u/Futtman

Most SEO tools are still great at answering one question:

“Where do we rank on Google?”

Useful, but incomplete.

Now, buyers are also asking ChatGPT, Perplexity, Gemini and AI Overviews to compare different options, recommend reliable tools and suggest worthwhile brands.

That creates a weird new problem: your SEO dashboard can look healthy while AI search barely knows you exist.

The real question is no longer just “Are we ranking?”

It’s also:

• Are we being mentioned in AI answers?
• Are we cited as a source?
• Do LLMs understand what category we belong to?
• Are Reddit/community signals helping or hurting us?
• Is our content structured clearly enough to be extracted?

In our new blog article, we provide a breakdown of the tools that matter for achieving AI visibility, including AI visibility trackers, semantic content tools, Reddit intelligence and schema/entity tools, and explain how they fit together.

Hope you enjoy reading this!

SEO tools are great at telling you where you rank on Google.

The problem is that buyers are increasingly skipping Google and asking ChatGPT what to buy, who to trust, and which brands matter.

That creates a weird new challenge: your site can rank well and still be invisible where people are actually getting answers.

Our new article breaks down the tools and tactics marketers are using to track AI citations, improve entity authority, and optimize for generative search instead of just blue links.

Worth a read if organic growth is part of your strategy!

SEO is no longer just about ranking blue links. As LLMs become discovery channels, content must be structured in a way that allows machines to extract and cite it without compromising the user experience. This article breaks down a practical framework: answer-first sections, semantic blocks, schema, original data, and entity consistency. Worth reading if you’re rethinking content for the zero-click era.

For years, the content playbook was largely based on Google rankings and click-earning. However, AI search is changing the game. Users can now ask detailed questions and receive summarized answers without ever visiting your blog.

This means that visibility is no longer just about rankings. It's also about whether AI systems can understand, trust, and use your content as part of an answer.

In our latest article, we discuss why content structure is becoming much more important for SEO. Blogs need to answer real questions more quickly and make key ideas easier for AI tools to extract. We also explain why brand mentions outside your website may matter more, as AI systems cross-check information from multiple sources.

The way we measure things is changing too. Traffic still matters, but it may no longer show the full picture. If more searches end with AI-generated answers, mentions and citations could play a much larger role in SEO visibility.

The main idea is simple: SEO is moving from creating pages that only rank to creating content that AI can confidently use as part of the answer.

You can find more information on Snoika's blog. Hope you enjoy reading it!

How do we look together?

but if I see that on my way home after a night out at pub with friends - I'll probably need a new pair of pants

We track exactly how AI engines see your business and how to improve it.

Comment below or DM „REPORT” to see your results! 💜

Traditional SEO tools can tell you where you rank, but they often miss whether AI engines actually see, understand, and cite your content. This guide breaks down how marketers can audit AI crawler access, citation frequency, schema, entity coverage, and “dark traffic” from tools like ChatGPT, Gemini, and Perplexity. Worth reading if AI search is starting to affect your organic strategy (spoiler: it is).