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Use when the user asks to "analyze backlinks", "analyze my off-site signals", or "track AI traffic / ChatGPT / Perplexity referrals"; profiles referring domains, anchor-text mix, toxic links, and disavow candidates (backlinks mode) or isolates AI-assistant referral sessions in GA4/GSC/logs and reports their trend, landing pages, and AI-vs-organic conversion (ai-referrals mode). Not for internal links — use site-structure-optimizer; not for keyword positions — use rank-tracker; not for multi-metr
Passed 20 of 22 test cases with the skill, and 3 of 22 without it.
and 30 more in the full report
17 fixed3 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
Perform an analysis of our site's inbound link profile using the provided export. I need a report covering our referring domain numbers, anchor text distribution, harmful or toxic link shares, competitor gap analysis, and at least three actionable link-building or cleanup steps. Please also generate a reusable handoff summary for our monitoring memory.
| Checked | Without skill | With skill |
|---|---|---|
| State backlinks mode in the first line of output. | Missed | Passed |
| Present the three choices: paste data, connect a tool, or cancel. | Missed | Passed |
| Refrain from inventing referring domain counts. | Missed | Passed |
The instructions your model reads when the skill loads.
Reports the two off-site signal families a domain earns from the outside world: the backlink profile (who links to you and how clean those links are) and the AI-assistant referral channel (how much traffic AI answers send you and whether it converts). Both are CITE-adjacent — they feed CITE Citation and Trust items — but they come from different data sources joined only at the domain level, so the skill keeps them behind a mode selector.
Mode set:
| Mode | Absorbs | Data source | Answers |
|---|---|---|---|
backlinks (default) | backlink-analyzer | ~~link database export / pasted CSV | Referring domains, anchor mix, toxic-link share, disavow candidates, competitor link gaps |
ai-referrals | ai-traffic | GA4 / GSC / server-log export | AI-assistant referral sessions, trend, top landing pages, AI-vs-organic conversion |
The seam: backlinks answers "is this domain worth trusting as a source?" from the link graph; ai-referrals answers "are AI engines already sending citations-as-traffic?" from your own analytics. Never blend the two datasets into one number — report each mode's figures under its own heading and let domain-authority-auditor join them into a CITE score.
Analyze backlink profile for example.com
Find link-building opportunities by analyzing competitor1.com, competitor2.com (--mode backlinks)
Track AI referral traffic for example.com over the last 90 days (--mode ai-referrals)
How much of my traffic comes from ChatGPT and Perplexity, and does it convert better than organic?
If no mode is given, infer it: link/anchor/toxic/referring-domain wording → backlinks; AI-assistant/ChatGPT/Perplexity/GA4-referral wording → ai-referrals. State the chosen mode in the first line of output.
Expected output: for backlinks, a backlink report (profile overview, quality/anchors/toxicity, competitive gap, change tracking) or delta summary; for ai-referrals, an AI-referral channel definition plus trend, top landing pages, and AI-vs-organic conversion. Both plus the standard handoff summary ready for memory/monitoring/.
backlinks — target domain, backlink/referring-domain exports, competitor domains, anchor data, any user-provided or tool metrics.ai-referrals — domain, date range, the user's GA4 export / Search Console data and/or server access logs, conversion event/goal, and any prior AI-traffic baseline in memory.memory/monitoring/.memory/open-loops.md (via status pending-decision; this skill does not write decisions.md directly).backlinks — referring domains, anchor mix, and toxic-link share are reported with each metric source-tagged (or N/A), the toxic ratio is computed, and at least 3 link-building or disavow actions are named.ai-referrals — the AI source list is explicit, every figure is source-tagged, AI sessions and conversion are compared to organic for the same window, and any movement is read against a control per the measurement protocol.test cases passed, vs 3 / 22 without
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