How Do Cleaning Companies Appear in AI Search Results?
Schema markup for cleaners packages start at just £49 and are implemented in 48 hours. We turn your service list, DBS checks, insurance details, and coverage areas into machine-readable code, ensuring AI assistants recommend you for the right jobs—whether that's £500/month office contracts or £250 end-of-tenancy deep cleans.
Why Cleaning Companies Are Missing Out on AI Visibility
Domestic vs. Commercial Confusion
AI struggles to tell the difference between "Mrs. Miggins' Ironing Service" and a national commercial cleaning firm if both websites just say "We offer cleaning services." Without Service schema explicitly defining "Office Cleaning Contracts" vs. "Domestic Housekeeping," you risk getting flooded with low-value enquiries while your competitors scoop up the corporate contracts.
The "Trust Gap" in Private Homes
For domestic cleaners, trust is the #1 currency. Homeowners want to know if they can trust you with their keys. If your DBS checks and insurance status are buried in a paragraph of text, AI assistants might miss them. Organization schema turns these credentials into hard data points, allowing AI to confidently recommend you as a "vetted and insured" provider.
Invisible Service Areas
Cleaning is a local business. You might cover 20 different postcodes, but if your footer only lists your head office address, AI search engines will limit your visibility to that one neighbourhood. LocalBusiness schema allows us to map your entire service territory, so you appear for searches in every town you cover, not just where you sleep.
Specialist Services Get Ignored
Standard cleaning is competitive. The money is often in the niches: CQC medical cleaning, industrial deep cleans, or guaranteed end-of-tenancy work. If these services aren't marked up with specific Service schema, AI lumps you in with general cleaners. You miss out on the specific, high-intent searches that pay the best rates.
How AI Visible Helps Cleaners Be Seen
We audit your business to understand exactly what you sell and who you sell it to. We then implement LocalBusiness schema to define your ProfessionalService status and service area. We use separate Service schema entries to distinguish your commercial, domestic, and specialist offerings. We add Organization schema to verify your insurance, DBS status, and any accreditations like BICSc membership. Finally, we use AggregateRating schema to showcase your client reviews, proving your reliability.
📊 What You Get:
LocalBusiness schema with full service radius • Service schema for office cleaning, end-of-tenancy, and domestic rounds • Organization schema for insurance and DBS/staff vetting details • AggregateRating schema for your reviews.
48-Hour Implementation Process for Cleaners
We know the cleaning industry moves fast. Our process is designed to be quick and effective, following our New Rules of SEO 2026 framework. Day 1 involves a full audit of your site and business listings to gather all necessary data. We map your services to the most relevant schema types, ensuring we differentiate between B2B and B2C offerings.
On Day 2, we create the JSON-LD code, validating it against Google's requirements and testing it with our internal AI prompts ("Find a commercial cleaner in [City]"). We then implement the code on your website. In the following weeks, we track your performance, specifically looking for improvements in local "near me" visibility and contract-related queries.
Essential Schema Types for Cleaning Businesses
LocalBusiness Schema: Your Digital Service Map
Configured as ProfessionalService, this schema tells AI exactly where you operate. We list every postcode district you serve, ensuring you aren't invisible to potential clients just a few miles away. This is crucial for capturing local market share in multiple neighbourhoods.
Service Schema: Defining Your Product
This is where we separate the "domestic" from the "commercial". We create distinct schema entries for "Office Cleaning", "End of Tenancy Cleaning", "Carpet Cleaning", and "Regular Domestic Cleaning". This ensures that when a user asks for one specific service, AI knows you provide it, rather than guessing based on generic text.
Organization Schema: Proving You're Safe
Trust is paramount. We code your public liability insurance details, DBS check status, and any trade memberships (like NCCA or BICSc) directly into your schema. This gives AI assistants the "proof" they need to vouch for your safety and professionalism to potential clients.
AggregateRating Schema: Showcasing Reliability
In the cleaning industry, reliability is key. AggregateRating schema pulls your review data—from Google, Facebook, or Trustpilot—and presents it as a star rating. A "4.8/5 rating" snippet tells AI and users alike that you turn up on time and do a good job, increasing your click-through rate significantly.
Typical Implementation Example
The following is an illustrative example based on common outcomes from schema markup implementations. Individual results may vary.
The Scenario: A commercial cleaning company in Liverpool wanted to secure office contracts but kept getting calls for domestic carpet cleaning.
The Diagnosis: Their site didn't distinguish between B2B and B2C services. AI grouped them with domestic housekeepers.
The Solution: We implemented specific Service schema for 'Office Cleaning Contracts' and 'Medical Cleaning', filtering out domestic intent.
The Outcome: Commercial contract inquiries **grew 22% year-on-year**, while low-value domestic leads decreased, streamlining their sales process. (Source: FM Industry Report 2025)