SOLUTION · DISCOVERY
Your competitor is in the answer. You are not.
When a shopper asks ChatGPT, Gemini or Perplexity what to buy in your category, a small set of brands gets named. If you are not one of them, no amount of ranking on page one changes the outcome.
How this usually surfaces
Someone on the team asks the assistant a question about your category and your brand does not come up. You try a few more prompts. A competitor appears in most of them, sometimes one you do not consider a serious rival. Nothing in your analytics explains it, because the answer never generated a click to measure.
What is actually happening
Being ranked is not being cited
These are separate mechanisms. A page can hold position one organically and never be named in a generated answer, because the model is assembling from structured product data and corroborating sources rather than reading a rankings list.
Thin product data eliminates you early
Assistants narrow by constraint — budget, use case, spec. Products without the attributes to match a constraint drop out of the conversation before price is ever considered.
Models want corroboration
Your own claims are not enough. Engines look for agreement elsewhere before committing to a recommendation, and the sources they cite for buying decisions are rarely brand-owned.
You cannot fix what you have not measured
Every surface decides differently. Without a locked panel of category prompts run on a schedule, you are working from anecdotes — one person trying one prompt on one day.
How we work it
Baseline
We run a locked panel of real buyer prompts across every surface and record who gets named, in what position, from which sources.
Diagnose
We separate the causes — data gaps, missing corroboration, entity confusion — and rank them by expected lift rather than by checklist order.
Fix
On-page structure and feeds first because they move fastest, then off-page corroboration and authority work, which compound.
Re-measure
The same panel, on the same schedule, so movement is attributable rather than assumed.
Proof
22% → 56%
House of Zelena's mention share over 6 months, moving #6 → #1 across three LLMs
Read the case study
What does the work
Questions
How long until I show up?
You get a baseline within 24 hours of signup. Measurable movement in AI Share of Voice is typically visible within 30 days — ITC MasterChef moved +89% in that window. Authority work compounds over quarters.
Is this just SEO?
No. Good SEO helps because crawlable, well-structured pages are a prerequisite, but the competition is for a mention inside an answer rather than a position in a list, and it is decided substantially by structured product data and third-party corroboration.
Which surfaces do you cover?
ChatGPT, Google Gemini, Google AI Mode, Google AI Overviews, Perplexity, Amazon Rufus, Microsoft Copilot, Claude and Meta AI. Each is measured separately because each decides differently.
What does it cost to find out where I stand?
Nothing. The Citation Rank scan is free, takes two fields, and returns your baseline within 24 hours.
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