Client-ready AI visibility reports, without another subscription
Your clients are already asking whether AI recommends them. 100 Questions turns that conversation into a deliverable: a scored, evidence-linked audit across OpenAI, Claude, Gemini, and Grok that you run per client, export, and present—paid per benchmark, not per seat.
Where it fits
Pitch, deliver, prove
Pitch with a baseline
Deliver the report
Prove the movement
Evidence-linked findings you can defend in a client meeting
Competitor share of voice with the competitors you choose
Five prioritized actions mapped to stored answers and sources
PDF and CSV exports for decks, audits, and deliverables
Reruns that reuse the same questions for honest comparisons
Prepaid credits—no per-client subscription or seat fees
Per-benchmark economics
Fixed cost in, billable deliverable out
Credits are prepaid and valid for 12 months. Most agencies fold the benchmark into an audit, GEO engagement, or quarterly review—your margin is the packaging, analysis, and remediation work around it.
First benchmark
$9
1 complete benchmark
Three benchmarks
$39
3 complete benchmarks
Ten benchmarks
Agency pick$99
10 complete benchmarks
Agency questions
Frequently asked questions
Can I use the reports with my clients?
Yes. Runs are private to your account, and each completed benchmark includes PDF and CSV exports designed as client-ready deliverables. Your client does not need an account—you run the benchmark, export the report, and present it alongside your recommendations.
How does pricing work for multiple clients?
Credits are prepaid and valid for 12 months: one credit runs one complete benchmark for one subject. Agencies typically buy the three-pack or ten-pack and allocate credits across clients as audits, deliverables, or rerun comparisons come up. There is no subscription, seat fee, or per-provider add-on.
How do reruns work for retainer clients?
A rerun reuses the exact question set from the original benchmark, then compares visibility, citations, competitor mentions, and coverage against that baseline. That makes it a natural artifact for quarterly reviews: same test, new timestamp, directional movement you can show.
What should I tell clients about the methodology?
Point them at the public methodology page. Results are directional, API-grounded snapshots across OpenAI, Claude, Gemini, and Grok with shared web-search grounding—not replicas of any individual's consumer chat session. Metrics with under 90% provider coverage are marked provisional, and every number links to stored evidence, which is exactly the transparency a skeptical client wants.
First client audit