规划页面改动的A/B测试,从提出假设、确定指标,到估算样本量、测试时长和流量分配,并帮助解读结果、排序实验方案及记录持续改进中的经验。
- 比较标题或注册按钮
- 估算样本量和测试时长
- 检查结果及可能的不利影响
为购买者制作产品对比页和替代服务介绍页,整理价格、功能、适用人群与迁移方式,并检查现有内容是否过时、缺少依据或表述过度。
When the user wants to create competitor comparison or alternative pages for SEO and buyer-facing use. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' 'competitive landing pages,' 'how do we compare to X,' 'competitor teardown,' 'audit our competitor pages,' 'are our comparison pages out of date,' or 'competitive asset audit.' Use this for any content that positions your product against competitors. Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. For auditing existing claims (not researching competitors from scratch, which is competitor-profiling; not technical SEO on these pages, which is seo-audit), use the asset audit here. For internal battle cards and sales-specific competitor docs, see sales-enablement.
实测评分 未实测
查看安装方法此技能用于制作面向购买考虑者的产品对比页和替代服务介绍页,支持四种形式:单个替代方案、多个候选方案、自家产品与竞品对比、两个竞品之间的对比。它会整理价格、功能、适用人群和迁移方式,并汇总页面正文、对比表、网址及元标签建议。也可设计以 YAML 格式集中管理竞品信息的方案。
当您要制作包含竞品名称的搜索页面,或重新检查已有对比资料时,可以使用此技能。内容不仅列出功能有无,还会说明差异会怎样影响使用者。检查现有资料时,它会逐条整理主张的来源和确认日期,将内容分为已变更、无法确认、表述超出证据等类别,并提出修改文案。
如果没有指定竞品,现有资料也无法确定对象,技能会先询问竞品再继续。价格和功能信息会附上确认日期;仅仅没有找到某项功能的记载,并不代表产品没有该功能。无法访问的信息会标记为尚未确认。技术性 SEO 检查由 seo-audit 处理。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 根据 SKILL.md 的内容检查了需要注意的操作和使用前提。评分只依据实际运行的结果(实测对比)。
不计入评分。 由 AI(OpenAI Codex)于 2026年10月24日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
You are an expert in creating competitor comparison and alternative pages. Your goal is to build pages that rank for competitive search terms, provide genuine value to evaluators, and position your product effectively.
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Never guess the competitor. If the request doesn't name one and the context file doesn't identify it, ask, and stop there. Don't draft a polished page around the most likely candidate.
Before creating competitor pages, understand:
Your Product
Competitive Landscape
Goals
Comparison pages are public claims about another company. Every one should survive the competitor's own team reading it.
Search intent: User is actively looking to switch from a specific competitor
URL pattern: /alternatives/[competitor] or /[competitor]-alternative
Target keywords: "[Competitor] alternative", "alternative to [Competitor]", "switch from [Competitor]"
Page structure:
Search intent: User is researching options, earlier in journey
URL pattern: /alternatives/[competitor]-alternatives
Target keywords: "[Competitor] alternatives", "best [Competitor] alternatives", "tools like [Competitor]"
Page structure:
Important: Include 4-7 real alternatives. Being genuinely helpful builds trust and ranks better.
AI-answer expectations by stage: these pages often earn citations in AI answers, but whether AI recommends your brand from them depends on offsite consensus (reviews, forums, analysts) — for emerging brands, a self-ranked list can surface the competitors in the AI answer while you get only the citation. Still publish for search intent and category framing, but set expectations accordingly — see ai-seo's citations-vs-recommendations reference for the data.
Search intent: User is directly comparing you to a specific competitor
URL pattern: /vs/[competitor] or /compare/[you]-vs-[competitor]
Target keywords: "[You] vs [Competitor]", "[Competitor] vs [You]"
Page structure:
Search intent: User comparing two competitors (not you directly)
URL pattern: /compare/[competitor-a]-vs-[competitor-b]
Page structure:
Why this works: Captures search traffic for competitor terms, positions you as knowledgeable.
Start every page with a quick summary for scanners—key differences in 2-3 sentences.
Go beyond tables. For each dimension, write a paragraph explaining the differences and when each matters.
For each category: describe how each handles it, list strengths and limitations, give bottom line recommendation.
Include tier-by-tier comparison, what's included, hidden costs, and total cost calculation for sample team size.
Be explicit about ideal customer for each option. Honest recommendations build trust.
Cover what transfers, what needs reconfiguration, support offered, and quotes from customers who switched.
For detailed templates: See references/templates.md
Create a single source of truth for each competitor with:
For data structure and examples: See references/content-architecture.md
For each competitor, gather:
When asked to check existing competitive content for stale or risky claims, audit every asset that makes claims about competitors: vs and alternative pages, battle cards, talk tracks, objection docs, and comparison tables in decks.
Apply the Evidence Discipline rules above to every claim, including those in internal sales assets. Where several assets repeat one fact, fix it in the centralized competitor data so the fix carries through.
| Format | Primary Keywords |
|---|---|
| Alternative (singular) | [Competitor] alternative, alternative to [Competitor] |
| Alternatives (plural) | [Competitor] alternatives, best [Competitor] alternatives |
| You vs Competitor | [You] vs [Competitor], [Competitor] vs [You] |
| Competitor vs Competitor | [A] vs [B], [B] vs [A] |
Consider FAQ schema for common questions like "What is the best alternative to [Competitor]?"
Complete competitor profile in YAML format for use across all comparison pages.
For each page: URL, meta tags, full page copy organized by section, comparison tables, CTAs.
Recommended pages to create with priority order based on search volume.
Claims checked per asset, status counts (current / changed / unverifiable / overclaimed), and a prioritized fix list with replacement wording.
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规划页面改动的A/B测试,从提出假设、确定指标,到估算样本量、测试时长和流量分配,并帮助解读结果、排序实验方案及记录持续改进中的经验。
为不同广告平台撰写标题、正文及静态或视频创意方案。结合投放表现和顾客反馈拓展文案,检查格式限制,并制定可衡量的测试假设,用于下一轮优化。
为 Google Ads、Meta、LinkedIn 等平台规划和复核付费广告,整理受众、预算、竞价策略,并依据获客成本和销售数据评估效果,区分已知事实、假设与缺失信息。
调查品牌在AI搜索回答中的展示和引用情况,检查内容结构、依据与网站访问设置,整理改进方向,帮助AI系统获取关键信息。
为营销和产品决策规划并验证数据追踪,定义事件、配置 GA4 和 Google Tag Manager、统一活动链接的 UTM 命名,并按相同时间段计算指标。
检查 App Store 或 Google Play 的应用页面,从六个方面评分,并给出总分、按优先级排列的文案与图片视频改进建议,也可比较竞品。