AI Visibility Audit
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Prepared by saigon.digital · April 2026
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Your customers are no longer just searching on Google — they're asking AI which companies to shortlist. This audit shows exactly where you stand, who's winning, and what to do next.
Saigon Digital transformed how Ski.com shows up online. Beyond rebuilding our platform, they helped us rethink our entire search and AI visibility strategy. We saw a significant uplift in organic traffic, our content started appearing in AI-generated travel recommendations, and the quality of inbound leads improved dramatically. They understand where digital discovery is heading and how to turn visibility into real commercial results.
See how we've helped brands grow. Read our case studies and learn more about what we do.
View Case StudiesA snapshot of where Advantage Business Systems stands in the AI search era — and the opportunity cost of the current gap.
Advantage has 25 years of Microsoft partnership and a 94% client retention rate — but when UK business owners ask AI which Dynamics 365 partner to choose, competitors like Dynamics Square and ANS appear first. Your expertise is real; your AI visibility doesn't reflect it. Every month this gap persists, AI models train on competitor content — making the gap harder to close.
We tested how Advantage Business Systems appears when potential customers ask AI tools to recommend Microsoft Solutions Partner / Managed IT providers in London, United Kingdom. Here's what we found.
ChatGPT recommends Dynamics Square, TNP, ANS, and Synergy Technology for Dynamics 365 queries. Advantage is not mentioned in any tested category.
Advantage appears in Google AIO results for Power Platform queries, but is absent from Business Central, managed IT, and cybersecurity searches.
Perplexity surfaces competitors with stronger blog content and third-party directory listings. Advantage lacks the content depth and external citations needed.
Gemini draws on structured authority content and review platforms. Advantage has minimal presence on G2, Clutch, or Trustpilot — key sources for Gemini recommendations.
1 / 4 platforms currently surface Advantage Business Systems in relevant AI-generated recommendations.
Structured authority content, third-party mentions, FAQ pages, and consistent brand signals across the web — all of which competitors currently have more of.
We ran the exact searches your buyers use when asking AI tools to recommend a solution. Here's who appeared — and whether Advantage Business Systems was in the answer.
Advantage appears in only 1 of 4 high-intent buyer queries. Competitors with aggressive content strategies — especially Dynamics Square (250+ blog posts) and ANS (DR 70) — dominate across categories. The gap is driven by content volume, third-party citations, and domain authority.
Advantage's Power Platform visibility proves the model works — your dedicated service page ranks. Replicating this approach across Business Central, managed IT, and cybersecurity with comparison content, FAQ schema, and third-party listings could unlock visibility across all four query types within 60–90 days.
These are the companies currently winning AI recommendations in your market. Understanding why they're cited — and you're not — reveals the exact gap to close.
| Company | DR | ChatGPT | Google AIO | Perplexity | Why They Win |
|---|---|---|---|---|---|
| Advantage Business Systems You | 30 | Not Cited | Partial | Not Cited | Audit target |
| Dynamics Square | 34 | Cited | Appearing | Cited | 250+ SEO-optimised blog posts, comparison pages, heavy content marketing investment |
| ANS Group | 70 | Cited | Appearing | Cited | Highest DR in class, enterprise-backed authority, Preact acquisition, broad service portfolio |
| TVision Technology | 43 | Partial | Partial | Partial | Strong DR from 20+ year brand, Microsoft Gold Partner heritage, case study depth |
| Synergy Technology | 31 | Cited | Appearing | Partial | Appears across multiple service categories, strong multi-solution positioning, 20+ years |
| TNP (The 365 People) | 34 | Cited | Appearing | Partial | Leading NAV/Business Central specialist, 700+ clients, strong industry directory presence |
Badge key: Cited Partial Not Cited
These are the highest-leverage changes Advantage Business Systems can make right now to start appearing in AI-generated recommendations within 30–90 days.
Create 4–6 comparison and "best for" pages targeting the exact queries buyers ask AI tools: "best Business Central partner UK", "Dynamics 365 vs NetSuite for SMEs", "managed IT support London". Include structured FAQ schema, competitor comparisons, and clear positioning. This is exactly what Dynamics Square does to dominate AI citations.
Get listed on MSDynamicsWorld, ERPResearch, Clutch, G2, and CloudTango. These are the exact sources AI models cite when recommending Microsoft partners. Claim profiles, collect 10–15 client reviews, and ensure consistent NAP and service descriptions. This builds the external authority signals AI platforms need to trust your brand.
Publish 3–5 detailed case studies with measurable outcomes (e.g. "How we saved X 40% on ERP costs"). Pitch to Microsoft community blogs, IT Pro publications, and partner directories. Each quality backlink moves DR upward and increases the likelihood of AI citation. Target DR 40+ within 90 days.
This audit shows the problem. We have a clear strategy to fix it — and results typically show within the first 60 days of engagement.
Advantage Business Systems has a clear path to AI search visibility. The gap to competitors is real — but it's also closeable. We've done this for businesses across London, United Kingdom and similar markets. A 30-minute call is all it takes to map out a plan.
Nick Rowe · CEO & Co-Founder, Saigon Digital
Full GEO strategy, content plan, authority-building roadmap, and monthly performance reporting — all focused on AI search visibility.
Most clients start seeing AI citation improvements within 45–60 days. Full competitive parity typically achieved in 90–120 days.
Every month your competitors build more authority signals, the gap widens. AI models are training on content published now — delay compounds the problem.