Anchor text: distribution, proportions, and how to avoid over-optimization

What anchor text distribution is and why Google evaluates it

Anchor text is the visible text that contains a link. When a site accumulates backlinks, the combination of all those anchor texts forms a pattern. Google analyzes that pattern to determine whether a link profile is the result of organic mentions or an artificial ranking campaign.

A site with hundreds of backlinks whose anchor text repeats the exact same commercial keyword — for example, "buy clothes online" — presents a profile that is unlikely to reflect spontaneous editorial behavior. That signal can lead to a manual penalty or an algorithmic devaluation of the affected links.

The key concept here is that Google does not evaluate an anchor in isolation, but rather the proportion of each type relative to the total. A single exact match anchor link is not a problem; thirty out of forty is.

Anchor text distribution is not managed link by link. It is managed as a cumulative percentage of the entire profile, and that percentage changes with every new backlink pointing to the site.

The types of anchor text that make up a profile

Before discussing proportions, it is necessary to be clear about what categories exist. The taxonomy most commonly used in professional practice distinguishes the following types:

• Exact match: the anchor matches the target keyword exactly. Example: if the keyword is "invoicing software," the anchor is "invoicing software."
• Partial match: the anchor includes the keyword but with additional words or in a different order. Example: "the best invoicing software for small businesses."
• Branded: the anchor is the brand name. Example: "Contabilium" or "Bsale."
• Naked URL: the anchor is the full or partial URL. Example: "www.example.com" or "example.com/blog."
• Generic: text such as "click here," "read more," "this article," "source," with no reference to the content.
• LSI / topical: anchors semantically related to the topic but that do not contain the main keyword. Example: for an electronic invoicing page, an anchor like "digital tax management."
• Image (alt text): when a link is contained within an image, the alt attribute acts as the anchor text. It is managed in the same way as text anchors.

Each of these types serves a different function in the profile and carries a different weight in how the algorithm reads it. To go deeper into how the diversity of these types interacts with the domains that generate them, it is worth reviewing the analysis on referring domains and anchor text diversity in a healthy profile.

Reference proportions: what audited profiles indicate

There is no official formula published by Google establishing exact percentages for each anchor type. What does exist are patterns observed in audits of sites with a track record of sustained organic growth and no history of penalties.

The proportions that follow are guidelines. They vary by niche, domain age, content type, and geographic market. However, they provide a starting point for evaluating your own profile.

Typical profile of a site with unmanipulated organic growth

• Branded: between 30% and 50%. This is the most frequent type on sites with brand recognition, because people link by mentioning the name.
• Naked URL: between 15% and 25%. Common on social media, forums, and directories.
• Generic: between 10% and 20%. Appears naturally in informal editorial mentions.
• LSI / topical: between 10% and 20%. Reflects that the content is cited in context.
• Partial match: between 5% and 15%. Arises from mentions where the author describes the content being linked to.
• Exact match: between 1% and 5%. The lowest proportion in organic profiles, because few people link using an exact commercial keyword.

These proportions show why exact match anchors should be used carefully: their natural occurrence is low, so any campaign that raises them significantly generates an anomalous signal.

How it varies by site type

An informational content blog receives more generic anchors and naked URLs than an e-commerce site. An e-commerce site, in turn, has a higher proportion of branded anchors because users mention it by name when recommending products. A niche site with limited brand recognition may carry less branded weight and more LSI. Adjusting the strategy to that context is part of campaign planning.

Over-optimization signals that trigger algorithmic filters

Anchor text over-optimization does not always result in a manual penalty visible in Google Search Console. In many cases it operates algorithmically: the affected links simply do not pass the expected value, or the target page's rankings stagnate without any apparent technical cause.

Patterns that correlate with algorithmic issues

• More than 20–25% of total backlinks using exact match for the same keyword.
• Multiple exact match anchors coming from recently created domains or domains with very low organic traffic metrics.
• Exact match anchors in links originating from private blog networks (PBNs) with detectable footprints.
• Sudden spikes in backlinks with exact match anchors over a short period, without a justifying event (product launch, media coverage, etc.).
• Near-total absence of branded or generic anchors: a profile with 90% topical or exact match anchors does not reflect real editorial behavior.

The article on common link building mistakes and how to avoid them covers in detail other problematic patterns beyond anchor text that are also worth reviewing in parallel.

The problem of accumulation velocity

Beyond proportion, the rate at which anchors of a given type accumulate is also relevant. A site that goes from 2% to 18% exact match in three months — without an editorial event to explain it — generates an accumulation curve that can be detected. The pace of link acquisition is part of the analysis, not just the static state of the profile.

How to plan distribution in an active campaign

Managing anchor text in a link building campaign means working with the existing profile as a starting point and deciding which types to add based on that state.

Step 1: audit the current profile

Before adding a single new link, it is worth exporting the complete backlink profile from a tool like Ahrefs or Semrush, classifying each anchor into the categories mentioned, and calculating the current proportion of each type. That diagnosis determines the available margin for exact match and partial match anchors.

When evaluating the state of the profile, it also matters to consider key metrics for evaluating backlinks such as DR, DA, and organic traffic from the domains already linking to the site, because a low-quality backlink with an exact match anchor carries more risk than the same anchor on a domain with real traffic.

Step 2: define the anchor budget per campaign

If the current profile has 2% exact match and the site is far from the risk threshold, a campaign can include some exact match anchors in a measured way. If it is already at 12%, the priority should be adding branded, naked URL, and LSI anchors to dilute the proportion before introducing more exact match.

The decision-making process for each link in a campaign — including how to choose the right anchor for each publication — is detailed in the article on how to define anchor text in a campaign without over-optimizing.

Step 3: distribute anchors across internal destinations

A campaign typically targets more than one URL on the site: homepage, category pages, specific articles. Distributing exact match anchors across multiple destination pages — rather than concentrating them all on a single URL — reduces risk and allows working more keywords in parallel without saturating any single page with an anomalous pattern.

Step 4: monitor the profile regularly

Anchor text distribution is not static. Backlinks are lost, linking sites change their content, and each new link shifts the proportions. Reviewing the profile on a monthly or bimonthly basis makes it possible to detect deviations before they become a compounding problem.

Considerations for the Latin American market

In LATAM, editorial link building faces a media ecosystem with its own characteristics. News portals and niche blogs tend to accept sponsored content more readily than their counterparts in markets like Spain or the United States, which creates greater availability of topical and partial match anchors through paid content.

However, that availability also means that profiles of sites operating in the region can accumulate topical anchors at a faster pace than would be natural if they depended exclusively on organic mentions. That characteristic of the market makes distribution planning, if anything, more necessary than in other contexts — not less.

The volume of sponsored publications available is not in itself a risk signal; what is a risk signal is the uniformity of anchor text across those publications. Varying anchors in each piece of sponsored content — even when the target is the same — is the practice that distinguishes a planned campaign from one that accumulates unnecessary risk.

Operational summary

Anchor text distribution is a manageable factor, not a product of chance. The points that concentrate the greatest risk are: the proportion of exact match relative to the total, the rate at which a given anchor type accumulates over a short period, and the lack of variety in the profile. Auditing the profile before each campaign, defining anchors with a proportional approach, and monitoring changes over time are the three practices that allow you to capture the value of links without generating patterns the algorithm interprets as manipulation.