Start with the questions your audience is trying to answer
You need to know whether AI answers help people discover, compare and understand your offer. Research starts with your audience, products and buying decisions, then builds a prompt sample that reflects those needs.
Across the agreed Google AI features or conversational assistants, you see where your organisation appears, how it is represented, which sources are cited and where competitors have an advantage. The findings give you specific questions to investigate.
Investigate visibility as a system
Owned pages are one part of the evidence available to AI systems. Reviews, publications, communities, reference sources, product information and established entities can all affect what is retrieved and how an organisation is described.
- Prompt and journey coverage
- Brand inclusion, recommendations and descriptive accuracy
- Cited domains and source patterns
- Competitor visibility and message differences
- Crawlability, indexability and textual availability of important information
- Entity consistency and supporting third-party evidence
- Content gaps where the organisation has genuine expertise to contribute
Build a programme that can survive platform change
AI interfaces, models and measurement products will continue to change. A useful strategy therefore separates durable foundations from platform-specific experiments. Clear information, strong evidence, accessible pages, reputable references and disciplined measurement remain useful even when an interface changes.
Your team gets defined ownership, review cycles and guidance on when a new observation warrants action. You can explain the findings to leadership, make the limitations clear and decide which experiments deserve investment.
Strategy, enablement and implementation guidance
You can commission a strategy and roadmap, add implementation guidance or include remote workshops for your content, PR, product and SEO teams. Each team leaves knowing its role, the next actions and how the work will be reviewed.
What you receive
- A clear definition of the audiences, journeys and prompts worth measuring
- A baseline across agreed AI-search environments and traditional search evidence
- Analysis of citations, sources, entity interpretation and competitor presence
- A prioritised strategy across owned content, technical foundations and third-party signals
- Measurement and reporting guidance that the team can repeat
- Remote workshops for stakeholders, content teams and specialists
What this helps you achieve
- A shared understanding of what AI-search visibility means for the organisation
- Less time spent chasing speculative tactics
- A measurement system connected to useful commercial questions
- Priorities that strengthen both conventional and AI-assisted discovery
Common questions
Is AI SEO different from traditional SEO?+
The interfaces and measurement questions differ, but many foundations overlap: crawlable and useful content, clear entities, reliable evidence, strong reputation and good technical implementation. AI-search consultancy adds prompt research, citation analysis, representation checks and cross-platform measurement.
Can you guarantee that an AI system will recommend our brand?+
No. AI recommendations vary and are controlled by the platform. You can get a documented baseline, recommendations to improve accessibility and relevance, and a repeatable method for assessing change. Those are the deliverables you can evaluate.
Do we need specialist GEO software?+
Not always. Your prompt sample, measurement method and interpretation come first. You can get help evaluating products or designing a practical baseline with the resources you already have. Any additional tool costs are agreed in advance.