Siftree Listen vs Dig: social video and narrative intelligence

Dig and Siftree both analyze social narratives

Dig's product page describes video and image analysis, natural-language research, and insights linked to source posts. These overlap with Siftree Listen, which groups posts, comments, and transcripts into narratives and routes changes with evidence. Traceability and multimedia analysis are not exclusive Siftree capabilities.

Our assessment is that Dig deserves evaluation for visual social research, campaign analysis, and benchmarking. Siftree's evaluation should center on a defined recurring narrative report and comms handoff. Fit depends on the precise output and availability.

Check the application you are buying

Dig's app catalog separates campaign analysis, dashboards, benchmarking, creator discovery, narrative intelligence, and crisis management. At review, Narrative Intelligence and Crisis Management are labeled coming soon; other extracted entries include mixed availability text. Request a demonstration in the proposed tenant. A roadmap app is not a verified deployed workflow, but its label does not prove no related capability exists elsewhere.

Published vendor accuracy and coverage percentages are not independent results from this comparison. Review the underlying evaluation population before using such figures in a purchase case.

Proposed evaluation: conflicting signals within one clip

Supply aliases, required languages and formats, collection window, and narrative definitions. Include the comms destination and approval rules. Keep a known-reference list so a convincing answer cannot conceal missed material.

Use actual examples with a spoken negative claim over a positive visual, another brand in the caption, a visible product without speech, a reaction quoting someone else's claim, and comments disagreeing with the creator. This is a proposed procedure; no illustrative dataset or benchmark was manufactured.

Require the relevant passage or visual context for every classification. Check wrong-brand matches, missed speech, contradictory comments, and duplicate clips separately. Agree whether narrative share counts posts, creators, or mentions. Follow a spike brief to source posts and distinguish what spread from what the system inferred.

Set tolerances for missed reference items, unsupported labels, detection delay, and reviewer minutes beforehand. Repeat after changing a definition and inspect comparability across periods. Assign an owner for taxonomy changes and missing sources in either workflow.

Shortlist and commercial scope

Prioritize Dig when its available research apps and visual analysis fit the study. Evaluate Siftree when the deliverable is an operated narrative-to-comms process. Ask both for network and format coverage, backfill, retention, cadence, exports, users, and destination actions. Obtain Dig's proposal and Siftree private-beta terms; no comparable price or rollout-speed result is established. Keep required but unconfirmed applications visible in acceptance criteria.