Hey folks, check out Dani's interview on WebProNews regarding the Google Panda update. Spread the word, here's the link to the video:

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Thanks to for sharing the clip and for the quick thumbs-up. The interview is a useful prompt — below are pragmatic, evergreen steps to turn an algorithm-driven ranking drop into a focused recovery project.

Start with data. Pull a landing-page export from Google Search Console + your analytics account and compare a pre-drop baseline to the period after the change. Flag pages that lost impressions or organic sessions but remain indexed. Prioritize by (a) historical organic value, (b) conversion importance, and (c) ease of fix.

Triage and action. For each flagged URL decide: improve, consolidate, or remove. Improve by rewriting to satisfy clear user intent, adding unique data/examples, author context, and internal links to stronger pages. Consolidate by merging thin/near-duplicate pages and 301-redirecting the extras to a single authoritative page. Remove or noindex pages that provide no unique value (archive/tag pages, thin faceted pages) so they stop diluting site quality signals.

Technical and UX checks. Ensure canonical tags are correct, remove soft 404s, fix crawl errors, prioritize mobile usability and page speed, and verify ad-to-content ratio isn’t overwhelming the primary content. Use structured data where it genuinely clarifies content but don’t rely on it to mask poor substance.

Measure and iterate. Roll changes in batches, record the date and exact edits, and watch Search Console for impressions/CTR and analytics for organic sessions and engagement. Expect recovery to be measured in weeks to months, not days. If improvement stalls after a clear, documented quality effort, a deeper content-audit (sampling by topic clusters) or an external site review is the next sensible step.

Very good video!

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