Hashtags, Keywords, and How AI-Driven Discovery Actually Works Now

Hashtags used to be a relatively simple discovery mechanism — tag a post, and it showed up in that hashtag's feed. That system still technically exists on most platforms, but it's no longer the primary way AI-driven discovery actually works, and treating it that way leads to wasted effort.

Discovery Has Shifted from Tags to Understanding

Modern platform AI increasingly analyzes the actual content of a post — the video, image, captions, even spoken audio in a video — to understand what it's about, rather than relying primarily on manually applied tags. This means a well-described, clearly-topic post can get discovered even with minimal or no hashtags, while a heavily tagged but vague post may still underperform.

What Still Matters

Specific, relevant keywords in captions and titles. Since platforms increasingly analyze text content directly, using clear, specific language about what your content actually covers helps AI systems categorize and surface it correctly — this matters more than the hashtags themselves on most platforms now.

A small number of highly relevant hashtags over a large number of generic ones. Broad, high-competition hashtags (#love, #instagood) provide little discovery value since they're saturated with unrelated content. A few specific, niche-relevant tags tend to outperform a long list of generic ones.

Spoken and on-screen text in video. For video content specifically, many platforms now analyze spoken audio and on-screen text to understand topic and context — meaning what you actually say in a video can influence discoverability independent of the caption.

Consistency of topic across an account. Accounts that post consistently within a clear topic or niche tend to build stronger topical authority in the eyes of discovery algorithms, making individual posts more likely to surface to relevant audiences.

A Practical Shift in Approach

Rather than treating hashtags as the primary discovery lever, it's more effective to:

1. Write clear, specific captions and titles that genuinely describe the content, as if writing for a person, not an algorithm
2. Use a small number of specific, relevant hashtags rather than maximizing quantity
3. Say your key topics or terms out loud in video content where natural, since spoken content is increasingly analyzed
4. Stay consistent within a topic area over time, rather than posting broadly across unrelated subjects

The Underlying Principle

AI-driven discovery has moved toward genuinely understanding content rather than relying on manual tagging systems that are easy to game. The most reliable way to be discovered is, somewhat ironically, the same advice that's always applied to good SEO: be genuinely clear and specific about what your content is about, and let the system do the categorizing.

For brands rethinking how to structure content for discoverability across platforms, Designogram works on exactly this kind of content and discovery strategy.