Evaluate a website, landing page, content, or any online asset through the eyes of pre-built synthetic ICP personas. Loads personas from buyer-persona-generator output, then runs them against target URLs. Supports three modes: structured scorecard, freeform focus group, and head-to-head competitive comparison. Reusable — run against the same site after changes, or against new content anytime.
npx gooseworks install --all # then, in Claude Code, Cursor, or Codex: /gooseworks use the icp-website-review skill
Evaluate any online asset through the eyes of pre-built synthetic ICP personas. This is the evaluation engine — it loads personas created by buyer-persona-generator and runs them against whatever you point it at.
Personas must exist at clients/<client>/personas/personas.json. If they don't, run buyer-persona-generator first.
Structured scorecard (default):
Review [company]'s website using their ICP personas. Site: [url].Freeform focus group:
Run a focus group on [company]'s new landing page: [url]. Use focus-group mode.Head-to-head competitive:
Compare [company]'s site ([url]) against [competitor] ([url]) through ICP personas.| Input | Required | Source |
|---|---|---|
| Personas | Yes | clients/<client>/personas/personas.json |
| Target URL(s) | Yes | User provides |
| Mode | No | scorecard (default), focus-group, or head-to-head |
| Competitor URL(s) | For head-to-head | User provides |
| Specific pages | No | Default: homepage + key pages discovered during crawl |
| Scope | No | full-site (default) or specific page URL for a single-page review |
Rigorous, dimension-by-dimension evaluation with numerical scores. Best for:
Each persona reacts naturally — stream of consciousness, emotional reactions, questions they'd have, things that confuse them. No rigid scoring. Best for:
Each persona evaluates your site AND a competitor's site, then picks a winner with reasoning. Best for:
Read clients/<client>/personas/personas.json. Confirm:
Fetch the key pages each persona would realistically visit:
Use WebFetch for each page. Extract main content, headlines, CTAs, and overall structure. Note what's present and what's missing.
Also check external presence:
For head-to-head mode, crawl the same pages on the competitor site.
For each persona, evaluate on these dimensions:
A) First Impression (10 seconds)
B) Messaging Relevance
C) Trust & Credibility
D) Clarity & Information Architecture
E) Objection Handling
F) Overall Verdict
For each persona, produce a natural, first-person reaction. No rigid structure — let the persona talk.
Prompt each persona with:
You are [persona name], [title] at [company type]. [Situation summary]. You just landed on this website. React naturally — what do you notice first? What confuses you? What excites you? What makes you skeptical? Would you keep exploring or bounce? If you stayed, where would you go next? What questions do you need answered before you'd take action?
Guidelines:
After all personas react, synthesize common themes and divergent opinions.
For each persona, evaluate BOTH sites, then compare.
Structure per persona:
| Dimension | Site A | Site B | Winner |
|---|---|---|---|
| First Impression | [X/10] | [X/10] | [A/B/Tie] |
| Messaging Relevance | [X/10] | [X/10] | [A/B/Tie] |
| Trust & Credibility | [X/10] | [X/10] | [A/B/Tie] |
| Clarity & Navigation | [X/10] | [X/10] | [A/B/Tie] |
| Objection Handling | [X/10] | [X/10] | [A/B/Tie] |
| Overall | [X/10] | [X/10] | [A/B/Tie] |
After all personas, produce a cross-persona competitive summary:
Regardless of mode, always produce:
Save to clients/<client-name>/icp-reviews/<date>-<mode>.md
This path allows multiple reviews over time — tracking improvements, comparing before/after redesigns, or accumulating competitive intel.
# ICP Website Review: [Company Name]
**Date:** [Date] | **Mode:** Scorecard | **URL:** [website]
**Pages analyzed:** [N] | **Personas used:** [N]
**Personas from:** `clients/<client>/personas/personas.json` (created [date])
---
## Executive Summary
[3-5 sentences: overall assessment, biggest strengths, biggest gaps, top 3 recs]
**Average score: [X/10]**
| Persona | Segment | Score | Would Convert? |
|---------|---------|:-----:|:-:|
| [Name] | [Segment] | [X/10] | [Yes/Maybe/No] |
| ... | ... | ... | ... |
---
## Persona Reviews
### [Persona Name]'s Review
**Arriving with:** [Their situation and buying trigger]
| Dimension | Score | Summary |
|-----------|:-----:|---------|
| First Impression | [X/10] | [One line] |
| Messaging Relevance | [X/10] | [One line] |
| Trust & Credibility | [X/10] | [One line] |
| Clarity & Navigation | [X/10] | [One line] |
| Objection Handling | [X/10] | [One line] |
| **Overall** | **[X/10]** | **[One line]** |
**Liked:**
- [Specific, with reference from the site]
**Frustrated by:**
- [Specific, with explanation of why THIS persona cares]
**Wished they could find:**
- [Missing content/info, why they need it]
**Verdict:** [Would they convert? #1 blocker?]
---
[Repeat for each persona]
---
## Cross-Persona Analysis
### Consensus Issues
1. [Issue] — [Why it matters]
### Segment-Specific Gaps
| Gap | Affected Personas | Impact |
|-----|------------------|--------|
| [Gap] | [Names] | [High/Med/Low] |
### Messaging Disconnects
| Site says | Buyers say | Affected |
|-----------|-----------|----------|
| "[quote]" | "[quote]" | [Names] |
### Strengths to Preserve
- [What works]
---
## Prioritized Recommendations
### High Impact
1. **[Rec]** — Affects: [personas]. Current: [X]. Target: [Y].
