mapping, topic and knowledge gap identification, prioritised by retrieval impact.
Entity & Source Alignment /
LLMs form judgements based on how consistently your brand is defined across sources. We align entity signals across Wikidata, Crunchbase and LinkedIn, resolve disambiguation issues, and place content in LLM-weighted sources.
Semantic & Structural Optimisation
From LLM insights, content is fed into advanced AI models for deep research. This identifies exactly which queries your content should own within each LLM related to your core topics.
RAG & AI Bot Accessibility
Technical barriers mean your content won't appear regardless of quality. We resolve AI bot accessibility issues, parasitality conflicts, robots.txt directive problems, and content delivery issues.
SEO vs GSO
How LLM Optimisation Differs From Traditional SEO
GSO isn't a replacement for SEO — it's the layer above it. Both disciplines matter, and they reinforce each other when aligned correctly.
| Category | Traditional SEO | LLM Optimisation (GSO) |
|---|---|---|
| Target systems | Google, Bing SERPs | ChatGPT, Perplexity, Gemini, Claude, AI Overviews |
| Primary signal | Backlinks, keyword relevance | Semantic structure, entity trust, citation patterns |
| Content goal | Rank for queries | Be retrieved and cited in AI-generated responses |
| Key techniques | Meta tags, link building, canonicalisation | Schema markup, structured data, entity alignment |
| Measurement | Clicks, impressions, rankings | LLM visibility scores, citation frequency, prompt coverage |
| Output | Blue link in SERP | Brand mention in AI-generated answer |
How an engagement works
Week 3 — Strategy & Prioritisation
Quick wins identified. Longer-term content strategy delivered. Citation alignment work begins.
Ongoing — Implementation
Content briefs developed and executed. Citation placement in LLM-weighted sources.
Monthly — Measurement & Iteration
LLM visibility tracking. GSC and AI referral analytics. Competitive monitoring. Strategy adjusted on latest shifts.
Frequently Asked Questions
What is LLM optimisation?
LLM optimisation (also called Generative Search Optimisation or GSO) is the practice of structuring your content and digital presence so that large language models — ChatGPT, Gemini, Perplexity, Claude, and others — retrieve, reference, and cite your brand accurately in their responses. It's distinct from traditional SEO, which focuses on ranking in Google's SERP. LLM optimisation focuses on appearing in AI-generated answers.
How is LLM optimisation different from SEO?
Traditional SEO optimises for search engine crawlers and ranking algorithms — backlinks, keyword relevance, meta tags. LLM optimisation targets the retrieval and reasoning processes of language models — semantic clarity, entity trust, structured data, and citation patterns. The two disciplines are complementary, not competing. A strong LLM optimisation strategy builds on a solid SEO foundation.
Which AI platforms do you optimise for?
We optimise for all major AI search surfaces: ChatGPT (including GPT-4o's web browsing), Perplexity, Google Gemini, Claude, Microsoft Copilot, and Google's AI Overviews in Search. Each platform has different retrieval behaviours — we audit and optimise for each individually.
How do you measure LLM visibility?
We use a combination of proprietary tooling and third-party LLM visibility platforms to track how your brand and key topics appear across AI systems. Metrics include citation frequency, prompt coverage (how many relevant queries surface your brand), competitive displacement rate, and sentiment accuracy. We also monitor Google Search Console for AI Overview impressions alongside traditional ranking data.
How long does it take to see results?
Structural fixes — schema, entity alignment, accessibility — can produce measurable changes in AI visibility within 4–8 weeks. Content-driven improvements typically show impact over a 3–6 month horizon, in line with how LLMs update their knowledge and retrieval patterns. We establish a baseline in the first two weeks so progress is always measured against real data.
What's the difference between GEO, GSO, AIO and AEO?
They're all names for the same discipline — optimising for visibility in AI-generated answers rather than traditional search rankings. GEO is the most widely used term in 2026. We use GSO because it best captures the generative search layer specifically. AIO is the broadest umbrella; AEO was the original term, now largely absorbed into GEO.
How does AI-referred traffic convert vs organic?
Significantly better. B2B SaaS data from 2025 shows AI-driven traffic converting at 14.2% versus 2.8% for traditional organic — a 5x advantage. AI-referred visitors have typically already been pre-qualified by the model's recommendation.
Do you work with Google AI Overviews as well as ChatGPT?
Yes — all major AI platforms are in scope: ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Microsoft Copilot, Claude, and Gemini. Each has different citation patterns, so our approach is platform-specific.
Work with a generative search agency
Ready to Close the AI Visibility Gap?
If your brand isn't appearing in AI-generated answers for your category, your competitors probably are. We'll show you exactly where you stand and what it takes to change it.
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