Generative Engine Optimisation
GEO strategy for answer-led discovery
Explore the programme ↗Market focus
AI Search Strategy for B2B Software.
Category education, evaluation and differentiation. Software buyers use AI to define a category, frame a requirements list, compare alternatives and test integration fit. Feature pages rarely explain enough of the operating context for a platform to become a credible recommendation.
01 / Research journey
What people need
before they choose.
Software buyers use AI to define a category, frame a requirements list, compare alternatives and test integration fit. Feature pages rarely explain enough of the operating context for a platform to become a credible recommendation.
We use these questions to distinguish a useful market architecture from a set of loosely related landing pages. Each question needs a clear answer owner, a credible evidence source and an appropriate next action.
What category problem does this platform solve?
Map the language, source types, evidence gaps and page roles before choosing a content format.
Which teams, workflows and integrations fit the product?
Map the language, source types, evidence gaps and page roles before choosing a content format.
What should a buyer compare before a demo?
Map the language, source types, evidence gaps and page roles before choosing a content format.
What changes during implementation and adoption?
Map the language, source types, evidence gaps and page roles before choosing a content format.
02 / Evidence model
Information that
can carry a decision.
Software buyers use AI to frame a category, compare options and narrow a long list. Feature pages rarely supply enough decision context to earn inclusion. Our starting point is not a keyword list. It is an inventory of what B2B software and platform teams can verify, what needs expert review and where an independent source adds necessary confidence.
- category education and use cases
- integration and implementation detail
- role-based workflow explanations
- credible customer and ecosystem evidence
A feature inventory cannot carry category, alternative and implementation questions on its own.
03 / Relevant programmes
Only the work
this market needs.
We do not automatically combine every service with every market. These are the programmes with a specific brief, decision context and evidence model for B2B Software & Platforms.
LLM Visibility Audit
A baseline for your AI answer presence
Explore the programme ↗AI Search Content Strategy
Content systems for high-consideration questions
Explore the programme ↗LLM Monitoring & Reporting
A decision-ready view of answer visibility
Explore the programme ↗04 / Practical questions
Does GEO replace SEO in this market?
No. Strong search foundations remain essential. GEO adds a focus on how evidence, entities and useful sources support answer-led research and recommendation.
Which assets should a team prepare first?
Begin with the evidence that answers the questions above: current product, place, expert or service information; proof; ownership; and the constraints on what can be claimed.
Can every service be a separate landing page?
Only when it has a distinct market brief. Pages that repeat a generic method are kept out of the sitemap until they can offer a meaningful perspective.
How do we decide what to do first?
We combine commercial consequence, evidence availability, user risk, market maturity and technical feasibility. The first page is not always the one with the most obvious keyword; it is the one where a better answer can change a meaningful decision.