DrugCard streamlines drug safety routines with AI-powered data intelligence, offering comprehensive local medical literature screening in over 100 languages.
Business Specialistdrug-card.ioTracked since 2026-08-211 discovery source
1.7KBacklinks
262Referring domains
23Domain authority
+0.0%Referring domains · 90 days
Authority & distribution
How strong is DrugCard’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
1.7KCurrent snapshot
Referring domains
262Current snapshot
Authority
23Domain authority · category median 22
90-day move
+0.0%Referring domains, last 90 days
At 23, DrugCard 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.
“DrugCard”
DrugCard streamlines drug safety routines with AI-powered data intelligence, offering comprehensive local medical literature screening in over 100 languages.
Business SpecialistSeen 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://drug-card.io
Observed across 1 discovery source.
Research questions
What the evidence answers about DrugCard.
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 DrugCard do and what problem does it solve?
DrugCard streamlines drug safety routines with AI-powered data intelligence, offering comprehensive local medical literature screening. It is designed to handle the pressures of the modern pharmacovigilance industry, such as increased regulatory audits and rising personnel costs.
What features does DrugCard offer?
DrugCard offers AI-powered automation for global and local literature monitoring, supporting over 100 languages. Its platform provides comprehensive screening across 2200+ local journals in 146+ countries, claiming a 60% time savings compared to human-only approaches.
What is DrugCard used for and in what situations?
DrugCard is used for automated literature monitoring and regulatory intelligence within the pharmacovigilance domain. It is applicable in situations requiring continuous, traceable, and multi-language screening across 146+ countries and 2200+ local journals.
Who is DrugCard for?
DrugCard is designed for Contract Research Organizations (CROs), Marketing Authorization Holders (MAHs), and Freelancers involved in pharmacovigilance. The platform helps CROs manage more projects and improve screening results.
What is DrugCard?
DrugCard is an AI-driven pharmacovigilance platform that automates literature monitoring and regulatory intelligence for drug safety.
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 DrugCard 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