Relevance AI

As of 15 June 2026, Relevance AI ranks 10th of 25 in Low-Code Platforms on the Agent Reality Index — scored 59.6 of 100, led by market demand.

#10 59.6 Index / 100

Score breakdown

Market demand 60
Developer adoption 12
Real usage 72
Momentum 0
Production readiness 0
Community 0

Relevance AI is closed-source, so the index scores it on real demand alone (search + AI-search) — GitHub adoption signals don't apply, which is why the other bars read zero.

Real-world demand

18kGoogle searches / mo
323AI / LLM searches / mo
18kProduct-site visits / mo

Demand measured via Product-site traffic · confidence: medium · Proprietary / closed-source — no public repo, so it is scored on real demand alone.

Relevance AI — frequently asked questions

What is Relevance AI's Agent Reality Index ranking?

As of 15 June 2026, Relevance AI ranks 10th of 25 in Low-Code Platforms, with an overall Agent Reality Index score of 59.6 of 100.

How is Relevance AI scored?

The index blends six real-world signals — market demand (weighted most heavily), developer adoption, real usage, momentum, production-readiness, and community — into a 0–100 score, rather than relying on GitHub stars or vendor opinion. Because Relevance AI is closed-source, it is scored on demand signals alone.

Is Relevance AI open source?

Relevance AI is closed-source — there is no public repository, so the Agent Reality Index scores it on real-world demand alone.

How popular is Relevance AI?

Measured 15 June 2026, Relevance AI draws about 18k Google searches a month, around 323 AI and LLM searches. Demand confidence is rated medium.

Whichever tool you pick, the framework is the replaceable layer. Is your organisation ready?

Take the assessment →