Skip to main content
Social media

How to choose hashtags for your social posts

Use AI hashtag suggestions as a starting point, then pick relevant hashtags for Instagram, TikTok, and X without stuffing captions.

Time: 15 minutesDifficulty: Beginner

Hashtags drive discovery on Instagram, TikTok, and X — but only when they're genuinely relevant to your content and not stuffed into every caption. Webanto's AI caption assistant suggests hashtags with each caption. They are model suggestions, not live trend or volume data, so this guide shows how to review and choose them.

Prerequisites

  • • A Webanto Social Media Management subscription

Steps

  1. 1

    Describe the post in a brief

    In the composer, open the AI caption assistant and write a short brief about the post (or start from an existing draft). Keep hashtag suggestions switched on.

  2. 2

    Generate platform versions

    The assistant drafts a version for each selected platform within that platform's limits, in your organization's brand voice, with an optional tone you choose.

  3. 3

    Review the suggested hashtags

    Each version lists suggested hashtags. These come from the AI model, so check that each one is relevant to your post and your audience, and look a hashtag up on the platform before relying on it.

  4. 4

    Keep a small, relevant set

    Keep a handful of hashtags per post — branded, topic-specific, and one or two broader discovery tags. Avoid stuffing a long list into every caption; platforms can treat that as spam.

  5. 5

    Customize per platform and check results

    Edit the copy per platform, then schedule. After posts publish, review engagement metrics (refreshed every 6 hours) to see which posts performed best and adjust the hashtags you reuse.

Ready to do this for real?

Webanto Social Media Management

Related guides

Keep exploring

Related resources

Browse all guides

See every how-to guide we've published — across email, SEO, ecommerce, and social media.

Newsletter

Stay Ahead

Occasional, engineering-led notes on applied AI — what we're building, running, and learning in production.