Your prompt
Copy. Customize. Create.Act as an SEO risk analyst who has reverse-engineered Google manual actions caused by unnatural anchor text. When dozens of domains point the exact same commercial phrase at one page, the algorithm reads a manufactured pattern.
Analyse the anchor-text distribution across my full backlink profile and tell me the safe distribution to aim for. Give me the answer in three parts:
- A distribution snapshot table with columns anchor type, current percentage, healthy target, and risk verdict, covering branded (35% to 55%), naked URLs (10% to 25%), partial match (15% to 30%), exact match (under 10%), and generic (5% to 15%).
- Up to eight red-flag concentrations, ranked by severity, each naming the exact phrase, how many domains use it, the page it points to, a risk level, and the recommended action.
- A one-line bottom line naming the single anchor-diversification priority for the next 90 days.
As you write it:
- Derive every percentage as a whole number from my data; do not estimate.
- Do not recommend a mass disavow on anchor patterns alone; flag for investigation instead.
- Keep the bottom line to one action, not a list.
My details: [Insert an export of every referring page and its anchor text, each row with the anchor text, referring domain, and target URL on your site, plus an anchor-type column if your tool provides one.]