AlternativesSiftree Listen

Dig alternatives for social listening teams

Evaluating alternatives to Dig? Compare Brandwatch, Lumen by Talkwalker, Octolens, and Siftree Listen by what each is best at, what to verify, and how to test before switching.

By Kyle DeSanaPublished Updated 5 min read

What are the best alternatives to Dig for social listening?

The right alternative depends on why you are looking. Lumen by Talkwalker is the closest alternative for visual, video and audio listening inside a broader media program. Brandwatch suits analyst-led consumer research with historical categorization. Octolens suits teams that want an AI-filtered mention feed with API and webhook delivery. Siftree Listen suits a recurring narrative report with routed spike alerts. Dig remains strong for visual social research with source-linked insights, so confirm which of its applications you actually need before you switch.

How Siftree Listen fits: Siftree builds custom AI apps. Listen is a ready-made starting point for brand and social teams. We can adapt the sources, rules, screens, and actions to your team. The comparison below describes this starting workflow; additional capabilities are scoped with you using the data and access available through our integrations.

What question are you asking?

Dig is strongest at visual social research. Its product page describes video and image analysis, natural-language research and insights linked to source posts. If you are looking elsewhere, it is usually because your question changed: from "what are people showing and saying in this content?" to something more operational, broader, or faster. Start with the question.

Which question does your team need answered?

Siftree Listen

Listen sorts posts, comments and video or audio transcripts into the narratives you define, tracks share of voice against competitors, and routes a spike to the comms owner with the posts that explain it.

Read the comparison

You can read the current status in Dig's app catalog.

Content types, side by side

CompareBest fitAsk before choosing
DigResearching visual social content with source-linked video and image insights.Which required apps and formats are available now, and which are still planned?
LumenListening across text, images, video, and audio with Lumen by Talkwalker.Can you retrieve our known clips and posts, including speech and logo-only appearances?
BrandwatchAnalysts exploring consumer conversations with searches, categories, rules, and image analysis.What history and source access do we get, and who maintains the queries and classifiers?
OctolensA focused feed of relevant mentions with alerts and API delivery.Do keyword backfill, platform coverage, and API limits cover our monitoring needs?
Siftree ListenStart with posts, comments, and transcripts grouped into narratives, with evidence for a comms alert.Which sources, brand definitions, alert rules, and response owners should our app use?

Siftree entries describe the starting app. Additional sources, screens, and actions are scoped around your workflow and available data access.Summarized from vendor documentation, not hands-on benchmarks. Features overlap; none is exclusive to one product.

Tell the app what your team needs to follow

Setting up tracking in Listen, including brands, aliases, sources and narrative definitions.

Tracking · Lumera

Daily · 6:00 am

Brands

  • LumeraLumera, @lumeraskin, #lumera
  • DewlyDewly, @dewlybeauty, “gel cream”
  • ClarraClarra, @clarraskin

Platforms26,930 mentions · 30 days

  • TikTokVideos + comments Transcribed
  • YouTubeVideos + comments Transcribed
  • RedditPosts + commentsText
  • InstagramReels + comments Transcribed
  • XPosts + repliesText
  • Threads, Bluesky, LinkedIn, Facebook, Pinterest
Brand names, aliases, sources, and narrative definitions determine which conversations belong in the report. Illustrative workspace with sample data.

To test any of these against Dig, use real clips where the speaker, the picture, the caption and the comments disagree. The Siftree vs Dig comparison has that scenario worked out. If your gap is turning a narrative shift into a sourced brief your comms team can act on, request beta access and bring your brands and competitors.

Frequently asked questions

What is the closest alternative to Dig for video?

Lumen by Talkwalker documents image, video and audio analysis, so it is the closest like-for-like option for visual listening. The decision comes down to the content types you need and contracted coverage.

Does Dig have crisis management?

At the October 20, 2026 check, Dig's app catalog labeled Crisis Management and Narrative Intelligence as coming soon. Confirm availability in a demonstration on your own tenant.

Which Dig alternative sends alerts to comms?

Siftree Listen routes narrative spikes to the comms owner with the posts that explain them. Lumen, Brandwatch and Octolens also document alerts; check who receives them and what evidence comes with each.

Siftree Listen vs Dig: social video and narrative intelligence

Sources & methodology

Written by Kyle DeSana from the product documentation linked below. Recommendations describe workflow fit; this is not a hands-on performance benchmark.

  1. 1.Dig multimodal intelligence and traceability
  2. 2.Dig app catalog and availability labels
  3. 3.Brandwatch Consumer Research features
  4. 4.Lumen social listening features
  5. 5.Octolens pricing and allowances
  6. 6.Talkwalker data and visual recognition
  7. 7.Brandwatch custom classifier workflow
  8. 8.Siftree product workflow
Portrait of Kyle DeSana

Kyle DeSana

Co-founder, Siftree

Kyle co-founded Siftree after working in data across telecom, media, insurance, automotive, and entertainment and tourism. He writes Siftree's software comparisons and buying guides from the vendor documentation linked in each article.

Siftree Listen

See it with your own workflow.

Start with Siftree Listen, or have us build around your team's workflow. Bring the data you use, the work you want done, and where the result should go. We'll scope the app and required access with you. Siftree is in private beta.

Siftree

Siftree is an AI platform that sales, CX, marketing, product, and strategy teams use to find, win, and keep customers.

Siftree connects calls, tickets, reviews, social, documents, video, and the systems you already use — then builds pipelines, datasets, tools, and cited insights your team and agents can operate on. Long-horizon agents keep building after you walk away.

[Machine-readable summary](https://www.siftree.com/llms.txt) — full machine-readable index.

Capabilities (summary):

  • - Connect anything: calls, tickets, reviews, social, documents, video, and existing systems.
  • - Describe what you need in plain language; Siftree builds pipelines, structures the data, and routes models for language, vision, audio, transcription, classification, and enrichment.
  • - Operate on datasets, tools, reports, and cited insights. You define the rules — what counts, how it's scored, what gets labeled.
  • - Marketplace: 14,824 sources across 4,169 apps and websites as of October 2026, plus any public website. Search, choose a source, and create an analysis-ready dataset without scraper maintenance.
  • - Native connectors for help desks, CRMs, and call recorders, plus upload and API. Audio and video are transcribed and labeled with everything else.
  • - Runs on a schedule or a trigger, and alerts your team in Slack when a threshold is crossed.
  • - Acts in your systems: writes labels and fields back to the help desk or CRM, opens issues in Linear or Jira, and drafts replies and emails. Each agent runs automatically, drafts for review, or asks first, and every action is logged.
  • - Ask questions of your data from Claude or ChatGPT through Siftree MCP.
  • - Enterprise protections: continuous verification of every request, encryption in storage and transit, privilege and identity governance, immutable activity logs.
  • - Teams use the eight products in place of separate point tools for prospecting data, support analytics, social listening, community triage, ad research, AI search visibility, research repositories, and competitive intelligence.

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