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Competitor Pages

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indranilbanerjee
competitor-pages

Build competitor comparison pages: X-vs-Y, alternatives and roundups, with schema. "create a vs page"

Overview

Publisherindranilbanerjee
Repositorydigital-marketing-pro
Skill namecompetitor-pages
Stars
866
Forks
138
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by indranilbanerjee on GitHub. Read the source before you install it.

Installation

Install the Competitor Pages AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/competitor-pages
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro.git /tmp/digital-marketing-pro
mkdir -p .claude/skills
cp -r /tmp/digital-marketing-pro/skills/competitor-pages .claude/skills/competitor-pages
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competitor Pages in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Competitor Pages on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Competitor Pages is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

/digital-marketing-pro:competitor-pages

Purpose

Create high-converting competitor comparison and alternatives pages that target competitive intent keywords with accurate, structured content and appropriate schema markup.

Input Required

The user must provide (or will be prompted for):

  • Page type: "X vs Y", "alternatives to X", "best tools roundup", or "comparison table"
  • Your product/service: The product being positioned
  • Competitors: 1-5 competitor products to compare against
  • Comparison criteria: Features, pricing, use cases to compare (or auto-detected)
  • Target audience: Who is making this purchase decision

Page Types

1. "X vs Y" Comparison Pages

  • Direct head-to-head comparison between two products/services
  • Balanced feature-by-feature analysis
  • Clear verdict or recommendation with justification
  • Target keyword: [Product A] vs [Product B]

2. "Alternatives to X" Pages

  • List of alternatives to a specific product/service
  • Each alternative with brief summary, pros/cons, best-for use case
  • Target keyword: [Product] alternatives, best alternatives to [Product]

3. "Best [Category] Tools" Roundup Pages

  • Curated list of top tools/services in a category
  • Ranking criteria clearly stated
  • Target keyword: best [category] tools [year], top [category] software

4. Comparison Table Pages

  • Feature matrix with multiple products in columns
  • Sortable/filterable layout recommendations
  • Target keyword: [category] comparison, [category] comparison chart

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice and compliance rules. Check for brand guidelines — especially restrictions on competitor mentions.
  2. Research competitors: Gather feature data, pricing, positioning from public sources. Verify all claims.
  3. Generate comparison structure: Feature matrix, content outline, section order
  4. Apply schema markup: Product, SoftwareApplication, or ItemList JSON-LD depending on page type (via schema-generator.py --type <Type> — AggregateRating is not a standalone --type; it is a nested field inside Product, as shown in the Product template below)
  5. Optimize for conversion: CTA placement strategy, social proof sections, pricing highlights
  6. Apply fairness guidelines: Accuracy verification, source citations, affiliation disclosure
  7. Keyword optimization: Primary and secondary keyword targeting, title tag formulas, H1 patterns
  8. Internal linking strategy: Cross-link between related comparison pages, feature pages, case studies

Comparison Table Template

| Feature          | Your Product | Competitor A | Competitor B |
|------------------|:------------:|:------------:|:------------:|
| Feature 1        | ✅           | ✅           | ❌           |
| Feature 2        | ✅           | ⚠️ Partial   | ✅           |
| Feature 3        | ✅           | ❌           | ❌           |
| Pricing (from)   | $X/mo        | $Y/mo        | $Z/mo        |
| Free Tier        | ✅           | ❌           | ✅           |

Data Accuracy Requirements

  • All feature claims must be verifiable from public sources
  • Pricing must be current (include "as of [date]" note)
  • Update frequency: review quarterly or when competitors ship major changes
  • Link to source for each competitor data point where possible

Schema Markup Templates

Product with AggregateRating (for X vs Y pages)

json
{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "[Product Name]",
  "description": "[Product Description]",
  "brand": { "@type": "Brand", "name": "[Brand Name]" },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "[Rating]",
    "reviewCount": "[Count]",
    "bestRating": "5",
    "worstRating": "1"
  }
}