### Medium Impact
2. **[Rec]**
### Quick Wins
- [Small changes]
---
## Score Matrix
| Dimension | [P1] | [P2] | [P3] | [P4] | Avg |
|-----------|:----:|:----:|:----:|:----:|:---:|
| First Impression | | | | | |
| Messaging | | | | | |
| Trust | | | | | |
| Clarity | | | | | |
| Objections | | | | | |
| **Overall** | | | | | |# ICP Focus Group: [Company Name]
**Date:** [Date] | **Mode:** Focus Group | **URL:** [website]
**Personas used:** [N]
---
## Executive Summary
[What the group collectively thought — 3-5 sentences]
---
## Persona Reactions
### [Persona Name] — [Title]
> [First-person narrative reaction, 200-400 words. Natural voice, emotional, specific.]
**Gut verdict:** [One sentence — interested/skeptical/confused/gone]
---
[Repeat for each persona]
---
## Group Synthesis
### What everyone noticed
- [Theme]
### Where opinions split
| Topic | [P1] take | [P2] take |
|-------|-----------|-----------|
### Strongest reactions (positive)
- [What got the most enthusiasm, from whom]
### Strongest reactions (negative)
- [What got the most criticism, from whom]
### What nobody could answer
- [Questions the site left unanswered]
---
## Recommendations
[Prioritized, grouped by theme]# Competitive Review: [Company] vs [Competitor]
**Date:** [Date] | **Mode:** Head-to-Head
**Site A:** [url] | **Site B:** [url]
**Personas used:** [N]
---
## Executive Summary
**Overall winner: [A/B/Split]**
[3-5 sentences on where each site wins and loses]
| Persona | Segment | Site A | Site B | Pick |
|---------|---------|:------:|:------:|:----:|
| [Name] | [Segment] | [X/10] | [X/10] | [A/B] |
| ... | ... | ... | ... | ... |
---
## Persona Comparisons
### [Persona Name]
**Site A quick take:** [3-5 bullets]
**Site B quick take:** [3-5 bullets]
| Dimension | A | B | Winner |
|-----------|:-:|:-:|:------:|
| ... | | | |
**"If I had to choose..."** [Persona's verdict in their own words]
**What A should steal from B:** [Specific]
**What A does better:** [Specific]
---
[Repeat for each persona]
---
## Competitive Summary
### Where [Company] wins across personas
- [Advantage, which personas care]
### Where [Competitor] wins across personas
- [Advantage, which personas care]
### At-risk segments
[Personas who lean toward competitor — these ICPs may be churning or not converting]
### Priority moves
1. **Neutralize:** [Competitor advantage to close the gap on]
2. **Amplify:** [Your advantage to lean into harder]
3. **Differentiate:** [Unique angle neither site owns yet]Since personas are saved separately, you can re-run this skill anytime:
Re-run the ICP website review for [client]. Use the existing personas.Compare results across dates to track improvement:
Compare today's ICP review for [client] against the one from [date].The dated output path (icp-reviews/<date>-<mode>.md) makes it easy to see the history of reviews and how scores change over time.
buyer-persona-generator output)Assemble an expert/educator motion-graphic LISTICLE video ad from a config — a spoken authoritative voiceover carries a numbered listicle while N web-animated hyperframe beats (HTML plus the Web Animations API, one branded design system of alternating tiles, big hero numerals, and glass-pill callouts) are rendered frame-by-frame via Playwright and anchored to the VO's word-level timestamps, periodic color-graded B-roll windows give visual breath, and captions burn ONLY inside those B-roll windows (2-word chunks, ASS Format header carrying a Name field so none drop) with the VO mixed under a low music bed. This is the FREE deterministic assembly stage (Playwright beat render plus ffmpeg concat plus window-masked caption burn plus VO-and-music mix plus final composite) — the VO, the music bed, and the stock B-roll come from create-vo-elevenlabs, create-music-elevenlabs, and media-proxy. Use for the vo-anchored-motion-listicle format.
Assemble a stop-motion hand-swatch-cycle product-demo ad from a config — a sequence of still PLATES (one hand swiping a single-barrel cosmetic across a cream skin-patch, the barrel + swatch changing per plate while the hand, background, crop, and lighting stay locked) is PNG→mp4 loop-encoded at each plate's own stop-motion hold (fast motion frames 150–250ms, per-shade ~380ms, hero beats 1100–1800ms), concat-demuxed with HARD cuts into a silent master, closed on a Playwright HTML-rendered branded end card (serif tagline + sans subtitle + real logo SVG over a hero BG, never AI-rendered text), and muxed with a pre-sourced music track playing under the end card with a fade tail (no VO). This is the FREE deterministic assembly stage (loop-encode + concat-demux + end-card render + music mux); the master-anchor plate, shade plates, and end-card BG come from create-image-gpt-image-fal and the track from create-music-elevenlabs. Use for the stopmotion-hand-swatch-cycle format.
Assemble a split-screen creator ad from a config — a two-zone vertical composite where a supplied AI-creator lip-sync take fills the BOTTOM ~48% while real 16:9 product/demo clips run uncropped in the TOP ~52%, each top clip contain-fit with a darkened blurred cover-scale fill of the same clip (never black bars), a 3px brand-color divider between the zones, the creator slice cover-fit per the per-scene VO timing, scenes hard-concatenated with the body audio being the concatenated creator VO slices, an end card held on the last sharp frame ~3s, then the ASSEMBLED cut transcribed with local Whisper (not the raw VO — concat drops inter-scene silence) and word-level captions burned in the chosen style. This is the FREE deterministic assembly + caption stage (two-zone composite + blurred fill + divider + hard-concat + end card + captions); the VO comes from create-vo-elevenlabs, the anchor from create-image-gpt-image-fal, and the whole-VO lip-sync from a paid VEED Fabric 1.0 take (a no-atom upstream input). Use for the split-screen-creator format.