Built to rank in a world where AI does the searching.
SEO has changed. AI-powered search engines, answer engines, and zero-click results mean the old playbook — keyword stuffing, link building farms, monthly blog posts — is dead. We build SEO systems engineered for how search actually operates in 2026: technically solid, AI-crawler accessible, and built to compound without constant human input.
A full technical audit of your current site — crawlability, indexability, site architecture, Core Web Vitals (INP, LCP, CLS), schema markup, canonical tags, internal linking, and AI crawler accessibility. We don't deliver a spreadsheet of issues. We deliver a prioritised fix plan, organised by impact, and we implement it.
Websites built from the ground up with SEO architecture baked in — not bolted on afterwards. Server-side rendered, semantically structured, with full JSON-LD schema, optimised Core Web Vitals, and llms.txt compliance so your content is visible to both traditional crawlers and AI search agents like GPTBot, ClaudeBot, and PerplexityBot.
Not a one-time fix. An ongoing AI-powered optimisation layer that continuously monitors your rankings, identifies content gaps, flags technical regressions, and deploys targeted updates. Built on Claude-powered agents that run autonomously and escalate exceptions for human review — SEO that works while you sleep.
A full content engine that researches keywords, generates briefs, writes SEO-optimised articles, and publishes on a consistent schedule with minimal input from your team. E-E-A-T compliant, topically authoritative, and aligned to your brand voice. We've built and deployed this system for clients in fintech, martech, and B2B SaaS.
Traditional SEO optimised for one thing: Google's blue links. In 2026, your content also needs to be visible to AI Overviews, cited by ChatGPT and Perplexity, and indexable by AI agents running on behalf of your potential customers.
That means structured data that creates an entity graph, not just keyword density. It means server-side rendered pages with content in the initial HTML response — not JavaScript-heavy SPAs that AI crawlers can't read. It means llms.txt files, passage-level citability, and factual, quotable content that AI search systems will actually surface.
We've built this for ourselves — this very site was designed and audited using the same AI SEO system we deploy for clients. We know what works because we run it.
Crawlability audit, indexing review, robots.txt, sitemap structure, canonical setup, 301 redirect management, Core Web Vitals, mobile optimisation, and server-side rendering assessment.
Full JSON-LD implementation: Organization, Service, Article, BreadcrumbList, WebPage, and entity graph wiring using @id cross-references. Validated against Google's Rich Results Test and schema.org specifications.
llms.txt creation, AI crawler accessibility review (GPTBot, ClaudeBot, PerplexityBot), passage-level content scoring, and brand entity establishment for citation by AI Overviews and answer engines.
Keyword architecture, content briefs, E-E-A-T signal building, internal linking strategy, and automated content production — from research and brief through to publication.
We built and deployed an Agentic SEO automation system powered by Claude Code — delivering full technical and content SEO audit pipelines, automated JSON-LD structured markup, competition analysis, and AI-powered content creation and publishing. We also built and run the SEO architecture for this site as a live demonstration of the system.