AI Visibility · GEO

Become the brand AI recommends

When a buyer asks ChatGPT, Claude, Gemini, Perplexity or Copilot for the best option in your category, an answer already exists. We work on what that answer says about you, on every model rather than only one.

AI share of voiceillustrative
Your brand46%
Competitor A31%
Competitor B18%
Others5%
Become the brand AI recommends
ChatGPTClaudeGeminiPerplexityCopilotGoogle

Earned presence compounds

ChatGPT Ads buy you a place inside one assistant for as long as you pay. AI visibility is the broader, earned side: it applies to every model, it compounds, and it carries the credibility of a recommendation rather than an ad.

These engines pull from search indexes, structured data and trusted mentions across the web, which is exactly why classic SEO still matters here. Visibility is engineered rather than hoped for, and it can be measured month over month.

What we work on

The six levers that decide whether an AI engine knows, trusts and cites your brand.

  1. 01

    AI visibility audit

    We measure how often, and how favorably, each engine mentions you for your money questions, and where competitors take your place.

  2. 02

    Entity and knowledge signals

    Consistent brand facts across your site, schema.org markup, directories and profiles, so engines know exactly who you are.

  3. 03

    Citable content engine

    Definitions, comparisons and data-backed pages written the way models quote: clear, structured and specific.

  4. 04

    Technical foundation

    llms.txt, structured data, clean HTML, crawlability and fast server response so AI crawlers actually reach your content.

  5. 05

    Authority and mentions

    Digital PR and placements on sources the models already trust, because citations follow credibility.

  6. 06

    Monitoring and reporting

    Monthly tracking of your AI share of voice across ChatGPT, Gemini, Perplexity and AI Overviews, with the next actions attached.

Explore each part of the programme

GEO, AI search, recommendations, sentiment and share of voice, in detail.

How an engagement runs

  1. 01

    Baseline

    We record how the major engines answer your category questions today and where your brand stands.

  2. 02

    Fix the foundation

    Technical SEO, structured data, entity consistency and llms.txt: the prerequisites for being read correctly.

  3. 03

    Publish and earn

    A steady stream of citable content plus targeted mentions on sources that models trust.

  4. 04

    Measure and iterate

    Monthly share-of-voice reporting; we double down on the queries and formats that move.

AI visibility questions

How long until we see results?

Structured data and content fixes can surface within weeks because retrieval-based engines pull live data. Deeper, training-level visibility takes longer and compounds.

Is this just SEO with a new name?

It shares a foundation with SEO but the target is different: not a ranked list, but being the cited answer. That changes content format, entity work and how success is measured.

Can you guarantee ChatGPT will recommend us?

No serious agency can guarantee a model output. What we can do is systematically improve every signal these engines use, and report the movement honestly each month.

Do we need this if our SEO is already strong?

Strong SEO helps, but it is not sufficient. Engines cite content that is structured for extraction and brands whose identity is unambiguous across the web. That is separate work.

Get found where your customers actually search

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