LLM Awareness
Generative Engine Optimization (GEO) for AI answer engines.
Our LLM Awareness service makes sure ChatGPT, Gemini, Perplexity, Claude, Copilot and Google AI Overviews recognize your brand, describe it accurately and recommend it to your buyers.
What Generative Engine Optimization is
Generative Engine Optimization is also known as Answer Engine Optimization (AEO) or AI SEO. More buyers now ask an AI assistant which supplier, product or agency to choose before they open a search results page. The answer they receive is generated from what the model learned in training and, increasingly, from sources it retrieves in real time. If your brand is missing from those sources, or described inaccurately, you are absent from the shortlist.
Generative Engine Optimization (GEO) is the practice of improving how AI systems understand, mention and cite your brand. It builds on strong technical SEO and content, clear entity signals and authoritative third-party coverage from digital PR, and adds measurement that traditional SEO tools do not provide.
To improve your LLM visibility, we track a defined set of buying-intent prompts across the leading AI platforms, measure your Share of Model against competitors and work on the content and sources that shape those answers.
Scope
What the service includes
- AI visibility audit
- How leading models currently describe your brand, products and competitors, including inaccuracies and gaps.
- Share of Model
- Your mention and citation rate versus competitors across a tracked set of category and buying-intent prompts.
- Entity optimization
- Structured data, knowledge-graph signals and consistent reference profiles so models resolve your brand correctly.
- Citable content
- Original data, clear definitions and answer-first pages that models can retrieve, quote and attribute.
- Source strategy
- Identifying the publications, directories and review platforms AI answers cite in your market, and earning presence there.
- Prompt tracking
- Monthly monitoring of AI answers, cited sources and brand sentiment across ChatGPT, Gemini, Perplexity, Claude, Copilot and AI Overviews.
Process
How we improve LLM visibility
- i.
Prompt set
Definition of the questions your buyers ask AI assistants at each stage of their decision.
- ii.
Baseline
Measurement of mentions, citations, accuracy and sentiment across platforms.
- iii.
Optimize
Entity, content and source work targeted at the gaps the baseline reveals.
- iv.
Track
Monthly Share of Model reporting and quarterly strategy review.
FAQ
Questions about LLM Awareness
What is the difference between GEO, AEO and AI SEO?
They describe the same discipline. Generative Engine Optimization (GEO), Answer Engine Optimization (AEO) and AI SEO all refer to improving how AI answer engines and AI search features find, understand, mention and cite your brand. We use GEO, but the work and the measurement are the same.
Is GEO different from SEO?
GEO shares foundations with SEO, but the goal and measurement differ. SEO aims for rankings and clicks on a results page. GEO aims for your brand to be mentioned, described accurately and cited inside AI-generated answers, and is measured through prompt tracking and Share of Model.
Which AI platforms do you track?
We track ChatGPT, Google Gemini, Google AI Overviews and AI Mode, Perplexity, Claude and Microsoft Copilot. The prompt set is tailored to your market and languages.
Can you change what an AI model says about us?
No one can edit a model's answers directly. We improve the information models rely on: your own content and structured data, and the third-party sources they retrieve and cite. Over time this increases accurate mentions and citations.
Related services
Part of one integrated program
Next step
Start with a free search audit
Tell us about your website and goals. We will return a complimentary assessment of your organic performance and your brand's visibility in AI-generated answers.