AI visibility measurement
LLM visibility audits for adult brands, measured properly
GenReachiva measures how often ChatGPT, Perplexity, Google AI and other assistants name and cite lawful adult brands. We ask real customer questions many times over, compare you with your rivals, and report every figure with the margin it deserves, so you know what is real before anyone spends money acting on it.
Share of answers, repeated samples
- Rival A62%
- Rival B44%
- Rival C28%
- Your brand12%
Four instruments
Three rules behind every number
| Rule | Why | In practice |
|---|---|---|
| Repeat | AI answers rarely repeat exactly | Ask each question many times |
| Show the margin | A figure without its sample size misleads | Report ranges, not points |
| Separate refusals | Adult topics are sometimes declined | Report policy limits apart from absence |
Grounded in published research on how inconsistent AI brand recommendations are; see the research.
Three sample sizes
- n = focusedPilot$1,486 per month
$1,651 without commitment - n = steadyPanel$2,694 per month
$3,368 without commitment - n = full fieldCensus$4,128 per month
$5,504 without commitment
Fixed monthly fees in US dollars, lower on longer terms, starting with a free audit. Compare the plans.
Latest field reports
- MethodHow to measure AI visibility: a question set, repeated runs, a coding scheme and honest margins
- Share of voiceAn AI share of voice guide: counting mentions, working out shares and weighting the questions that sell
- MonitoringPrompt set monitoring: the same questions each month, a stable trend and logged model updates
We measure for lawful brands only, turn away escort and sexual-services work, and never try to game AI answers. Read our methodology statement.
What first readouts usually show
| Finding | What it means |
|---|---|
| Brand named in some assistants, absent in others | Visibility depends on which sources each assistant reads |
| Named often, recommended rarely | Assistants know you but prefer a rival |
| Own site never cited | Assistants rely on third parties to describe you |
| Old prices or discontinued products in answers | Outdated sources still shape what buyers hear |
| Frequent refusals on adult questions | Questions need safe-for-work phrasing buyers also use |
How the work unfolds
- Free readout: a small sample of buyer questions on the assistants your customers use, with ranges.
- Audit: a full question set, repeated runs, written coding rules and a ranked list of actions.
- Rounds: the same set re-run monthly or quarterly, with shares, margins and source changes.
- Readouts: a short written report each round, explaining what moved and what probably caused it.
No one controls what an assistant says, so we never promise a share; every figure we report can be traced to the saved answers behind it.
Why measure rather than guess
AI assistants now answer many buying questions before anyone visits a website, and their answers vary from run to run. A screenshot of one answer, good or bad, says little. Adult brands face an extra layer: assistants may refuse or soften questions about the category, and some mainstream sources avoid it altogether. Measuring repeatedly, with clear rules and honest margins, is the only way to know where you stand and whether anything you do changes it. Our definitions note explains the terms you will hear.
Brands we measure for
- Lawful adult and sexual-wellness brands, shops and platforms.
- Lingerie, wellness and education brands working in adult categories.
- Agencies that want independent measurement for their adult clients.
Declined: escort or sexual-services businesses, and anyone seeking to manipulate assistants with fake reviews or posts. More is on the about page.
Questions brands ask first
Brands usually ask three things before a readout. Can a small brand show up at all? Often yes, on specific questions where it is genuinely strong and well described. Will assistants talk about adult products? Many do, within limits that vary by assistant and wording, which is why we record refusals separately. And what happens after the measurement? The readout points to the pages, listings and sources most likely to matter; your team or partners act, and the next round shows whether anything moved, with the same questions and the same rules as before.
Privacy of what we find
Readouts reveal which rivals matter most to you and exactly where you are weak. They are shared only with the specific people you name, stored securely, and one client's data is never used in any other client's work.
Adult topics and assistant policies
Assistant policies on adult content shift. OpenAI announced a verified-adult mode for ChatGPT in 2025, then delayed it, most recently in March 2026, without a new date. Other assistants have their own rules. When a policy changes, answers about adult products can change quickly, so the bureau re-runs the core questions after any announced change and reports refusal rates as a separate series. That way, a shift in visibility can be read against the policy behind it.
Questions
What does GenReachiva measure?
How often AI assistants such as ChatGPT, Perplexity and Google AI name and cite your brand, compared with rivals, across repeated samples of real customer questions.
Why repeat the same questions?
AI answers change from one run to the next. Repeating each question turns a snapshot into a figure with a known margin.
Do you also fix what the audit finds?
No. We hand priorities to your team or implementation partner and measure again afterwards, which keeps our figures independent.
What is included in the free audit?
A small sample of your buying questions across the main assistants, with visibility, rivals named and a short written readout.
LLM visibility audit
Find out how often AI assistants name your brand
Tell us your brand, your market and your main competitors. We run a sample of real customer questions through the major AI assistants several times, record mentions and citations, and send back a readout showing the ranges observed. The first one costs nothing and binds you to nothing.
Request an LLM visibility audit