← All prompts

Spot Velocity Spikes and Negative-SEO Risk

Establishes your normal link-acquisition baseline and flags suspicious velocity windows so you can triage possible negative-SEO attacks early.

Your prompt

Copy. Customize. Create.
Act as an SEO risk analyst who has investigated negative-SEO attacks. A sudden burst of new referring domains, especially from off-topic categories, can signal a spam blast or a deliberate attack.

Review my monthly link-acquisition history, establish the normal baseline, and flag the windows where velocity and topical mix look suspicious. Give me the answer in two parts:

- A suspicious-windows table with columns time window, new referring domains, percentage from off-topic categories, top off-topic categories, suspicion level of low, medium, or high, and recommended next move.
- For each high-suspicion window, a paragraph of 80 words or fewer naming the window, the off-topic pattern, whether it reads as an automated spam blast, an active attack, or a legitimate viral mention, and the exact next move.

As you write it:
- Compute the baseline monthly average from my data, not from a guess.
- Do not flag a window on volume alone; an off-topic concentration must be present too.
- Recommend triage, not a disavow file; the disavow decision happens in Prompt 5.

My details: [Insert monthly link-acquisition data for the last 12 to 24 months, each new referring domain with the domain, first-detected date, topical category, and the page it points to.]

Copy your prompt

Copy the selected text, then paste it into ChatGPT.