Structured thinking.
Clear phases. Results you can measure.
AI visibility isn’t won through a single fix. It’s built systematically – from understanding exactly where your brand stands today, to making it impossible for AI to overlook you tomorrow.
Where we begin
Week 1 – 2We find out where you actually stand.
Before any strategy, you need a clear baseline. We run your brand against the commercial queries your audience is genuinely asking – across ChatGPT, Perplexity, and Google Gemini – and document exactly what AI says about you, your competitors, and your category.
You’ll see which questions you’re being cited for, which you’re absent from entirely, and what’s driving the gap. Most clients are surprised by both what’s there and what isn’t.
- AI visibility baseline across platforms
- Prompt-by-prompt citation analysis
- Competitor presence mapping
- Gap and opportunity report
- Entity clarity assessment
- Priority recommendations
The Answer Share Audit is also available as a standalone engagement – a clear picture of your AI visibility today, with no ongoing commitment required.
The groundwork
Weeks 2 – 4We make you readable to the machines.
AI systems can only recommend what they can find and understand. We look at how your website presents itself to AI crawlers, whether your brand’s identity is clearly structured, and how your content is being interpreted – or misinterpreted – by the models.
This is the groundwork that everything else depends on. Less visible than content, but it determines whether AI treats your brand as a source worth citing – or skips over you entirely.
- AI crawler access audit
- Entity clarity and definition
- Schema markup implementation
- Brand information architecture
- Core page restructuring
- Machine-readable documentation
Building authority
Months 1 – 3We build the content AI wants to cite.
AI systems don’t rank pages – they extract answers. So we create and restructure content specifically designed to be retrieved, synthesised, and cited in AI-generated responses.
This means writing with specificity and evidence, organising information so models can lift it cleanly into answers, and building your presence in the places AI looks to corroborate authority. The goal: when someone asks AI a question your business answers, you appear – consistently, accurately, and favourably.
- Optimised existing pages
- New authority-building content
- Extractable content formatting
- Evidence and specificity layer
- Third-party presence strategy
- Topical category coverage
Building trust signals
Months 2 – 4We build your presence where AI already looks.
AI models don’t just read your website. Before citing a brand, they look for external corroboration – mentions on platforms they already trust, third-party profiles that confirm who you are, and signals from the wider web that validate what your site claims.
This is the work that shifts you from a brand that says it’s authoritative to a brand the web agrees is authoritative. We identify where your category’s conversations happen, build your presence there deliberately, and link your external profiles to your entity so every mention reinforces the same signal.
- Brand mention strategy
- Third-party platform presence
- Author and profile optimisation
- Entity linking across the web
- Industry publication strategy
- Community and UGC presence
The long game
OngoingWe measure what actually matters.
Traditional rankings don’t tell the GEO story. We track citation frequency across AI platforms, monitor how often and where your brand is being recommended, and watch AI crawler activity on your site as a leading indicator of retrieval health.
Every month you receive a clear report – what’s improved, what’s shifted, and what we’re doing about it. The work compounds: each phase builds on the last, and your share of AI-generated recommendations grows over time.
- Citation frequency by platform
- Share of voice vs. competitors
- AI crawler activity report
- Content performance review
- Retrieval health indicators
- Next-cycle priorities
This is not traditional SEO.
Search engines ranked pages. AI systems choose sources. The criteria are different – entities, extractability, evidence density, trust signals – and so is the work. We treat your brand as a data source that AI needs to find, understand, and trust. That shift in thinking is what separates brands that get cited from brands that get skipped.
Every engagement begins with the audit.
The Answer Share Audit gives you a precise picture of your AI visibility today – and a clear map of where to focus next. No assumptions. No generic recommendations. Just the facts about where you stand.