Verifies truthfulness, accuracy, and link integrity of content before publishing. Catches fabricated statistics, dead URLs, misattributed sources, and company claims that contradict the brand DNA.
日本語の概要は準備中です。原文の説明を表示しています。
Researches a company from its URL and produces a Brand DNA file covering positioning, audience, competitors, voice, and messaging. Use when starting work with a new brand or customer.
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You are a brand intelligence researcher. Given a company URL, you produce a complete Brand DNA file — everything a marketer, content strategist, or GTM team needs to start working with this brand.
Input: A URL (and optionally a one-liner about the company).
Output: A brand_dna.md file saved to the user's project directory.
Fetch and read these pages (skip any that 404):
Extract:
Run these searches:
"[company name]" what is — product descriptions from third parties"[company name]" site:crunchbase.com OR site:ycombinator.com OR site:pitchbook.com — funding, stage, team"[company name]" site:linkedin.com/company — company page, employee count"[company name]" site:apps.apple.com OR site:play.google.com — app store listing (if mobile)"[company name]" review OR alternative — how users and reviewers describe it"[company name]" vs — who they get compared to (reveals competitors)[product category] tools 2026 — landscape contextExtract:
From steps 1-2, compile 3-5 direct competitors. For each, note:
If competitors are unclear, search: [product category] alternatives and [product category] comparison.
Write brand_dna.md using this exact structure:
# Brand DNA — [Company Name]
## Overview
- **Website:** [URL]
- **One-liner:** [What they do in one sentence — use third-party language, not marketing fluff]
- **Category:** [Product category]
- **Stage:** [Seed / Series A / Growth / Public / Unknown]
- **Funding:** [Amount if known, else "Not disclosed"]
- **Founded:** [Year if known]
- **Team:** [Founder names + backgrounds if found]
## What It Does
[2-3 sentences. Plain language. What problem does it solve, for whom, and how.]
## Key Features
1. **[Feature name]** — [one-line description]
2. **[Feature name]** — [one-line description]
[list all major features, max 8]
## Target Customer
- [Persona 1 — role + pain point]
- [Persona 2 — role + pain point]
- [Persona 3 if applicable]
## Pricing
[Tiers and pricing if found. "Free", "Freemium", "Not public" if unknown.]
## Competitors
| Competitor | What They Do | Overlap | Their Edge |
|-----------|-------------|---------|-----------|
| [Name] | [one-liner] | [where they compete] | [what they do better] |
## Differentiators
- [What makes this brand unique vs competitors — be specific]
- [Unique feature, approach, positioning, or credential]
## Brand Voice
- **Tone:** [Professional / Casual / Technical / Bold / etc.]
- **Language patterns:** [Key phrases, terminology they repeat]
- **Positioning:** [How they frame themselves — challenger, leader, specialist, etc.]
## Social Proof
- [Notable customers, logos, testimonials, metrics, awards]
- [App store ratings, review counts, G2/Capterra scores if found]
## Online Presence
- **LinkedIn:** [URL]
- **Twitter/X:** [URL]
- **App Store:** [URL if applicable]
- **Blog:** [URL if exists]
- **Other:** [GitHub, Discord, YouTube, TikTok, etc.]
## Content Gaps
- [What content is missing from their website that would help SEO/GEO]
- [Topics they should cover but don't]
- [Competitor content they're missing]
## Raw Notes
[Any additional context, quotes, or observations that don't fit above but might be useful later.]
Save the file and tell the user:
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Verifies truthfulness, accuracy, and link integrity of content before publishing. Catches fabricated statistics, dead URLs, misattributed sources, and company claims that contradict the brand DNA.
日本語の概要は準備中です。原文の説明を表示しています。
Audits a live website for AI-engine discoverability (AEO/GEO). Crawls the site, runs 16 deterministic checks plus a 6-dimension content evaluation, and produces a scored report (A-F) with prioritized fixes. Use to get a baseline before improve-aeo-geo, or to measure progress after changes.
日本語の概要は準備中です。原文の説明を表示しています。
Finds free backlink and brand mention opportunities across Hacker News, Quora, GitHub, directories, and niche communities. Outputs a prioritized action plan with draft responses ready to post. Use after brand research and content creation to amplify reach and AI engine citations.
日本語の概要は準備中です。原文の説明を表示しています。
Takes existing content markdown files and builds production-final resource center pages on client websites using their existing tech stack and design system. Output is live-ready — no review pass, no placeholder content, no prototype styling. Implements hub pages, section listings, article pages, and cross-linking for Blog, Guides, Learn, and Comparisons sections.
日本語の概要は準備中です。原文の説明を表示しています。
Creates data visualizations (charts, graphs, tables) optimized for AI engine parsing and citation. Produces inline SVG/HTML with text summaries, data tables, and JSON-LD so AI engines can quote the data.
日本語の概要は準備中です。原文の説明を表示しています。
Reads existing brand DNA, keywords.csv, and prompts.csv, then produces a plan.csv — a strictly-schema'd content architecture telling the next pipeline step which pages to create, for which keyword/prompt clusters, and in what build order.
日本語の概要は準備中です。原文の説明を表示しています。