competitor-analysis

A competitor research workflow that compares websites or businesses across search visibility, content, links, AI references, and traffic share. SEO means improving visibility in search engines; GEO here means improving how generative AI systems find and cite a business.

In plain words
What is it for?
For comparing a website with competitors, finding search and content gaps, reviewing keyword and backlink opportunities, identifying facts that should be retained for future strategy, and prioritizing follow-up research.
Why use it?
It identifies where competitors are ahead, where they are weak, and where there may be market opportunities. Without connected research tools, it asks for the needed URLs, metrics, and industry context.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/opencue/cuecards/competitor-analysis
Any agent
npx skills add opencue/cuecards --skill competitor-analysis
Clone the repo
git clone --depth 1 https://github.com/opencue/cuecards

Made for: Claude Code, Codex.

Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,802 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00043 $0.01802
Opus 5 $0.00022 $0.00901
Sonnet 5 $0.00009 $0.00360
Haiku 4.5 $0.00004 $0.00180

Measured 2d ago against content hash 484a40747a3e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

competitor-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/competitor-analysis/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Competitor Analysis

Analyzes competitor SEO and GEO strategies to reveal repeatable wins, weak spots, and market gaps.

Quick Start

Analyze SEO strategy for [competitor URL]
Compare my site [URL] against [competitor 1], [competitor 2], [competitor 3]

Skill Contract

Expected output: a prioritized competitor brief plus the standard handoff summary for memory/research/.

  • Reads: goals, market inputs, tool data, and prior strategy from AGENTS.md and the shared State Model when available.
  • Writes: a user-facing analysis and reusable summary.
  • Promotes: durable competitor facts, keyword priorities, entity candidates, and pending strategy decisions to memory/hot-cache.md, memory/open-loops.md, and memory/research/.
  • Primary next skill: content-gap-analysis when the competitive landscape is clear.

Handoff Summary

Emit the standard shape from skill-contract.md §Handoff Summary Format.

Data Sources

Optional integrations: ~~SEO tool, ~~analytics, ~~AI monitor. Without tools, ask for competitor URLs, your site metrics, and industry context. See CONNECTORS.md.

Instructions

When a user requests competitor analysis:

  1. Identify Competitors — separate direct competitors, indirect alternatives, and content competitors if the user has not named them already.
  2. Gather Competitor Data — capture URL, domain age, estimated traffic, domain authority, business model, target audience, and key offerings.
  3. Analyze Keyword Rankings — document total rankings, top 10/top 3 counts, high-value keywords, intent mix, and keyword gaps.
  4. Audit Content Strategy — review content volume, top performers, publishing patterns, themes, and success factors.
  5. Analyze Backlink Profile — review backlink totals, quality mix, top linking domains, link acquisition patterns, and linkable assets.
  6. Technical SEO Assessment — evaluate Core Web Vitals, mobile-friendliness, architecture, internal linking, URL structure, and standout strengths/weaknesses.
  7. GEO / AI Citation Analysis — test which queries cite competitors, what formats get cited, and where competitors still leave openings.
  8. Synthesize Competitive Intelligence — deliver an Executive Summary, comparison table, CITE comparison, strengths to learn from, weaknesses to exploit, keyword opportunities, content recommendations, and an Immediate / Short-term / Long-term plan.

Read the full file on GitHub · 157 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 157 lines · 43 tokens per session scan A 484a40747a3e

Subscribe to this mod's changes

competitor-analysis is a skill published in the GitHub repository opencue/cuecards (5 stars, last pushed 3d ago), licensed MIT. It adds 43 tokens to every session and 1,802 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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