CrawlRaven

SEO Hub for GSC + GA4 + a 200-point crawl

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gsc + ga4 + crawl in one place is so usefull 🙌 does the cannibalization check run daily?

The move from 'here's your data' to 'here's the prioritized plan' is the right one — merging GSC + GA4 + a backlink import is exactly the manual stitching most of us do by hand every week. Two questions from someone who lives in this stack: (1) content-decay detection leans on GSC, which lags a few days and drops/​anonymizes low-impression long-tail queries — how do you keep those reporting gaps from surfacing as false decay signals? (2) for cannibalization, are you clustering on actual SERP/URL overlap or on keyword-string similarity? The intent-vs-string distinction is where most tools get it wrong.

Just finished wiring up GA4 + Search Console for my own product this week,

and the part that took longest wasn't the setup — it was figuring out what to

actually do with the data once it was flowing. Submitted a sitemap, saw

"couldn't fetch," and had no idea whether that was a real problem or just

Google being slow.

The "what to write, what to update, what to fix first" framing is the part

I'd pay for. Does the ranked plan work for a site with almost no traffic yet,

or does it need existing GSC data to be useful?

@rakesh_rry @aditi_chaturvedi Connecting Ahrefs/Semrush with GSC and GA4 in one hub makes SEO auditing so much faster.

the impact-ranking questions are all covered well, but I'm more curious about the white-label report narratives since that's the part agencies will forward straight to non-technical clients without necessarily editing the wording. a plain-English "why" for a ranking drop or a prioritized fix is easy to state confidently even when the real cause is multiple overlapping factors. is there anything that keeps the generated narrative hedged when the underlying data doesn't clearly support a single-cause story, or is that something the agency has to catch themselves before sending it out?

Congrats on the launch @aditi_chaturvedi ! One question: how do you prioritize recommendations when multiple issues overlap? For example, if a page has technical SEO problems, content decay, and keyword cannibalization at the same time, how does CrawlRaven decide what should be fixed first?

Pulling GSC and GA4 into one place is the part I always end up duct-taping together myself. Does the 200-point crawl check anything for AI search / GEO yet or is it still classic SEO? That's where I keep hitting walls lately.

The "what to do next" framing is the right one. GSC will tell you a page is "Discovered, currently not crawled" and then leave you guessing whether that's a technical problem or a site-quality problem. Does the ranked plan distinguish between genuinely technical fixes and pages that just need stronger internal links or better content? That distinction is where I've burned the most hours on my own site.

200-point technical audit is a specific number worth unpacking. Is that 200 distinct checks across categories like indexability, Core Web Vitals, structured data, internal linking, and so on, or is it more like a marketing number that counts variations of similar checks? Screaming Frog and Sitebulb also run extensive technical audits, curious what CrawlRaven's crawl catches that those tools typically miss or under-weight.

Congrats on the launch. Collapsing GSC, GA4, and a full crawl into one prioritized list is the time-saver here, three separate dashboards never gave anyone a single priority order. Before I'd hook this to a client's Search Console: does the OAuth grant ask for read-only access, or does it need edit/verify scope too, and if a workspace disconnects later, does that revoke the grant on your end or just stop the sync?

the 200-point crawl plus GSC/GA4 in one place is the pitch that matters - when a fix from the ranked plan goes live, does the tool re-check and clear that item itself or do you have to manually mark it done and hope it doesn't resurface next crawl?

Congrats on the launch team.
This is super promising.
Someone who has been diving into SEO this is going to be super useful

Congrats on the launch! Using real GSC impressions and position gaps to surface quick wins is super smart. How far down in rankings (e.g., positions 11–20 vs. 20+) does the algorithm look to identify those high-potential pages?

Congrats on the launch! Merging GSC, GA4, and crawler data under one roof to actually rank priorities is a huge time-saver. On the action items part - how does the model balance quick wins (like "low hanging fruit" keywords) Vs heavier technical fixes when picking the top action items?

the ranked what-to-fix-first output is the actual value here. every seo tool hands you 200 issues and lets you drown in them, the hard part was never finding problems, it was knowing which three actually move rankings this month. good angle joining gsc and the crawl to decide that instead of just showing it

Congrats on the launch! For agencies managing multiple client sites, can one account switch between different GSC properties, or does each site need its own separate account?

Raakesh, the ranking by impressions and closeness to page 1 is the part that caught me, because it also shows where a model like this can struggle.

I run SEO for a niche B2B product in healthcare. My highest-intent terms show zero or missing volume in every tool and barely register in Search Console, since only a few hundred people a month search them at all, yet those are the ones that convert. A prioritizer built on demand would push them straight to the bottom.

Can I weight a keyword up by hand, or mark a low-volume term as high-value, so the ranked plan does not bury the long tail a small market lives on?

super launch of the day! very proud of you guys.. all the best! @ayushtweetshere @rakesh_rry @aditi_chaturvedi