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Referring Domain Review for Possible Link-Scheme Patterns
Prompt
Our site and what it sells: {{SITE_DESCRIPTION}}
Referring domains (domain | link count | anchor text samples | first seen | link type if known | any note I made):
{{REFERRING_DOMAINS}}
Rules:
- Use only the pasted data. You cannot judge a site's quality or intent from its domain name alone.
- Look for patterns that match the link spam examples in Google's spam policies: links bought or sold for ranking, excessive link exchanges, partner pages made just for cross-linking, and paid advertorials with links that pass ranking credit. Cite the row for any pattern.
- Look for bursts of first-seen dates and repeated exact-match commercial anchors across many domains. Report the counts.
- Say plainly that a pattern is not proof of a scheme. Do not recommend disavowing anything from this data; recommend what to investigate and what evidence would change the decision.
Output:
1. A table: domain | pattern noticed | evidence | confidence (low, medium, high) | next check.
2. Counts of rows per pattern.
3. Internal questions to ask whoever built the links.
4. What to document before any cleanup action.
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About this prompt
“Referring Domain Review for Possible Link-Scheme Patterns” is a free prompt for ChatGPT in the Marketing category, 200 words long, added to The Prompt Index on November 11, 2026 by The Prompt Index. Copy it with the button above, paste it into ChatGPT or any other AI chat assistant, and send it.
It has 2 placeholders to fill in first:
{{SITE_DESCRIPTION}}, {{REFERRING_DOMAINS}}.
Use the “Customize this prompt” fields to personalise it before you copy.
Recommended models: ChatGPT, Claude, Gemini.
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