They pay for a repeatable, frozen benchmark with provider failures handled, citations normalized, every metric tied to evidence, and a report that is ready to act on.
REPLACEMENT BRIEF
seo & marketing
Can AI replace 100 Questions?
EDITORIAL ANSWERKINDACurated prompt
Generate buyer questions, run each through four web-grounded model APIs, detect brand and competitor mentions, collect citations, and render a comparison report.
Build the personal version →AT A GLANCE
- price
- $9/mo
- listed annual price
- $108/yr
- replaceable scope
- Generate buyer questions, run each through four web-grounded model APIs, detect brand and competitor mentions, collect citations, and render a comparison report.
- build time
- multi-day
what AI can build
Generate buyer questions, run each through four web-grounded model APIs, detect brand and competitor mentions, collect citations, and render a comparison report.
A personal CLI that asks the same questions across four model APIs and compares the answers is weekend-buildable, but matching the product's web-grounded runs, source normalization, failure handling, durable evidence, scoring, and polished reports takes substantially more work.
The prompt was editor-reviewed; no completed build is recorded.
The honest tradeoff
why people still pay
what you lose
xreliable orchestration and retries across four providers
xnormalized citations and evidence-linked metrics
xcompetitor and missed-question extraction
xstored point-in-time reports and comparisons
xpolished exports and action recommendations
Start with existing software
prior art · use these instead of building, if you'd rather
No mature prior art is listed yet. The workaround prompt below is still an unverified starting point.
EVIDENCE LEDGER
What this page can prove
The verdict judges replaceability. The evidence level records what DeepFeather actually checked.
evidence level
Curated promptThe prompt was editor-reviewed; no completed build is recorded.
First benchmark · one-time per benchmark
known limits · reliable orchestration and retries across four providers; normalized citations and evidence-linked metrics
Build promptreviewed prompt · not run
the prompt
Curated promptBuild me a local AI visibility benchmark for one brand. Requirements: - Use Node 22, TypeScript, official provider SDKs, SQLite, and a CLI. - `benchmark --domain example.com --description "..."` creates one immutable run. - Generate 25 buyer questions from the domain and description, or accept a JSON question file. - Ask the exact same questions through OpenAI, Anthropic, Gemini, and xAI. - Use each provider's supported web-search or grounding tool; keys live only in `.env`. - Limit concurrency per provider, retry transient failures, and preserve failed cells in the report. - Store prompts, raw answers, citations, timestamps, model ids, and errors in SQLite. - Detect exact and case-insensitive brand mentions; allow aliases in a config file. - Extract named competitors with one structured LLM pass after all answers are stored. - Normalize citation URLs by hostname, canonical URL, and stripped tracking parameters. - Compute visibility by provider, answer coverage, owned-domain citation rate, and top sources. - Show missed questions where competitors appear but the target brand does not. - Render a self-contained static HTML report with filters and expandable raw evidence. - Export questions, answer metrics, competitors, and citations as CSV files. - Every aggregate metric must link back to the answer rows used to calculate it. - Out of scope: accounts, billing, teams, scheduled monitoring, and recommendation generation. - Include fixture-based tests for mention detection, URL normalization, and metric calculations. - README: setup, provider-specific grounding caveats, estimated API cost, and exact run commands.
Copy or open in an agent
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$ open in your agent (prompt prefilled, you press enter) or copy it raw
BUILD FEEDBACK
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questions
Can AI replace 100 Questions?
Possibly for a narrower core workflow, but this catalog judgment is not a verified build. Expected gaps include: reliable orchestration and retries across four providers, normalized citations and evidence-linked metrics. Validate the prompt against your own acceptance criteria before committing.
How much does 100 Questions cost?
100 Questions is listed at about $9/month (First benchmark, checked 2026-07-31), or $108 per year. This is a pricing reference, not evidence of a completed replacement or realized savings.
What do I lose by replacing 100 Questions?
Honestly: reliable orchestration and retries across four providers; normalized citations and evidence-linked metrics; competitor and missed-question extraction; stored point-in-time reports and comparisons; polished exports and action recommendations. If any of those are load-bearing for you, keep paying.
Is there an open-source alternative to 100 Questions?
No mature open-source alternative is listed yet. The prompt is an unverified starting point, not proof that a one-shot replacement will work.