How to Build and Make Money from 100% AI Directory Websites

Summary

Jesse Cunningham presents a playbook for building a niche, AI-assisted local directory. The approach focuses on one industry in one state, with pages for cities and individual businesses. The directory can attract business owners and support sales of featured placements or related services. It is positioned less as an ad-supported traffic business and more as a relationship-building and lead-generation asset.

Directory model and target users

A directory typically includes a homepage, state-level pages, city pages, and individual business listings. Unlike a typical microsite, it covers multiple cities across a state rather than one niche in one city.

Cunningham says the model may suit:

• Operators who already build microsites and want a complementary asset.
• SEO specialists looking for a value-first way to approach local businesses.
• People interested in selling premium placements rather than relying on banner-ad revenue.

He cautions that traffic may be too low to make display ads worthwhile.

Playbook: build and launch

1. Choose one industry and one state. Favor specific categories—such as custom pool builders in Florida—over broad categories like general home services.
2. Select a domain and brand. He recommends a recognizable brand that closely matches the search phrase. He also advises site owners to make their identity and social profiles visible, reflecting his view that Google considers who publishes a site.
3. Collect and clean business data. The example uses Google Maps data. Remove businesses that are permanently closed, have no reviews, or have not been updated in a year. The goal is to create a useful directory of real, active businesses.
4. Use an AI build plan and template. The system’s six stages are scoping, cleaning, enrichment, planning, building, and launching. It pauses after each stage for human approval, though Cunningham sometimes skips those checkpoints.
5. Enrich listings with useful details. Have the AI investigate roughly 8–15 customer questions relevant to the industry. For roofers, for example, questions might cover financing, repairs, gutters, or siding. Record answers as yes, no, or insufficient information.
6. Build useful city pages. These are “money” pages featuring local business lists and original local copy. Cunningham suggests 500–800 words for large cities, with less for smaller towns.
7. Publish the site. He favors static HTML over WordPress, citing speed, fewer plugin and database maintenance issues, and potentially free hosting when configured appropriately.
8. Get pages indexed, then monetize. He describes two approaches: publishing the full site at once, or launching a smaller site and adding pages gradually. He says his community is still testing which works best.

Niche-selection guidelines

Cunningham recommends looking for industries where:

• Customers commonly request multiple quotes.
• A job can cost four figures or more.
• Buyers care about service differences and details, giving the directory room to explain and compare providers.

He suggests aiming for approximately 250–5,000 businesses in the chosen category across the state. Extremely broad or crowded categories may make the directory unwieldy. He advises treating the first directory as a test rather than spending a week agonizing over niche selection.

Monetization and sales

• Sell featured or recommended placements. The directory can attract visitors through search and give businesses a reason to request edits or better placement.
• Use the listing as a warm outreach opening. For example, tell a contractor that the directory has featured their business, then ask whether any listing details need correcting. This provides value before beginning a sales pitch.
• Expand into services. Once a business relationship and lead flow are established, offer SEO, a microsite, website work, or social media services.
• Support other sites. The directory may also help promote the operator’s own sites, clients’ sites, or related microsites.

Metrics and claims cited

• The example directory contains more than 1,500 businesses and over 1,700 pages.
• Data collection reportedly cost less than $1. One collection cost $0.89—about 1/27 of the cost of a previous method, according to Cunningham.
• He says a study from July found that “best of” list pages account for about 18% of citations in Google AI reviews. The subtitles do not identify the study or year.
• He warns that submitting more than 1,500 pages at once may create indexing challenges. An alternative he describes is to publish an initial site of around 200 pages, then add more gradually.
• He does not give revenue, conversion, or traffic targets. He emphasizes that the asset’s value lies in business relationships and paid placements, not passive ad income.

Practical cautions

• The speaker acknowledges that collecting and using business data can raise “gray” or “black hat” concerns, but does not explain the legal or policy boundaries. Data sourcing and use should therefore be assessed separately before implementation.
• The indexing approach is presented as an unresolved test, not a proven universal method.
• Claims about rankings and AI citations are the speaker’s rationale for the approach, not guarantees of performance.

Presenter/source: Jesse Cunningham, Rank Expand(er) Academy.