AI Apps & SEO
Put AI to work and compound your reach. We build custom AI-powered apps — RAG knowledge bases, AI agents, and streaming chat — and pair them with AI-driven SEO services that grow organic search visibility month over month, without a matching rise in ad spend.
Everything you need
Custom AI & LLM Integrations
We connect Claude and GPT-4o to your internal systems through structured tool use and function calling, turning raw model intelligence into deterministic, auditable workflows that produce consistent, repeatable output you can run real operations on.
RAG Pipelines & Knowledge Bases
Retrieval-Augmented Generation pipelines that chunk, embed, and index your documents, PDFs, databases, and wikis into a vector store, grounding every model response in your proprietary data instead of a model's potentially outdated training.
AI Agents & Workflow Automation
Multi-step autonomous agents that plan, call external tools, and complete complex tasks end to end, from research pipelines and structured data extraction to support bots and internal process automation that runs without constant human handholding.
Technical SEO & Site Architecture
A full technical crawl covering page speed, crawl budget, canonicalisation, internal linking, and Core Web Vitals, with a prioritised fix list ranked by estimated ranking impact so the search foundation every other effort stacks on is solid.
AI Content & Programmatic SEO
We use Claude and GPT-4o to produce semantically rich, search-intent-matched content clusters at scale, and build programmatic landing pages that rank for thousands of long-tail queries at once, capturing demand competitors leave unclaimed.
Guardrails, Schema & Monthly Reporting
Structured output validation, hallucination mitigation, and LLM observability on the AI side; JSON-LD schema, on-page optimisation, and transparent monthly dashboards on the SEO side, tracking rankings, traffic, and attributed conversions. No vanity metrics.
Our process
Audit & Strategy
We audit your data, stack, and site together, map the right AI architecture — RAG, structured tool use, or agents — and the keyword and content opportunities worth chasing, then define quantitative success criteria before a line of code or content is written.
Build AI Systems
We engineer your AI product iteratively against an evaluation harness — prompts, retrieval, tool use, and safety guardrails — while wiring schema markup and a technically sound site architecture, so the intelligence and the search foundation ship together.
Optimise & Rank
We deploy to production with full LLM observability, then drive rankings in parallel: fixing technical issues, publishing AI-assisted content clusters on schedule, building programmatic pages, and earning authoritative backlinks so organic momentum compounds month over month.
Measure & Scale
Every month we report keyword movement, organic traffic, Core Web Vitals, latency, output quality, and conversions attributed to organic search, in plain English, then run a structured optimisation cycle to scale what works across both the apps and the rankings.
How we build it
Common questions
We build primarily with Anthropic's Claude and OpenAI's GPT-4o, but we're genuinely model-agnostic — selection is always driven by what performs best for your specific use case, whether that's an AI app or AI-assisted content. We benchmark candidate models against your actual data and tasks before committing to an architecture, and design systems that can swap models as the landscape evolves.
Traditional SEO relies on human writers producing a few articles per week. AI SEO uses models like Claude and GPT-4o to produce semantically rich, search-intent-matched content at ten times that pace, and to build programmatic landing pages that rank for thousands of long-tail queries simultaneously. The strategy, quality control, and editorial judgment stay human; only the scale changes.
AI apps can ship to production in weeks, depending on scope. On the SEO side, technical fixes show crawl and indexing gains within 2–4 weeks, meaningful keyword movement within 3–6 months, and significant, sustained organic traffic growth within 6–12 months. SEO is a compounding channel, so the returns grow over time, which is exactly why starting earlier matters.
Reliability and safety are engineered in from the architecture phase, not bolted on after. We implement structured output schemas with validation, hallucination mitigation, content filtering, human-in-the-loop checkpoints for high-stakes decisions, rate limiting, and a quantitative evaluation harness that measures accuracy across a representative test set, so you can see exactly how the system performs before it goes live.
Yes — this is one of our most common engagements. We assess your current stack, identify the right integration points, and add AI features that connect to your existing data and workflows via API, while improving your site's technical SEO and architecture in place. In most cases the existing application keeps running unchanged as new capabilities are added incrementally alongside it.
Your next digital product
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