Will Search Console finally tell us exactly what to fix?

Why is Google looking to change the way information is displayed in Search Console?

Currently, Search Console displays raw metrics: impressions, clicks, average position, technical error reports. The problem? These data describe symptoms without ever pointing to a diagnosis.

A site that loses 40% of organic traffic in three months receives descending graphs, but zero actionable explanation. The algorithm penalized something, but what exactly? Duplicate content on 200 pages? Catastrophic mobile speed? Toxic backlinks accumulated over two years?

Google implicitly acknowledges that its main communication tool with webmasters is frustratingly opaque. Practitioners spend hours cross-referencing external signals (Analytics, third-party tools, crawlers) to guess what Search Console does not clearly state.

What does ‘actionable information’ mean in this context?

Actionable information meets three criteria: it identifies a specific problem, indicates its relative impact, and suggests a concrete correction.

Today, Search Console tells you, “127 non-indexed pages: soft 404”. Nothing more. Tomorrow, the tool could indicate: “127 pages detected as blank content (

Is this statement consistent with observed practices on the ground?

Partially. Google has already tested forms of actionable guidance with the Core Web Vitals reports or the PageSpeed Insights suggestions. These tools provide precise technical recommendations (lazy loading, image compression, removal of blocking resources).

However, on content and links aspects, Search Console has always remained silent. No alerts on cannibalization, no indicators of writing quality, no signals on problematic backlinks outside of manual disavowal. If Google really wants to extend this logic to these two pillars, it would be a major shift.

[To check]: John Mueller talks about an ongoing “study”, not an imminent rollout. How long between this exploratory phase and a usable feature? Six months? Two years? Google's history shows that many announcements remain in the stage of internal prototype.

What nuances should we add to this announcement?

Google will never reveal all its ranking criteria. Providing actionable information means walking a fine line: giving enough context to be useful, but not so much that exploitable gaps are revealed.

In concrete terms? Expect aggregated indicators, not an exhaustive checklist. Google might say, “your content lacks depth on 40% of indexed pages”, but not “use exactly 1847 words with 12 occurrences of this keyword”. The difference between guidance and manipulation remains a delicate balance.

Another nuance: these recommendations are likely to be generic by default. An e-commerce site with 50,000 product pages won’t receive granular analysis page by page, but macro trends. Webmasters will still have to cross-reference this data with their own tools to refine the diagnosis.

In what cases could this evolution pose issues?

If Google automates its recommendations too much, it risks normalizing sites toward a single model. Imagine if Search Console systematically suggests, “add at least 500 words per page.” The result: artificial inflation of content, unnecessary semantic stuffing, homogenization of the web.

Google's algorithms are already accused of favoring long and structured content (H2, H3, lists, FAQ) at the expense of shorter yet impactful formats. If Search Console explicitly pushes in this direction, it will amplify the phenomenon. The risk? Sacrificing editorial diversity on the altar of algorithmic optimization.

What should you do concretely while waiting for this rollout?

Do not remain passive. The three pillars mentioned (technical, content, links) are already auditable today with existing tools. If Google eventually displays these diagnostics in Search Console, it’s better to get ahead.

Technical aspect: run a full crawl with Screaming Frog or Oncrawl, identify slow pages (>2.5s LCP), track critical JavaScript errors, map your crawl budget to eliminate unnecessary facets. Content aspect: detect cannibalization with targeted site: queries, measure semantic depth with TF-IDF analyzers, spot orphan pages via your internal linking. Links aspect: audit your backlink profile with Ahrefs or Majestic, calculate your toxic/healthy ratio, diversify your referring domains if you rely too much on a few sources.

What mistakes to avoid in light of this announced evolution?

Do not turn your site into a mechanical optimization factory. If Search Console tells you tomorrow, “add FAQs on 200 pages”, do not generate 200 identical FAQs with ChatGPT just to tick the box.

Google's algorithm is increasingly capable of detecting industrial patterns. An artificial FAQ that repeats the same generic questions (“What is X?”, “Why choose X?”) on each product page will probably be ignored, or even penalized. Each correction must provide real value to the user, not just satisfy a metric.

Another trap: do not solely rely on Search Console to diagnose your site. Even with actionable recommendations, the tool will remain incomplete by design. Google will never reveal everything to you. Always cross-reference its data with third-party tools, user tests, and server log analyses.

How to check if your site is ready for this evolution?

Conduct a preventive audit on the three axes. Ask yourself these questions: do my pages load in less than 2.5s on 3G mobile? Does my content provide a unique answer compared to the top 10 competing results? Is my links profile naturally diversified or concentrated on a few large domains?

If you detect major weaknesses, prioritize them by likely impact on traffic. A strategic page generating 40% of your conversions deserves priority treatment, even if it has fewer technical issues than a zombie page with 3 visits per month.

• Crawl your site to identify technical errors, slow pages, and structural issues.
• Audit your content to detect cannibalization, orphan pages, and superficiality.
• Analyze your links profile: toxic/healthy ratio, diversity of referring domains, over-optimized anchors.
• Prioritize corrections based on business impact, not just the volume of detected issues.
• Document your optimizations to measure their effect before/after the new GSC reports are rolled out.
• Remain critical of automated recommendations: always verify that they serve the real user, not just the algorithm.