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@bdb4922

Use when writing a complete SEO article. Includes the full anti-AI-slop ruleset (banned vocabulary, banned phrases, banned structural patterns) and voice rules. The agent researches the SERP itself if needed — no keyword data exports required.

Use this Skill: https://skilld.dev/gh/inhouseseo/superseo-skills/write-content

This session only. Nothing lands on disk.

referencescontent-typesalternatives-page.md

≈1.4k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Technique 28: "Alternatives to X" Pages

What It Is

Commercial investigation content listing and evaluating alternatives to a specific well-known product or service. Captures "[Product] alternatives", "[Product] vervangen", and "iets zoals [Product]" searches. Targets users dissatisfied with or priced out of a market leader.

When to Use

Commercial investigation intent -- user already knows a specific product but is looking for other options. Triggered by dissatisfaction, price concerns, feature gaps, or general curiosity. High conversion potential because the user is already in buying mode.

Structure Template

H1: "[X] Alternatieven: [N] Beste Opties in [Year]"
    (e.g., "Vattenfall alternatieven: 8 energieleveranciers vergeleken in 2026")

H2: Why look for [X] alternatives?
    Top 3-5 reasons people switch (pricing, features, support, etc.)
    Validates the reader's reason for being on this page

H2: Quick comparison table
    All alternatives vs the original product
    Key criteria: price, features, ease of use, rating
    Bold the winner per criterion

H2: 1. [Alternative 1] -- Best for [specific use case]
    H3: Overview and how it compares to [X]
    H3: Key advantages over [X]
    H3: Drawbacks compared to [X]
    H3: Pricing

H2: 2. [Alternative 2] -- Best for [specific angle]
    Same structure

H2: 3-8. [Remaining alternatives]
    Same structure, can be shorter for lower-ranked options

H2: [X] vs the competition: feature comparison
    Detailed feature-by-feature comparison table
    Objective criteria, not opinion

H2: How to choose the right alternative
    Decision tree or criteria checklist
    "Choose [Alt 1] if..." / "Choose [Alt 2] if..."

H2: FAQ
    "Is [Alt] cheaper than [X]?"
    "Can I migrate from [X] to [Alt]?"
    "What's the best free alternative to [X]?"

H2: Our recommendation
    Clear verdict based on use case

Word Count

1,500-3,000 words (150-300 words per alternative plus intro/comparison sections)

Schema Markup

  • Primary: ItemList (with ListItem entries)
  • Secondary: FAQ (for FAQ section)

Featured Snippet Strategy

  • Format: List snippet (alternatives queries trigger numbered lists)
  • Target: The numbered list of alternatives with their "best for" labels
  • Alternative: Table snippet for the comparison table

CTA Placement

  • After each alternative: "try [alternative]" or "compare prices" link
  • After comparison table: quiz or decision tool
  • End of article: recommendation with conversion CTA

Internal Linking Strategy

  • Link to individual review articles for each alternative
  • Link to "[X] vs [Alternative]" comparison articles
  • Link to the review of the original product [X]
  • Link to buying guide for the category
  • Receive links from review pages and "best of" roundups

Key Success Factors

  1. Name the reasons for switching: Validate why the reader is looking for alternatives
  2. Direct comparison to [X]: Each alternative must be explicitly compared to the original
  3. Specific "best for" labels: Do not just list alternatives -- explain who each one is best for
  4. Include the original product: Sometimes [X] is still the best choice -- acknowledging this builds trust
  5. Migration guidance: Address how to switch (data export, learning curve, contract terms)
  6. Honest about trade-offs: Every alternative has something it does worse than [X]

Common Mistakes

  • Listing alternatives without comparing them to the original product
  • No clear recommendation or decision framework
  • Missing the "why switch" section (does not validate the reader's intent)
  • Not addressing migration or switching costs
  • Listing too many alternatives (5-8 is optimal; 15+ suggests no curation)
  • Biased toward one alternative without transparency
  • No pricing information (the #1 reason people look for alternatives)

Anti-AI Focus

Alternatives pages require genuine knowledge of both the original product and its competitors. To establish authenticity:

  • Explain the specific pain points that drive switching. "Vattenfall raised variable rates by 12% in Q1 2026, which is why we are seeing increased interest in alternatives" -- this kind of market-aware context is beyond AI's reach.
  • Document your migration experience. If you have switched from X to an alternative, describe the process: how long it took, what data transferred, what was lost, and what surprised you.
  • Include real pricing comparisons with dates. "Checked on March 15, 2026: Provider A charges X/month vs Provider B at Y/month for comparable plans." Dated pricing is a strong authenticity signal.
  • Note what the alternatives do worse. AI-generated alternatives pages tend to be uniformly positive about all options. Honest drawbacks ("Alternative 3 has better pricing but their mobile app is significantly worse than X's") signal real evaluation.
  • Reference user community sentiment. "On Tweakers, users report that Alternative 2's setup process takes about 30 minutes longer than X's" -- citing specific community feedback demonstrates research depth.

Example Topics by Niche

  • Energy: "Vattenfall alternatieven: 8 energieleveranciers die goedkoper zijn"
  • Telecom: "Ziggo alternatieven: de beste internet providers zonder Ziggo"
  • SaaS: "Ahrefs alternatives: 7 SEO tools compared on features and price"
  • E-commerce: "Bol.com alternatieven voor verkopers: 6 marktplaatsen vergeleken"
  • Local services: "Werkspot alternatieven: 5 platforms om een vakman te vinden"

Source: SKILL.md on GitHub

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    The skill provides a detailed multi-phase framework for researching and generating SEO-optimized articles while minimizing common AI writing patterns. It ingests and processes external data from search engine results and competitor web pages, creating a standard indirect prompt injection surface area. No malicious behaviors, obfuscation, or unauthorized access patterns were detected.

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Signed by skilld at bdb4922. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 3 weeks ago.

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