What Is LLM Optimisation?
LLM Optimisation is the practice of ensuring your brand is accurately represented, frequently cited and positively positioned across large language models and AI-powered search platforms. As a dedicated generative engine optimisation agency, we deliver the full spectrum of AI visibility services: AI Overviews Optimisation (AIO), Answer Engine Optimisation (AEO), Generative Engine Optimisation (GEO) and AI Citation monitoring — combining traditional SEO fundamentals with AI-specific strategies to build visibility where an increasing proportion of business discovery now happens.
The way people find businesses has changed fundamentally. Millions of people now ask ChatGPT, Perplexity and Google AI Overviews for recommendations instead of — or before — running a traditional Google search. When someone asks an AI “What are the best managed file transfer solutions for healthcare?” or “Who are the leading SEO consultants in the UK?”, the AI generates a response that either includes your brand or doesn’t. There is no page two. There are no ten blue links to scroll through. You are either cited in the answer or you are invisible to that user entirely.
LLM Optimisation is the discipline that determines which side of that equation you sit on.
Why LLM Ranking Matters in 2026
The growth in AI-powered search is not a future prediction — it is a measurable, current reality. Search volume for “LLM optimisation” has grown 600% year-on-year. “GEO agency” is up 1,300%. ChatGPT now serves over 300 million weekly active users. Google AI Overviews appear across an expanding proportion of informational queries. Perplexity handles hundreds of millions of queries monthly. These platforms are not replacing traditional search — they are augmenting it, and for many query types, they are becoming the primary discovery channel.
LLM ranking — your brand’s position and presence in AI-generated responses — is becoming as strategically important as organic ranking has been for the past two decades. The difference is that LLM ranking is not determined by the same signals as organic ranking, although there is significant overlap. LLM ranking depends on entity authority, content structure, topical depth, source trustworthiness and the specific mechanisms each AI platform uses to retrieve and evaluate information. Understanding these mechanisms — and optimising for them systematically — is what LLM Optimisation delivers.
The commercial implications are direct. Businesses cited in AI-generated answers receive qualified referral traffic, build brand authority through AI endorsement, and capture discovery opportunities that competitors miss entirely. Businesses not cited in these responses lose visibility to competitors who are — and the gap compounds over time as AI systems increasingly favour sources they have previously cited and trust.
The Four Pillars of LLM Optimisation
LLM Optimisation is not a single tactic — it is a strategic framework built on four interconnected disciplines. Each addresses a different dimension of AI visibility, and the most effective strategies integrate all four.
Answer Engine Optimisation (AEO)
AEO is the foundational layer. It ensures your content is structured to directly answer questions across every platform that responds to queries — featured snippets, People Also Ask, voice assistants, AI Overviews and LLM search engines. AEO is about being the answer, not just a link in the results. Our AEO approach includes the proprietary Answer Intent Framework — a systematic method for categorising questions by intent type and matching each to the optimal content format and structured data. Get AEO right, and every other pillar performs better.
AI Overviews Optimisation (AIO)
AIO is Google-specific — ensuring your content is selected, cited and accurately represented in Google’s AI-generated summaries that now appear at the top of search results for many informational queries. Given Google’s continued dominance of search traffic, AIO is arguably the most immediately impactful pillar for most businesses. AIO requires strong organic rankings as a foundation (Google sources AI Overviews primarily from pages that already rank well) combined with content structure and authority signals that meet Google’s additional AI-specific evaluation criteria.
Generative Engine Optimisation (GEO)
GEO targets AI-native search platforms — Perplexity, ChatGPT with search, Microsoft Copilot and Gemini — that use retrieval-augmented generation (RAG) to produce cited, synthesised answers. These platforms retrieve web content in real-time, evaluate source authority and generate answers that cite the sources they drew from. GEO ensures your content is retrieved, evaluated as authoritative and cited in these AI-generated responses. Our GEO guide covers the RAG pipeline in detail, including how each major platform selects and evaluates sources.
AI Citation Monitoring
AI Citation monitoring provides the measurement layer that makes LLM Optimisation accountable. You cannot optimise what you cannot measure. We systematically track how your brand appears across AI platforms — which queries trigger citations, which competitors are cited instead, how citation frequency changes over time, and where the highest-value citation opportunities exist. This monitoring informs ongoing strategy and provides the data needed to demonstrate ROI from LLM Optimisation investment.
