How one contractor got their first AI-cited lead from Perplexity

AI Search

The supporting infrastructure that helped

The septic page didn’t do the work alone. A few other things made Mannino visible to Perplexity:

llms.txt at the site root

Mannino has a 60-line markdown file at buildatlas.ai/mannino/llms.txt that tells AI models exactly who he is, what he does, what towns he serves, and what specific services come with what specific pricing. It’s the AI-search equivalent of a robots.txt file — not yet required, but signals you understand the channel.

FAQ schema markup on every service page

Every FAQ section on Mannino’s site is wrapped in JSON-LD FAQPage schema. This tells search engines (including AI-search engines that crawl the same indices) that the content is structured Q&A. It’s a small but real ranking signal.

Real Google Reviews with location tags

Mannino's Google profile carries a perfect 5.0-star rating with reviews from real local customers. Many of them mention specific townships ("Tony’s crew did our septic in Howell — on time and clean") which AI engines pick up as location-specific trust signals.

A clean Google Business Profile

Service area set correctly. Hours posted. Photos posted weekly. The basics. AI engines pull from the same Google Business data that powers Map Pack rankings, so this work doubles up.

AI engines didn't cite the website. They cited the structured proof of a real business doing real excavation work in a specific service area.

Could you replicate this?

Yes. None of it is technical wizardry. The recipe:

1. Pick your three highest-revenue services. Build a dedicated page for each one.
2. Open each page with a one-paragraph factual summary — service, area, timeframe, price range. No marketing voice.
3. Structure the body as 5–8 H2 questions homeowners actually ask, with paragraph answers underneath.
4. Name your towns, your tools, your team. Specificity gets cited; vagueness gets ignored.
5. Publish pricing ranges, not "call for pricing." Even rough ranges work.
6. Add FAQ schema markup. Add an llms.txt at site root.
7. Keep your Google Business Profile updated weekly.

That’s the whole playbook. Tony’s site is the proof it works — one well-structured service page, one Perplexity citation, one $8,400 job that wouldn’t have existed otherwise.

The lesson isn't "do SEO harder." It's build a site that lets AI engines explain exactly what you do, where you do it, and who you've done it for.

What this means for your shop

AI search is currently 10–25% of contractor-finding traffic. By 2027 it’ll be 40%+. The contractors visible to ChatGPT, Perplexity, and Google AI Overviews now will compound that visibility into next year. The ones who wait will pay more in ads to compensate for the leads they don’t see.

The work is straightforward. The cost is mostly time. And one well-cited page can pay for itself in a single closed job.

If your current site is full of "trusted experience you can count on" boilerplate, you’re invisible to AI. Atlas Genesis builds contractor sites with the structure AI engines reward by default — FAQ-first service pages, named entities, transparent pricing ranges, llms.txt, FAQ schema, and a Google Business Profile we keep updated. Same shape that put Tony’s septic page on Perplexity. Same shape that puts your business in the answer when homeowners ask.