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AI Visibility Audit
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Prepared by saigon.digital · April 2026
This report is confidential. Enter the access code provided by Saigon Digital to continue.
Your clients are no longer just searching Google — they're asking AI which firms to shortlist. This audit shows exactly where you stand, who's winning, and what to do next.
A snapshot of where Spatial Decisions stands in the AI search era — and the opportunity cost of the current gap.
Spatial Decisions has 25+ years of GIS consulting expertise, offices spanning India, Vietnam, Canada and Dubai, and project credentials with the ADB and World Bank — yet when a government planner or development agency asks ChatGPT, Gemini or Google AIO for the best GIS consulting firm for urban planning, Esri, Trimble, Hexagon and Cyient are recommended instead. The expertise is world-class; the AI narrative is invisible.
We tested how Spatial Decisions appears when potential clients ask AI tools to recommend GIS and geospatial consulting providers. Here's what we found.
ChatGPT defaults to Esri, Trimble, Hexagon and global GIS platforms. Spatial Decisions does not surface even in region-specific queries.
Google AIO results for GIS consulting and smart city queries list Egis, Cyient, RMSI and Urban SDK — Spatial Decisions is absent.
Perplexity draws from web-indexed content. With only 1 ranking keyword, Spatial Decisions has no footprint for Perplexity to cite.
Gemini recommendations mirror Google’s organic index. Zero organic traffic means zero Gemini visibility.
0 / 4 platforms currently surface Spatial Decisions in relevant AI-generated recommendations.
Structured authority content, third-party mentions on GIS industry directories, case study pages, FAQ schema, and consistent brand signals across Clutch, G2, and geospatial publications.
We ran the exact searches your potential clients use when asking AI tools to recommend a GIS consulting partner. Here's who appeared — and whether Spatial Decisions was in the answer.
Spatial Decisions is absent from every tested query — across all four AI platforms. Despite 25 years of expertise, the firm has virtually no digital content indexed for the buyer-intent queries that drive AI recommendations.
Building 8–10 structured service pages (“GIS for urban planning”, “smart city consulting Vietnam”), publishing case studies, and securing listings on Clutch and GIS industry directories would create the content foundation AI platforms need to cite you.
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 |
|---|---|---|---|---|---|
| Spatial Decisions You | 21 | Not Cited | Not Appearing | Not Cited | Audit target |
| Esri | 91 | Cited | Appearing | Cited | Category-defining GIS brand — ArcGIS dominates every AI answer for geospatial solutions. |
| Trimble | 87 | Cited | Appearing | Cited | Massive content ecosystem + hardware-software integration narrative owns “geospatial technology”. |
| Hexagon | 82 | Cited | Appearing | Cited | Smart city and autonomous solutions content positions them as the enterprise GIS leader. |
| Cyient | 67 | Cited | Appearing | Cited | India-origin firm with strong smart city GIS narrative; Clutch/G2 profiles + case studies drive AI citations. |
| RMSI | 41 | Partial | Partial | Partial | Despite lower DR, wins partial AI mentions through GIS directory listings and focused service pages. |
Badge key: Cited Partial Not Cited
These are the highest-leverage changes Spatial Decisions can make right now to start appearing in AI-generated recommendations within 30–90 days.
Create 8–10 structured pages targeting high-intent queries: “GIS consulting for urban planning”, “smart city GIS solutions Vietnam”, “climate resilience spatial analysis”. Each page should include FAQ schema, clear outcomes, and client logos. Publish detailed case studies for ADB, World Bank, and government projects.
Get listed on Clutch, GoodFirms, and GIS industry directories (BootcampGIS Top 100, Inven Top 23 GIS Firms, ensun Top 100). Pitch to Architizer, GlobalConsultantsReview, and 12thWonder whose “Best GIS Companies” listicles feed LLM training data. Target 10+ placements.
Publish articles on GIS for climate resilience, smart city planning in Vietnam, and urban development in ASEAN — syndicated to LinkedIn, Medium, and GIS industry publications. Target 30+ new referring domains to lift DR from 21 toward 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.
Spatial Decisions has 25 years of expertise that AI platforms don’t know about yet. The gap to competitors is significant — but it’s closeable with the right content and authority strategy. We’ve done this for consulting firms across Asia-Pacific. A 30-minute call is all it takes to map out a plan.
Full GEO strategy, content plan, authority-building roadmap, and monthly performance reporting — all focused on AI search visibility for GIS consulting firms.
Most clients start seeing AI citation improvements within 45–60 days. Full competitive parity with mid-tier competitors (RMSI, Egis) typically achieved in 90–120 days.
Every month competitors build more authority signals, the gap widens. AI models are training on content published now — with DR 21 and 1 ranking keyword, delay compounds the problem exponentially.