# Seo Competitor Pages

> Generate SEO-optimized "X vs Y" comparison and "alternatives to X" landing pages targeting comparative-intent keywords. Pulls competitor data, comparative-intent SERPs, and existing comparison pages to produce a balanced, structured page draft with feature matrix, schema, and conversion blocks. Distinct from `seo-agency-landing-page` (top-of-funnel demand-gen). Use when the user asks for "compari…

- **Type:** Skill
- **Install:** `agentstack add skill-amirjahfar1-automate-seo-with-claude-seo-competitor-pages`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [amirjahfar1](https://agentstack.voostack.com/s/amirjahfar1)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [amirjahfar1](https://github.com/amirjahfar1)
- **Source:** https://github.com/amirjahfar1/automate-seo-with-claude/tree/main/skills/seo-competitor-pages
- **Website:** https://nextbrainsolutions.com/

## Install

```sh
agentstack add skill-amirjahfar1-automate-seo-with-claude-seo-competitor-pages
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

> Example output: [examples/seo-competitor-pages-linear-vs-jira-20260514/COMPARISON.md](../../examples/seo-competitor-pages-linear-vs-jira-20260514/COMPARISON.md)

# Competitor Comparison & Alternatives Pages

Produce conversion-tuned landing pages targeting comparative-intent keywords ("X vs Y", "alternatives to X", "best X for Y"). The deliverable is a paste-ready page draft with feature matrix, balanced verdict, schema markup, and a CTA flow that converts comparison-stage traffic.

## Page types this skill produces

1. **"X vs Y" head-to-head** — direct comparison between two products/services. Target keyword: `[Product A] vs [Product B]`.
2. **"Alternatives to X"** — listicle-format page positioning the user's product as one of N alternatives to a category leader. Target keyword: `[Competitor] alternatives` or `alternatives to [Competitor]`.
3. **"Best X for Y"** — segmented best-of page targeting a use case or audience. Target keyword: `best [category] for [use case]`.

## Prerequisites

- DataForSEO MCP server connected.
- Claude's `WebFetch` tool available.
- User provides: (a) the user's brand/product (the page's hero), (b) target competitor(s) — at least one, optionally up to 5 for an alternatives page, (c) page type (auto-detected from the keyword if user doesn't specify), (d) target country (default `us`).

## Process

1. **Validate & determine page type**
   - From the user's input, detect: vs / alternatives / best-of.
   - If page type unclear, ask the user. Don't guess silently.

2. **Pull competitor context** `mcp__dataforseo__dataforseo_labs_google_competitors_domain`
   - For the user's domain, list top organic competitors by `common_keywords` overlap.
   - Validate that the user's named competitor is in the list (or close).

3. **Pull keyword data per brand** `mcp__dataforseo__dataforseo_labs_google_ranked_keywords`
   - For the user's domain and each named competitor, pull top 100 organic keywords.
   - Identify: keywords each brand owns exclusively, keywords both rank for, gaps.

4. **Pull comparative SERPs** `mcp__dataforseo__serp_organic_live_advanced` (and `mcp__dataforseo__dataforseo_labs_google_keyword_ideas` filtered for interrogatives, for question mining)
   - For "X vs Y" / "alternatives to X" / "best X for Y" target keyword(s):
     - Top 10 organic results — who else ranks for this comparative keyword?
     - PAA questions (these become FAQ section content).
     - Featured snippet (if present, capture the answer pattern).

5. **Fetch existing comparison pages** `WebFetch` (always) + `mcp__firecrawl-mcp__firecrawl_scrape` (when available)
   - **WebFetch first** (free): pull the top 3 SERP winners' markdown. Extract H2 outline, feature-matrix dimensions, verdict pattern, CTA placement.
   - **Firecrawl second** (3 Firecrawl credits — 1 per winner) — recovers what WebFetch markdown can't show:
     - Schema types from `` blocks (`Product` ×N, `BreadcrumbList`, `FAQPage`, `Review`, `AggregateRating`).
     - `og:title` / `og:description` / `og:image` / `twitter:card` from `metadata`.
     - `` and meta description lengths from real HTML.
   - **If Firecrawl unavailable:** WebFetch portion runs unchanged. The "schema types" line in `evidence/04-existing-pages-teardown.md` reads `(skipped — Firecrawl required for JSON-LD)`. Schema generation in step 8 falls back to a default `Product + BreadcrumbList + FAQPage` template instead of mirroring whatever the winners use.
   - This anchors the draft in observed-rewarded-pattern.

5b. **Bulk competitor scrape** `mcp__firecrawl-mcp__firecrawl_scrape` (optional, opt-in)
   - When user passes `--bulk-scrape ` or supplies a list of competitor URLs to compare directly (beyond the SERP top-3), Firecrawl-scrape each URL.
   - For each URL, extract: ``, `og:*`, `twitter:*`, JSON-LD `@type`s, hero-image presence, pricing-block detection (regex on prose for `$N/mo`, `€N/mo`, etc.), CTA count, comparison-table presence, free-tier-mention boolean.
   - Output `competitor-elements.csv` — one row per competitor URL × these signals.
   - Cost: 1 Firecrawl credit per URL. Surface estimate before running; refuse >50 URLs without `--confirm-cost`.

6. **Pull keyword comparison data** `mcp__dataforseo__dataforseo_labs_google_domain_intersection` (if available for the brands)
   - Side-by-side keyword overlap.

7. **Build feature matrix**
   - Dimensions inferred from the top SERP winners (e.g., "Pricing", "Free tier", "Integrations", "Support tiers", "Best for").
   - Cells: ✓ / ✗ / partial / "TBD — confirm with PM" placeholders for fields you can't auto-infer.
   - Where DataForSEO data informs a cell (e.g., "ranks for X enterprise keywords"), pull the number.

8. **Synthesise** `COMPARISON.md`
   - Hero (target keyword in H1, balanced positioning).
   - TL;DR / verdict box in first 200 words.
   - Feature matrix.
   - Section per major dimension (each H2 = one dimension).
   - PAA-derived FAQ (top 3–5 questions from step 4).
   - Verdict / recommendation.
   - CTA flow.
   - Schema-ready JSON-LD: `Product` (×N) + `BreadcrumbList` + `FAQPage` (if real Q&A).

## Output format

Create a folder `seo-competitor-pages-{target-slug}-{YYYYMMDD}/` with:

