Methodology
How we measure AI visibility
Short read on the visibility mini: what it counts, how a pass is run, and what a first pass can claim. Pair with the illustrative sample.
Offline pass
About 8 buyer questions, 3 runs each
Live check
3 questions pasted in 2 live AI boxes
Kept separate
Live answers stay out of the offline count
01
Problem
Buyers ask AI who to hire or buy from. If rivals get named and you do not, you lose the shortlist before the site visit.
- Surfaces include ChatGPT, Perplexity, Gemini, and Google AI Overviews.
- AI visibility = whether your brand appears in those answers.
- Classic blue-link rankings alone do not answer that question.
- The mini shows the gap on a small, honest set of category buyer queries.
02
What we measure
Mention rate: how often your brand and named rivals appear in generated answers for selected buyer prompts.
- Offline share-of-voice (SoV) is the mention-rate total from the offline runs only.
- Optional live rows: we paste three high-stakes questions into ChatGPT Search and Google AI Overview.
- Those live pastes stay separate. They are not folded into the offline total.
- That split keeps the snapshot readable and comparable.
03
How the mini works
About eight buyer questions, three offline runs each, then score who gets named.
- Optional: three live spot-checks (six live boxes: each question in ChatGPT Search and in Google AI Overview). Skippable if a surface blocks the paste.
- Live surfaces: ChatGPT Search and Google AI Overview.
- Sample page shows illustrative numbers for a fake brand (Northline Advisory).
- Product process stays about eight questions times three offline runs, plus those optional live pastes.
04
What it does not prove
One pass on a small query set. Directional. The paid Diagnostic is the full backlog.
- Not every query in your category.
- Engines differ day to day, so one pass is a snapshot, not a guarantee.
- Does not prove sitemap, llms.txt, or extractability are fixed.
- Those crawl signals are what the free crawl check on the AEO page covers.
Questions
- What problem does the AI visibility mini address?
- Buyers ask ChatGPT, Perplexity, Gemini, and Google AI Overviews who to hire or buy from. If rivals get named and you do not, you lose the shortlist before anyone visits your site. The visibility mini shows whether your brand is mentioned on a small set of category buyer queries.
- What does JARVIS measure in an AI visibility mini?
- We measure mention rate: how often your brand and named rivals appear in generated answers for selected buyer questions. Offline share-of-voice (SoV: the mention-rate total from those offline runs) is counted separately from optional live spot-checks, where we paste three high-stakes questions into ChatGPT Search and Google AI Overview.
- How does the JARVIS AI visibility mini work?
- We run about eight buyer questions, three times each, offline, and score who gets named. Optionally we add three live spot-checks: each question pasted once in ChatGPT Search and once in Google AI Overview (six live boxes, skippable if a surface blocks the paste). Live rows stay out of the offline SoV total. See an illustrative snapshot at jarvisai.co.in/sample.
- What does the AI visibility mini not prove?
- The visibility mini is a directional first pass on a small query set. The paid Diagnostic is the full backlog. Engines differ day to day. For sitemap, llms.txt, and extractability, request the free crawl check on the AEO page.