OpenElevator leverages a proprietary AI algorithm to identify and resolve employee turnover risks, providing actionable insights to improve retention for businesses of all sizes.
Data & Analyticsopenelevator.comTracked since 2026-08-211 discovery source
569Backlinks
255Referring domains
21Domain authority
-36.0%Referring domains · 90 days
Authority & distribution
How strong is OpenElevator’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
569Current snapshot
Referring domains
255Current snapshot
Authority
21Domain authority · category median 22
90-day move
-36.0%Referring domains, last 90 days
At 21, OpenElevator 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.
“OpenElevator”
OpenElevator leverages a proprietary AI algorithm to identify and resolve employee turnover risks, providing actionable insights to improve retention for businesses of all sizes.
Data & AnalyticsSeen 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.openelevator.com
Observed across 1 discovery source.
Research questions
What the evidence answers about OpenElevator.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What is the core function of OpenElevator and what problem does it solve?
OpenElevator uses a proprietary AI algorithm to identify and resolve employee turnover risks, providing actionable insights to improve retention. It addresses the problem of invisible retention risk that traditional engagement tools and surveys fail to capture, as stated in its description and homepage.
What does OpenElevator offer or include?
OpenElevator offers a complimentary 'Key Team Scan' diagnostic for a single team of up to 10 people. It includes a 5-minute assessment per person, requires no team meetings, and provides a private leader debrief with insights on retention risk, misalignment, and recommended actions.
In what situations is OpenElevator used?
OpenElevator is used when leaders need to move beyond instinct and engagement surveys to get data-driven clarity on which employees may be at risk of leaving and why. It provides early warning signals to act before disengagement disrupts team performance.
How is OpenElevator priced or packaged?
The initial diagnostic scan for a team is offered as complimentary. The evidence specifies a 'Complimentary for one team of up to 10 people', but does not provide details on pricing for ongoing use or larger teams.
Who is OpenElevator designed for?
OpenElevator is designed for leaders in businesses of all sizes who need visibility into hidden team risks. The homepage specifically addresses leaders who may sense something is off but lack clear data, such as those managing a key team they cannot afford to misread.
What is OpenElevator?
OpenElevator is a platform that leverages a proprietary AI algorithm to provide leaders with visibility into hidden employee retention, alignment, and team friction risks before they result in turnover.
Behind the lock
Unlock full OpenElevator 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