Diagnose this by sampling the actual anchor text and destination relevance of a site’s programmatically generated internal links at scale, rather than assuming programmatic linking is inherently a problem or inherently fine. If a large share of the sampled links use generic, templated anchor text pointing to pages that share only superficial attributes with the linking page, not genuinely meaningful relevance to that specific page’s content, that pattern is dilution. If the linking logic is instead driven by genuinely shared entities or attributes that matter to an actual user’s intent, and anchor text reflects that specific relationship rather than a boilerplate phrase repeated everywhere, that’s a legitimate, non-diluting use of programmatic linking at scale.
Why the diagnosis requires sampling, not assumption
Programmatic internal linking, links generated by a rule or template rather than an editor hand-picking each one, is common on any site with enough pages that manual linking isn’t practical: large e-commerce catalogs, content sites with thousands of articles, directory-style sites. The mechanism itself isn’t inherently good or bad; it depends entirely on what the underlying rule is actually doing. A rule that links a page to genuinely related content based on meaningful shared attributes (the same specific product line, the same narrow topic, the same specific use case) produces internal links that are just as relevant as a human editor would have chosen, just generated at scale. A rule that links pages based on a broad, loosely defined “same category” criterion applied indiscriminately, regardless of how closely related the specific pages actually are to each other, produces a high volume of links that technically exist but carry little genuine topical relevance.
This is why the diagnosis has to involve actually looking at the output, not just knowing that linking is programmatic. Two sites can both use fully automated internal linking and land in very different places: one with a tightly scoped rule producing genuinely relevant links, the other with a loose rule producing a large volume of low-relevance links that dilute the anchor-text signal Google’s systems use to understand page relationships.
Mechanism: what dilution actually looks like in the data
Google’s general internal-linking guidance treats internal links as a signal helping both users and Google understand the relationships between pages, which assumes those relationships are genuine, not indiscriminate. When anchor text across a large share of a site’s internal links is generic or templated (“related products,” “you might also like,” repeated verbatim across thousands of unrelated page pairs) rather than descriptive of the specific relationship between the two pages, the anchor-text signal itself carries less information, since the same phrase is being applied regardless of what’s actually being linked. This is the anchor-text-relevance dilution the question is asking about: not that links exist, but that the words used to describe those links stop meaningfully differentiating genuinely relevant relationships from loosely related or barely related ones.
The destination-relevance side compounds this: if the linking rule connects a page to others sharing only a superficial or very broad attribute (same top-level category, same general product type, without meaningful overlap in more specific attributes that would matter to an actual user), a large volume of those links are connecting content that isn’t genuinely useful for the visitor to jump between, and doesn’t represent the kind of meaningful topical relationship internal linking is supposed to signal.
Practical diagnostic framework
Sample a representative set of programmatically linked page pairs. Pull a sample across different templates and sections of the site rather than checking only one page type, since dilution patterns can vary by which template or rule generated the links.
Evaluate anchor text specificity. For each sampled link, ask whether the anchor text describes something specific and true about the relationship between the two pages, or whether it’s a generic phrase that would read identically regardless of which two pages were connected. A high proportion of the latter is a direct sign of the dilution pattern.
Evaluate destination relevance from a user’s perspective. For each sampled link, ask whether a visitor landing on the source page would find the linked destination genuinely useful given what they were looking at, or whether the connection is only technically true (same broad category) without being meaningfully useful. This user-relevance lens is a reasonably reliable proxy for whether Google’s systems would also read the relationship as genuinely meaningful versus superficial.
Check the underlying rule, not just the output. Once a dilution pattern is confirmed in sampled output, trace it back to the specific linking rule generating it, since the fix is almost always narrowing the rule’s matching criteria to genuinely meaningful shared attributes rather than abandoning programmatic linking altogether.
Practical implication
Where dilution is confirmed, the fix is tightening the linking logic’s matching criteria to genuinely relevant shared attributes and writing anchor text templates that reflect the specific relationship being linked, rather than reducing to indiscriminate volume in either direction (there’s no case for simply linking less without addressing the relevance criteria, since a tighter, more relevant rule can still produce plenty of links; it just won’t produce them between pairs that don’t genuinely belong together). This keeps programmatic linking’s real advantage, scale, while avoiding the anchor-text and relevance dilution that comes specifically from applying that scale indiscriminately rather than deliberately.
