AI Visibility Audit
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Prepared by saigon.digital · July 2026
This report is confidential. Enter the access code provided by Saigon Digital to continue.
Your customers are no longer just searching on Google, they are asking AI which 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 Canary Technologies stands in the AI search era, and the opportunity cost of the current gap.
Canary Technologies has the strongest domain authority in its competitive set (DR 70) and dominates Hotel Tech Report award rankings, yet your robots.txt actively blocks every major AI crawler: GPTBot, ClaudeBot, PerplexityBot, and Google-Extended. This means the AI models that your buyers increasingly rely on cannot crawl your site directly. You have an llms.txt file in place, which is a positive signal, but while the front door is locked the AI models are forced to learn about Canary from third-party sources alone, giving competitors who allow AI access a structural advantage.
We tested how Canary Technologies appears when potential hotel buyers ask AI tools to recommend hospitality technology solutions. Here is what we found across each platform.
ChatGPT mentions Canary in some hotel tech queries, particularly around contactless check-in and digital tipping. However, for broader "best hotel technology platform" queries, it leads with competitors like Duve, Mews, and HiJiffy that have deeper educational content ChatGPT can reference.
Google AIO consistently surfaces Canary in product-specific queries via Hotel Tech Report rankings. Canary appears #1 for contactless check-in, digital tipping, and upselling software. Broader "hotel technology platform" queries still favour competitors with wider editorial coverage.
Perplexity cites Canary when pulling from Hotel Tech Report rankings and award listings, but for educational "how to" queries about hotel technology, competitors with stronger blog content and learning centres get cited instead. PerplexityBot is blocked from crawling the Canary site directly.
Gemini occasionally references Canary in hotel tech recommendation lists but favours solutions with more third-party editorial coverage and detailed comparison content. Google-Extended (Gemini's crawler) is blocked in robots.txt, limiting direct content access.
2 of 4 platforms consistently surface Canary Technologies in relevant AI-generated recommendations. Google AIO is the strongest channel thanks to Hotel Tech Report dominance. ChatGPT, Perplexity, and Gemini show only partial or inconsistent results.
Your robots.txt currently blocks GPTBot, ClaudeBot, PerplexityBot, and Google-Extended. Unblocking these crawlers would give AI models direct access to your product pages, case studies, and content, immediately improving citation accuracy and frequency across all four platforms.
We ran the exact searches your hotel-buyer prospects use when asking AI tools to recommend a solution. Here is who appeared, and whether Canary Technologies was in the answer.
Canary wins on narrow, product-specific queries where Hotel Tech Report awards drive the citation (contactless check-in, digital tipping, upselling). But on broader, category-level queries like "hotel guest management platform with AI," competitors with deeper educational content and dedicated learning resources capture the top positions. This is the gap between being an award winner and being an authority.
Hotel operators start with broad, exploratory queries before narrowing: "best hotel technology platform" comes before "best contactless check-in software." Winning the broad layer would capture buyers earlier in the decision process, before they even discover Canary exists. With 20,000+ hotels in 125+ countries, Canary has more real-world data and case studies than any competitor, but this authority is not being surfaced in content AI models can access.
These are the companies currently winning AI recommendations in your market. Understanding why they are cited, and where Canary is not, reveals the exact gap to close.
| Company | DR | ChatGPT | Google AIO | Perplexity | Why They Win |
|---|---|---|---|---|---|
| Canary Technologies You | 70 | Partial | Appearing | Partial | Audit target |
| Duve | 61 | Cited | Cited | Cited | Dedicated Learning Center with comprehensive guides, $60M funding in 2025, deep educational content across guest management topics, strong third-party editorial coverage |
| Akia | 69 | Cited | Partial | Cited | High DR near Canary, niche authority in AI concierge messaging, strong content on automation use cases, allows full AI crawler access |
| HiJiffy | 59 | Cited | Cited | Partial | AI chatbot authority positioning, multilingual content, extensive hospitality publication mentions across Hospitality Net and industry outlets |
| Asksuite | 62 | Cited | Partial | Cited | #1 Hotel Chatbot seven consecutive years, 5,500+ hotel clients across 80+ countries, strong category-defining content on AI reservation assistants |
| Oaky | 52 | Partial | Cited | Cited | Category-defining upselling content, Plusgrade acquisition boosted authority, deep educational hub on revenue optimisation for hotels |
Badge key: Cited Partial Not Cited
These are the highest-leverage changes Canary Technologies can make right now to start dominating AI-generated recommendations within 30 to 90 days.
