Official statement
Other statements from this video 12 ▾
- 2:12 Google traite-t-il vraiment les directives d'indexation ajoutées en JavaScript ?
- 3:16 Pourquoi les modifications de site provoquent-elles des chutes temporaires de classement ?
- 5:20 Pourquoi vos dates d'affichage dans la Search Console ne correspondent-elles pas à la réalité ?
- 12:45 Le duplicate content entre domaines géographiques est-il vraiment sans risque pour le SEO ?
- 15:58 Faut-il vraiment conserver toutes les versions d'un site dans Search Console après une redirection ?
- 18:44 Les promotions croisées nuisent-elles au SEO si elles dérivent du sujet principal ?
- 28:35 Les chaînes de canoniques complexes compromettent-elles vraiment l'indexation de votre site ?
- 28:35 Les chaînes de canoniques ralentissent-elles vraiment la consolidation de vos signaux SEO ?
- 29:50 Les commentaires spam ruinent-ils vraiment votre SEO ?
- 34:54 Le mobile-first indexing est-il vraiment un aller sans retour pour votre site ?
- 44:30 Peut-on indexer ses pages de résultats de recherche interne sans risque de pénalité ?
- 47:04 Les données structurées peuvent-elles vraiment vous éviter des complications en SEO ?
Google does not systematically crawl or index every page of a website, even a modest one. The detection of redundant or low-value URLs leads the engine to ignore entire sections of content. A clear structure without duplication remains the main lever to maximize your presence in the index, although the specific filtering criteria remain opaque.
What you need to understand
What does Google mean by 'crowding' in the context of indexing?
The term crowding refers to the cluttering of a site by multiple URLs pointing to identical or nearly identical content. Google detects these duplicates during the crawl and chooses not to index the variants deemed unnecessary.
Specifically, if your product catalog generates five different URLs for the same listing (with sort parameters, color filters, user sessions), Googlebot crawls them but keeps only one canonical version in its index. The others simply disappear, even if they are technically accessible.
Why can't Google index all the pages of a site?
The capacity for indexing is not limitless. Google allocates a crawl budget proportional to the authority of the site, its publication velocity, and its technical quality. A site with 10,000 pages of which 7,000 are redundant or of low value wastes this budget on ignored content.
The algorithm prioritizes pages that provide unique and sought-after information. A page that has had no organic traffic for 18 months, or that duplicates already indexed content, will naturally be deprioritized. Google optimizes its infrastructure: why store and process millions of pages that no one consults?
How does Google detect redundant URLs during crawling?
Googlebot compares content signatures (MD5 hashing, semantic analysis, DOM structure) to identify duplicates. Two pages with 95% identical text trigger a redundancy signal, even if the URLs differ.
The detection mechanisms also incorporate behavioral signals: if no one clicks on a URL in the SERPs for 6 months, or if there are no internal or external links referencing it, it becomes a candidate for de-indexation. The next crawl may ignore this page if nothing has changed.
- Eliminate unnecessary URL variations: session parameters, tracking IDs, multiple sorts.
- Use canonical tags to indicate the reference version in case of similar content.
- Monitor the Search Console: detected but non-indexed pages reveal a crowding or quality issue.
- Simplify your structure: fewer pages of better quality are better than a bloated, poorly structured catalog.
- Actively deindex zombie pages via robots.txt or noindex if they provide no SEO value.
SEO Expert opinion
Does this statement truly reflect the field observations of SEO professionals?
Yes and no. On large e-commerce sites, it is indeed observed that Google ignores 30 to 60% of the crawled URLs, especially if pagination is poorly managed or if filters generate infinite combinations. However, Mueller remains vague on the thresholds triggering this filtering.
The problem is that we have no official quantitative indicator to measure crowding. Google does not publish a redundancy score or an optimal indexed/crawled pages ratio. We are navigating by feel. [To be confirmed]: the exact correlation between detected duplication and indexation rate is not documented anywhere by Google.
What nuances should be added to this Google statement?
Mueller implies that clear structure = maximum indexation, but this is simplistic. A site can have a perfect structure and have entire sections ignored if its overall authority is low or if the content lacks freshness.
Conversely, technically chaotic sites but with high authority (press, marketplaces) see their pages indexed en masse despite redundancy. Internal and external PageRank remains decisive, although Google minimizes this factor in its public communications.
In what cases does this rule not fully apply?
News sites benefit from preferential treatment: Google indexes similar content (AFP dispatches picked up by 50 media) almost instantly because freshness takes priority over uniqueness. Crowding does not play out with the same intensity.
Highly authoritative sites (Wikipedia, government sites) also see their secondary pages indexed more widely. Google tolerates more structural redundancy when editorial trust is established. This is an asymmetry rarely officially acknowledged.
Practical impact and recommendations
What should you prioritize auditing to reduce the crowding on your site?
Start by extracting all crawled URLs via the Search Console and compare them with the pages that are actually indexed (site: query). The gap reveals the extent of the problem. A crawl/index ratio below 60% signals severe crowding.
Then identify sources of duplication: catalog filters, dated archives, separate mobile versions (if not responsive), paginated pages without rel=prev/next. Each family of duplicate URLs must be canonicalized or consolidated.
What technical errors exacerbate this phenomenon of non-indexation?
Dynamic URL parameters that are not controlled explode the number of variants: ?sort=price&color=red&size=M generates hundreds of combinations for the same product. Google crawls all of them, detects them as redundant, and indexes only a fraction.
Multilingual sites without correct hreflang also create crowding: Google sees /fr/product and /en/product as potential duplicates if the translated content is poor or automated. The result: only one version is indexed, often not the one intended.
How can you structure your site to maximize the indexation of strategic pages?
Focus your internal linking on high-value pages. A page linked from the homepage or a main category receives more crawl budget and internal PageRank than a page buried five clicks deep.
Use strategic XML sitemaps: only list canonical URLs, without unnecessary parameters. A sitemap of 50,000 URLs of which 35,000 are ignored by Google pollutes the signal and delays the indexing of important pages. Segment by content type if necessary.
- Audit the crawl/index ratio in the Search Console quarterly.
- Consolidate URLs via canonicals, 301 redirects, or URL parameters in GSC.
- Trim zombie pages: fewer than 10 organic visits in 12 months = candidate for removal or noindex.
- Prioritize internal linking towards pages generating revenue or conversions.
- Segment your sitemaps: one per content type (products, blog, static pages).
- Monitor server logs to detect URLs crawled but never indexed.
❓ Frequently Asked Questions
Quelle est la différence entre une page crawlée et une page indexée ?
Combien de temps faut-il pour que Google désindexe une page redondante ?
Les balises canonical suffisent-elles à résoudre tous les problèmes de crowding ?
Un site de 500 pages peut-il aussi souffrir de crowding ?
Comment savoir si mes pages sont non indexées à cause du crowding ou d'un autre problème ?
🎥 From the same video 12
Other SEO insights extracted from this same Google Search Central video · duration 54 min · published on 29/11/2018
🎥 Watch the full video on YouTube →
💬 Comments (0)
Be the first to comment.