Update: clawed back from ~3-4K to ~8-9K daily clicks after the May Google core update — here's what actually worked
A month ago I posted asking has anyone recovered from a core update hit like this — Chatzyo, a no-login video/voice/text chat platform, had gone from 20K daily organic clicks down to 3-4K almost overnight after the May 2026 update. A few people pushed back on jumping to conclusions too fast, which turned out to be the right call. Wanted to close the loop with what actually happened.
Quick recap for anyone who missed the first post: we'd grown to 350K monthly organic clicks over about 6 months, mostly on long-tail, language-specific chat room pages (Tamil, Telugu, Hindi, Malayalam). The update hit those pages hardest — no manual action, no obvious technical issue, just a broad re-ranking that happened to land on us.
What we actually found once we stopped panicking and started digging:
- Pulled Search Console's Performance report and compared pre/post by page and query instead of just watching the top-line number. That's what confirmed it really was concentrated on the regional/language pages, not site-wide.
- Audited our actual backlink profile using GSC's Links report (free). Turned up something we didn't expect — over half our referring pages were coming from a cluster of ~20 generic "AI tool directory" sites from a bulk-submission tool. Zero relevance to a chat platform, and it turns out that's a pattern Google's own link-scheme guidance calls out directly. We had no idea this had been happening.
- Checked indexation, not just rankings, on the affected regional pages — some of them had drifted into thin, near-duplicate territory across languages/countries, which is an easy trap when you're template-generating geo pages at scale.
What we changed:
- Stopped the mass directory submissions immediately once we traced where they came from.
- Rebuilt out the thin regional pages with real depth instead of near-duplicate templates — Brazil and Tamil are the two that came back strongest.
- Cleaned up existing profile/directory listings instead of chasing new ones (fixed a mis-categorized listing, verified a review-site profile was actually claimed).
- Started pursuing a small number of genuinely relevant editorial backlinks — dev/tech communities, WebRTC-adjacent blogs — instead of any more automated submissions.
Where we are now: back up to roughly 8,000-9,000 clicks a day. Still below the 20K peak, but a real, steady climb off the 3-4K floor, and the pages leading the recovery are exactly the ones you'd hope — homepage, Brazil, Tamil, Indonesia, Telugu, Malayalam all showing up again in the top-pages report.
Not declaring victory — one recovery trend after one update cycle doesn't mean much yet, and I'm wary of overfitting a story to a few weeks of data. But the honest version is: the fix wasn't a trick, it was unglamorous cleanup (kill the bad backlinks, fix the thin pages, stop guessing) done patiently over about a month.
If anyone else got hit by the May update and is still in the "has anyone recovered" phase — happy to compare notes on what you're seeing. And if you want to see what we're building, it's at chatzyo.in.
The AI tool directory spam links finding is more common than people realize right now. Same pattern has caught several builders I know — bulk submission services automatically list your product across 200+ low-quality directories without you asking, and since most directory operators accept anything, you end up with exactly the kind of low-relevance link cluster Google's been more aggressively devaluing since early 2026.
The partial recovery (3-4K → 8-9K out of the original 20K) matches what I've seen with content-heavy sites after trust signals take a hit. Google's re-evaluation is incremental — it doesn't restore confidence all at once. Pages with genuine engagement signals (low bounce, return visits, time on page) tend to claw back faster than pure technical fixes would predict.
One thing worth tracking over the next few months: if your regional pages had stronger on-site engagement metrics than comparable pages that dropped in the same update window, that's actually your strongest recovery argument — it signals content quality, and the link cleanup removes the only real counter-signal Google was weighing against you.
Both root causes here were self-inflicted and cheap to avoid, which is the genuinely useful part: bulk directory submissions and template-generated geo pages. As an investor, the number that would worry me more than the ranking drop is that one channel took you from 20K to 3K clicks overnight, and no SEO fix solves that. What does your second acquisition channel look like now?
That's a fair point. The drop definitely showed me how dependent we were on Google. I haven't built a strong second acquisition channel yet, so organic search is still the main one. I'm now trying to diversify through community exposure, relevant editorial backlinks, and direct/brand traffic rather than relying entirely on Google.
Congrats on clawing it back. Curious about one thing: did the traffic return on the same URLs that dropped, or did Google start ranking different pages of yours for the same queries?
Asking because after the May update the pages that recovered for me were mostly ones I had rewritten to answer one specific question per page, while the broad roundup style pages stayed down. An unexpected side effect: the rewritten pages also started showing up in AI answers (Perplexity especially) more often. Did you notice anything similar, or was your recovery purely classic blue-link traffic?