SoftwareApplication (for software comparisons)

json
{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "[Software Name]",
  "applicationCategory": "[Category]",
  "operatingSystem": "[OS]",
  "offers": { "@type": "Offer", "price": "[Price]", "priceCurrency": "USD" }
}

ItemList (for roundup pages)

json
{
  "@context": "https://schema.org",
  "@type": "ItemList",
  "name": "Best [Category] Tools [Year]",
  "itemListOrder": "https://schema.org/ItemListOrderDescending",
  "numberOfItems": "[Count]",
  "itemListElement": [
    { "@type": "ListItem", "position": 1, "name": "[Product Name]", "url": "[Product URL]" }
  ]
}

Keyword Targeting

Comparison Intent Patterns

PatternExampleVolume Signal
[A] vs [B]"Slack vs Teams"High
[A] alternative"Figma alternatives"High
[A] alternatives [year]"Notion alternatives 2026"High
best [category] tools"best project management tools"High
[A] vs [B] for [use case]"AWS vs Azure for startups"Medium
[A] vs [B] pricing"HubSpot vs Salesforce pricing"Medium
is [A] better than [B]"is Notion better than Confluence"Medium

Title Tag Formulas

  • X vs Y: [A] vs [B]: [Key Differentiator] ([Year])
  • Alternatives: [N] Best [A] Alternatives in [Year] (Free & Paid)
  • Roundup: [N] Best [Category] Tools in [Year], Compared & Ranked

Conversion-Optimized Layouts

CTA Placement

  • Above fold: Brief comparison summary with primary CTA
  • After comparison table: "Try [Your Product] free" CTA
  • Bottom of page: Final recommendation with CTA
  • Avoid aggressive CTAs in competitor description sections (reduces trust)

Social Proof Sections

  • Customer testimonials relevant to comparison criteria
  • G2/Capterra/TrustPilot ratings (with source links)
  • Case studies showing migration from competitor
  • "Switched from [Competitor]" stories

Trust Signals

  • "Last updated [date]" timestamp
  • Author with relevant expertise
  • Methodology disclosure
  • Disclosure of own product affiliation
  • Balanced presentation — acknowledge competitor strengths honestly

Fairness Guidelines

  • Accuracy: All competitor information must be verifiable from public sources
  • No defamation: Never make false or misleading claims about competitors
  • Cite sources: Link to competitor websites, review sites, or documentation
  • Timely updates: Review and update when competitors release major changes
  • Disclose affiliation: Clearly state which product is yours
  • Balanced presentation: Acknowledge competitor strengths honestly
  • Pricing accuracy: Include "as of [date]" disclaimers on all pricing data

Output

A structured competitor comparison page package containing:

  • Page content template (minimum 1,500 words) with all sections
  • Feature matrix table
  • Schema markup (JSON-LD) appropriate to page type
  • Primary and secondary keywords with title tag and H1 recommendations
  • Internal linking plan (cross-link to related comparisons, feature pages, case studies)
  • Conversion optimization recommendations
  • Content gap analysis vs existing competitor pages

Agents Used

  • seo-specialist — Keyword targeting, schema markup, on-page optimization
  • content-creator — Comparison content writing, brand voice application
  • competitive-intel — Competitor feature and pricing research
  • brand-guardian — Ensure compliance with brand guidelines on competitor mentions

Scripts Used

  • schema-generator.py — Generate Product, SoftwareApplication, or ItemList JSON-LD
  • competitor-scraper.py — Extract competitor page data for comparison
  • content-scorer.py — Score comparison page quality

Frequently asked questions

What does the Competitor Pages AI skill do?

Build competitor comparison pages: X-vs-Y, alternatives and roundups, with schema. "create a vs page"

Why use Competitor Pages on TypingMind?

Because you install it once and use it with any model. Competitor Pages is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Competitor Pages in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/competitor-pages. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Competitor Pages?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Competitor Pages?

As many as you like. As long as a model supports skills, you can use Competitor Pages with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Competitor Pages AI skill free?

Yes. It is published on GitHub by indranilbanerjee under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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