跳到正文
cccskills
免费在 GitHub 公开

icp-website-audit

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.

中文简介正在准备中。当前显示原文说明。

实测评分 未实测

查看安装方法

包含的文件(2)

  • SKILL.md11.1 KB
  • skill.meta.json311 B

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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.

Quick Start

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].

Inputs

InputRequiredSource
Company nameYesUser provides
Company URLYesUser provides
Competitor URLsYes (1-3)User provides, or discovered in Phase 1
Client context fileOptionalclients/<client>/context.md
Existing personasOptionalclients/<client>/personas/personas.json

Step-by-Step Process

Phase 1: Persona Setup

Check if personas already exist:

clients/<client>/personas/personas.json

If 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:

  1. Research the company — what they sell, who they serve, pricing model, stage
  2. Identify 4-6 ICP segments from website, case studies, reviews, job postings
  3. Build detailed synthetic personas with full profiles
  4. Save to 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)

Phase 2: Website Scorecard Review

Run icp-website-audit in scorecard mode against the client's own site.

  1. Crawl the client's site — homepage, pricing, product, solutions, about, case studies, blog, docs
  2. Check external presence — search results, review sites, social proof
  3. Run each persona through the site, scoring on:
    • First Impression (1-10)
    • Messaging Relevance (1-10)
    • Trust & Credibility (1-10)
    • Clarity & Navigation (1-10)
    • Objection Handling (1-10)
    • Overall (1-10)
  4. Cross-persona synthesis — consensus issues, segment-specific gaps, messaging disconnects

Output from this phase:

  • Per-persona scored reviews
  • Cross-persona analysis
  • Initial recommendations

Phase 3: Competitive Head-to-Head

Run icp-website-audit in head-to-head mode against each competitor.

For each competitor (1-3):

  1. Crawl the competitor's site — same pages as the client site
  2. Run each persona through BOTH sites
  3. Per-persona comparison:
    • Quick takes on each site
    • Dimension-by-dimension scoring for both
    • "If I had to choose today..." verdict
    • What the client should steal from the competitor
    • What the client does better
  4. Cross-persona competitive summary:
    • Where the client wins across personas
    • Where the competitor wins across personas
    • At-risk segments (personas who lean toward competitor)
    • Priority competitive moves

Output from this phase:

  • Per-competitor, per-persona head-to-head reviews
  • Competitive positioning map
  • At-risk segments identified

Phase 4: Consolidated Report

Merge all findings into a single audit report. This is the deliverable.

Synthesis work:

  1. Combine scorecard + competitive findings — scorecard shows absolute quality, head-to-head shows relative positioning. Both perspectives matter.
  2. Identify the "so what" — what are the 3-5 moves that would make the biggest difference?
  3. Rank recommendations by:
    • How many personas it affects (breadth)
    • How much it would change conversion likelihood (depth)
    • Whether competitors already do it better (urgency)
    • Estimated effort (feasibility)
  4. Flag at-risk segments — ICPs where competitors are winning. These need immediate attention.

Output

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)

Consolidated Report Template

# 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`

Parallelization

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 → Consolidate

Tips

  • Start with 1-2 competitors, not 5. Each competitor adds a full head-to-head evaluation pass. Start focused, add more if needed.
  • The at-risk segments are the most actionable finding. If a persona consistently prefers a competitor, that's an ICP segment you're actively losing deals in. That should drive urgency.
  • Reuse this quarterly. Run personas once, then re-run the audit after site changes or quarterly to track improvement. Compare scores across dates.
  • Combine with SEO content audit for the full picture. ICP audit tells you "does the messaging work for buyers?" SEO audit tells you "are buyers finding you in the first place?" Together they cover the full funnel.
  • This makes a great client deliverable. The consolidated report is structured for sharing. Use content-asset-creator to make it into a polished HTML report.
  • Don't skip the competitive analysis. The scorecard alone is useful, but the head-to-head is where the real insights are. Buyers always compare — your audit should too.

Dependencies

  • Skills: buyer-persona-generator, icp-website-audit
  • Web search capability (for research, external presence checks)
  • Web fetch capability (for reading website pages)
  • No API keys or paid tools required

Cost

Free — no paid APIs. All research and evaluation is done via web search and web fetch.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Research supported advertising promises from a specific buyer's context, current product facts, customer language and observed ads. Turn them into static, video or copy ideas; match video ideas to actual recipes and save a product-scoped angle bank for write-video-ad-script. Product-led discovery can use verified facts without reviews. Reference persistence and reach are observations, not proof of performance.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12652026年10月24日 更新

Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12652026年10月24日 更新

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.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12652026年10月24日 更新

The intake stage of a Meta ad harness. Researches the brand first, states what it assumes, and asks only what it cannot infer and what would change money, claims or legal exposure if guessed wrong — at most four questions a turn, in plain business language. Writes the brand's stable facts (ads/brand.md), the campaign brief, and a log of what was asked vs assumed. Use it when someone wants to run Meta ads and the brand's ad facts are not yet recorded.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12652026年10月24日 更新

Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the copy, on-image or on-screen text, pictures and people. Rewrites what can be fixed honestly, adds the disclosures that are needed, and flags anything that needs a human or legal review, with one pass, fixed or flag line per ad and platform. Use alone when you already have the ad text or images and know where they will run; otherwise run the playbook for the job (e.g. make-static-ads, make-content, email-lifecycle).

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12652026年10月24日 更新

Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12652026年10月24日 更新

查看 gooseworks-ai 的全部技能

报告此技能的问题