Steer what AI engines cite.
Citehelm is an AI search visibility consultancy. We monitor how assistants like ChatGPT, Perplexity and Google's AI answers respond to the questions your buyers ask, measure which sources those answers cite, and run the ongoing remediation work that makes you one of them — as a retainer, not a one-off audit. We specialise in non-English B2B markets: German-speaking industry, Hungary and Central Europe.
engine perplexity
prompt "laborglas hersteller b2b"
cited client-domain.de ✓
──────────────────────────────────────
engine chatgpt-search
prompt "ipari iot partner magyarország"
cited not yet — action #7 queued
── next full protocol: monthly ───────
AI answers are assembled from citations.
Citations can be measured — and moved.
When a buyer asks an AI assistant a commercial question, the engine retrieves a small set of sources, forms a consensus from them, and answers — usually naming or linking a handful of citations. Whether you appear in that answer is not luck. It is a function of whether your domain, and the third-party pages that mention you, sit inside the retrieved set for the prompts that matter.
Citehelm works on that function directly. We distinguish two mechanisms and treat them as separate workstreams: own-domain citation (your pages being retrieved and cited) and third-party mention (the sources engines already trust naming you). Each has its own diagnostics and its own fixes.
A monitoring-and-remediation loop, not an audit PDF.
Sentinel sets
We build a taxonomy of the prompts your buyers actually use and run it weekly across engines. Every answer is logged: cited sources, mentions, sentiment, position.
Citation-gap analysis
For each prompt cluster we identify which sources form the answer consensus, whether the cluster is open or locked, and what separates you from the cited set.
Action log
Concrete fixes, executed and versioned: content that answers, technical eligibility, verifiable authorship, and placements on the sources engines already cite.
Measured windows
Every intervention runs against a 90-day measurement window with test and control prompt clusters. You see what moved, what didn't, and why we think so.
Built for markets the tools ignore.
Most AI-visibility tooling is trained on, and priced for, the English-language web. The dynamics in German industrial B2B or Hungarian professional services are different: smaller citation pools, different trusted sources, different prompt phrasing — and far less competition for the citations that matter. That is where a measured, language-native operation wins.
- German-speaking industry — Maschinenbau, components, technical products with long B2B consideration cycles.
- Hungary & CEE — companies whose buyers switched to AI answers faster than their visibility strategy did.
- Working languages — English, German, Hungarian, Portuguese.
What we will not promise.
AI answers are stochastic: the same prompt can cite different sources on different days. Nobody can guarantee a citation, and you should distrust anyone who does. What can be promised is disciplined measurement — baseline, intervention, verification — and a transparent record of which actions moved which prompt clusters. That is what the retainer buys.