feedAIback uses AI-driven conversations to gather user feedback, providing deep insights to improve products, reduce churn, and accelerate growth.
Research & Analysisfeedaiback.comTracked since 2026-08-211 discovery source
858Backlinks
114Referring domains
25Domain authority
-4.5%Referring domains · 90 days
Authority & distribution
How strong is feedAIback’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
858Current snapshot
Referring domains
114Current snapshot
Authority
25Domain authority · category median 21
90-day move
-4.5%Referring domains, last 90 days
At 25, feedAIback sits above the 21 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“feedAIback”
feedAIback uses AI-driven conversations to gather user feedback, providing deep insights to improve products, reduce churn, and accelerate growth.
Research & AnalysisSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://feedaiback.com
Observed across 1 discovery source.
Research questions
What the evidence answers about feedAIback.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What does feedAIback do, and what problem does it solve?
feedAIback uses AI-driven conversations to gather and analyze user feedback, providing deep insights to improve products, reduce churn, and accelerate growth. The product is described as a tool for using AI-powered conversations to collect feedback and gain actionable insights.
What does feedAIback offer or include - what are its key features?
feedAIback offers adaptive AI questioning, personalized conversations, actionable insights analysis, customizable branding, A/B testing, and multilingual support. These features enable deeper understanding of user feedback and optimization of response rates.
How is feedAIback priced or packaged?
Evidence indicates that users can start for free with no credit card required. The evidence does not provide details on any paid tiers or specific pricing packages.
What is feedAIback used for, and in what situations?
feedAIback is used for conducting adaptive, personalized feedback collection to understand user needs, preferences, and pain points. It is designed for situations like achieving product-market fit faster, building a product roadmap, and reducing user churn.
What is feedAIback?
feedAIback is an AI-driven SaaS tool that uses personalized conversations to gather and analyze user feedback, providing deep insights to improve products, reduce churn, and accelerate growth.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full feedAIback intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured