Social listening meets video intelligence

dig vs Meltwater

Meltwater tracks mentions. dig reads the story inside the video.

Meltwater monitors text, news, and earned media across publications and social channels. dig analyzes what is said, shown, and felt inside video content on TikTok, Instagram Reels, and YouTube Shorts, with every insight traced back to the source clip.

Capability Meltwater
Deep video analysis (tone, scenes, logos, SKUs, spoken brand mentions & more) ~
Creator & trend discovery
Audience segmentation from visuals (age, locale, tone)
In-platform AI chat (multi-step research & theme extraction)
Easy setup (no Boolean queries)
Fake engagement & bot detection ~
Real-time viral alerts ~
Mention & news tracking
Native  ·  ~ Transcript only  ·  Not supported
Why choose dig

Why choose dig?

95%
Accuracy in tagging and classification
95%
Of posts detected within 15 minutes
100%
Traceability to source content
At a glance

dig vs Meltwater at a glance

Meltwater and dig operate at different layers. Meltwater monitors text, news, and earned media across publications and social channels. dig analyzes what is said, shown, and felt inside video content. The table below shows where each tool has coverage, and where video intelligence opens up a layer Meltwater cannot reach. For the full picture, see how dig compares across the category.

Where dig goes furtherdig has the capabilities. Meltwater does not.
Capability dig Meltwater
Deep video analysis (tone, scenes, logos, SKUs, spoken brand mentions) ~Transcript only
Narrative detection and tracking
Creator and trend discovery
Audience segmentation from visuals (age, locale, tone)
In-platform AI chat (multi-step research and theme extraction)
Easy setup, no Boolean queries
Spam and bot filtering ~Surface-level
Real-time viral detection ~Surface-level
Native ~ Surface-level / transcript only Not supported
Shared coverageBoth tools have the capability in this area.
Capability dig Meltwater
Text and post monitoring
Brand mention tracking
Mention and news tracking

Feature information reflects publicly available data as of June 2026. Verify current capabilities with each platform directly before making a purchase decision.

Voice of the user

What Meltwater users say they're missing

Recurring themes in public reviews: video tracked as tagged mentions only, missing data, and data that arrives too late to act on.

Complaints summarized from publicly posted G2 and Capterra reviews of Meltwater, with each card linked to its source, as of June 2026. Individual experiences vary; verify current capabilities with Meltwater directly.

The difference

What makes dig different?

01

dig sees inside video, not just around it

Social listening tools including Meltwater were built for a text-first internet. They monitor what is written about a brand across news, publications, and social posts. dig was built for a video-first social landscape. It reads what is actually said, shown, and felt inside video content: speech, on-screen text, visual context, tone, and sentiment, frame by frame. On TikTok, Instagram Reels, and YouTube Shorts, where most cultural and consumer conversation now happens, Meltwater has no visibility into the video itself. dig does. See how in-video analysis works.

02

dig detects the narratives before they become headlines

Mention monitoring tells you that your brand came up. Narrative intelligence tells you what story is forming around it, who is shaping it, and where it is heading. Add that layer on top of mention tracking and a scattered set of posts becomes a readable arc: the claim, the creators amplifying it, the sentiment shift, and the moment it starts to spread. You see a narrative take shape while there is still time to influence it, not after it lands in the press.

03

From alert to action

Most monitoring tools deliver an alert and stop there. dig gives communications, risk, and legal teams a structured path from detection to action through the RESPOND model: monitor, counter, promote, or take down. Impact scoring prioritizes which narratives matter most, so teams focus on what is actually likely to escalate. It is the difference between a feed of notifications and a decision you can defend. Explore dig Enterprise, the always-on layer of the wider dig.ai platform.

Trusted by leading brands

P&G Starbucks Mastercard OMG Catterton Pinterest Edelman Publicis Groupe
★★★★★
“I love the chat feature, it makes it so much faster and easier to analyze large amounts of data and posts and glean themes. Switching to dig also provided us with better data access all in one place.”
W
Whitney P. Enterprise (>1,000 employees) · Via G2 · 4.5/5

See what Meltwater can't show you.

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dig vs Meltwater FAQ

Frequently asked questions

What does Meltwater not cover that dig does?+
Meltwater monitors text, news, and earned media, and treats video as a transcript. dig analyzes the video itself: speech, on-screen text, scenes, logos, products, tone, and sentiment, frame by frame across TikTok, Instagram Reels, and YouTube Shorts. It also adds narrative tracking, creator and trend discovery, audience segmentation from visuals, and an in-platform AI research chat that Meltwater does not offer.
Can dig replace Meltwater entirely?+
For most brand, agency, comms, and research teams, yes. dig covers text and post monitoring, brand mention tracking, and news monitoring, and adds the video and narrative layer Meltwater lacks. Teams with deep PR distribution or legacy newswire workflows sometimes run both during a transition, then consolidate on dig.
How does dig analyze video content?+
dig reads each clip as one signal. It transcribes speech, reads on-screen text, recognizes scenes, logos, products, and people, and scores tone and sentiment, then connects those signals to the wider narrative and the creators driving it. Every insight is traceable back to the exact source post.
Is dig suitable for enterprise teams already using Meltwater?+
Yes. dig Enterprise is built for always-on brand monitoring and narrative intelligence at scale, with role-based access, alerting, and impact scoring. Setup needs no Boolean queries, so teams onboard in minutes rather than weeks.
How does dig's accuracy compare to other social listening platforms?+
dig benchmarks at 95% accuracy in tagging, classification, and content understanding, with 100% of insights traceable to real source posts and 90%+ social coverage across platforms, formats, and languages. Feature and accuracy claims reflect publicly available data as of June 2026; verify current capabilities with each platform directly.