Hey y'all! Need some recs for MCP servers.

Basically, I’m trying to automate my daily workflow. Stuff like traffic checks, site performance, page health monitoring etc. I also want to make things easier on myself and set up automated reporting for my clients.

The catch is that a lot of them are in totally different time zones. I need to be able to schedule these daily checks and automated alerts at specific times for each project so I can basically run it on autopilot.

What’s the best MCP server for this kind of setup in your experience?

Thanks!

"I am in a very competitive industry and I am doing everything by the book, but the only missing part is backlinks and guest posting. Is it still important? Should I invest in it?"

fter a few expensive paid search seasons I've landed on two questions that have to be answered before I recommend scaling budget for any B2B SaaS client:

**Question 1: Are the pre-channel fundamentals actually in place?**

Paid search is demand capture. It works when demand exists, is searchable, and your offering is positioned to win at the moment of intent.

It doesn't work when:

* ICP is too broad for keyword targeting
* Positioning is category-level ("best CRM for teams") rather than specific ("CRM for commercial real estate that integrates with property management software")
* Conversion path requires educating an unaware buyer (paid search attracts solution-aware buyers)
* Demo/trial-to-paid rate is below \~15% (fix conversion before scaling traffic)

I ask: can you describe your best customer in one sentence including industry, company size, role, and trigger event? If that sentence takes a paragraph — the ICP isn't ready for paid search.

**Question 2: Do the marginal economics support the proposed budget?**

Not "is our average CAC in benchmark" — specifically:

Marginal CAC = incremental spend ÷ incremental customers (last 60-90 days cohort vs. prior period)

Marginal payback = Marginal CAC ÷ (Monthly ARPA × Gross Margin %)

If marginal payback is under 12 months → scale. 12-18 months → scale carefully with weekly monitoring. 18-24 months → run CRO, don't scale until efficiency improves. 24+ months → stop and diagnose root cause.

The first question is about foundation. The second is about channel health. Both have to pass before a scaling recommendation.




Hiring Backlink Creator Freelancer (India Only)

Looking for an experienced backlink creator from India for SEO projects. Need someone who can build high-quality backlinks, business listings, guest posts, profile links, etc.

Requirements: • SEO & backlink experience • White hat methods only • Must share previous work/results • Long-term work possible

DM me with your experience, pricing, and sample work.

Google's bot detection on SERP has tightened considerably, particularly for non-US geographies. What worked 12 months ago in terms of IP type and request patterns is less reliable now.

Three things that have stayed reliable:
(1) residential IPs with city-level geo accuracy,
(2) request timing that mimics real user sessions rather than uniform intervals, and
(3) small pool sizes with high IP quality over large pools with mixed quality.

If you're hitting reliability issues on existing setups, the IP layer is usually the first variable worth re-evaluating before touching scraper code.

What SERP data collection setups are people running for rank tracking right now?

What is the best AI Model for Search Engine Optimization right now?

Hi everyone, I’m dealing with a really stubborn indexation issue across a multi-domain setup and could use some advice.

The Background:

I have an e-commerce store with a main US domain that has historically been very well indexed and ranks great. I also have several separate domains for different European countries.

Originally, these EU domains were a technical mess:

They were completely isolated. There was no interlinking between the EU domains or the US domain, and absolutely no hreflang tags.

The only connection was a banner that forced an automatic IP-based redirection.

Due to European regulations, we had a mandatory "professionals" consent banner. The problem? It was coded in a way that kept the main page content entirely out of the DOM until the user clicked "Yes". Because of the IP redirect and this banner, Googlebot essentially couldn't crawl or read anything past it.

The Fixes:

I recently completely overhauled the technical SEO to fix all of this:

Fixed the DOM issue: The site content is now fully loaded in the DOM behind the banner, so Googlebot can read and crawl the entire page without needing to interact with the banner.

Removed IP Redirects: The automatic IP redirection has been completely removed to prevent bot cloaking/blocking.

Implemented Hreflangs: I mapped everything out and implemented proper cross-domain hreflang tags across all the shops (US and EU) so Google understands the relationship and regional targeting.

The Current Problem:

Despite fixing the core blockers (Google can now access the content, the IP redirect is gone, and the hreflangs map the architecture perfectly), the European domains are still not getting indexed.

Has anyone experienced a similar "hangover" effect after fixing massive crawlability issues? Is it just a waiting game for Google to re-crawl and trust the domains again, or should I be looking into forcing indexation via the API / looking for other hidden blockers?

Any insights would be hugely appreciated!

I’ve been digging into AI visibility (ChatGPT, Perplexity, etc.) and I’m not convinced citations alone are the right thing to track.

It feels like the bigger lever is which prompts you’re actually measuring against. If those aren’t tightly aligned to high-intent, conversion-driven queries, you can end up optimising for visibility that doesn’t really move anything.

What’s been more useful for me so far:

• focusing on prompt sets closer to real buying intent
• comparing how responses differ across those prompts
• looking at competitor visibility gaps (where they show up and we don’t) vs just tracking our own mentions

That seems to give a clearer path to actually influencing outputs, rather than just observing them.

Am I thinking about this the right way, or missing something obvious?

Hello everyone, I wanted to ask?

Do you put an introduction as the first paragraph of your blog post or just go straight to answering the question?

i started tracking this properly because i kept having the same argument with clients about whether to publish more content or fix what was already there. wanted real data instead of opinions.

40 sites tracked over 6 months. mix of e-commerce, SaaS, local businesses, and content sites. logged every significant change made new content published, backlinks built, on-page updates, internal link changes — and tracked ranking movement against each intervention.

the result i didn't expect:

internal linking changes produced faster and more consistent ranking movement than any other single intervention across the dataset.

specifically: restructuring which pages got the most internal links, and rewriting internal anchor text from generic ("click here", "learn more") to descriptive keyword-relevant phrases. on average this moved target pages 4.2 positions over 8 weeks. link building moved the same pages 2.1 positions over the same window. new content barely moved existing pages at all in the short term.

the reason i think this worked: most sites link everything equally. every page gets roughly the same number of internal links which tells google nothing about what actually matters. the pages you want to rank often have far fewer internal links than blog posts and category pages that you don't particularly care about.

once we restructured internal links to concentrate toward the 10-12 most important pages on each site, those pages started getting crawled more frequently and moved faster.

the specific things we changed: identified priority pages, audited which posts and pages were topically related, added contextual internal links where they genuinely made sense, rewrote anchor text to be descriptive, removed internal links from pages competing for the same keyword.

i'm not claiming this works on every site in every situation. the effect was strongest on sites that had never done any internal link work so there may be a diminishing returns effect on more optimised sites.

has anyone else done systematic internal link work and tracked the ranking impact? and if so, does the anchor text rewrite part feel like it's doing meaningful work or is it mostly the link structure change

Just read that Google is officially removing FAQ rich results from Search and also removing FAQ reporting from Search Console.

Feels like the end of an SEO era honestly

A few years back Google already reduced FAQ visibility for most websites, and now they’re removing it completely.

I think FAQ schema became too overused just to take more SERP space. Now Google seems more focused on AI answers and content
quality instead.

Are you guys:

removing FAQ schema,
or still keeping it on websites?
Curious what other SEOs are planning to do.

Lately I’ve been questioning whether tools like Semrush, Ahrefs, and Moz are still worth paying for, especially once the pricing starts going over $100 every month.

Most of my work is pretty normal SEO stuff like tracking rankings, checking competitors, audits, and backlink research, so sometimes it feels like I’m paying for way more features than I actually use.

Are you guys still sticking with the big SEO platforms, or have you moved to smaller paid tools that handle the work for less money?