Founder of RiteKit- the productivity tool for hashtags from topics, not known tags. Scheduled posts with tag optimization, curation, aggregation, and competitor analysis.
The RiteKit API dashboard now lets you test queries so, you’d want to start with Hashtag Suggestions to find hashtag suggestions for words.
For auto-hashtagging entire social media posts, Tweets, updates with proprietary NLP, you need to see RiteKit and specifically, the Auto-Hashtag API endpoint.
The RiteKit REST API just greatly relaxed limits for these and several other endpoints. See https://ritekit.com/api-demo/aut... and start with Tier 0 (free). After that, the paid tiers crush the market on calls/month/price. Test it for relevance right in the API Demo page and note that unlike any other hashtag recommendation API, RiteKit:
Begins by identifying operative topic words in a post, and then, tests individual words and even word groups (pushes 2–3 words together to make one hashtag, so, rather than hashtagging #marketing and #automation, we may find that currently, not just for exact relevancy, but also based on how the hashtags are doing for engagement over the last thirty days, in A Beginner’s Guide to Marketing Automation, we may give you A Beginner’s #Guide to #MarketingAutomation
In the example above, note that relevancy is the beginning. The RiteKit Auto-Hashtag API endpoint rules out hashtags that are under-performing. The aim is to hashtag with a purpose: it’s to save the user research time so, it’s relevancy filtered by engagement potential. If RiteKit Auto-Hashtag cannot provide two text-internal relevant and reaching hashtags, the one to two hashtags it didn’t provide are added to the end of the post/Tweet/update.
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