Yes, a lot of the recovery came from the same URLs that dropped. I rebuilt the affected pages around the actual search intent and added much more useful content, rather than just changing the templates. I also rebuilt some blog pages and noindexed thin ones. I haven't specifically tracked Perplexity/AI-answer visibility yet, so the recovery numbers I'm referring to are primarily Google Search Console traffic.
The most interesting part here is that the recovery didn’t come from some clever SEO hack. It came from actually breaking the problem down instead of reacting to the headline number.
The backlink discovery is especially eye-opening - automated growth tactics can look harmless when things are going well, but become pretty painful when an algorithmic update changes the equation. And the thin regional pages are a good reminder that scaling SEO pages can quietly create quality problems.
Going from 3-4K back to 8-9K daily clicks in a month is meaningful, but I like the restraint in not calling it a full recovery yet. This kind of methodical cleanup and measurement is probably a much better long-term play than chasing whatever tactic happens to work after the next update.
Exactly. There wasn't really a clever SEO hack. I ended up rebuilding the pages around better user search intent, noindexing thin blog pages, rebuilding some of the useful blog content, fixing internal cannibalization, and cleaning up some of the backlink/profile issues. I also added more author information and trust signals across the site. The biggest lesson for me was to stop guessing and actually work through the pages individually
Four changes in one month, one recovery curve - you can't tell which paid. Page rewrites re-rank on each page's own recrawl; a link-profile change only moves once that referring cluster gets recrawled and rescored, which is slower. Brazil and Tamil came back first and those are the pages you rebuilt, so the content work is probably doing more of the lifting than the directory cleanup is getting credit for.
Before treating 20K as the target - ALM Corp's February 2026 analysis put AI Overviews on 48% of tracked queries, up from about 31% a year earlier. On question-shaped long-tail some of that gap isn't coming back, clean profile or not. Impressions against clicks tells you which half you're fighting.
I think the content work was probably one of the biggest factors. I rebuilt the affected pages around better search intent and cleaned up internal cannibalization, while also noindexing thin blog pages and rebuilding some of the stronger ones. At the same time, I cleaned up the backlink profile and started adding a smaller number of quality backlinks, so I can't honestly separate the exact impact of each change yet. I'm also watching impressions versus clicks now.
The next useful step is a recovery ledger at the page-cluster level: change date, thin-content rewrite, link cleanup, indexation state, query class, and weekly clicks. Keep a small set of affected pages untouched as a control where possible. That will help separate the impact of content depth from normal post-update volatility and make the playbook reusable for the next core update.
This is a genuinely better process than what I did, which was closer to "change several things, watch the aggregate number, hope." A control set of untouched-but-comparable pages is the piece I was missing — without it I have no real baseline to know what would've happened anyway. Going to try to set something like this up before the next update instead of after.
SEO recovery posts are always more useful when they include what didn’t work too. After a core update, it’s very easy to change ten things at once and never really know what caused the recovery. Would love to hear which changes you’re most confident actually moved the needle
Honestly, I can't say that one change caused the recovery. I changed several things: rebuilt pages around search intent, noindexed thin blog pages, rebuilt some blog content, fixed internal cannibalization, cleaned up the backlink/profile situation, added some quality backlinks, and strengthened author/trust information. The recovery happened while all of that was being worked on, so I'm treating the results as a combination of improvements rather than claiming a single SEO fix.
Recovering after a core update is much more useful to read about than generic SEO advice because you can actually compare what changed before and after. Going from roughly 3–4k back to 8–9k daily clicks is a serious recovery. Which change do you think had the strongest effect versus things that just happened to correlate with the recovery?
If I had to pick the changes that seem to have had the strongest impact so far, I'd say it was a combination of cleaning up the backlink profile, removing thin pages, improving internal keyword cannibalization, strengthening author information/trust signals, and starting to build a small number of genuinely relevant, quality backlinks.
The content improvements were particularly noticeable on pages like Brazil and Tamil, while the backlink cleanup removed some low-quality signals we had accumulated. The internal cannibalization work also helped clarify which pages should target which search intents.
The newer quality backlinks may also be contributing, but because several changes happened during the same period, I don't want to claim that any single change caused the recovery. I'm still tracking the results page by page to understand what is actually making the difference.
The recovery being concentrated on specific pages makes the before-and-after especially interesting. Curious which change had the clearest effect once you compared the affected pages individually.
Yes, that's one of the things that made the recovery interesting. It wasn't just the whole site suddenly bouncing back. The pages that we substantially rebuilt were among the clearest recoveries. That's why I'm now looking at the data at the individual page/cluster level rather than just watching total daily clicks.
That page-level view sounds much more revealing than the sitewide number. I’d be interested to hear what patterns emerge once you’ve compared enough of those clusters.