Just read about websites getting removed from Google Search because of fake DMCA claims.
Has this happened to anyone here? How did you notice it, and how long did it take to get the page back?
Curious how common this actually is.
I have a theoretical understanding of how discovery for MCP services and AI agents should work, but I'm much more interested in real-world experience.
Has anyone here actually worked on SEO/discoverability for AI agents?
What ended up mattering most? Metadata, structured outputs, citations, schemas, directories... or something completely different?
Would love to hear what's working in practice.
I’ve started replacing stock images with simple comparison charts and diagrams.
It feels like AI search engines are much more likely to reference visuals that actually explain something, instead of generic images.
Has anyone else noticed this?
Lately it feels like original screenshots, diagrams, and infographics are outperforming stock images.
Maybe AI is finally paying more attention to what’s actually inside the image, not just the alt text.
Anyone else seeing this?
I’ve been digging into SEO a lot lately, and one thing keeps standing out.
It feels like Google cares less about exact keywords now and much more about whether it actually understands what your site is about.
Instead of chasing keyword variations, I’ve started focusing on connecting topics, products, people, and concepts in a way that makes sense.
Curious if anyone else has noticed the same shift, or if I’m overthinking it (???).
Trends now move faster than search can index. By the time web content gets discovered and ranked, recommendation feeds have already shifted to the next topic.
It feels like we're living in two different worlds: search and feeds. That creates a real marketing sync problem.
Are you seeing the same thing? How are you adapting your SEO/content strategy to this new reality?
Are you expreincing growth of the LLM (Chat GPT, Mistral, Claude) traffic?
Is the LLM becomes a new organic search engine?