Marqo is an end-to-end embedding platform that enables training, deployment, and management of 150+ embedding models for semantic search, with multimodal and multilingual capabilities.
Data & Analyticsmarqo.aiTracked since 2026-08-211 discovery source
3KBacklinks
752Referring domains
26Domain authority
+6.1%Referring domains · 90 days
Authority & distribution
How strong is Marqo’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
3KCurrent snapshot
Referring domains
752Current snapshot
Authority
26Domain authority · category median 22
90-day move
+6.1%Referring domains, last 90 days
At 26, Marqo 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.
“Marqo”
Marqo is an end-to-end embedding platform that enables training, deployment, and management of 150+ embedding models for semantic search, with multimodal and multilingual capabilities.
Data & AnalyticsSeen 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.marqo.ai
Observed across 1 discovery source.
Research questions
What the evidence answers about Marqo.
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 Marqo do and what problem does it solve?
Marqo is an end-to-end AI-native platform that powers product discovery for e-commerce, solving the problem of irrelevant search results. It trains, deploys, and manages over 150 embedding models for semantic search with multimodal and multilingual capabilities, helping retailers turn interactions into measurable revenue.
In what situations is Marqo used and what is it used for?
Marqo is used for e-commerce search, recommendations, and merchandising. It is an AI-native platform designed for enterprise retailers to provide smarter search, higher conversion, and agentic product discovery that drives sales.
What features and capabilities does Marqo offer?
Marqo offers intelligent understanding with semantic relevance and typo tolerance, adaptive journeys that respond to shopper intent, and strategic automation for ranking and boosts. It features a pixel for capturing user interaction data, trains a dedicated LLM on a retailer's catalog, and provides a dashboard with event quality metrics.
Who is Marqo for?
Marqo is for enterprise retailers and brands looking to enhance their e-commerce product discovery. The platform is used by leading brands to increase search revenue, conversion rates, and customer satisfaction.
What is Marqo?
Marqo is an AI-native e-commerce search and product discovery platform. It is a data and analytics tool that uses embeddings and machine learning for data-driven search optimization.
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 Marqo intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send, which 3 of them do it, and the 3 pages they land on.
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