THE PROMPT LIBRARY

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126 prompts

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SEO & Content

Apply the Three-Step Disavow Triage

Applies a three-gate triage to flagged domains to decide which ones truly warrant disavowing.

PROMPT PREVIEW

Act as a Google Search Console specialist who has processed disavow files for sites recovering from penalties. Dumping every flagged link into the file kills legitimate citations, so each domain must pass all three triage gates. Apply the three-step disavow triage to…

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Act as a Google Search Console specialist who has processed disavow files for sites recovering from penalties. Dumping every flagged link into the file kills legitimate citations, so each domain must pass all three triage gates.
Apply the three-step disavow triage to each flagged domain from Prompts 1 through 4. Give me a triage table with these columns:
● Domain.
● Gate 1, passed a manual review, yes or no.
● Gate 2, has zero organic traffic and zero ranking keywords, yes or no.
● Gate 3, part of an obvious large-scale manipulation pattern, yes or no.
● Verdict of Disavow or Leave, and a reason in 20 words or fewer naming the gates passed or failed.
As you build it:
● Mark a domain Disavow only when all three gates pass; any single failure means Leave.
● Do not mark a domain Disavow on a low authority score alone, or one that ranks for any legitimate term.
● After the table, give the totals flagged, to disavow, and to leave. If the disavow count is zero, say so and recommend monitoring for 30 days.
My details: [Insert the domains flagged across Prompts 1 to 4, each with the domain, which prompt flagged it and why, and any evidence gathered so far.]

SEO & Content

Detect Anchor-Text Concentration Risks

Analyses anchor-text distribution against healthy targets and flags risky concentrations so you can diversify anchors before an algorithmic penalty hits.

PROMPT PREVIEW

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…

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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.]

SEO & Content

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.

PROMPT PREVIEW

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…

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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.]

SEO & Content

Score My Backlink Profile Against the Four Trust Criteria

Scores every referring domain against topical relevance, organic traffic, contextual placement, and editorial discretion to reveal which links to keep, deepen, watch, or investigate.

PROMPT PREVIEW

Act as a technical SEO analyst who has audited more than 500 backlink profiles. Domain Authority and Domain Rating are tool scores, not search-engine signals, so a high-DA link from a zero-traffic site can pass almost nothing. Score every referring domain in…

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Act as a technical SEO analyst who has audited more than 500 backlink profiles. Domain Authority and Domain Rating are tool scores, not search-engine signals, so a high-DA link from a zero-traffic site can pass almost nothing.

Score every referring domain in my backlink profile against the four trust criteria of topical relevance, organic traffic, contextual placement, and editorial discretion. Give me a table sorted by total score, high to low, with these columns:

- Referring domain.
- Topical relevance, organic traffic, and contextual placement, each scored 1 to 5.
- Editorial discretion, scored 5 for yes or 0 for no.
- Total score out of 20, and a verdict of Keep, Deepen, Watch, or Investigate for removal.

As you build it:
- Do not use Domain Authority or Domain Rating as a scoring input.
- Score every criterion as a whole number, with no decimals.
- If traffic data is missing for a domain, score it 1 and write "traffic data missing" in the verdict.
- Do not recommend disavowing here; this prompt only scores and flags.
- After the table, list the top 10 domains to deepen and the bottom 10 to investigate, one line each.

My details: [Insert your referring-domain export from Ahrefs, Semrush, or Moz: one domain per line with the linking page URL, anchor text, that page's monthly organic traffic, and topical category.]

SEO & Content

Magnetic Headline Generator

Generate seven specific, intriguing headlines that avoid clickbait and connect to real audience goals.

PROMPT PREVIEW

Act as a conversion copywriter who specializes in authentic headlines. Generate 7 headline options for my [blog post/email/landing page] that are specific, relevant, and intriguing without resorting to clickbait tactics. Each headline should: 1. Include concrete details rather than vague promises 2.…

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Act as a conversion copywriter who specializes in authentic headlines. Generate 7 headline options for my [blog post/email/landing page] that are specific, relevant, and intriguing without resorting to clickbait tactics. Each headline should:

1. Include concrete details rather than vague promises
2. Connect directly to the audience's actual goals or challenges
3. Create curiosity without misleading about the content
4. Use natural language my audience would recognize
5. Avoid hyperbole, false urgency, or manipulation

The content focuses on [topic] and addresses [specific audience pain points].

PROVIDE DETAILS ABOUT YOUR CONTENT AND TARGET AUDIENCE

SEO & Content

Open Loop Transition Creation

Generate ten natural transition phrases that keep readers moving without manipulative cliffhangers.

PROMPT PREVIEW

Act as a content flow specialist. Help me create natural transitions between sections of my [article/email/sales page] that maintain reader momentum without feeling manipulative. Generate 10 transition phrases that: 1. Create curiosity about what comes next 2. Feel conversational rather than formulaic…

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Act as a content flow specialist. Help me create natural transitions between sections of my [article/email/sales page] that maintain reader momentum without feeling manipulative. Generate 10 transition phrases that:

1. Create curiosity about what comes next
2. Feel conversational rather than formulaic
3. Align with my brand voice [describe voice]
4. Connect logically to both the preceding and following content
5. Avoid clickbait-style cliffhangers

My content covers [topic] and follows this basic structure: [outline structure]

PROVIDE A SAMPLE OF YOUR WRITING STYLE IF POSSIBLE

Better prompts.Better starting points.

Apply the Three-Step Disavow Triage

Detect Anchor-Text Concentration Risks

Spot Velocity Spikes and Negative-SEO Risk

Score My Backlink Profile Against the Four Trust Criteria

Magnetic Headline Generator

Open Loop Transition Creation

Better prompts.
Better starting points.