GEOhelp fixes that. We handle the execution: content restructuring, schema, and citations, so your agency can offer AI visibility as a service without building the expertise in-house.
Tools like Otterly and Peec.ai are excellent at showing you the gap. They tell you exactly how often a client gets mentioned across ChatGPT, Perplexity, and Claude. But measurement and improvement are different skills, and those platforms don't cover the execution side.
The execution is technically different from SEO. Improving AI visibility means restructuring content so LLMs can extract clean answers, deploying schema types that traditional SEO doesn't touch, and building the kind of third-party citations that language models treat as authoritative. Conflating GEO with Google ranking work produces no results.
And if you're a 4-person agency managing 15 clients, you don't have the bandwidth to build this muscle from scratch, especially when the discipline is still evolving month to month.
“Tracking is easy. Improving it is the hard part.”
One client slot per month. We run the full cycle: audit the prompts, identify what to fix, implement the changes, and report back with results your agency can hand straight to the client.
Covers content restructuring, schema deployment, citation outreach, and a monthly retest against the original query set.
A snapshot of where one client stands across AI search. We test real prompts a buyer would type, score each result, and hand you a ranked list of what to fix first.
Output is a prioritised fix list your team can action internally, or hand back to us for execution.
We build your team a GEO playbook they can actually follow: prompt templates, schema checklists, content restructuring frameworks, and a citation-building process.
Designed so a junior team member can run the process without needing to understand the theory behind every step.
White-label by default, so your clients never know we're involved
Every engagement follows the same four-step cycle. No black-box methods. You see every change and why it was made.
We build a query set based on what your client's buyers actually ask AI, not generic keywords. Then we run each prompt across all three platforms and record what gets cited, what gets mentioned, and what's missing entirely.
We rank every gap by leverage. Some are structural: the content exists but LLMs can't extract it cleanly. Some are authority gaps: no third-party source corroborates the claim. The distinction matters because the fix is different for each.
We rewrite content for extractability, deploy schema that makes entity relationships explicit, and build citations on sites LLMs already trust. Every change is documented so your agency has a full audit trail.
Same prompts, same platforms, measured the same way. The report shows what moved, what didn't, and what we're targeting next. Formatted for your agency to forward directly to the client.
GEOhelp tracks its own AI visibility publicly using the same methods applied to clients. This log is updated every week, with honest results including when nothing moves.
Updated every week. Honest results including when nothing moves.
This site appeared in 0 of 10 test queries across ChatGPT, Perplexity, and Claude. We're building this from zero, in public. The baseline is set. GEO work begins now.
Queries tested: 'GEO execution agency', 'who helps agencies with AI search optimization', 'generative engine optimization for agencies', and 7 others.
GEO targets how AI systems cite and surface your content, not how Google ranks it. Traditional SEO optimizes for crawlers and backlink signals. GEO optimizes for how large language models extract answers: content structure, entity clarity, schema specificity, and whether third-party sources corroborate your claims. The techniques overlap in places but the execution is fundamentally different.
ChatGPT (including Browse and SearchGPT), Perplexity AI, and Claude. Each has different extraction and citation behaviors, so we test across all three and tailor fixes accordingly.
Structural and schema changes can start showing within 2–6 weeks. Citation frequency usually improves over a 2–3 month cycle. The timeline depends on the client's existing domain authority, how competitive the query space is, and whether the gaps are structural (fast to fix) or authority-based (slower, requires third-party citations).
No. We're fully white-label, so your client relationship stays yours.
One client slot. Each month: we audit 15+ prompts across all three AI platforms, identify the top three fixes ranked by expected impact, implement those fixes (content rewrites, schema changes, citation outreach), retest the same query set, and deliver a summary your agency can send to the client as-is.
The clearest signal: a competitor appears consistently in AI answers for industry queries and your client doesn't. If you're already tracking this in Otterly or Peec.ai and seeing low scores, GEO work is the execution layer that moves those numbers.
Tell us about your agency and which client you want to improve AI visibility for. We'll get back within 1 business day.
Or email directly
hello@geohelp.agencyGEOhelp is run by David, previously in marketing ops and now focused entirely on AI search visibility for agencies.