Does Googlebot really handle ranking, or is Google just spinning tales?

Is Googlebot truly limited to crawling and indexing?

Splitt draws a clear line. Googlebot performs two main functions: retrieving online content (crawling) and structuring it to understand its theme (indexing). Ranking, on the other hand, comes afterward — and is not driven by Googlebot.

This distinction may seem semantic, but it carries weight. Googlebot is a collecting robot, not a judge. It brings back the raw materials. Ranking involves another mechanism — relevance algorithms, quality signals, user context. Two separate worlds in Google's architecture.

Why does Google emphasize this separation?

Because many SEOs mix everything up. We talk about a 'Googlebot problem' when the real issue is a ranking deficiency. If your content is crawled and indexed but invisible in SERPs, it’s not a bug with Googlebot — it’s a problem of relevance, authority, or competition.

Splitt wants us to stop conflating technical accessibility and algorithmic performance. Googlebot gives you an entry point. Ranking decides if you deserve the podium. These are not the same levers.

What does this concretely change for a practitioner?

This imposes a logical sequence in your diagnosis. First, check that Googlebot can access your pages (robots.txt, crawl stats, server logs). Then, ensure they're indexed (site: query, Search Console). Only after that can you tackle ranking.

Many consultants skip steps. They optimize content that isn’t even crawled correctly. Splitt reminds you of the order of operations: without successful crawling and indexing, ranking is moot.

• Googlebot does not rank — it collects and structures.
• Ranking is a separate layer that uses indexed data.
• Diagnosing an SEO problem requires separating crawling, indexing, and ranking.
• Optimizing for Googlebot is not enough — you must also satisfy ranking criteria.
• The confusion between the two leads to incomplete audits and ineffective optimizations.

Is this statement consistent with what we observe in the field?

Yes and no. In principle, Splitt is correct — technically, Googlebot is just a crawler. But in real life, this boundary is blurrier than he states. Googlebot collects signals that directly influence ranking: load times, HTML structure, resource availability. To say it only crawls is to overlook that the quality of the crawl conditions the ranking.

Concrete example? If Googlebot can't execute your JavaScript, your content is not indexed — and thus never ranked. If your pages take 8 seconds to load, Googlebot crawls less deeply, and your internal linking no longer passes juice. The theoretical separation between crawling and ranking is true. The practical separation is debatable. [To be verified]

What nuances should we add to this statement?

Splitt doesn’t mention the role of crawl logs in freshness signals. If Googlebot visits your site every hour, Google infers that you publish often — a positive signal for ranking on certain queries. Conversely, infrequent crawling may signal a dormant site.

Another blind spot: the prioritization of crawl budget. Googlebot decides which pages to crawl based on perceived importance — and this importance partly relies on ranking signals (backlinks, traffic, authority). So ranking influences crawling, which influences indexing, which influences ranking. A loop, not a linear sequence.

In what cases does this rule not apply as expected?

On very large sites (e-commerce, marketplace), crawl budget limitations skew everything. Googlebot may technically access a page, but never crawl it — hence never index it, thus never rank it. In this case, the issue is indeed with Googlebot, even if Splitt would say otherwise.

The same goes for JavaScript-heavy sites. Googlebot crawls the page but cannot always execute the JS — resulting in partial or incorrect indexing. Ranking suffers. Splitt separates crawling and ranking, but in practice, a crawl deficiency turns into a ranking deficiency.

What should you do concretely to optimize each step?

Start by auditing your crawl: analyze your server logs to track crawled URLs, their frequency, and HTTP errors. If Googlebot ignores entire sections, it’s a problem of internal linking, robots.txt, or crawl budget. Fix that first.

Next, check indexing via Search Console. Compare the number of submitted pages to the number of indexed pages. If the gap is massive, dig deeper: duplicated content, accidental noindex tags, misconfigured canonical tags. Indexing is not automatic — it must be managed.

Finally, optimize for ranking: content, backlinks, UX, EAT. But only after crawl and indexing are validated. Splitt reminds you that investing in link building on uncrawled pages is throwing money out the window.

What mistakes should be avoided in this process?

Do not confuse 'accessible page' and 'crawled page'. A URL may technically respond with a 200 but may have never been visited by Googlebot. Check the logs, not just the HTTP code. Another classic mistake: optimizing for indexing without securing crawling first. If Googlebot never comes, it doesn’t matter how perfect your content is.

And most importantly, don’t neglect crawl speed. A slow server chases away Googlebot. Result: fewer crawled pages, thus fewer indexed, leading to less traffic. Technique comes first. Everything else follows.

How can I verify that my site complies with these three steps?

Implement regular monitoring of the three key metrics: crawl frequency (via logs), indexing rate (via GSC), and position evolution (via your usual tracking tool). If any of the three is malfunctioning, you know where to dig.

Also use the Search Console URL inspection tool to test strategic pages. It shows you if Googlebot managed to crawl, how it indexed, and if any resources were blocked. It’s your best ally for detecting inconsistencies between what you see and what Google sees.

• Analyze server logs to track Googlebot visits and identify ignored areas
• Check the indexing rate in Search Console and identify excluded pages
• Fix crawl errors (robots.txt, redirects, 4xx/5xx errors) before optimizing content
• Optimize server response time and rendering speed to maximize crawl budget
• Establish continuous monitoring of the three metrics: crawl, indexing, ranking
• Never invest in ranking (content, backlinks) before validating crawl and indexing