We applied our own methodology to ourselves.
USD 1,500 / 5-day works today. Tomorrow it's structurally squeezed: above by USD 200/month Pro AI seats (ChatGPT Pro, Claude Max, Manus Extended — each USD 2,400/year, 1.6× one Vantage report), below by Singapore senior-analyst day rates of SGD 1,500–3,000. The defensible re-pitch isn't "we research your competitors." It's methodology install + SG-licensed accountability + PSG eligibility. The first cheque is foot-in-door; the moat monetises in the quarterly refresh.
Read the audit → Pricing thesis
The price is squeezed from both sides.
USD 1,500 sits between the ceiling set by AI-native subscriptions (USD 2,400/year buys "unlimited" Deep Research) and the floor set by Singapore senior analysts (SGD 1,500–3,000/day means a 5-day engagement starts at SGD 7,500). On raw research volume we lose to the subs in 12 months. On primary fieldwork we lose to the boutiques today. The question this audit answers is: what's left, and is it defensible.
Every alternative is squeezing us.
The earlier version of this page framed competitors as "wrong for businesses your size." That was the seller's voice. The audit's voice is different: each of these is a real threat to USD 1,500 / 5-day Vantage. Threat scores are from competitors.json → top_five[].
AI-native subscriptions
ChatGPT Pro USD 200/mo with 250 Deep Research runs. Claude Max USD 200/mo. Manus Extended USD 200/mo with 40k credits and SG nexus. A literate buyer extracts 70–80% of one Vantage artefact per annual seat — for the cost of 1.6 Vantage reports they get a year of unlimited research.
CrewAI · LangGraph · Claude Skills
Free OSS frameworks plus Anthropic's marketplace (4,200+ Claude Skills, 770+ MCP servers, 2,500+ marketplaces as of Q2 2026). Anyone with one engineer can fork an equivalent template in a weekend. The 9-agent pipeline is not the moat.
Asia Insight · Kadence SG
30-year-old MRSS-accredited Singapore boutiques. SGD 5–25k typical project, real local fieldwork. Same procurement category, same approval threshold, same delivery window. They don't need to win on price — they win on "we sat in the room."
Frost & Sullivan custom
USD 15–25k branded report. The CFO signs without questions. Brand recognition does the work that methodology rigor cannot do for a risk-averse mid-market buyer. We don't beat F&S on logo; we have to win on something else entirely.
It's not "better LLM output." That moat doesn't exist.
Across the 34-competitor sweep, only four defensibility lines hold up under the squeeze. Each has a falsifier — what kills it if we don't address it.
"Stop selling 'we research your competitors.' Start selling the methodology install with SG-licensed quarterly refresh. USD 1,500 is foot-in-door. The moat monetises in the second and third refresh."— The repositioning, in one line
Sell the process, not the deliverable.
The first USD 1,500 isn't the price. It's the cost of getting the buyer to install the methodology. The price card has to reflect that — or every $200/mo AI subscription erodes our deliverable pitch by Q4 2026.
The deliverable pitch (legacy)
"Buy 30 competitor profiles + TAM/SAM/SOM + whitespace atlas + design audit for USD 1,500." This is what the previous showcase sold. Audit verdict: ChatGPT Pro at USD 2,400/year produces 70–80% of this output. Position is structurally indefensible by Q4 2026.
The methodology pitch (recommended)
"Install the FIELD-DICTIONARY + 9-agent specs + JSON handoff in your stack, with a SG-licensed analyst on signature for accountability and quarterly refresh on retainer." The buyer keeps the rerun protocol. AI subs cannot offer signed accountability. SaaS cannot offer the data shape.
The compounding tier
USD 1,500 one-shot is foot-in-door. The recurring price (Quarterly Refresh on the pricing thesis) is where the moat monetises — quarter 2 and quarter 3 are where the buyer realises they've outsourced the rerun protocol they don't want to maintain themselves. Lift the recurring tier price, hold the entry-tier price.
The PSG callout, prominently
SG SME effective price USD 750 (post-50% PSG) is below one ChatGPT Pro annual seat. This is the single decisive number on the price card for the SG SME founder persona. Bury it under the table and we lose the structural advantage that makes the rest of the pitch coherent.
Read the audit data,
not just the verdict.
Every claim above is sourced in the working dataset: 34 competitor profiles, 5 personas with NBA arithmetic, the squeeze table by bucket, and the moat falsifiers in full. The admin is the working tool. The PDF is the board pack. Both ship together.