Adoreboard uses AI to rapidly analyze and theme open-text feedback, enabling organizations to uncover deep emotional insights and act on them for improved customer and employee experiences.
Data & Analyticsadoreboard.comTracked since 2026-08-211 discovery source
976Backlinks
418Referring domains
27Domain authority
+4.9%Referring domains · 90 days
Authority & distribution
How strong is Adoreboard’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
976Current snapshot
Referring domains
418Current snapshot
Authority
27Domain authority · category median 22
90-day move
+4.9%Referring domains, last 90 days
At 27, Adoreboard sits above 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.
“Adoreboard”
Adoreboard uses AI to rapidly analyze and theme open-text feedback, enabling organizations to uncover deep emotional insights and act on them for improved customer and employee experiences.
Data & AnalyticsSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
5 of 8 signal groups are available for this product: identity, traffic and engagement, authority and backlinks, AI referrals, search demand.
Not measured for this domain: audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://adoreboard.com
Observed across 1 discovery source.
Research questions
What the evidence answers about Adoreboard.
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 Adoreboard solve for organizations?
Adoreboard solves the problem of analyzing open-text feedback to uncover deep emotional insights and predict revenue impact. It transforms customer feedback into financial outcomes by quantifying trust, predicting churn, and prioritizing actions. This helps organizations move from reporting scores to predicting revenue impact.
What features or capabilities does Adoreboard offer?
Adoreboard offers features including 100% feedback analysis with exploratory analysis and emotion detection, analysis of 24 emotions across 8 emotional intensities, and a proprietary emotional database supported by AI. It can analyze 1,000 comments in under 30 seconds, integrates with platforms like Qualtrics, and generates a strategic narrative report in a single click.
What is Adoreboard used for, and in what situations?
Adoreboard is used to rapidly analyze and theme open-text feedback from sources like surveys (e.g., Qualtrics, Zendesk) or native surveys. It is used in situations where organizations need to surface unknown themes, detect silent risks like potential customer churn from 'neutral' feedback, and generate strategic reports to prioritize issues based on financial return.
Who is Adoreboard designed for?
Adoreboard is designed for enterprise organizations, as it is trusted by Fortune 1000 companies. It is for teams that need to analyze customer and employee experience feedback to understand pain points and make data-driven decisions to protect their bottom line.
What is Adoreboard?
Adoreboard is a Customer Experience (CX) Predictive Insights Platform that uses AI to analyze open-text feedback and predict the next best action for better customer experiences that translate to revenue impact.
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 Adoreboard 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.
Traffic and engagementMonthly visits, the history behind them, and what visitors do once they arrive.
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