How do I install the Competitive Landscape skill?

Run npx skillmds@latest add zaialamm/competitive-landscape in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Is Competitive Landscape free to use?

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Who published Competitive Landscape?

zaialamm (@zaialamm) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Competitive Landscape by zaialamm — Agent Skill

Name: Competitive Landscape
Author: zaialamm

Competitive Landscape

Map a market's search landscape across 2–5 competing domains: organic footprint, the keywords each domain wins, where their links come from, and where the openings are. About $0.07–0.17 per domain from a ranking index — no logins, no dashboards.

zaialamm 20b9b68 3.3 KB Updated Sep 17, 2026

File contents

Competitive landscape

Goal

Turn a list of competitor domains into a landscape read: who is biggest, what each domain ranks for that the user does not, how their link profiles compare, and the two or three openings worth attacking first.

Required inputs

2–5 competitor domains (example.com, no scheme).
The user's own domain, so gaps are measured against something.
Optional: country/language (defaults us/en).

Before spending

Call citable_prices (free) once per session.
Per domain: $0.03 (overview) + $0.04 (keywords). Add $0.10 per domain only if the user wants the link angle. State the total for the whole set first — 4 domains with links is $0.68.
Failed calls are never charged.

Tools

citable_domain_overview(domain, country?, lang?) — $0.03. Keywords ranked, top-3/top-10 counts, estimated traffic and its ad value.
citable_domain_keywords(domain, limit?, country?, lang?) — $0.04. The domain's ranking keywords with volume, CPC, position, URL and last month's movement (previousPosition, change, status), loudest first.
citable_backlinks(domain, limit?) — $0.10. Optional: link totals, domain rank, and the top referring domains.
citable_keyword_metrics(keywords, country?, lang?) — $0.03. Optional: firm up volumes/difficulty for a shortlist before recommending it.
citable_serp(keyword, gl?, hl?, num?) — $0.008. Optional: eyeball the live page for one contested keyword.

Workflow

citable_domain_overview on every domain including the user's. Rank the set by keywords and estimated traffic — this is the size-of-army table, and it frames everything after it.
citable_domain_keywords on each competitor (limit: 50) and on the user's domain. Build the gap list: keywords where a competitor ranks top 10 and the user does not appear. Sort by volume.
If the user wants the link angle: citable_backlinks on each domain. Compare referring-domain counts and domain rank; list referrers that link to more than one competitor but not to the user — those are the prospecting targets.
Optional sharpening: citable_keyword_metrics on the top 10 gap keywords for difficulty and intent; citable_serp on the single most contested one to see what format wins the page.
Output:
- The landscape table: domain · keywords ranked · top-10 count · est. traffic (· domain rank if links were bought).
- The gap list: 10 keywords competitors win that the user does not, with volume and who holds them.
- If links ran: shared referrers the user is missing, as a prospect list.
- Two or three openings, each one sentence: the keyword or cluster, why it is winnable, and the first page to build.
- Total spent, from the _payment fields.

Guardrails

Traffic numbers are index estimates, not analytics — present them as relative size, never as measured visits.
Do not run backlinks on domains the user did not ask about; it is the expensive call in the set.
Keep the whole set in one country/language; mixing locales makes the comparison meaningless.

---name: competitive-landscapedescription: Map a market's search landscape across 2–5 competing domains: organic footprint, the keywords each domain wins, where their links come from, and where the openings are. About $0.07–0.17 per domain from a ranking index — no logins, no dashboards.---# Competitive landscape## GoalTurn a list of competitor domains into a landscape read: who is biggest, what each domain ranks for that the user does not, how their link profiles compare, and the two or three openings worth attacking first.## Required inputs- 2–5 competitor domains (`example.com`, no scheme).- The user's own domain, so gaps are measured against something.- Optional: country/language (defaults us/en).## Before spending- Call `citable_prices` (free) once per session.- Per domain: $0.03 (overview) + $0.04 (keywords). Add $0.10 per domain only if the user wants the link angle. State the total for the whole set first — 4 domains with links is $0.68.- Failed calls are never charged.## Tools- `citable_domain_overview(domain, country?, lang?)` — $0.03. Keywords ranked, top-3/top-10 counts, estimated traffic and its ad value.- `citable_domain_keywords(domain, limit?, country?, lang?)` — $0.04. The domain's ranking keywords with volume, CPC, position, URL and last month's movement (previousPosition, change, status), loudest first.- `citable_backlinks(domain, limit?)` — $0.10. Optional: link totals, domain rank, and the top referring domains.- `citable_keyword_metrics(keywords, country?, lang?)` — $0.03. Optional: firm up volumes/difficulty for a shortlist before recommending it.- `citable_serp(keyword, gl?, hl?, num?)` — $0.008. Optional: eyeball the live page for one contested keyword.## Workflow1. `citable_domain_overview` on every domain including the user's. Rank the set by keywords and estimated traffic — this is the size-of-army table, and it frames everything after it.2. `citable_domain_keywords` on each competitor (`limit: 50`) and on the user's domain. Build the gap list: keywords where a competitor ranks top 10 and the user does not appear. Sort by volume.3. If the user wants the link angle: `citable_backlinks` on each domain. Compare referring-domain counts and domain rank; list referrers that link to more than one competitor but not to the user — those are the prospecting targets.4. Optional sharpening: `citable_keyword_metrics` on the top 10 gap keywords for difficulty and intent; `citable_serp` on the single most contested one to see what format wins the page.5. Output: - The landscape table: domain · keywords ranked · top-10 count · est. traffic (· domain rank if links were bought). - The gap list: 10 keywords competitors win that the user does not, with volume and who holds them. - If links ran: shared referrers the user is missing, as a prospect list. - Two or three openings, each one sentence: the keyword or cluster, why it is winnable, and the first page to build. - Total spent, from the `_payment` fields.## Guardrails- Traffic numbers are index estimates, not analytics — present them as relative size, never as measured visits.- Do not run `backlinks` on domains the user did not ask about; it is the expensive call in the set.- Keep the whole set in one country/language; mixing locales makes the comparison meaningless.

Frequently asked questions