This is the single highest-ROI change available. GPTBot, ClaudeBot, PerplexityBot, and Google-Extended are all currently blocked. Updating robots.txt to allow these crawlers takes minutes, costs nothing, and immediately lets every major AI model read your product pages, case studies, integration documentation, and blog content. Combined with your existing llms.txt file, this would give Canary one of the most AI-ready configurations in the hospitality SaaS category.
Canary wins award rankings but loses on educational queries. Publish 8 to 10 long-form guides (2,500+ words) that own category terms: "The Complete Guide to Hotel Guest Management," "Contactless Check-In: Everything Hoteliers Need to Know," "Digital Tipping for Hotels: A Complete Guide." Include original data from your 20,000+ hotel install base and 6,547 verified reviews, something no competitor can replicate. AI models heavily favour original research and data-backed content.
Canary is heavily cited on Hotel Tech Report but underrepresented in broader hospitality and tech publications. Secure guest posts, expert commentary, and bylined articles in Hospitality Net, Hotel Dive, Skift, PhocusWire, and tech outlets like TechCrunch and VentureBeat. AI models weight third-party editorial mentions heavily when building recommendation lists, and diversifying beyond review aggregators strengthens your citation profile across all four platforms.
While auditing how AI sees Canary Technologies, we also looked at the website itself (Webflow). These specific issues are holding back both your AI visibility and how the site converts.
The current robots.txt at canarytechnologies.com blocks GPTBot (ChatGPT), ClaudeBot (Claude), PerplexityBot (Perplexity), and Google-Extended (Gemini). This is the most impactful technical issue we found: it prevents every major AI platform from reading your site content directly. While traditional search engines (Googlebot, Bingbot) are allowed, AI models are shut out entirely. This means the only way AI tools learn about Canary is through third-party sources like Hotel Tech Report, giving those sources complete control over how you are described.
The homepage partner logo carousel loads the same set of brand images multiple times over, inflating page weight unnecessarily. Combined with multiple analytics scripts, Google Tag Manager, and Webflow's JavaScript bundles, initial page load is heavier than it needs to be, particularly on mobile connections. Google Core Web Vitals penalties from excess page weight directly impact both SEO rankings and AI crawl efficiency.
Multiple images across the homepage lack descriptive alt text, including logo variations, partner logos, and award badges. This reduces accessibility compliance and means AI crawlers and search engines cannot understand what these images represent. For a site with strong visual branding around 20,000+ hotel partnerships and multiple HotelTechAward wins, these missing signals weaken the contextual authority your site communicates to both search engines and AI models.
Web development and Webflow are core strengths 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 website itself, all under one roof.
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.
Canary Technologies has a DR 70 domain, 20,000+ hotel customers, and #1 rankings across four HotelTechAward categories, yet AI crawlers cannot even read your website. The gap to competitors like Duve and HiJiffy is real but closeable, fast. We typically start with a fixed-price foundation sprint (AI/GEO visibility, SEO, and the website fixes above), then a simple 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: unblock AI crawlers, build category-defining content, fix the SEO foundations, and optimise the Webflow site for performance and AI readability. 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, and website maintenance and support. Rolling monthly, no long lock-in.
Every month your competitors build more authority signals, the gap widens. Duve raised $60M in late 2025 and is investing aggressively in content and AI visibility. AI models are training on content published now, so delay compounds the problem. With your robots.txt currently blocking AI crawlers, every day of inaction is a day competitors are being read and you are not.