KWHero

I decided to try KWhero when Koray Tugberk mentioned it.

The outlines are among the best I’ve seen, especially with the “answer type” per heading.

The topical coverage with NLP organization per subtopic is brilliant, and I’m a HUGE fan of not having to stuff terms in for higher density as that doesn’t really work and is more detrimental. KWhero’s approach with relationships between terms is much smarter and better than the “mention x a total of y times” approach to onpage optimization.

I’ve also never seen domain metrics broken down per topic like this, this has huge implications for link building or just competitor research, and it’s something I will soon be implementing in client reports.

On the negative side, the agent stuff seems more gimmicky rather than having actual use cases, it has potential but I’m not sure advanced users want to let “AI” handle their daily work in this way, but maybe that’s just me.

And the keyword research could be better, but the clustering and especially the topical clustering feature is very good.

I hope the team keeps focus more on semantics and topicality moving forward, as I can see it being one of the top contenders in that space.

The topical coverage, semantic features, and topicality metrics are all class, and the content comes out decent (but still needs some editing).

I think version 2.0 has good potential and looking forward to see what else the team comes up with, I’m definitely looking forward to the “coming soon” Brand Visibility and LLM features.