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I checked that guide too. Yeah it’s shown with WordPress, but I don’t think it’s limited to WP. The whole GEO thing is more about workflow + AI content than the CMS itself.

Yeah, I had the same issue before. For German stuff, spun English doesn’t really work on .de sites — even simple German content on Tier 1 performs way better. Also, if you’re running public lists on Tier 2, most of those links die off fast. Once I switched to cleaner lists and proper content, I...

One thing I noticed while playing around with GEO is that a lot of people treat AI content like it’s the whole package. They generate an article, hit publish, and expect it to rank. From my experience, that doesn’t really work unless the on-page SEO is dialed in. *I tested this on two different...

Thanks for sharing your workflow — always interesting to see how others are running SER at scale. I can totally see the upside of sticking with reliable list providers. Saves a ton of time versus scraping/cleaning everything yourself. For me, I still prefer to run some filtering through...

It really depends on the provider, but for the VPS I’m using (Windows, 8GB RAM, 4 cores), the cost is around $35–$45/month. Some providers do charge higher for basically the same specs, so it’s worth testing a couple and checking stability before committing long term. For me, as long as it runs...

I do indexing for all tiers, but Tier 1 links always go through a stronger service — I can’t risk losing those. Tier 2/3 I send in bulk and accept a lower index rate since they’re mostly buffer juice. For VPS, I tried a few providers before. Currently using a Windows VPS (8GB RAM, 4 cores)...

For Tier 1, I kept it pretty lean — around 15–30 contextual links per keyword over the 60 days. I focused more on quality and relevance rather than blasting hundreds, since Tier 1 is where the footprint shows the most. Then I built Tier 2 and Tier 3 in larger volumes to push juice and indexing.

Appreciate it! Yeah, GSA SER can definitely move the needle fast when set up right — the real challenge is keeping those rankings stable over time. That’s what I’m testing next, will share updates soon.

I’ve been tracking the rankings. A few more keywords moved into the Top 10 since my last update, but progress slowed down compared to the first 60 days. Some terms are bouncing between #8–#15, so I’m testing a different indexer and tweaking anchor ratios a bit. I’ll post a more detailed...

I see your point. SER does handle a lot of that automatically once you throw the raw list in. The main reason I pre-filter is just to keep the projects lighter — when I dumped huge messy lists before, my LPM dropped and SER got sluggish. You’re right though, filtering after verification is more...

I switched from the basic indexer I was using in the first few weeks to IndexingExpert around week 5. The difference was noticeable – the index rate went from ~40–50% to closer to 70% within 7–10 days. It’s not perfect, but definitely stronger than what I started with.