B2B SEO built for how enterprise technology buyers actually buy.
B2B technology buyers don't search like consumers. They research across multiple sessions, involve buying committees of five or more people, and increasingly start with AI. We build SEO and generative search strategies that reach the whole committee — at every stage of a months-long buying cycle.
B2B technology buying doesn't work like consumer search
Most SEO strategies are designed for single-session, single-buyer journeys. Enterprise technology buying isn't. A deal worth £200k involves a CFO, a CTO, a security team, and an end-user champion — each searching for different things at different times. Your SEO strategy needs to reach all of them.
The buying committee problem
Enterprise technology purchases involve an average of five or more stakeholders. Each has different questions, different search behaviour, and different content preferences. An SEO strategy that only targets the end user misses most of the people who influence the decision.
The long sales cycle problem
A six-to-twelve month sales cycle means buyers are researching and reconsidering long before and after they talk to sales. Content that isn't present at every stage of that cycle lets competitors occupy the space you're leaving empty.
The AI research problem
68% of B2B decision-makers now use AI tools to start their vendor research. If your brand isn't being recommended by ChatGPT, Gemini, or Perplexity when they ask "which enterprise Linux vendor should we consider", you don't exist in that conversation.
The generalist agency problem
Most SEO agencies don't understand enterprise technology. They apply consumer-market tactics to complex B2B categories and wonder why pipeline doesn't move. We work exclusively with enterprise technology brands. We know your buyers, your categories, and your competitive landscape.
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B2B SEO services for the full buying journey
We cover every stage of the B2B technology buying cycle — from initial AI-driven research through to technical evaluation and vendor selection. Every service is built around how enterprise technology buyers actually behave.
Technical B2B SEO & GEO Auditing
Full audit of your existing B2B SEO performance, AI citation share, and marketing strategy. We leverage the latest AI tools to examine your pages, your entity signals, and your marketing channels — then prioritise by business impact.
Keyword & Content Analysis
In-depth keyword analysis mapping your data to competitor profiles and uncovering the opportunities that align with each buying committee member's search behaviour. Every opportunity is graded by intent and competitive feasibility.
On-Page Optimisation
Making changes to your existing site to improve performance — from page structure, internal linking, and metadata to structured data and entity markup that helps AI models understand your brand.
Content Creation & Placement
Content engineered for entity authority and LLM retrieval — not just keyword rankings. We research, write, and distribute content to the high-authority sources that both Google and AI models trust.
Comprehensive Reporting
Reporting that covers both traditional organic performance and AI citation share by topic. Track campaign progress across Google rankings, LLM visibility scores, and referral conversion rates — all in one view.
B2B Generative Search Strategy
A dedicated GSO strategy for your B2B category — identifying the topics your buyers are asking AI, the competitors being recommended, and the gaps your content needs to fill. Built into your broader SEO roadmap, not bolted on.
Your B2B buyers are asking AI. Is your brand the answer?
B2B technology buyers use AI differently from consumers. They ask specific, technical questions — "what's the best enterprise Linux distribution for a hybrid cloud environment" — and they trust the answers. If your brand isn't cited, you're not in their consideration set before they've ever visited your website.
The citation problem
AI models build their answers from the sources they've been trained on and can currently access. Brands with strong entity signals, structured data, and presence across high-trust sources get cited. Brands without them don't appear regardless of how good the product is.
The buying committee reach problem
Different members of a buying committee ask AI different things. The CTO asks technical architecture questions. The CFO asks TCO questions. The security team asks compliance questions. Your GSO strategy needs content that answers all of them — in the format AI models can cite.
What we do about it
We audit your current AI citation share across all major platforms, identify the topics where competitors are being recommended instead of you, and build a content and entity architecture that closes those gaps systematically.
How we measure it
Every engagement includes monthly LLM visibility tracking by topic — showing citation share, sentiment in AI responses, and referral traffic from AI-driven sessions. You see exactly how your AI presence is growing alongside traditional organic metrics.
B2B SEO & Generative Search FAQs
What is a B2B SEO agency?
A B2B SEO agency specialises in improving the organic search visibility of businesses that sell to other businesses. In 2026, this goes beyond Google rankings — it includes structuring content so AI Overviews surface it, optimising for LLM citations on platforms like ChatGPT and Perplexity, and building the third-party brand authority that generative AI systems use to decide who to recommend.
Why is SEO different for B2B technology companies?
B2B technology purchases involve multiple stakeholders, long sales cycles, and highly technical evaluation criteria. SEO strategies need to reach every member of the buying committee — from the end user to the CFO — with content that matches their specific questions at each stage of a six-to-twelve month buying journey. Generic SEO agencies apply consumer-market tactics that don't account for any of this.
What is B2B generative search optimisation?
B2B generative search optimisation (GSO or GEO) is the practice of ensuring your brand is cited and recommended by AI platforms — ChatGPT, Gemini, Perplexity, and Google AI Overviews — when B2B buyers ask questions in your category. It involves entity authority building, structured data, content architecture, and distribution across the high-trust sources AI models cite most.
How do you measure B2B SEO results?
We report on both traditional and AI-driven metrics: organic traffic and ranking movement, LLM citation share by topic, sentiment in AI-generated responses, AI-referred sessions and conversion rate, and pipeline contribution from organic channels. The goal is always revenue impact, not vanity metrics.
How long does B2B SEO take to show results?
Technical and entity fixes can show measurable impact within 4–8 weeks. Content-driven ranking improvements typically take 3–6 months. LLM citation share improvements are often faster — we've seen meaningful citation increases within 6–8 weeks of targeted content and entity work. Compounding organic growth from a full strategy engagement is typically measurable within 6–12 months.
Do you work with in-house SEO teams?
Yes — frequently. Many of our B2B technology clients have in-house marketing teams who handle day-to-day content and paid channels. We plug in as the specialist SEO and GSO layer — providing strategy, technical guidance, content briefs, and reporting that their teams execute against. We're built to work alongside internal teams, not replace them.
Your B2B buyers are already using AI to find vendors. Let's make sure they find you.
We'll start with a free consultation — covering where your brand currently stands in AI search, which competitors are being recommended in your place, and what a realistic B2B SEO and GSO strategy looks like for your category.