How AI Optimisation Differs from Traditional SEO
AI optimisation and traditional SEO share significant foundations — strong content, technical excellence, authority signals — but the mechanisms differ in ways that require specific strategic adaptations.
Traditional SEO targets ranking positions in a list of results. AI optimisation targets citation in synthesised answers. In traditional SEO, you compete for ten positions on page one. In AI optimisation, you compete to be one of the three to eight sources an AI synthesises its answer from — or in some cases, the single source it cites for a specific claim. The evaluation criteria overlap (domain authority, content quality, topical relevance) but AI systems add additional layers: content structure and extractability, entity recognition and trust, factual specificity and evidence quality, and freshness relative to competing sources.
The most significant difference is the role of entity authority. In traditional SEO, a strong page can rank well even if the brand behind it is relatively unknown. In AI optimisation, entity recognition is foundational — AI systems need to trust the source entity before they will cite its content. This is why entity SEO is not just a related service but the strategic foundation of our entire LLM Optimisation approach. Businesses with strong entity signals see consistently better AI citation rates than businesses producing equivalent content without entity clarity.
The Entity Foundation
Every LLM Optimisation engagement we deliver is built on an entity SEO foundation. This is not a philosophical preference — it is an observable pattern from client results. The businesses that achieve the strongest LLM ranking improvements are those with clearly defined entity signals: consistent brand naming across platforms, comprehensive structured data, verified cross-platform presence, and strong topical associations between their brand entity and their expertise areas.
Our entity-first approach means we assess and strengthen entity signals before focusing on content and platform-specific optimisation. Using our Entity Authority Maturity Model — a four-level framework for diagnosing entity health — we identify exactly where each client sits and build a roadmap from their current state to the entity authority level required for consistent AI citation. For most businesses, reaching Level 3 (Topical Authority Entity) in the maturity model is the inflection point where AI citations begin appearing consistently. The entity SEO guide covers this framework in detail.
Our Approach: From Audit to Ongoing Optimisation
Our LLM Optimisation process follows a systematic methodology refined across multiple client engagements — from building the comprehensive healthcare IT content ecosystem for Coviant Software’s Diplomat MFT platform (generating 200+ enterprise leads through organic and AI-driven discovery) to developing criminal defence content strategies for Olliers Solicitors that capture both organic rankings and AI-generated answer citations.
Every engagement begins with an AI visibility audit: systematic testing of your target queries across ChatGPT, Perplexity, Google AI Overviews and Copilot to establish your baseline citation presence and identify competitive gaps. We then assess entity health, content architecture and structured data completeness before building a prioritised roadmap that addresses the highest-impact opportunities first.
The ongoing optimisation phase combines content strategy (comprehensive, authoritative content structured for AI extraction), technical implementation (structured data, entity consolidation, content architecture), and continuous monitoring (monthly AI citation audits, competitive analysis, strategy refinement). LLM Optimisation is not a one-off project — it is an ongoing discipline that compounds over time, with each month’s work building on the foundations established in previous months.
Who Benefits Most from LLM Optimisation
LLM Optimisation delivers the strongest returns for businesses where discovery and trust are critical to the sales process — typically B2B companies, professional services and specialist providers in competitive markets.
B2B and SaaS companies benefit because their target customers increasingly use AI platforms for vendor research and comparison. When a procurement manager asks Perplexity to compare managed file transfer solutions, being cited in that response is a direct pipeline opportunity. Our Coviant Software engagement demonstrates this: a systematic content ecosystem that positions the brand as a cited authority across AI platforms for healthcare IT, HIPAA compliance and managed file transfer queries.
Professional services firms — solicitors, consultancies, agencies — benefit because AI recommendations carry implicit endorsement. When someone asks ChatGPT “What should I look for in a criminal defence solicitor?” and the response references your firm’s expertise, that builds trust before the prospect ever visits your website. Our work with Olliers Solicitors applies this principle to criminal defence and motoring law.
Specialist providers in defined niches benefit because AI systems preferentially cite sources with deep, focused expertise. A niche specialist with comprehensive content and strong entity signals in their specific domain can achieve AI citation rates that generalist competitors with larger websites cannot match. This is the entity-driven advantage that makes LLM Optimisation particularly powerful for focused businesses.