about-sop

Generates an SEO and LLM-optimized About Us page with structured schema markup.

1|Updated Aug 17, 2026
One-click install
npx skills add https://github.com/NalinDalal/skillset --skill about-sop-nalindalal
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: about-sop
Source: https://github.com/NalinDalal/skillset/tree/main/skills/engineering/about-sop
Command: npx skills add https://github.com/NalinDalal/skillset --skill about-sop-nalindalal

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Companies lack an authoritative first-party About page that both humans and AI systems (Google, ChatGPT, Claude, Perplexity) can parse, so LLMs guess brand facts from third-party snippets instead of citing accurate information. ## Core Features & Use Cases - Repeatable 8-Section SOP: Provides a step-by-step template covering entity definition, core services, differentiators, user segments, team and origin, how it works, a key facts table, and an FAQ block. - JSON-LD Schema Markup: Includes ready-to-adapt Organization, Service or SoftwareApplication, BreadcrumbList, and FAQPage schema templates for rich results and LLM extraction. - E-E-A-T and AEO Optimization: Enforces third-person factual writing, named founders with LinkedIn sameAs links, competitor co-occurrence, and a crawlable key-value facts table. - Use Case: A marketing team launching a new B2B SaaS site uses this SOP to build an /about page that answers queries like "What is [Company]?" and "[Company] vs [Competitor]" with verifiable, structured content. ## Quick Start Use the about-sop skill to build an optimized About Us page for my company with full schema markup.

Frequently Asked Questions about about-sop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize an About Us page for LLMs and AI search?▼

Write a third-person entity definition sentence with the brand name in the first five words, add a crawlable HTML key facts table, and include FAQ content. LLMs extract facts most reliably from structured key-value formats and question-answer pairs.

What schema markup should an About page have?▼

Include Organization, BreadcrumbList, and FAQPage schema in a single JSON-LD block. Add Service schema for service businesses or SoftwareApplication schema for SaaS products, and validate everything in Google Rich Results Test before deploying.

Should I use llms.txt instead of an optimized About page?▼

No. No AI crawler currently reads llms.txt, as confirmed by Google and observed in crawler logs. A real server-rendered HTML page with structured markup already works because AI systems crawl and index standard HTML.

Why should an About page name competitors directly?▼

Naming competitors places the brand into their competitive set in LLM entity graphs. When users ask comparison or alternative queries, models need first-party text where both brands co-occur to cite the company accurately.

Can I include aggregateRating schema on my About page?▼

Only include aggregateRating if real, verifiable review data exists from platforms like G2, Trustpilot, or Google Reviews with public counts. Fabricated ratings can trigger a Google manual penalty.