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Learn how you can become more visible in SEO & GEO and capture more revenue from search channels
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Our SEO and GEO strategies help your content get surfaced, cited, and trusted in ChatGPT’s AI-generated answers.
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"Choosing MADX Digital allowed us to delegate all organic marketing activities and get results on auto-pilot"
- Postalytics
We test how ChatGPT currently describes your brand — what it knows, what it gets wrong, and what competitor brands it mentions instead of you. This diagnostic gives us a precise picture of the gaps we need to close and the signals we need to strengthen.
We strengthen how your brand is defined and connected across the open web — structured sources, industry databases, and third-party references — so ChatGPT has clear, consistent, accurate information to draw from when your category comes up.
We restructure your highest-value pages into the formats ChatGPT reliably extracts from — direct answers, clear entity definitions, structured comparisons, and FAQ blocks that are easy to pull and attribute. Content that's easy to cite gets cited.
Third-party references are the strongest signal for LLM visibility. We run targeted campaigns to earn your brand mentions in the authoritative publications, datasets, and communities that ChatGPT draws from — building the off-site credibility that makes your brand the obvious answer.
ChatGPT generates responses based on patterns in its training data and, in retrieval-augmented versions, from live web sources. Brands that appear frequently in authoritative, well-structured content across the web are more likely to be mentioned. Entity clarity — how well the web defines what your brand does — is a key factor in whether and how ChatGPT refers to you.
Partly. Strong domain authority and high-quality content create the foundation — but ChatGPT uses different signals from Google's ranking algorithm. Schema markup, entity graph presence, and third-party brand mentions carry more weight in LLM visibility than traditional on-page SEO factors like keyword density or page speed.
Entity and schema improvements can affect how ChatGPT describes your brand within weeks if the model retrieves live web data. For training data influence, changes take longer — typically 3–6 months of consistent brand signal building. Our 3-month programme is designed to deliver measurable early visibility improvements while building the foundation for long-term citation growth.
Yes. We track your brand's appearance rate across a defined set of target queries, monitor how accurately ChatGPT describes your product and positioning, and measure share of voice versus competitors. Tracking is done through structured prompt testing and monitoring — not just anecdotal checks.
Month 1: Brand representation audit, entity mapping, and schema implementation. Month 2: Content restructuring, FAQ and definition block creation, and initial mention campaigns. Month 3: Authority building at scale and full citation tracking across target queries. You end the programme with measurable improvements in how ChatGPT represents and recommends your brand.
We offer 6 and 12-month programmes focused on scaling citation building, expanding content coverage, and monitoring ChatGPT's evolving sourcing behaviour. LLM optimisation is an ongoing programme — the brands that compound their visibility are the ones that stay active in the channel.
ChatGPT optimisation is a specific application within the broader GEO and AEO framework. It focuses on the signals and content formats that specifically influence ChatGPT's retrieval and generation behaviour — including OpenAI's crawling patterns, the sources it weights, and how it handles brand entities. We apply platform-specific knowledge on top of the broader AI visibility foundation.
