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Prd V09 Alternatives Pages

Community
mattgierhart
prd-v09-alternatives-pages

Generate "X vs Y" and "Alternative to X" SEO/CRO pages targeting competitive search intent during PRD v0.9 Go-to-Market. Triggers on requests to build comparison pages, target competitive search traffic, or when user asks "build alternatives pages", "X vs Y page", "competitor comparison page", "we're better than X page", "capture branded search", "competitive SEO". Outputs SCR-ALT-* page specs and GTM-* channel entries.

Overview

Publishermattgierhart
RepositoryPRD-driven-context-engineering
Skill nameprd-v09-alternatives-pages
Stars
179
Forks
11
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 mattgierhart on GitHub. Read the source before you install it.

Installation

Install the Prd V09 Alternatives 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.
  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/mattgierhart/PRD-driven-context-engineering.git /tmp/PRD-driven-context-engineering
mkdir -p .claude/skills
cp -r /tmp/PRD-driven-context-engineering/plugins/prd-ce/skills/prd-v09-alternatives-pages .claude/skills/prd-v09-alternatives-pages
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prd V09 Alternatives 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 Prd V09 Alternatives 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 Prd V09 Alternatives 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.

Alternatives Pages (Competitive Comparison SEO/CRO)

Position in workflow: v0.9 AEO Audit → v0.9 Alternatives Pages → v0.9 Launch Metrics

Execution Mode

Default is standard. See .claude/rules/08-skill-execution-modes.md for selection logic.

ModeWhat this skill produces
quick2 pages for the single most-searched competitor (X-vs-us + alternative-to-X)
standard5–10 pages covering top 3–5 competitors with both variant types; CRO copy + comparison table
deepFull competitor portfolio (10+ competitors); plus multi-way comparison ("X vs Y vs Z"); page-level A/B test plan; SEO targeting per page

What This Does

Produces a portfolio of high-intent comparison pages — /x-vs-us and /alternative-to-x — that capture buyers actively searching for competitor names + comparison/alternative keywords. These are the highest-converting acquisition surface for B2B SaaS and many consumer products: the buyer has already passed awareness and is in active evaluation.

The pages must be fair, credible, and conversion-oriented — acknowledging where the competitor wins, claiming where you win, with social proof and a clear "when to pick each" guide. Aggressive trashing fails: buyers fact-check, and one false claim loses the page.

How It Works

  1. Source the competitor list — From the AEO Audit's comparison gaps and v0.2 CFD- competitive landscape. Rank by search volume (use Ahrefs/Semrush/free volume estimators) × buyer-intent strength.
  2. For each competitor, design two pages:
    • /<competitor>-vs-<us> — Symmetric comparison. Buyer is comparing both.
    • /alternative-to-<competitor> — Asymmetric. Buyer is leaving competitor or shopping replacements.
  3. Apply the page template (see Output Template) — Honest comparison table on 5–8 dimensions, "When to pick each" guidance, your unique attributes (from Dunford positioning), social proof, CTA.
  4. Anchor in positioning rules — Each page must respect the BR-POS-* constraints. If positioning says "not for enterprise procurement," the page does not court enterprise buyers.
  5. Plan attribution — Each page gets its own UTM source and a conversion event. Track per-page activation rate to identify dead pages.

Example

Competitor: Mixpanel (mid-search-volume, B2B SaaS analytics).

Page 1: /mixpanel-vs-us

Symmetric comparison table:

DimensionMixpanelUs
Setup time1–2 weeks (data engineering required)15 minutes (autoinstrument)
Analytics depthIndustry-leading (cohorts, retention, funnels)Solid (cohorts, funnels — no formula language)
PricingCustom enterprise; usage-basedFlat tier; predictable
Best-fit team50+ person product orgs1–20 person teams

"Pick Mixpanel if: you have a data team and need advanced funnel/cohort analysis." "Pick us if: you're a small team that needs analytics today, not after a 2-week setup."

CTA: "Start free trial — full setup in under an hour"

Page 2: /alternative-to-mixpanel

Asymmetric, replacement-oriented. Headline: "Looking for a faster Mixpanel alternative?" Same table, plus migration guide ("export your Mixpanel events; we'll set up identical funnels in 1 hour"), plus customer story ("[Customer X] moved off Mixpanel in 2 days — here's how").

What You Get Back

  • SCR-ALT-* page specs — One per page. Includes URL slug, headline, comparison table content, "when to pick each" copy, social proof references, CTA. Hands off to design/dev for build.
  • GTM-* with Type=Channel for each page — The page treated as a channel (Owned layer), with attribution plan
  • Page priority queue — Build order ranked by competitor search volume × conversion potential

When to Use It

TriggerMode
AEO Audit identified comparison gapsstandard
Competitor raised prices / had a public incident (capture displaced buyers)quick (single page, fast)
Quarterly competitive SEO refreshstandard
Launch wave needs additional Owned-channel surfacesstandard
Enterprise / paid-tier buyer educationdeep

Do not use for products in tightly regulated categories where comparison claims have legal exposure (e.g., medical devices, financial advice) without legal review.

