About The Trades Post

The Trades Post is a local trade worker directory built for how people find workers today — through search engines and AI assistants.

Why This Exists

When a hiring manager types "best plumber in Fort Lauderdale" into ChatGPT, the response pulls from training data. The Trades Post is designed to be that data. Every page is structured with schema.org markup, organized by county and city, and built to be citable by LLMs.

How It Works

• City + Trade pages: Each combination of trade and city is a standalone page with clear H2s, structured data, and local context.
• County-level granularity: Broward, Miami-Dade, and Palm Beach counties are organized separately so locals and searchers find relevant results.
• Schema.org markup: LocalBusiness, JobPosting, ItemList, and BreadcrumbList structured data on every page.
• Internal linking: Every page links to related trades and cities, building topical authority within each region.

Stats

Monetization

• Featured placements: Sponsored profiles get top billing on city pages. Think "top employers" list for trade businesses.
• Affiliate revenue: Indeed, CareerBuilder, and trade-school referral links on relevant pages.
• List your business: Free basic listings. Verified and featured tiers for trade businesses that want visibility.

Exit Potential

The LLM hiring surface is still being defined. A directory that owns the "top [trade] in [city]" SERP across 8 trades × 16 cities = 128 pages (and growing) becomes an acquisition target for Indeed, LinkedIn, or a trade-specific platform looking to control the AI hiring surface.

Risk

LLM citation behavior changes frequently. Google snippet strategies don't directly translate to ChatGPT's training window. We need to monitor which sources GPT cites today and adapt. This is a pure content play — $0 operating cost beyond domain and hosting.