SEARCH ARCHITECTURE
We map customer problems, comparison and purchase intent to clear page roles, URLs and internal links.
SEO / AIO / LLMO
It is the work of helping the right people reach accurate, useful information. We design intent, content, technology and measurement as one system.
There is no separate trick for Google AI Overviews or AI Mode. Crawlable, indexable, understandable and genuinely helpful content remains the foundation.
We map customer problems, comparison and purchase intent to clear page roles, URLs and internal links.
We audit crawling, indexing, HTTP responses, performance, mobile usability, canonicals and structured data.
We turn first-hand experience, expert judgment and original evidence into useful, differentiated content.
We clarify entities, definitions, evidence and relationships so content is easier for both search and AI systems to understand.
Make important pages reachable through robots, sitemaps, internal links and valid HTTP responses.
Separate problem, comparison, purchase and branded intent, then assign one clear role to each URL.
Add experience, original evidence, decision criteria and examples so the next search is unnecessary.
Clarify who created the information, how it was produced and why its evidence can be trusted.
Improve mobile usability, speed, readability, accessibility and page stability.
Use Search Console and analytics to test visibility, engagement, enquiries and pipeline contribution.
For a regional service, we led information architecture and continuous improvement and confirmed the client brand at number one for its branded query. This is based on client-provided information reviewed in August 2026; the brand, location and measurement screen remain confidential. Rankings vary by time, location and device, so we present this only as a time-bound fact.
SEE ANONYMISED PROOF AND EVALUATION POLICY ↗Teams able to share first-hand experience and expertise, collaborate across leadership, sales and engineering, and validate customer value over time.
We do not accept requests for ranking guarantees, mass-produced pages, fabricated authority or copy written only for search engines.
We review business goals, audiences, existing data, site access and publishable first-party information before defining scope, timing and cost.
Impressions, average position and click-through rate
Qualified sessions, journeys, document views and return visits
Contribution to enquiries, opportunities and revenue
Web-search traffic involving AI features and themes likely to be referenced
We create information useful to real customers rather than publishing at scale solely to attract search traffic.
E-E-A-T is not a single ranking factor. We make experience, expertise, authorship and—above all—trust clear.
We do not sell proprietary files or special schema as requirements for AI search. Solid SEO and original value come first.
Structured data describes only visible, accurate content and never comes with a rich-result guarantee.
Review Search Console, crawlability, competitors, existing content and conversion paths.
Assign customer intent and business priorities to a deliberate information architecture.
Produce and improve content around interviews, expertise and first-party evidence.
Evaluate impressions, clicks, user behavior, enquiries and pipeline contribution.
Timing depends on competition, site history, existing authority and content. We do not guarantee rankings; we define a scope and measurement period, then validate improvement.
No. AI can assist research and structure, but our work is built around experience, original information and expert review rather than low-value publishing volume.
Google does not require special schema for AI Overviews or AI Mode. Crawlability, indexability, useful visible content, internal links and page experience remain the foundation.
No. E-E-A-T is not a single ranking factor or score. We clarify who created the information, which experience and evidence support it, and who it is intended to help.
We report visibility and rankings alongside click-through rate, on-site behavior, enquiries and contribution to qualified opportunities.
Choose a signal to see how the path from discovery to selection changes.
READINESS 78%