AI Visibility Scorecard
valencevibrations.com · Technology
Borderline visible. AI bots can crawl Valence AI, but the structured-data signals are thin - you are at real risk of being skipped when buyers ask ChatGPT, Claude, or Perplexity for a recommendation.
AI engines read this profile 7 times
ChatGPT · Meta AI · Apple Intelligence · Claude
#654,164 of 2,706,204 in Technology for AI visibility
3
AI Naming Predictability
iRarely named · 3/100
More likely to be named than 85% of Technology companies
4
AEO Visibility
iBorderline · 4.2/10
35
Muse Index Score
iAI agent readiness
Agent-ready · 35/100
4
AI Adoption
iBasic · 4/100
from our crawl and measurement
Valence AI describes itself simply: "Emotion AI platform that detects and classifies emotions from vocal tone in real time for contact centers, sales teams, and AI voice agents." When AI engines look at it, they find little to work with. It scores 4.2 out of 10.
On its own pages the site does well on a clear heading structure, crawler access and the files AI engines look for and sitemaps and entity links AI can follow. It is passable on some structured data and a partly stated business identity. What holds it back is credibility markers like credentials or reviews.
Off the page, other sites link to it. There is some, but not much, sign that the domain is only lightly established. Beyond that, AI engines do not yet recognise it as a distinct business, there is no press coverage to draw on, nobody is discussing it where AI engines look and it does not come up on Reddit. None of that can be fixed on the page: it has to be earned.
Strong · Good · Fair · Weak
Structured Data
Good
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Good
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Fair
Experience, Expertise, Authority, Trust markers.
Technical AEO
Good
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Strong
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Strong
Inbound links from other sites.
Domain Authority
Weak
Little domain authority yet.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Weak
No community discussion yet.
Social Mentions
Weak
No social discussion found yet.
Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 4.2/10, Valence AI is crawlable but under-signaled - fixable, and the signals above are where to start.
What is Valence AI?
Valence AI is an emotion intelligence platform that detects and classifies emotions from vocal tone during live and recorded customer calls. The Pulse API analyzes voice streams in real time and returns emotion classifications so your team can respond with empathy at the moment it matters most.
How does vocal tone emotion detection work?
Valence analyzes acoustic features of speech including pitch, energy, speech rate, and spectral patterns to classify emotions in real time. Unlike text-based sentiment analysis, which only processes what someone says, Valence processes how they say it. The Pulse API classifies 10 core emotions from voice with 92% accuracy.
What is the Pulse API?
The Pulse API is Valence AI core product. It is a REST API that ingests voice streams from live calls or recorded audio and returns real-time emotion classifications. It works with both human agent calls and AI voice agent conversations. Integration takes a single API call.
Who is Valence AI built for?
Valence serves two primary audiences: enterprise contact center and CX teams who want to coach agents, reduce escalations, and improve CSAT scores; and developers building AI voice agents who need emotional awareness to make their agents sound more natural and human.
How is Valence AI different from text-based sentiment analysis?
Text-based sentiment tools analyze the words a customer uses. Valence analyzes vocal tone, which captures emotional signals before a customer explicitly states how they feel. Valence detects the vocal signal in real time so your team can respond before the conversation escalates.
Can Valence AI integrate with my existing voice stack?
Yes. The Pulse API integrates with most agentic voice setups and CCaaS platforms. You send voice streams to the API and receive emotion classifications back in real time.
What results can I expect from using Valence AI?
Teams using Valence have seen a 15% increase in sales close rates from emotion-driven conversation guidance, measurable reductions in escalation rates, and improved CSAT scores.
Does Valence AI work with AI voice agents?
Yes. Valence adds emotional intelligence to AI voice agents. Most AI agents miss emotional cues entirely. Valence gives AI agents awareness of a callers emotional state so they can adjust tone, pacing, and responses in real time.
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The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.
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Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/valencevibrations
Cite this score: Engagemii (2026). "AEO Score for Valence AI." Retrieved from https://engagemii.com/aeo/brands/valencevibrations
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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