Discovery
Understand the people, the problem and the intended outcome. Surface the questions still open.
AI-generated answers change how people discover information. We examine offer clarity, source structure and relevant questions without promising inclusion in any platform’s responses.
Let’s discuss your ideaExplore a starting packageVisibility in AI-assisted search relies on accessible, clear and verifiable content. No intervention guarantees a website will be cited in answers.
Original explanations and coherent identity can make an offer easier to understand. Real examples and sources matter more than ranking-hack promises.
Pages are kept crawlable and current, with appearances checked using available tools. Special files or artificial fragmentation are not presented as Google requirements.
That question connects research, pages and measurement. We identify relevant search intent, technical barriers and missing information along the visitor’s journey. We prioritise improvements and track progress without promising rankings or sales volumes.
We agree what belongs in the project, what implementation involves and what is better left for a later stage.
Understand the people, the problem and the intended outcome. Surface the questions still open.
Choose the first useful version, dependencies and the milestones for evaluating progress.
Put workflows in front of you before they become features that are expensive to change.
Build in stages you can see, test and discuss.
Check usage scenarios, accessibility and the application’s sensitive points.
Prepare the environment, content, access and agreed administration steps.
Prioritise improvements and agree the support that fits the product.
Crawler access, indexability, HTML, canonicals, hreflang, sitemaps, metadata and internal links. Findings are documented with URLs and evidence, then prioritised by impact.
Search Console impressions and clicks are reviewed alongside traffic and consented Analytics events. Enquiries are qualified separately in the CRM. Reporting distinguishes tests, missing data and attribution limits.