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

Stampstampmail.ai

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

Documents & Meetingsstampmail.aiTracked since 2026-08-191 discovery source
337Backlinks
77Referring domains
16Domain authority
+32.7%Referring domains · 90 days

Authority & distribution

How strong is Stamp’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

337Current snapshot

Referring domains

77Current snapshot

Authority

16Domain authority · category median 22

90-day move

+32.7%Referring domains, last 90 days
At 16, Stamp 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.

See the trajectoryOpen the full profile

Traffic & engagement

Where Stamp ranks

Measured · Pro

Measured for this product: global rank and country rank.

Unlock this profileOpen the full profile

AI referral visibility

Which AI assistants are already sending Stamp traffic?

Measured · Pro

Measured for this product: AI referral traffic.

Unlock this profileOpen the full profile

Product profile

What Stamp is selling.

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

“Stamp”

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

Documents & MeetingsSeen 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://www.stampmail.ai/?ref=futuretools.io

Observed across 1 discovery source.

Research questions

What the evidence answers about Stamp.

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 Stamp do and what problem does it solve?

Stamp is an AI secretary that manages email and calendar tasks. It learns user preferences to draft, prioritize, summarize, and schedule in the user's voice and context, solving the problem of email overload and time management.

What features does Stamp offer?

Stamp offers features including automatic replies, context gathering from contacts and past emails, long-term memory personalization, AI Labels for categorization, a mobile app, and voice mode. It can bulk draft emails, search the web, and perform inbox actions.

How does Stamp learn a user's preferences?

Stamp learns preferences through three features: Memories that are created after every interaction, AI Labels configured in plain English to specify actions, and Context Search that understands writing style and availability.

What is Stamp used for and in what situations?

Stamp is used to handle email correspondence and calendar scheduling. It is used when a person wants to automate inbox management, draft replies, search the web, and schedule events, effectively acting as a personal secretary.

Who is Stamp designed for?

Stamp is designed for doers, or professionals who need to manage their email and calendar efficiently. The product is described as perfect for those who need a personal secretary to handle tasks and save time.

What is Stamp?

Stamp is an AI secretary for email and calendar management that learns user preferences to automate inbox tasks and scheduling.

Behind the lock

Unlock full Stamp 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