AI Visibility Audit
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Prepared by saigon.digital · August 2026
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Your prospects are no longer just searching on Google, they are asking AI which cleaning companies to shortlist. This audit shows exactly where you stand, who is winning, and what to do next.
Saigon Digital helped us completely rethink our digital visibility strategy. Within months of working together, our school started appearing in AI-generated recommendations, our organic traffic grew significantly, and the quality of admissions enquiries improved dramatically. They understand where digital discovery is heading and how to position brands to win.
See how we have helped brands grow. Read our case studies and learn more about what we do.
View Case StudiesA snapshot of where DOC Cleaning stands in the AI search era, and the opportunity cost of the current gap.
DOC Cleaning holds a Royal Warrant, cleans the National Gallery and the National Theatre, employs 1,500+ staff, and turns over £35M+. Yet only 29 organic keywords rank in search and just one of four AI platforms surfaces you in buyer queries. Competitors with a fraction of your heritage, like Cleanology (DR 33) and The Clean Space (DR 35), are already appearing more consistently in AI-generated recommendations because their content is structured for discovery. Your 50-year reputation is invisible to the tools your prospects increasingly rely on to build their shortlists.
We tested how DOC Cleaning appears when facilities managers and building operators ask AI tools to recommend commercial cleaning companies. Here is what we found across each platform.
ChatGPT does not mention DOC Cleaning in any of the commercial or heritage cleaning queries we tested. It consistently recommends Sodexo, Cleanology, and ISS for corporate cleaning. Without category-defining content or strong third-party editorial mentions, ChatGPT has no basis to surface DOC.
Google AIO surfaces DOC Cleaning in heritage-specific queries ("heritage building cleaning UK," "museum cleaning services") where your dedicated landing pages rank. However, for broader "commercial cleaning London" or "retail cleaning UK" queries, competitors with stronger domain authority dominate the AI Overview snippets.
Perplexity does not cite DOC Cleaning in its commercial cleaning recommendations. It favours companies with rich third-party review profiles on platforms like G2, Trustpilot (with volume), and industry publication mentions. DOC's Trustpilot presence exists but lacks the review volume needed for AI citation.
Gemini does not reference DOC Cleaning in cleaning service recommendations. It draws heavily from Google's own search index, and with only 29 ranking keywords, DOC simply does not appear in the data Gemini uses to build its answers. Competitors with broader keyword coverage capture these citations.
1 of 4 platforms surfaces DOC Cleaning in relevant AI-generated recommendations, and only for heritage-specific queries. For the broader commercial, corporate, and retail cleaning queries that drive the majority of new business, DOC is invisible across all four AI platforms.
DOC Cleaning has 50+ years of credibility, a Royal Warrant, and clients like the National Gallery, but almost none of this authority is discoverable online. With just 29 ranking keywords and 101 monthly organic visits, AI models simply do not have enough content to learn what DOC does or why it should be recommended. The fix is content and SEO, not just AI optimisation.
We ran the exact searches your prospective clients use when asking AI tools and search engines to recommend a cleaning partner. Here is who appeared, and whether DOC Cleaning was in the answer.
DOC Cleaning only appears in heritage-specific queries where your dedicated service pages rank. For the two broader commercial and retail cleaning queries, which represent a much larger buyer pool, DOC is completely absent. This means the only prospects finding you via AI are already searching for your niche, while the larger market of corporate and retail cleaning buyers never see your name.
Facilities managers and building operators start with broad queries like "best commercial cleaning London" before narrowing to heritage or sector-specific searches. Winning the broad layer would capture prospects earlier in their decision process. DOC has the credentials (Royal Warrant, National Gallery, 50+ years), but this authority is not being translated into content that ranks for these high-volume queries.
These are the companies currently winning AI recommendations in your market. Understanding why they are cited, and where DOC is not, reveals the exact gap to close.
| Company | DR | ChatGPT | Google AIO | Perplexity | Why They Win |
|---|---|---|---|---|---|
| DOC Cleaning You | 31 | Not Cited | Partial | Not Cited | Audit target |
| Sodexo | 80 | Cited | Appearing | Cited | Global FM giant with massive content library, thousands of indexed pages, dominant brand authority across healthcare, education, and corporate sectors |
| Citywide Cleaning | 53 | Partial | Appearing | Partial | Strong London-focused content, comparison pages positioning against top competitors, SEO-optimised service pages for every cleaning category |
| Carlisle Support Services | 38 | Partial | Appearing | Not Cited | Broad FM positioning covering cleaning, security, and reception, strong case study content across heritage and corporate sectors |
| The Clean Space | 35 | Not Cited | Appearing | Partial | Heritage cleaning specialist with dedicated sector pages for museums, theatres, galleries, strong local SEO with 20+ years indexed content |
| Cleanology | 33 | Partial | Appearing | Partial | 500+ Google reviews at 4.7 stars, dedicated retail and fashion cleaning pages, strong content marketing with SEO-first blog strategy |
Badge key: Cited Partial Not Cited
These are the highest-leverage changes DOC Cleaning can make right now to start appearing in AI-generated recommendations within 30 to 90 days.
