End-to-end website audit through ICP eyes. Builds synthetic personas (if they don't already exist), runs a structured scorecard review of the client's site, then runs a head-to-head competitive comparison against top competitors. Produces a single consolidated report with persona feedback, competitive positioning, and prioritized recommendations. The complete "how do our buyers actually experience our site vs the competition?" workflow.
npx gooseworks install --claude # Then in your agent: /gooseworks <prompt> --skill icp-website-audit
The complete "how do buyers experience our site vs the competition?" workflow. Chains persona building, website evaluation, and competitive comparison into a single end-to-end audit.
Run an ICP website audit for [company]. Site: [url]. Compare against [competitor 1] and [competitor 2].With existing personas:
Run an ICP website audit for [client]. Personas already exist. Compare against [competitor urls].| Input | Required | Source |
|---|---|---|
| Company name | Yes | User provides |
| Company URL | Yes | User provides |
| Competitor URLs | Yes (1-3) | User provides, or discovered in Phase 1 |
| Client context file | Optional | clients/<client>/context.md |
| Existing personas | Optional | clients/<client>/personas/personas.json |
Check if personas already exist:
clients/<client>/personas/personas.jsonIf personas exist: Load them, confirm they look current, and list them for the user. Skip to Phase 2.
If no personas exist: Run buyer-persona-generator:
clients/<client>/personas/Output from this phase:
clients/<client>/personas/personas.json (machine-readable)clients/<client>/personas/personas.md (human-readable)clients/<client>/personas/segments.md (summary table)Run icp-website-audit in scorecard mode against the client's own site.
Output from this phase:
Run icp-website-audit in head-to-head mode against each competitor.
For each competitor (1-3):
Output from this phase:
Merge all findings into a single audit report. This is the deliverable.
Synthesis work:
Save to the current working directory as icp-website-audit.md (or user-specified path).
Also save the sub-reports to the current working directory:
personas/ (persona assets, reusable)icp-reviews/<date>-scorecard.md (site review)icp-reviews/<date>-head-to-head-<competitor>.md (per competitor)# ICP Website Audit: [Company Name]
**Date:** [Date]
**Website:** [url]
**Competitors:** [competitor 1], [competitor 2], [competitor 3]
**Personas used:** [N] (from `clients/<client>/personas/`)
---
## Executive Summary
[5-7 sentences. How do buyers actually experience this site? What's working, what's
broken, where are competitors winning? Top 3 things to fix and why.]
### Scorecard Overview
**Average score across personas: [X/10]**
| Persona | Segment | Own Site Score | Would Convert? |
|---------|---------|:-:|:-:|
| [Name] | [Segment] | [X/10] | [Yes/Maybe/No] |
| ... | ... | ... | ... |
### Competitive Overview
| Persona | Own Site | [Comp 1] | [Comp 2] | Pick |
|---------|:-------:|:--------:|:--------:|:----:|
| [Name] | [X/10] | [X/10] | [X/10] | [Winner] |
| ... | ... | ... | ... | ... |
**Personas at risk:** [Names of personas who preferred a competitor — these represent ICP segments you may be losing]
---
## Part 1: ICP Segments & Personas
### Segments Identified
| # | Segment | Description | Priority |
|---|---------|-------------|----------|
| 1 | [Name] | [One line] | Primary |
| 2 | [Name] | [One line] | Primary |
| 3 | [Name] | [One line] | Secondary |
| ... | | | |
### Persona Summaries
[2-3 sentence summary of each persona — who they are, what they care about, how they evaluate. Link to full profiles in `personas/personas.md`.]
---
## Part 2: Website Scorecard
### Score Matrix
| Dimension | [P1] | [P2] | [P3] | [P4] | [P5] | Avg |
|-----------|:----:|:----:|:----:|:----:|:----:|:---:|
| First Impression | | | | | | |
| Messaging Relevance | | | | | | |
| Trust & Credibility | | | | | | |
| Clarity & Navigation | | | | | | |
| Objection Handling | | | | | | |
| **Overall** | | | | | | |
### Persona-by-Persona Highlights
For each persona, include:
- **[Persona Name]** ([Score]/10) — [One sentence summary]. Liked: [key positive]. Frustrated by: [key negative]. Blocker: [#1 thing stopping conversion].
