Blend-ed is an AI-first Learning Management System (LMS) built on Open edX®, designed to automate course creation and deliver personalized training experiences.
Learning & Educationblend-ed.comTracked since 2026-08-211 discovery source
10.3KBacklinks
123Referring domains
22Domain authority
+8.3%Referring domains · 90 days
Authority & distribution
How strong is Blend-ed’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
10.3KCurrent snapshot
Referring domains
123Current snapshot
Authority
22Domain authority · category median 21
90-day move
+8.3%Referring domains, last 90 days
At 22, Blend-ed sits above the 21 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.
“Blend-ed”
Blend-ed is an AI-first Learning Management System (LMS) built on Open edX®, designed to automate course creation and deliver personalized training experiences.
Learning & EducationSeen 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://www.blend-ed.com
Observed across 1 discovery source.
Research questions
What the evidence answers about Blend-ed.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What key features or components does Blend-ed offer?
Blend-ed offers an AI-powered platform for course creation, personalized learning paths, skill gap detection, and performance measurement. It includes features for branding client portals, issuing accredited certificates, and conversational AI coaching for on-demand support. (homepage.meta_description, homepage.main_text)
What technology is Blend-ed built upon?
Blend-ed is built on Open edX, which is described as one of the world's most trusted and scalable learning infrastructure platforms. This foundation is enhanced with AI capabilities at every layer. (homepage.main_text)
What is Blend-ed and what core problem does it solve?
Blend-ed is an AI-first Learning Management System (LMS) built on Open edX®, designed to automate course creation and deliver personalized training experiences. It replaces patchwork tools with a single system to help professional training providers understand team learning needs, pinpoint skill gaps, and turn learning data into performance outcomes. (product.description, homepage.main_text)
Who is Blend-ed designed for?
Blend-ed is designed for professional training companies and organizations. The platform is built to help training providers grow their business by delivering, certifying, and managing training operations in one system. (homepage.title, homepage.main_text)
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 Blend-ed 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