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In practice
Over-optimisation is detectable precisely because it is unnatural: real companies are cited in many ways, while a campaign chasing one keyword stamps the same phrase everywhere. The damage mechanism is not a dramatic penalty notice but a discount — the affected links stop counting, and the pages they point at can inherit suspicion, which shows up as a ceiling the site cannot break despite continued spending. The pattern usually arrives with volume programmes: dozens of placements a month, the same commercial anchor each time, often across low-relevance publishers.
Fixing it starts with an honest audit: pull the anchor report, quantify how concentrated the profile is, and map which anchors came from which campaign or vendor. Then rebalance through new acquisition, not deletion — brand anchors and descriptive variety added over the following months dilute the pattern; mass disavow of old links is rarely the right first move and can discard value that still counts. Most importantly, stop the source: a vendor still shipping the same keyword anchors will outpace any cleanup.
Prevention is an agreement, not an aspiration — anchor approach set per campaign, brand anchors as default, exact-match used sparingly where it genuinely reads naturally, and every placement’s anchor visible in the approval pack before it goes live. The same concentration check applies to AI visibility: engines reconciling brand descriptions also read anchor patterns when deciding what a brand is about.
See also: Anchor text distribution, Link schemes, Anchor plans per campaign.
Related service: Link insertions.