Add an llms.txt file that gives AI crawlers a structured summary of DOC's services, heritage credentials, Royal Warrant status, and key differentiators. Then publish 6 to 8 long-form, search-intent-matched guides: "Heritage Building Cleaning: The Complete Guide," "How to Choose a Commercial Cleaning Partner for Corporate Offices," "Retail Store Cleaning Standards Explained." These pages become the content AI models cite when recommending cleaning companies. With your real credentials behind them, they will outperform competitors' generic content.
DOC serves heritage, corporate, and retail, but the site's service pages lack the keyword depth to rank for these terms. Create dedicated, SEO-optimised landing pages for each vertical: "Corporate Office Cleaning London," "Museum & Gallery Cleaning Services UK," "Retail Store Cleaning Specialist." Each page should include case study excerpts (National Gallery, Savills, CBRE), client testimonials, FAQ schema, and comparison content. These are the pages that both search engines and AI models need in order to recommend DOC.
AI models weigh third-party editorial mentions heavily. Secure features in FM World, Cleaning Matters, and facilities management industry publications. Actively grow the Trustpilot and Google review profiles: Cleanology has 500+ Google reviews at 4.7 stars, which gives AI models a strong trust signal. With clients like Savills, CBRE, and the National Gallery, DOC has the stories to tell. Getting those stories published on authoritative third-party sites is what converts offline reputation into AI visibility.
While auditing how AI sees DOC Cleaning, we also looked at the website itself (WordPress, Impreza theme). These specific issues are holding back both your AI visibility and how the site converts.
The site runs on the Impreza theme, which injects large volumes of inline CSS and JavaScript on every page. Combined with HubSpot tracking, Google Site Kit, Contact Form 7, and Complianz cookie consent scripts, the homepage carries significant render-blocking payload. This slows page load, hurts Core Web Vitals scores, and reduces crawl efficiency for both search engines and AI bots. A leaner theme or a properly optimised build would cut load times substantially, which directly impacts SEO rankings and AI crawl prioritisation.
The service pages at doccleaning.co.uk/services/commercial-cleaning/ and sub-pages (heritage, corporate, retail) carry basic Organization and BreadcrumbList schema but lack FAQ structured data. FAQ schema is one of the strongest signals for Google AI Overviews: pages with FAQ markup are significantly more likely to be pulled into AIO snippets. Adding FAQ sections with schema to each service vertical page ("What does heritage building cleaning involve?", "How do you handle cleaning around priceless artworks?") would directly increase AIO appearances.
The Clients page at doccleaning.co.uk/clients shows testimonial quotes from Savills, CBRE, and the National Gallery, but offers no detailed case studies with measurable outcomes. AI models and search engines favour structured case studies with specific results ("reduced cleaning costs by X%," "maintained Grade I listed building to Y standard"). The current testimonial-only format wastes some of DOC's most powerful proof points. Converting these into full case study pages with structured data would create high-authority content that AI models actively cite.
WordPress is a core strength at Saigon Digital. Fixing the issues above is part of the work, not a separate project. We handle the AI visibility, the SEO, and the WordPress site itself, all under one roof. Theme optimisation, structured data, page speed, content architecture: it all connects.
This audit shows the problem. Fixing it means more than AI alone: the website, the SEO, and the AI visibility all work together. We handle all three, then keep it growing.
DOC Cleaning has a Royal Warrant, 50+ years of heritage, clients like the National Gallery and the National Theatre, and 1,500+ staff nationwide. Yet only 29 keywords rank, AI platforms do not recommend you, and competitors with a fraction of your credentials are winning the visibility race. The gap is closeable, fast, because the authority already exists: it just needs to be made discoverable. We typically start with a fixed-price foundation sprint covering AI/GEO visibility, SEO, and website repositioning, then a monthly retainer to keep growing and maintain the site. A 30-minute call is all it takes to map it out.
Nick Rowe · CEO & Co-Founder, Saigon Digital
A fixed-price 3-month sprint: build category-defining content, create llms.txt, add FAQ schema across all service pages, optimise the WordPress theme for speed and AI crawlability, and publish sector-specific landing pages that rank. One scope, one price, measurable results.
A simple monthly retainer once the foundation is set: continued SEO and AI visibility growth, content publishing, third-party editorial placement, review generation, and WordPress maintenance and support. Rolling monthly, no long lock-in.
Every month your competitors publish more content and build more authority signals, the gap widens. Cleanology is growing its review profile aggressively, Citywide Cleaning is publishing comparison content targeting your exact client base, and Sodexo's content machine never stops. AI models are training on content published now, so delay compounds the problem. With only 29 keywords ranking today, every week of inaction is a week competitors are being recommended and you are not.