Generative Engine Optimisation

Get Cited in the AI Answers Your Buyers Already Trust

ChatGPT, Perplexity, Gemini and Claude are answering buyer questions before anyone reaches your site. Generative Engine Optimisation positions your brand to be the citation, the reference, and the source these systems pull from. Visibility in AI-generated answers is the new top-of-funnel.

We work with brands losing organic traffic to AI overviews and generative search.

Why GEO Is Now a Required Discipline

The first answer a prospect sees about your category often comes from an LLM, not a search results page. If your brand is not present in that answer, you are invisible to the buying decision before it begins. The mechanics of visibility have changed and traditional SEO does not cover them.

AI overviews are absorbing your traffic

Google's AI Overviews now occupy the entire above-the-fold on commercial queries. Clicks that used to reach you go nowhere. Without optimisation, you are not even in the citation set.

LLMs cite a handful of sources, you are not one

When ChatGPT or Perplexity answers a question about your category, three to five domains get cited. Most brands have never audited whether they are in that set, let alone tried to optimise their way in.

Schema gaps mean LLMs miss your content

Structured data, entity definitions, and machine-readable facts are how LLMs build trust in a source. Most sites still treat schema as an SEO afterthought, not a citation lever.

Brand mentions in LLM training data matter more than backlinks

A backlink influences search ranking. A brand mention across authoritative sources, podcasts, Reddit threads, and curated lists influences whether the model has heard of you at all.

What Our GEO Engagement Includes

A structured programme to make your brand visible, citable, and recommended across the generative engines your buyers use.

01

LLM Visibility Audit

We test your brand and category across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. We map where you appear, where you do not, and which competitors are taking the citations.

02

Content Architecture for Generative Citation

Content rewritten and restructured to be quotable: clear definitions, supported claims, original data, and language patterns that match how LLMs extract and attribute.

03

Schema & Structured Data for AI Crawlers

Entity definitions, organisation schema, FAQ markup, and topic ontology built to be machine-readable. We also configure your site for the new generative crawlers (GPTBot, PerplexityBot, ClaudeBot, Google-Extended).

04

Brand Mention Engineering

Strategic placements in authoritative sources LLMs read: comparison articles, category roundups, podcasts with transcripts, Reddit threads, Wikipedia citations. Mentions where the model can find them.

05

LLM Brand Tracking & Measurement

Ongoing monitoring of brand mentions, sentiment, and citation share across the major LLMs. You see exactly how often you appear and against whom.

06

Quarterly Citation Strategy Reviews

Every 90 days we review citation share, identify new query opportunities, and adjust the content and authority strategy as model behaviour evolves.

Who This Is For

B2B brands seeing organic traffic decline against rising rankings

You rank higher than ever and traffic is flat or falling. That gap is the AI Overview taking the click. GEO is how you get it back.

Categories where buyers ask AI for vendor recommendations

SaaS, professional services, and considered-purchase categories. If buyers ask ChatGPT "best X for Y", being in that answer is now a primary distribution channel.

Companies competing for "best of" and comparison queries

The LLM ecosystem heavily weights comparison content. Brands that engineer their way into these answers compound advantage quickly.

Brands with strong content but poor LLM presence

You have invested in SEO and content. The content is good. The problem is that none of it is structured for generative engines. That is fixable.

How We Run a GEO Engagement

  1. 1

    LLM Visibility & Citability Audit

    30 to 60 brand and category queries tested across the major LLMs. Citation share, sentiment, and competitive presence mapped. Gaps prioritised by commercial value.

  2. 2

    Foundational Schema & Content Restructure

    Entity, organisation, and topic schema implemented. Core pages restructured for citability. Generative crawler access verified.

  3. 3

    Authority Building Across Citation Sources

    Placements in the sources LLMs read most: comparison articles, expert roundups, authoritative third-party content, podcast transcripts. Brand entity strengthened in training-relevant data.

  4. 4

    Tracking & Iteration

    Weekly LLM monitoring. Monthly citation share reports. Quarterly strategic adjustments as new models and behaviours emerge.

Generative Engine Optimisation: Frequently Asked Questions

Generative Engine Optimisation is the discipline of making a brand visible and citable within answers generated by large language models such as ChatGPT, Google AI Overviews, Perplexity, Gemini, and Claude. It overlaps with SEO but the levers are different.

Be the Answer, Not Just a Search Result

Book a strategy call. We will run a live test of your brand across ChatGPT, Perplexity, Gemini and Google AI Overviews on the call and show you where you stand, in real time.