How does Google determine which links to count for anchor text?

Why doesn’t Google treat all links the same way?

The search engine faces a concrete issue: a single page can contain dozens of links to the same URL, with different or identical anchors. Counting every link uniformly would open the door to massive manipulations, like keyword stuffing in anchors.

Google therefore applies a variable selection logic to determine which links and anchors are actually taken into account in the calculation of PageRank and semantic context. This selection is not binary: it’s not "all or nothing," but rather a contextual filter that evolves based on algorithm updates.

What criteria influence link selection?

Google does not publish the exact list of criteria, but several signals are known to play a role. The position of the link in the DOM (the first link to a given URL has historically been prioritized), the nature of the surrounding content, and the semantic consistency of the anchor with the target page's context all come into play.

The behavior may also vary depending on the type of page (navigation, editorial content, footer) and the frequency of updates. A static page and a page updated daily are not treated with the same filters. The crawl budget and the overall quality of the site also influence the depth of analysis.

Has this behavior evolved over time?

Matt Cutts explicitly states that the process is not fixed. In the early years, Google consistently favored the first link to a given URL on a page. This simplified rule has been relaxed over the years to allow for more nuanced and contextual analysis.

Recent updates lean towards a more nuanced consideration of multiple links, particularly to better understand linking intentions and avoid penalizing complex navigation structures. This means that a site optimized five years ago may no longer meet current criteria.

• Google applies a variable selection of links for calculating anchor text and PageRank, not a uniform treatment.
• The position in the DOM, semantic consistency, and page context are determining factors.
• This behavior has evolved over time, shifting from a strict rule (only the first link) to a more contextual logic.
• This variability makes link-building and internal linking strategies harder to optimize.
• No exhaustive public criteria are available, making an empirical approach necessary.

Does this statement align with real-world observations?

Yes and no. Empirical tests show that not all links on a page are equal, and that Google makes choices. However, the statement remains frustrating due to its lack of granularity: we don't know precisely which criteria trigger a specific selection.

Tests on pages containing multiple links to the same URL with different anchors have shown that the first link is no longer always the only one considered, unlike what was observed in the 2000s. But variations are also noted across sectors and types of queries. [To be verified]: the actual impact of link order in the DOM is still debated among practitioners, with contradictory results depending on niches.

What nuances should be added to this assertion?

Matt Cutts speaks of a behavior that "can vary," which is a graceful way of saying that Google does not commit to anything specific. This wording leaves total algorithmic leeway, making any optimization based on this statement inherently uncertain.

In practice, this means that two sites in different sectors can observe opposing behaviors. An e-commerce site with complex categories will not be treated like a simple editorial blog. The overall quality of the site (authority, trust, history) seems to modulate the application of these rules: a reputable site will have more links counted than a freshly launched site.

What risks do internal linking strategies face?

The main risk is to overinvest in optimizations based on outdated assumptions. If you continue to apply the rule of "only the first link counts," you miss opportunities for semantic reinforcement through contextually placed anchors further down in the content.

Conversely, multiplying internal links with over-optimized anchors in the hope that Google will count them all can be counterproductive. The engine detects artificial patterns and may devalue the entire linking structure if it senses an attempt at manipulation. The balance is delicate and highly dependent on editorial consistency.

What should you do concretely to optimize anchor text?

First rule: prioritize quality over quantity. Rather than multiplying internal links with identical anchors, create a coherent linking structure where each link adds clear contextual value. Google values editorial relevance, not mechanical repetition.

Next, vary the anchors even when multiple links point to the same URL. If you need to mention a product page three times in an article, use different phrases that enrich the semantic context instead of repeating the same exact keyword. This maximizes your chances that Google will consider multiple signals.

What mistakes should be avoided in internal linking?

The classic mistake: placing all important links in the footer or in a sidebar thinking they will be treated the same way as contextual links in the main content. Tests show that Google assigns different weight based on page area, and editorial links within the body of text are generally valued more highly.

Another trap: creating pages with dozens of links to the same destination on the premise that "Google may select some of them." This type of structure resembles spam and may trigger filters. Stay within natural proportions: 2-3 links to the same URL on a standard page is already a lot.

How can you check the effectiveness of your anchoring strategy?

Implement a tracking system for pages by semantic clusters and observe the evolution of rankings for the queries targeted by your anchors. If a page does not progress despite dense internal linking, it is possible that Google is not counting all your links.

Use crawling tools to identify repetitive link patterns that could be filtered. Regular audits of your linking structure can detect artificial patterns before they become an issue. Also, test the impact of link position: compare the performance of anchors placed at the top of content versus at the bottom.

• Favor a natural and contextual internal linking structure rather than a mechanical one.
• Vary the anchors even for links pointing to the same URL.
• Avoid excessive concentrations of links in peripheral areas (footer, sidebar).
• Regularly audit your link structure to identify artificial patterns.
• Test the impact of link position (top vs bottom of the page) on your SEO KPIs.
• Document your observations to adapt your strategy to algorithmic changes.