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Investment-Grade TAM/SAM/SOM Showdown
We ran the same board-ready market sizing prompt through AIresearchOS, ChatGPT, Gemini, and Perplexity—then had Grok evaluate all four outputs for CFO-audit readiness.
Research Brief
Topic
Investment-Grade TAM/SAM/SOM for AI-Powered Customer Support Automation (Ecommerce)
Key Requirements
- 3-layer market definition (Core AI automation → Category → Spend-capture) with spend broken into helpdesk + AI add-ons + services
- Segmentation by company size (SMB/mid-market/enterprise), region (US vs UK/EU), channel mix (ticket/chat/omni)
- Triangulated sizing using 3 methods (bottom-up, top-down, vendor signals) with explicit reconciliation
- SAM/SOM with 5-year capture model, adoption curves, GTM constraints, base/conservative/aggressive scenarios
- Full assumptions table with every variable defined and cited; spreadsheet-style model tables
Grok Investment-Grade Scorecard
Grok evaluated all four outputs on criteria critical for board/CFO-level market sizing: decision readiness, methodological rigor, model usability, and source discipline.
9.0
Weighted Score
9/10
Decision Ready
9/10
Methodology
220+
Citations
0
Red Flags
| Criteria | Weight | AIresearchOS | Gemini | Perplexity | ChatGPT |
|---|---|---|---|---|---|
| Investment-Grade Decision Readiness | 30% | 9 | 8 | 7 | 6 |
| Methodological Rigor & Reconciliation | 25% | 9 | 7 | 8 | 5 |
| Assumptions, Transparency & Model Usability | 20% | 9 | 8 | 7 | 6 |
| Credibility & Source Discipline | 20% | 9 | 7 | 8 | 6 |
| Weighted Total | 100% | 9.0 | 7.5 | 7.5 | 5.7 |
Why AIresearchOS Won
Grok's analysis of what made the AIresearchOS report investment-grade
Top Strengths (per Grok)
- Exact GMV cutoffs per spec (SMB $1M-25M, mid-market $25M-250M, enterprise $250M+)
- 3-method triangulation with vendor signals (Gartner, IDC anchors) and explicit reconciliation
- Full uncertainty quantification: ranges, confidence ratings, AI scenarios with deflection/agent-assist separated (84-92% resolution)
- 50+ variables cited with full Inputs/Calcs/Outputs model tables—Excel-portable
- 220+ reputable citations (Gartner, IDC) with clear confirmed vs estimated separation
Competitor Red Flags (per Grok)
- ChatGPT: "Single-method feel"—no clear third method or reconciliation; hidden assumptions like "roughly 1 rep per $1-2M" not cited rigorously
- Perplexity: Hidden assumptions in bottom-up (# companies × spend not fully broken out); no deflection/agent-assist separation
- Gemini: Reconciliation "implied via narrative but not quantified"; mid-market GMV cutoff off-spec ($50M-1B vs $25M-250M)
Grok's Verdict
"AIresearchOS exemplifies investment-grade quality through defensible math, transparent reconciliation, and comprehensive coverage of the spec, including separated scenarios and extensive citations, making it a benchmark for auditability and board utility without major red flags."
Includes 1 rerun if you want to refine your question
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