Dig vs Heepsy: Which Is Better? (2026 Comparison)

Content Discovery and Brand Detection

When it comes to identifying where your brand appears online, Dig and Heepsy operate on opposite ends of the spectrum. Dig is a powerhouse in Brand Mention Detection (5/5), utilizing a proprietary LLM stack to identify brand logos, mentions in audio, and even complex narrative themes across TikTok and Reels. It excels at finding Untagged Content (4/5) because its AI actually 'watches' the video rather than just scanning captions. In contrast, Heepsy is primarily a search engine. While it offers powerful filters for discovery, its brand detection is much weaker (2/5), as it relies heavily on metadata and public profile information. For teams comparing these capabilities, our Archive vs Dig breakdown highlights how specialized video AI differs from traditional social listening.

Video Tracking and Creator Analytics

Dig's architecture is built specifically for Short-Form Video Tracking (5/5). It provides deep intelligence on how narratives spread across platforms, offering 93% accuracy with full source traceability. However, Dig is less of a 'management' tool and more of an 'intelligence' tool; its Creator Analytics (3/5) are focused on reputation and impact rather than recruitment. Heepsy, conversely, is built for recruitment. With a database of over 11 million influencers, it offers solid Creator Analytics (4/5), including engagement rates and authenticity scores to detect fake followers. However, Heepsy’s video tracking (3/5) is more basic, focusing on performance metrics rather than the deep AI content analysis found in Dig. Agencies often weigh these differences when looking at Archive vs Heepsy for client campaigns.

Intelligence, AI, and Automation

Dig is a 'next-gen' tool in the sense that it is LLM-native. Its AI Content Tagging (5/5) and Competitor Intelligence (4/5) are designed to surface emerging trends and disinformation threats, making it a favorite for brand safety teams. Heepsy offers AI Content Tagging (3/5) mostly for categorization, but it lacks the deep narrative clustering that Dig provides. On the other hand, Heepsy is far more accessible for day-to-day operations, offering a user-friendly interface that scores a 5/5 for Ease of Use, compared to Dig’s more complex, enterprise-only setup (2/5). If you are looking for a more automated workflow, you might also consider how Collabstr vs Dig compares in terms of self-serve functionality.

Platform Support and Integration

Both platforms support the 'big three'—TikTok, Instagram, and YouTube. However, Heepsy adds support for Twitch, making it more versatile for gaming and live-stream marketing. Dig's strength lies in its 90%+ coverage of the video landscape and its ability to handle high-volume enterprise data, though it notoriously lacks a public API (1/5) and documented integrations. Heepsy offers better connectivity for eCommerce brands, specifically through its Shopify integration for sales tracking. For those who need a tool that bridges the gap between deep AI and operational ease, reviewing ShortsIntel vs Heepsy or Brandwatch vs Dig can provide more context on the current market standards for 2026.