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Market/Categories/Business Specialist/Atomic AI

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

Atomic AIatomic.ai

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

Business Specialistatomic.aiTracked since 2026-08-191 discovery source
633Backlinks
272Referring domains
24Domain authority
-9.2%Referring domains · 90 days

Authority & distribution

How strong is Atomic 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

633Current snapshot

Referring domains

272Current snapshot

Authority

24Domain authority · category median 22

90-day move

-9.2%Referring domains, last 90 days
At 24, Atomic 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.

See the trajectoryOpen the full profile

Traffic & engagement

Where Atomic 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 Atomic AI traffic?

Measured · Pro

Measured for this product: AI referral traffic.

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Product profile

What Atomic AI is selling.

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

“Atomic AI”

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

Business SpecialistSeen 2026-08-19 → 2026-08-19Coverage 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://atomic.ai/

Observed across 1 discovery source.

Research questions

What the evidence answers about Atomic 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 Atomic AI solve?

Atomic AI simplifies the selection and application of AI tools for drug discovery. It uses machine learning to predict RNA structure and function, unlocking new possibilities for RNA-centric medicines. The platform integrates its ATOM-1 foundation model with in-house wet-lab assays to accelerate R&D.

What features or capabilities does Atomic AI offer?

Atomic AI offers the ATOM-1 foundation model, which provides precise predictions of RNA structure and function. It features an integrated R&D platform that combines this model with purpose-built, in-house wet-lab assays to create RNA-centric medicines.

What is Atomic AI used for, and in what situations?

It is used for RNA drug discovery, specifically for predicting RNA structure and function with high precision. This is applied in the development of next-generation therapeutics, including RNA-targeted small molecules and RNA-based treatments, within biotechnology and pharmaceutical research.

Who is Atomic AI for?

Atomic AI is designed for researchers and teams in the biotechnology and pharmaceutical industries who are working on RNA-centric drug discovery and development workflows.

What is Atomic AI?

Atomic AI is an AI-driven drug discovery platform that uses machine learning, particularly its ATOM-1 foundation model, to predict RNA structure and function for developing next-generation RNA-centric medicines.

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 Atomic 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