Search results

For SEO, native translations usually perform better because they can match local search intent, keywords, and user behavior. Automated tools are useful for testing markets, but for important pages I’d prefer human-reviewed translations with proper hreflang setup.

I’ve seen similar drops after core updates. The first step is comparing lost pages and keywords to find patterns. Improving content quality, search intent match, internal linking, and fixing technical issues usually helps more than just adding more backlinks.

Blogspot can still have some value, but it depends on how you use it. Low-quality satellite blogs won’t help much anymore. If you build relevant content, proper links, and treat it like a real asset, it can still support an SEO strategy.

I agree that chasing high DR alone can be misleading. I’ve seen DR30-50 websites with real traffic and strong niche relevance perform better than expensive DR70+ placements. In the end, a link’s actual value matters more than just the DR number.

I think contextual links are getting more attention now. Relevance and the overall quality of the page matter more than just link placement.

Hey everyone, I’m curious about how you approach keyword research for new websites these days. With AI Overviews and more competition, what methods are you using to find keywords with real potential? Tools, competitor analysis, or search intent what works best for you?