TAHO
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 has been a valuable partner in strengthening our digital presence and thinking more strategically about visibility in modern search. Their team understands not just websites and SEO, but where search is heading — especially with AI-driven discovery changing how families research schools. They brought practical recommendations and a strong commercial mindset around admissions ROI, school visits, and enquiry generation. We were impressed by their ability to connect technical execution with real outcomes for brand awareness and parent engagement.
See how we've helped brands grow. Read our case studies and learn more about what we do.
View Case StudiesA snapshot of where TAHO stands in the AI search era — and the opportunity cost of the current gap.
Hi Jason — TAHO has built a genuinely category-defining technology (scheduler-less decentralized execution, 2-10× faster, up to 50% cheaper), but when AI engineers ask ChatGPT, Gemini, Perplexity or Google "how do I cut my GPU costs?" — TAHO does not appear in a single answer. Run:ai, Anyscale, Modal and CoreWeave own every shortlist.
We tested how TAHO appears when potential customers ask AI tools to recommend AI/HPC Compute Infrastructure providers in Global / United States. Here's what we found.
TAHO does not surface in any tested cost, orchestration or decentralized compute prompts.
AI Overviews surface CoreWeave, Modal, Anyscale and Run:ai — TAHO is invisible.
No Perplexity citations across any HPC/AI compute optimisation prompts.
Gemini relies on Google index signals — with DR 14 and 124 referring domains, TAHO is below the citation threshold.
0 / 4 platforms currently surface TAHO 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 TAHO was in the answer.
Across every high-intent buyer query — cost, orchestration, decentralized compute — incumbents like CoreWeave, Modal, Anyscale and Run:ai dominate. TAHO does not appear in a single AI answer despite having a genuinely differentiated technology (scheduler-less decentralized execution).
TAHO's "no-scheduler" decentralized execution story is a category-defining narrative — but it has zero presence in the content layer that LLMs ingest. Owning that narrative on G2, Hacker News, dev.to, Reddit and YouTube would put TAHO directly into AI shortlists in 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 |
|---|---|---|---|---|---|
| TAHO You | 14 | Not Cited | Not Appearing | Not Cited | Audit target |
| Together AI | 79 | Cited | Appearing | Cited | Massive technical blog footprint, open-source releases, dominant in inference benchmarks. |
| Modal | 75 | Cited | Appearing | Cited | Strong DX content, prolific tutorials, active developer community on X and Reddit. |
| CoreWeave | 73 | Cited | Appearing | Cited | Tier-1 press coverage and analyst reports made them the default "GPU cloud" answer. |
| Anyscale | 73 | Cited | Appearing | Cited | Owns the "Ray" ecosystem narrative — every orchestration article links back to them. |
| Run:ai | 68 | Cited | Appearing | Partial | NVIDIA acquisition cemented them as the canonical answer for GPU orchestration. |
Badge key: Cited Partial Not Cited
These are the highest-leverage changes TAHO can make right now to start appearing in AI-generated recommendations within 30–90 days.
A 6-piece technical content series (TAHO vs Run:ai, vs Slurm, vs Kubernetes scheduling) seeded on dev.to, HN, Reddit r/MachineLearning, and your own blog. This is the exact content shape LLMs cite when answering "alternatives to X" queries.
These three sources are among the most-cited domains in AI answers for "best [category] software". Five real customer reviews on G2 alone unlocks visibility in dozens of buyer queries.
Place Jason on 4–6 AI infra podcasts (Latent Space, MLOps Community, Practical AI) and pitch The New Stack / VentureBeat. Each placement compounds DR and trains LLMs that TAHO is a credible answer.
This audit shows the problem. We have a clear strategy to fix it — and results typically show within the first 60 days of engagement.
TAHO 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 Global / United States 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.