100 Questions

100 Questions is best for consultants, agencies, and in-house teams that need a bounded AI visibility baseline, an evidence-linked client deliverable, or a comparable rerun after implementation work.

Choose continuous monitoring when you need daily or weekly trend lines, alerts, a large configurable prompt program, Perplexity coverage, or ongoing multi-project reporting. 100 Questions is deliberately a point-in-time benchmark rather than an always-on dashboard.

The first benchmark costs $9. After that, one benchmark costs $15, three cost $39, and ten cost $99. There is no subscription, credits remain valid for 12 months, and Stripe shows applicable taxes before payment.

No. It measures a time-stamped, API-grounded sample and preserves the evidence behind it. AI answers vary by provider, model, search results, prompt, location, and time, so no credible tool can guarantee future mentions or citations.

It measures whether web-grounded AI answers mention a target brand, how prominently it appears, how its answer-level mentions compare with selected competitors, and whether answers cite the submitted domain. 100 Questions presents those signals with their denominators and source evidence.

A benchmark sends the same frozen 25-question set to OpenAI, Anthropic, Google, and xAI through Vercel AI Gateway. The exact model IDs are configurable and are frozen with each run so the result records what was tested.

Each run uses 25 unique questions and asks all 25 across four providers. That creates 100 planned provider answers: 25 × 4. The shared set makes the provider comparison more consistent than asking a different set to each model.

Twenty discovery questions ask neutral category or use-case questions without naming the target, its aliases, or its domain. Five diagnostic questions name the target to examine trust, comparisons, pricing, support, implementation, and factual knowledge.

The provider call must succeed and return valid HTTP or HTTPS web sources. Missing-source, unsupported-search, and failed results do not enter eligible-score denominators. They remain visible in coverage so a missing answer cannot silently improve or weaken a metric.

No. This is an API-grounded benchmark. Consumer chat products can use different prompts, personalization, routing, models, and search behavior. A run should be treated as a time-stamped directional comparison, not a prediction of every consumer session.