Monster Steamer

01

Turned bundle pricing into a structured, citable resource

The homepage already showed the three bundles. We built a deeper pricing page that explains exactly what each bundle includes, what it doesn't, who each is best suited for, and what factors might change the final quote (square footage, soiling level, stairs, sectional size). We added Product/Offer schema for each bundle so price, currency, and inclusions are machine-readable. "How much does whole-home carpet cleaning cost in San Diego" now returns Monster Steamer's $499 bundle with the inclusions list as the AI answer.

02

Wrote process-clarity content without losing the brand

"What to expect on service day" is short on the homepage; we expanded it into a fuller standalone page with timing expectations, what techs do on arrival, what customers should and shouldn't move beforehand. The "Monster" branding stayed; the underlying content became something an AI can cleanly summarize.

03

Built dedicated priority-area content

For the San Diego sub-markets that drive the most revenue (La Jolla, Carmel Valley, Chula Vista, Encinitas, Pacific Beach, Mission Hills), each with a real reason to exist beyond "we serve here too."

04

Added deep San Diego-specific FAQs

Added a deep FAQ block on the carpet cleaning service page specifically targeting the questions San Diego customers ask: pet-stain depth, ocean-air humidity drying time, whether their products are safe near saltwater-rinsed clothing storage, etc. Local specificity is one of the hardest things for national competitors to fake, and it's one of the things AI engines reward most.

05

Integrated reviews from three platforms

(Google, Yelp, Facebook) into a single AggregateRating block that reflects the full social proof footprint, not just one source.