Applyre is an AI-powered platform that automates job applications by scanning listings, customizing resumes, and submitting applications on behalf of job seekers, saving them hours of time daily.
Marketing & Salesapplyre.comTracked since 2026-08-211 discovery source
2.6KBacklinks
121Referring domains
22Domain authority
-0.9%Referring domains · 90 days
Authority & distribution
How strong is Applyre’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
2.6KCurrent snapshot
Referring domains
121Current snapshot
Authority
22Domain authority · category median 22
90-day move
-0.9%Referring domains, last 90 days
At 22, Applyre 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.
Traffic makes more sense when you can connect it to the actual product promise.
“Applyre”
Applyre is an AI-powered platform that automates job applications by scanning listings, customizing resumes, and submitting applications on behalf of job seekers, saving them hours of time daily.
Marketing & SalesSeen 2026-08-21 → 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://applyre.com
Observed across 1 discovery source.
Research questions
What the evidence answers about Applyre.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
How does Applyre work, and what is the process after signing up?
After signing up, Applyre follows a four-step, zero-effort process: it scans thousands of company career pages daily for new roles matching your preferences, prepares a tailored application with a customized resume and cover letter, has a human review everything for accuracy and tone, and finally submits the application through the company's career page, sending you the confirmation email.
What features and services does Applyre include?
Applyre includes AI-driven job scanning from company career pages, automatic filtering based on user preferences (location, remote, salary, skills), AI customization of resumes and cover letters for each application, human verification of all submissions before sending, and application tracking with confirmation emails.
What is Applyre and what problem does it solve?
Applyre is an AI-powered platform that automates job applications by scanning listings, customizing resumes, and submitting applications on behalf of job seekers. It solves the problem of spending hours manually searching for and applying to jobs by finding, tailoring, and submitting applications daily.
Who is Applyre designed for?
Applyre is designed for job seekers who want to automate their job application process and save time. The platform mentions it is used by over 1,000 job seekers.
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 Applyre 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