The method: which prompt set to use, how often to re-run it, what counts as a result and why the same question phrased differently returns different sources. The part the market sells without explaining. The hard part of AI search work isn't doing it — it's knowing whether it worked. An answer is generated from scratch on every request and depends on phrasing, conversation history and model version, so checking once and seeing yourself proves nothing. The workable method: fix a prompt set for your niche in the words your buyers actually use, run it on a schedule across several assistants, and track the share of answers that mention the brand, whether a link appears and whether any facts are stale. Referrals from assistants are tracked separately in analytics and always understate the real effect, because part of that traffic goes untagged. This page covers the method itself; the work behind it is part of the retainer.
This is the measurement method. The work itself is part of the retainer.
GEO service and pricingIf authoritative sources didn't write about your brand before LLM training — it doesn't exist for the base model.
Your site is in Google index, but LLMs pick competitors as sources.
Perplexity and ChatGPT-with-search prefer fresh content. Static sites lose visibility month over month.
LLMs extract data in blocks. Without clear H2 structure, FAQs, lists — extraction fails.
Mentions in Wired, TechCrunch, industry media — primary trust signal for LLMs.
We research which type of content LLM models prefer to cite in your niche.
We create content with structure, data and expertise — exactly what LLMs include in answers.
PR publications in authoritative outlets increase the probability of LLM inclusion.
Schema.org markup helps AI understand the entities and facts on your site.
We analyse which competitors get mentions and why — used to inform strategy.
We track brand appearances in ChatGPT, Perplexity, Gemini responses weekly.
We map your current AI/SEO landscape: what works, what's broken, where competitors lead. Tools: GSC, Ahrefs, MarketMuse, custom NEXUS agents for AI-mention monitoring.
90-day execution plan with clear KPIs, weekly milestones, and dependency mapping. You see exactly what we do each week and what success looks like.
Our team executes — content, technical, link building, AI-specific work. Your team focuses on the business. Weekly status calls keep you informed without micromanagement.
Real metrics every week: rankings, AI citations, traffic, conversions. We don't hide behind vanity metrics. If something underperforms — we pivot fast.
Once a tactic proves out, we automate it (NEXUS agents) and scale across all your assets. Manual work doesn't survive long with us.
Every 90 days: full strategy review, competitor benchmark, AI landscape updates, next-quarter planning. You always know where we're heading and why.
We don't sell AI search as a separate package: preparing a site to be quoted by assistants is part of the SEO retainer. The scope is set after a free audit of the project.
We take it standalone in one case only — another vendor runs your SEO and you need the AI part. On our pricing page that's AI-search adaptation, from $1,000/mo.
Being cited cannot be guaranteed: the answer is generated anew on every request.
Both have their place. Most clients need a hybrid. Here's how they differ.
Most of our clients run both in parallel: SEO for compounding long-term moat, AI/GEO for capturing the new generation of AI-mediated search.
No. Language models cannot be directly controlled. But systematic work with content, authority and data structure significantly increases the probability of being cited.
Depends on the model. ChatGPT with search — yes. Base Claude — no. Perplexity — yes. We build strategy accounting for each platform's mechanisms.
GEO is the broader discipline — optimising for generative engines. LLM Visibility focuses specifically on training-data inclusion and citation frequency in LLM responses. Often delivered together.
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