AI & LLM Skill
Agent Eval Suite Langsmith
Production agent eval suite LangSmith dataset curation + Promptfoo assertion framework +…
$15
GPT & Perplexity Prompt Trace
AI Search Forensic Intelligence
A forensic intelligence layer for AI search that reverse-engineers which prompts cite which of your pages across ChatGPT, Perplexity, Claude, Gemini, and AI Overviews. Where standard analytics go dark on AI referrals, this builds a reverse citation index and a winning-prompt catalog, telling you exactly which question formulas earn citations and which ones leave a content gap. It is the difference between knowing your citation rate and knowing what to write next.
$15 one-time
Add to a kit → Prices include 20% VAT. · Forged on real agency work · one-time, no lock-in
- Type Skill
- Category AI & LLM
- Delivery Email · instant
- License One-time
Inside the run · no black box
See the actual work before you buy it.
Which prompts get your pages cited by AI engines stops being a guess. Every week a prompt catalog fires at five engines, each citation lands in a fingerprint database, and statistics separate winning patterns from losing ones.
- Builds a prompt catalog from 5 intent types (definition, how-to, comparison, best-of, troubleshooting) crossed with target entities, each prompt carrying 3-10 wording variations to catch phrasing-dependent behavior
- Fires the batch at five engines (ChatGPT, Perplexity, Claude, Gemini, AI Overviews) under rate-limit-aware concurrency; engines without an API get scraped through a headless browser
- Logs every response as a fingerprint record: which URLs were cited, at what position, in what sentiment context, written append-only so a run can never corrupt history
- Builds the reverse index in the database so a single query answers which prompts cite this page, with position-weighted scoring because a first-position cite carries roughly 5x the traffic of a fifth
- Runs win/loss cohort statistics (chi-square, Mann-Whitney) across prompt features to prove which patterns actually trigger citations, instead of guessing
- Diffs weekly snapshots against the prior week, alerts on 15%+ citation loss, and ships the winning and losing prompt tables as the next sprint's content brief
One power source. 6 lines out.
gpt-perplexity-prompt-trace · core
core active · 6 lines
- ✓ reverse-trace the prompts
Reverse-trace the prompts that cite a specific page
- ✓ build a per-page winning…
Build a per-page winning-prompt catalog across multiple engines
- ✓ win/loss cohort analysis
Win/loss cohort analysis to find which intent types earn citations
- ✓ content gap discovery from
Content gap discovery from prompts that fail to cite you
- ✓ competitor citation trac…
Competitor citation tracking when an engine cites them instead
- ✓ weekly citation diff to
Weekly citation diff to catch losses after model updates
Yours to keep.
Drag time forward. Watch what stays.
Forever
That's what owning means.
The rented stack
ai writing tool: subscription
expired · access lostanalytics suite: subscription
expired · access lostdesign platform: subscription
expired · access lost(nothing left)
Your forge
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Turn vague AI-search visibility into a concrete sprint brief
license: perpetual -
Find the exact question types and formats that trigger citations
license: perpetual -
Spot citation loss early after AI engine model refreshes
license: perpetual -
Give clients a tangible 'cited by N prompts this week' value signal
license: perpetual
subscriptions expire · deeds don't
Everything in the box.
Pick a piece up. Watch it work.
Prompt fingerprint JSON schema with intent type, entity focus, and format request
6 parts · one working system · ships instantly by email
This wasn't forged for everyone.
- Not for you if you'd rather rent a tool than own one.
- Not for you if you want someone else to run your stack.
- Not for you if you're happy guessing.
For SEO and AEO teams managing many pages who need to know not just whether AI engines cite them, but exactly which prompts to win next.
then this was forged for you.Works with
Universal by design: these run in any AI. Delivered in the open Agent Skills + MCP format (native in Claude); ChatGPT, Gemini, Cursor and Copilot adapt the same files their own way.
- Claude Native format
- ChatGPT Adapts via open standards
- Gemini Adapts via open standards
- Cursor Adapts via open standards
- Copilot Adapts via open standards
Catch what's on your mind.
the air is clear. nothing between you and the forge.
catch a spark: the forge will answer
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We mostly care about Google AI Overviews, is that covered?
Yes. Tracing runs across five engines: ChatGPT, Perplexity, Claude, Gemini, and AI Overviews: and the per-page winning-prompt catalog is built engine by engine, so you can read the AI Overviews results in isolation.
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AI engines don't report referrals, so how can you know which prompts cite us?
You define a fingerprinted prompt catalog and the batch runner executes it against the engines via Playwright and APIs, writing results into a PostgreSQL reverse citation index. It's a controlled experiment you run yourself, not access to anyone's hidden data.
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Does it show what real users actually type into ChatGPT?
No, that data isn't available to anyone. What it shows is which question types in your own prompt set earn citations for your pages, and which ones reveal a content gap to write against.
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How is it delivered?
By email right after purchase: ready to run, downloaded instantly, no setup wait.
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One-time or subscription?
A one-time purchase; no subscription or hidden fees. VAT (20%) is included.
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Can I get a refund?
As a digital product, it can’t be refunded once downloaded. That’s why we show exactly what’s inside and who it’s for, right here.