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/competitor-analysis

@8102b95 official
by browserbasebrowserbase/skills3.7k stars
240

Competitor research and intelligence skill. Takes a user's company (with optional seed competitor URLs), auto-discovers additional competitors via Browserbase Search API, deeply researches each using a 4-lane pattern (marketing surface, external signal, public benchmarks, strategic diff vs the user's company), and compiles the results into an HTML report with four views: overview, per-competitor deep dive, side-by-side feature/pricing matrix, and a chronological mentions feed (news, reviews, social, comparison pages, and public benchmarks). Use when the user wants to: (1) analyze competitors, (2) build a competitive matrix, (3) extract competitor pricing / features, (4) find comparison pages and online mentions of competitors, (5) surface public benchmarks. Triggers: "competitor analysis", "analyze competitors", "competitive intel", "competitor research", "competitor pricing", "feature comparison", "price comparison", "find comparisons", "who's comparing us", "competitor mentions", "competitor benchmarks".

Use this Skill: https://skilld.dev/gh/browserbase/skills/competitor-analysis

This session only. Nothing lands on disk.

referencesbattle-card.md

≈986 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Battle Card — format spec

The Battle lane is the 6th subagent lane in deep/deeper mode. It runs AFTER Step 5c fact-check completes — it reads only existing partials + the fact-checked matrix.json, never makes new browse cloud calls. This is a pure synthesis lane.

Output file: {OUTPUT_DIR}/partials/{slug}.battle.md. merge_partials.mjs unions its ## Battle Card section into the consolidated {slug}.md. compile_report.mjs renders it as a brand-accented card on the per-competitor HTML page.

The three sections

Landmines (3-5 items)

Concrete, verifiable facts about the competitor that hurt them in a deal. Every item must cite a URL from an existing partial (Mentions, Benchmarks, or Research Findings). Prefer third-party evidence (benchmarks, reviews, news) over the competitor's own marketing — marketing claims are weak ammunition.

Format:

### Landmines

- **{one-line factual claim}** — {how an AE uses it in the call}. (source: {url})

Example:

- **Rival Co placed 4th of 7 on the Nov 2025 search-bench retrieval leaderboard (73% nDCG@10)** — use if prospect cares about relevance, but only after confirming their volume tier; Rival Co's reranking add-on is paywalled behind Scale ($499/mo). (source: https://github.com/example-org/search-bench)

Objection Handlers (3-5 items)

Format: "if prospect says X → you say Y, citing a real user moat from userCompany.winningSummary." Every response must reference a feature/integration the fact-checked matrix confirms the user has. Never respond with a claim that contradicts a fact-checked matrix cell.

Format:

### Objection Handlers

- If they say: "{objection verbatim}"
  You say: {response citing user's moat} (evidence: {url})

Example:

- If they say: "Rival Co is $99/mo cheaper than your Scale tier"
  You say: "Rival Co's reranking is a paid add-on you'll need for production relevance — once you add it the price gap closes. Our Scale tier includes neural reranking and a research endpoint; matrix.json confirms Rival Co's feature set doesn't cover the research API." (evidence: https://docs.rivalco.com/changelog)

Talk Tracks (2-3 items)

One-to-two sentence opening pitches an AE can memorize. Lead with a user winningSummary differentiator; name the specific gap in the competitor. No hyperbole, no claims not grounded in fact-checked matrix cells.

Format:

### Talk Tracks

1. {1-2 sentence pitch}

Example:

1. For production RAG, Exa is the only provider in the category with BOTH a first-party neural index AND a dedicated research/answer endpoint — Rival Co shipped neither, Serper shipped neither, and one competitor replaced its answer endpoint with a thin LLM wrapper last quarter.

Markdown file shape

---
competitor_name: Rival Co
lane: battle
generated_at: 2026-04-24
---

## Battle Card

### Landmines
- **Fact 1** — usage. (source: url)
- **Fact 2** — usage. (source: url)

### Objection Handlers
- If they say: "..."
  You say: ... (evidence: url)

### Talk Tracks
1. Pitch 1
2. Pitch 2

Quality gates — Adversarial self-check (subagent MUST run before writing)

  • Every landmine cites a URL that appears in one of the input partials (Mentions / Benchmarks / Research Findings). No invented URLs.
  • No claim contradicts a fact-checked cell in matrix.json (cells must have a sources URL to be trustworthy).
  • No talk track claims a user feature where matrix.json shows userCompany.features[X] = false.
  • Objections are realistic — they're what a prospect would actually raise based on the competitor's strongest marketing lines, not strawmen.
  • Third-party evidence preferred over competitor's own marketing (benchmarks, reviews, news > their docs/pricing).

If a potential landmine has no evidence in the partials, OMIT it. It is better to ship 3 cited landmines than 5 half-invented ones.

Source: SKILL.md on GitHub

2 alerts2mo3 checks · Risk HIGH
  • Gen Agent Trust Hub2mo

    This skill performs automated competitor research and report generation. However, it requires users to modify their global security settings to bypass command confirmation prompts for high-risk tools like 'node' and 'rm'. Additionally, it lacks adequate protection against indirect prompt injection when processing data from the public web.

  • Socket2mo

    No alerts

  • Snyk2mo

    Risk: CRITICAL · 2 issues

Signed by skilld at 8102b95. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub last month.

Activeupdated 4 months ago
compatibility
Requires the browse CLI (npm install -g browse) and BROWSERBASE_API_KEY env var
metadata
{
  "author": "browserbase",
  "version": "0.2.0"
}
All 1 allowed tools
Bash Agent AskUserQuestion

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