ReFocus AI helps insurance agencies reduce servicing costs and improve customer retention using AI-powered analytics to identify at-risk accounts and streamline renewals.
Business Specialistrefocusai.comTracked since 2026-08-211 discovery source
305Backlinks
134Referring domains
19Domain authority
+2.4%Referring domains · 90 days
Authority & distribution
How strong is ReFocus AI’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
305Current snapshot
Referring domains
134Current snapshot
Authority
19Domain authority · category median 22
90-day move
+2.4%Referring domains, last 90 days
At 19, ReFocus AI sits below the 22 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.
“ReFocus AI”
ReFocus AI helps insurance agencies reduce servicing costs and improve customer retention using AI-powered analytics to identify at-risk accounts and streamline renewals.
Business SpecialistSeen 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://www.refocusai.com
Observed across 1 discovery source.
Research questions
What the evidence answers about ReFocus AI.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What problem does ReFocus AI solve for insurance agencies?
ReFocus AI helps insurance agencies reduce servicing costs and improve customer retention by identifying at-risk accounts and streamlining renewals. It uses AI-powered analytics on AMS & CRM data to enable proactive outreach, which addresses the challenge of high service costs and client churn.
What key features or services does ReFocus AI offer?
Key features include call sentiment analysis to assess client engagement, policy lifecycle scanning to detect churn risks, and automated re-quoting for agencies and MGAs. It integrates with AMS and CRM data sources.
What is ReFocus AI used for?
It is used for streamlining insurance servicing by analyzing client interactions and coverage changes to detect early signs of churn. The software enables proactive outreach, assesses call sentiment, and automates re-quoting to strengthen relationships and boost renewals.
Who is ReFocus AI for?
ReFocus AI is designed for insurance agencies, MGAs, and their partners. The platform is tailored to help these organizations manage client retention and servicing workflows.
What is ReFocus AI?
ReFocus AI is AI-powered software for insurance agencies that uses data analytics to identify at-risk clients and streamline renewals, categorized as a Business Specialist tool.
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 ReFocus AI 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