The short version
100 Questions finds where web-grounded AI models overlook a brand, why competitors appear instead, and what to fix next with source-backed evidence.
- Runs a buyer-question benchmark instead of a generic keyword report.
- Shows missed questions, competitor share of voice, and citation evidence.
- Separates visibility problems from source-authority problems.
- Returns prioritized fixes so the next page has a job.
What it is
100 Questions is built around the way buyers now ask software questions: they ask an AI model for options, tradeoffs, comparisons, and recommendations. The product checks whether a brand shows up in those web-grounded answers and what sources are being trusted instead.
Who it helps
The best user is a founder or marketer who already has a website but does not know whether AI search understands the product. Traditional SEO tools can show rankings and backlinks. 100 Questions is focused on the newer problem: does the model cite you when buyers ask the questions that should lead to you?
Why Decent4 built it
Decent4 is building pages that need to be understood by both search engines and AI assistants. That means raw HTML facts, clear product claims, pricing, support paths, source-backed pages, and third-party evidence. 100 Questions makes that visibility problem measurable.
Where it fits
100 Questions is the diagnosis layer. MarketMaster can help create a campaign, Decent4 can build the site, and 100 Questions can show which buyer questions still need better pages, better citations, or better off-site authority.
See the live product.
This article is part of the Decent4 portfolio publishing track: real products, real pages, and indexable facts that search engines and AI assistants can cite.
Open 100 Questions