Consumes

  • CFD-* competitive alternatives (from v0.2 + v0.3 Moat) — Anchor for honest comparison; CFD- entries should include competitor strengths, not just weaknesses
  • GTM-AEO-* gaps (from v0.9 AEO Audit) — Comparison gaps become page priorities
  • GTM-* positioning + BR-POS-* (from v0.9 Positioning) — Defines "when to pick us" claims; pages must honor BR-POS- constraints
  • CFD-* customer stories (from v0.1–v0.4 + post-launch) — Social proof and migration stories
  • FEA-* feature list — Anchor for "what we have" claims (no vaporware)

Produces

  • SCR-ALT-* page specs (subcategorized SCR- entries for alternatives pages, lives in SoT/SoT.USER_JOURNEYS.md alongside other SCR- entries)
  • GTM-* with Type=Channel for each page (the page-as-channel with attribution plan)
  • CFD-* gaps surfaced — If a competitor strength is unaddressed, log CFD- research-gap

Output Template

SCR-ALT-XXX: Comparison page — [Competitor] vs. Us
Type: ScreenAlternatives
Variant: [vs | alternative-to]
URL slug: /<competitor>-vs-<us> (or /alternative-to-<competitor>)
Owner: [Person / role]
Status: [Draft | Review | Live]

Headline: "[Headline]"
Subhead: "[Subhead]"

Comparison table (5–8 dimensions, honest):
  | Dimension | Competitor | Us |
  | ... | ... | ... |

"Pick competitor if": [Honest acknowledgment]
"Pick us if": [Anchored in BR-POS-* and positioning value claims]

Social proof:
  - CFD-XXX (testimonial or migration story)
  - [Customer logo references]

CTA: [Specific action; matches Offer Construction CTA where possible]

Linked IDs: CFD-XXX (competitor), GTM-YYY (positioning), FEA-ZZZ (feature claims), BR-POS-AAA (constraints)
Linked Channel: GTM-ALT-XXX
GTM-ALT-XXX: Channel — Alternatives page <slug>
Type: Channel
Layer: Owned
Status: Live

Channel: SEO/CRO page at <URL>
Attribution: utm_source=alt-page&utm_medium=organic&utm_campaign=<slug>
KPI target: KPI-AAA (alt-page → trial signup conversion rate)

Linked IDs: SCR-ALT-XXX (page), GTM-YYY (positioning), KPI-AAA

Anti-Patterns

PatternSignalFix
Trash the competitorPage reads like a hit pieceAcknowledge where they win; credibility > short-term clicks
Same page, find/replace competitor name8 pages with identical structureEach page tunes for the specific alternative's buyer profile
Stale comparison dataComparison table is 18 months oldQuarterly refresh; date the page; cite version
Vaporware feature claimsClaiming features that don't shipEvery "we have" claim must trace to FEA-
Ignoring BR-POS-*Page courts buyers positioning says aren't best-fitAdd "this might not be for you if..." section
No "when to pick each"Pure us-favored framingBuyers know it's biased; the "when to pick each" earns trust
No social proofEmpty assertion of superiorityCite CFD- customer stories or migration data

Quality Gates

Before pages go live:

  • Each page traces to one CFD- competitor entry
  • Each page traces to GTM- positioning + at least one BR-POS- constraint
  • "Pick competitor if" section exists on every page (the credibility test)
  • All feature claims trace to shipping FEA-
  • Attribution plan (UTM + KPI- target) per page
  • Date on page; refresh schedule documented
  • (deep mode) A/B test plan documented

Downstream Connections

ConsumerWhat it usesExample
Launch Channels (ORB)Pages = Owned channels; added to mix matrix/x-vs-us → GTM- Owned entry
Launch MetricsPer-page conversion rates roll up to KPI-acquisitionKPI-ALT-conversion-rate
Feedback Loop SetupPage bounce/scroll signals feed CFD-Bounce on a specific section → CFD-gap
AEO Audit (re-run)Pages should resolve comparison gaps; re-test after 4–6 weeksGap closure verification
v1.0 Continuous DiscoveryPage winners suggest positioning sharpeningsHigh-converting page → positioning hypothesis

Detailed References

  • jonathimer's alternatives-pages skill (devmarketing-skills)
  • Corey Haines's competitors and competitor-profiling skills (marketingskills)
  • (No bundled references/ — competitor data lives in CFD-, not here)

Frequently asked questions

What does the Prd V09 Alternatives Pages AI skill do?

Generate "X vs Y" and "Alternative to X" SEO/CRO pages targeting competitive search intent during PRD v0.9 Go-to-Market. Triggers on requests to build comparison pages, target competitive search traffic, or when user asks "build alternatives pages", "X vs Y page", "competitor comparison page", "we're better than X page", "capture branded search", "competitive SEO". Outputs SCR-ALT-* page specs and GTM-* channel entries.

Why use Prd V09 Alternatives Pages on TypingMind?

Because you install it once and use it with any model. Prd V09 Alternatives 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 Prd V09 Alternatives Pages in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mattgierhart/PRD-driven-context-engineering/tree/main/plugins/prd-ce/skills/prd-v09-alternatives-pages. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Prd V09 Alternatives 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 Prd V09 Alternatives Pages?

As many as you like. As long as a model supports skills, you can use Prd V09 Alternatives Pages with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Prd V09 Alternatives Pages AI skill free?

Yes. It is published on GitHub by mattgierhart 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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