Valence AI provides emotion AI infrastructure to analyze human voices in conversations, enabling companies to understand customer feelings and improve interactions.
Customer Supportgetvalenceai.comTracked since 2026-08-211 discovery source
376Backlinks
160Referring domains
20Domain authority
+41.3%Referring domains · 90 days
Authority & distribution
How strong is Valence 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
376Current snapshot
Referring domains
160Current snapshot
Authority
20Domain authority · category median 22
90-day move
+41.3%Referring domains, last 90 days
At 20, Valence 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.
“Valence AI”
Valence AI provides emotion AI infrastructure to analyze human voices in conversations, enabling companies to understand customer feelings and improve interactions.
Customer SupportSeen 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.getvalenceai.com
Observed across 1 discovery source.
Research questions
What the evidence answers about Valence 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 does Valence AI do?
Valence AI provides emotion AI infrastructure to analyze human voices in conversations. This enables companies to understand customer feelings and improve interactions, such as in customer support. The product offers real-time vocal emotion detection to understand how customers feel from sales conversations to support calls.
What problem does Valence AI solve?
Valence AI solves the problem of understanding customer emotions during voice interactions. It helps companies respond with empathy, deliver trust, and build stronger relationships at scale by analyzing vocal tone and speech to classify real-time emotions and track conversation inflection points.
What features or capabilities does Valence AI offer?
Valence AI offers features like the Pulse API for analyzing emotions live during conversations and post-call for analytics. It integrates with human or AI voice agentic stacks to capture voice streams and classify real-time emotions from vocal tone and speech.
Who is Valence AI for?
Valence AI is for customer-obsessed teams, including support agents, AI quality assurance, and voice agent developers. It is designed for companies that want to understand customer feelings to boost sales, loyalty, and feedback.
What is Valence AI?
Valence AI is an emotion AI platform that analyzes human voices in conversations to provide companies with insights into customer feelings. It offers real-time vocal emotion detection and is used to improve customer interactions, agent coaching, and build emotionally aware AI voice agents.
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 Valence 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