Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

Iris.ai

No product description has been published for this domain yet. Everything below is measured directly.

Developer & AI Platformiris.aiTracked since 2026-08-193 discovery sources
10.6KBacklinks
2.1KReferring domains
30Domain authority
+2.3%Referring domains · 90 days

Authority & distribution

How strong is Iris.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

10.6KCurrent snapshot

Referring domains

2.1KCurrent snapshot

Authority

30Domain authority · category median 22

90-day move

+2.3%Referring domains, last 90 days
At 30, Iris.ai 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.

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Traffic & engagement

Where Iris.ai ranks

Measured · Pro

Measured for this product: global rank, country rank and category rank.

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AI referral visibility

Which AI assistants are already sending Iris.ai traffic?

Measured · Pro

Measured for this product: AI referral traffic, which assistants refer it and which pages those referrals land on.

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Product profile

What Iris.ai is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“Iris.ai”

No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.

Developer & AI PlatformSeen 2026-08-19 → 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://iris.ai/?ref=futuretools.io

Observed across 3 discovery sources.

Research questions

What the evidence answers about Iris.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 problem does Iris.ai solve for enterprises?

Iris.ai solves the problem of unifying complex enterprise data to empower next-generation AI agents and applications. It provides an AI knowledge foundation specifically designed for regulated enterprises to augment expert knowledge. The product's core function is to turn complex, fragmented data into a trusted and usable resource for AI.

Who is the primary audience for Iris.ai?

Iris.ai is designed for regulated enterprises that need to build and deploy AI agents and applications. The platform targets industries requiring strong data governance and trust, offering an 'AI knowledge foundation' to unify their complex data. It is categorized as a 'Developer & AI Platform' to serve this market.

What does Iris.ai offer or include?

Iris.ai offers a platform that unifies complex enterprise data to power AI agents and applications. Its features include creating an 'AI knowledge foundation' and turning data into a trusted resource. The product mentions providing solutions, case studies, and credits on its website.

In what situations would a company use Iris.ai?

A company would use Iris.ai when it needs to unify complex, fragmented data to build and trust AI agents or applications, especially in regulated industries. It is used to augment existing expert knowledge with AI. The platform is relevant for businesses aiming to create an internal knowledge base for AI-driven decision-making and automation.

4 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 Iris.ai intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which one of them does it, and the page they land on.
  • 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