### Cross-Persona Findings
#### Consensus Issues (All Personas)
1. [Issue] — [Why it matters]
2. ...
#### Segment-Specific Gaps
| Gap | Personas Affected | Impact |
|-----|------------------|--------|
| [Gap] | [Names] | [H/M/L] |
#### Messaging Disconnects
| Site says | Buyers say | Personas |
|-----------|-----------|----------|
| "[quote]" | "[quote]" | [Names] |
---
## Part 3: Competitive Analysis
### vs [Competitor 1]
**Overall: [Company wins / Competitor wins / Split]**
| Dimension | [Company] | [Competitor] | Winner |
|-----------|:---------:|:------------:|:------:|
| First Impression | [avg] | [avg] | |
| Messaging | [avg] | [avg] | |
| Trust | [avg] | [avg] | |
| Clarity | [avg] | [avg] | |
| Objections | [avg] | [avg] | |
| **Overall** | **[avg]** | **[avg]** | |
**Where competitor wins:**
- [Specific advantage, which personas care]
**Where we win:**
- [Specific advantage, which personas care]
**Personas who'd choose competitor:** [Names — these are at-risk segments]
---
### vs [Competitor 2]
[Same structure]
---
### Competitive Position Map
| Persona | Best Experience | Worst Experience | Notes |
|---------|:-:|:-:|---|
| [P1] | [Company/Comp] | [Company/Comp] | [Why] |
| [P2] | ... | ... | ... |
### At-Risk Segments
[Personas who preferred competitors. For each: which competitor, why, and what it would take to win them back.]
### Competitive Advantages to Amplify
[Things the company does better than ALL competitors — lean into these.]
### Gaps to Close
[Things competitors do better across most personas — neutralize these.]
---
## Part 4: Prioritized Recommendations
### Tier 1: High Impact, Do Now
These affect the most personas and/or address competitive gaps.
1. **[Recommendation]**
- **Why:** [Evidence from scorecard + competitive analysis]
- **Personas affected:** [Names]
- **Competitive context:** [Do competitors already do this better?]
- **Expected impact:** [What changes — conversion, trust, clarity]
- **Effort:** [Low/Med/High]
2. **[Recommendation]**
...
### Tier 2: Medium Impact, Plan For
3. **[Recommendation]**
...
### Tier 3: Segment-Specific Optimizations
These improve experience for specific ICP segments.
5. **[Recommendation]** — For [persona/segment]
...
### Quick Wins
- [Small change] → Benefits [persona]
- [Small change] → Benefits [persona]
---
## Appendix
### A. Full Persona Profiles
→ `clients/<client>/personas/personas.md`
### B. Detailed Scorecard Review
→ `clients/<client>/icp-reviews/<date>-scorecard.md`
### C. Detailed Competitive Reviews
→ `clients/<client>/icp-reviews/<date>-head-to-head-<competitor>.md`
### D. Persona Data (JSON)
→ `clients/<client>/personas/personas.json`Some phases can run in parallel to save time:
Phase 1: Build personas (if needed)
↓
Phase 2 + Phase 3 can partially overlap:
- Crawl all sites (client + competitors) at once
- Run scorecard first (client site only)
- Then run head-to-heads (reuse client crawl data)
↓
Phase 4: Consolidate (needs all prior phases)If personas already exist, the whole workflow is just:
Crawl all sites → Scorecard → Head-to-heads → Consolidatecontent-asset-creator to make it into a polished HTML report.buyer-persona-generator, icp-website-auditFree — no paid APIs. All research and evaluation is done via web search and web fetch.
clients/<client>/personas/personas.json (machine-readable)clients/<client>/personas/personas.md (human-readable)clients/<client>/personas/segments.md (summary table)Diagnose Meta Ads campaign performance using Meta's actual system mechanics — Breakdown Effect, Learning Phase, Auction Overlap, Pacing, and Creative Fatigue — and produce structured, testable recommendations that avoid judging segments by average CPA instead of marginal efficiency.
Pre-flight policy check for Meta ads. Takes ad copy plus advertiser context, resolves and fetches the relevant Meta transparency-center policy pages at runtime, and returns a Pass / Fix Required / Block verdict with cited findings and rewrites.
For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.