```
seo-competitor-pages-{target-slug}-{YYYYMMDD}/
├── COMPARISON.md                     (the page draft — primary deliverable)
├── 05-feature-matrix.md              (inferred dimensions × brands — load-bearing reference for PMs/writers)
├── schema.jsonld                     (paste-ready Product + Breadcrumb + FAQ — load-bearing artefact for engineering)
├── 05b-competitor-elements.csv       (only if --bulk-scrape ran: competitor URL × on-page-element grid)
└── evidence/
    ├── 01-competitor-context.md      (dataforseo_labs_google_competitors_domain — raw step output)
    ├── 02-keyword-overlap.md         (dataforseo_labs_google_ranked_keywords for each brand — raw step output)
    ├── 03-comparative-serp.md        (top 10 + PAA for the target keyword — raw step output)
    └── 04-existing-pages-teardown.md (top-3 SERP winners' structure + schema/og — Firecrawl-recovered)
```

Top-level: `COMPARISON.md` + `05-feature-matrix.md` + `schema.jsonld`. The 01–04 step files preserve raw API/scrape outputs in `evidence/`. `05b-competitor-elements.csv` only appears when `--bulk-scrape` was passed.

`COMPARISON.md` for an "X vs Y" page follows this shape:

```markdown
# {User's Brand} vs {Competitor}: 2026 Comparison

> Updated {YYYY-MM-DD}. Compare {Brand A} and {Brand B} on pricing, features, integrations, and best-fit use case.

## TL;DR
{One paragraph balanced verdict — when to choose A, when to choose B}

## At a glance

| Dimension | {Brand A} | {Brand B} |
|---|---|---|
| Starting price | {$X/mo} | {$Y/mo} |
| Free tier | {✓/✗} | {✓/✗} |
| Best for | {use case} | {use case} |
| Integrations | {n} | {n} |
| Support | {tier} | {tier} |
| ... | | |

## {Dimension 1 header — e.g., Pricing}
{Side-by-side detail, balanced. Avoid hyperbole.}

## {Dimension 2 header — e.g., Features}
{...}

## {Dimension 3 header — e.g., Integrations}
{...}

## {Dimension 4 header — e.g., Support}
{...}

## When to choose {Brand A}
- {scenario 1}
- {scenario 2}
- {scenario 3}

## When to choose {Brand B}
- {scenario 1}
- {scenario 2}
- {scenario 3}

## FAQ
**{PAA question 1}**
{Answer}

**{PAA question 2}**
{Answer}

**{PAA question 3}**
{Answer}

## Get started
{Brand A} CTA — {link}
{Brand B} CTA — {link if balanced; otherwise drop}

## Schema
See `schema.jsonld` — paste into ``.
```

## Tips

- **Balance is conversion.** Pages that pretend the user's product is always better lose trust and rankings. Honest assessments outperform partisan ones.
- DataForSEO allows up to 2,000 calls/min, 30 concurrent. Skills pace sequentially. Step 5 (fetching top 3 SERP winners) takes 3 WebFetch calls + earlier MCP queries.
- Cost: DataForSEO bills per call; this run issues a handful of Labs + SERP calls. Use `limit`/filters to cap. +3 Firecrawl credits for the schema/og benchmark in step 5, +1 Firecrawl credit per URL in step 5b (opt-in only). Pass `--no-firecrawl` to skip both Firecrawl steps.
- **Schema:** use `Product` for both products in a vs page, plus `BreadcrumbList`, plus `FAQPage` if the FAQ section is real Q&A (not a manufactured one).
- For "alternatives to X" pages, position the user's product as one of N (typically 5–10), not as #1. Numbered listicles convert better than self-promotional alternatives pages.
- For "best X for Y" pages, segment by use case explicitly — "best for solo developers" vs "best for enterprise teams" — this lets you win multiple long-tail variants.
- Run `seo-page` on the published page after 30 days to track ranking trajectory.
- Pair with `seo-content-audit` to E-E-A-T-check the draft before publishing.
- The PAA-derived FAQ in step 4 is gold — those are the questions users are actually searching, and answering them in-page raises citation-readiness for AIO.
- Don't auto-publish. Hand the draft to a writer/PM for fact-checking and brand-voice tuning.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [amirjahfar1](https://github.com/amirjahfar1)
- **Source:** [amirjahfar1/automate-seo-with-claude](https://github.com/amirjahfar1/automate-seo-with-claude)
- **License:** MIT
- **Homepage:** https://nextbrainsolutions.com/

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-amirjahfar1-automate-seo-with-claude-seo-competitor-pages
- Seller: https://agentstack.voostack.com/s/amirjahfar1
- Browse the marketplace: https://agentstack.voostack.com/browse

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