sales-skills/sales-venturusai

VenturusAI Platform Help

VenturusAI (venturusai.com) is an AI business-idea validator built on classic strategy frameworks. You paste an idea (or business description) and it generates a report applying SWOT, PESTEL, Porter's Five Forces, and VRIO, plus TAM/SAM/SOM market sizing, target-audience personas (user stories + demographics), financial projections (startup cost, revenue, breakeven), a marketing/branding pass (slogans, social examples), and — on Advanced reports — a deeper MVP + GTM plan and a pitch deck. It's a pure-LLM tool (GPT-3.5/4 class) with no source citations — the analysis is the model's reasoning over frameworks, not evidence scraped from live sources, and its scores tend to skew encouraging. Reports come in two depths (Standard vs Advanced), download as PDF (watermarked on the free tier), and are gated by monthly quotas and idea character limits per plan. API access exists on the Enterprise plan but is undocumented publicly.

Step 1 — Gather context

If references/learnings.md exists, read it first for accumulated platform knowledge.

Ask only what you can't infer:

1. What do you want from VenturusAI?
   • A) Run an idea and interpret the report — SWOT/PESTEL/Porter/VRIO, personas, sizing, or the score
   • B) Understand the tiers — free Starter vs Lite vs Pro vs Enterprise (reports/mo, char limits, API)
   • C) Compare Standard vs Advanced reports (what the Advanced upgrade actually adds)
   • D) Export or automate report generation (the API reality)
2. What's the real question — "is this idea worth building?" or "how do I use this tool?" If it's the go/no-go decision itself, that's /sales-idea-validation (a validator's output is a gut check, not demand) — route in Step 2.

Skip-ahead: if the user wants the validate-before-building method or to compare validators across the whole market to pick one, that's a /sales-idea-validation question — route immediately.

Step 2 — Route or answer directly

| If the user's question is about… | Route to | |---|---| | The validate-before-building method, or the go/no-go decision itself | /sales-idea-validation {question} | | A full cross-market ranking of validators (Preuve, IdeaProof, Validator AI, DimeADozen… to pick one) — but answer a quick VenturusAI-vs-X how-they-differ inline first (Step 4) | /sales-idea-validation {question} | | Building the smoke-test / fake-door landing page to test real demand | /sales-funnel {question} | | Growing a pre-launch waitlist / capturing real demand | /sales-audience-growth {question} |

When routing, give the exact command: "This is a {domain} question — run: /sales-idea-validation {original question}"

Otherwise, answer VenturusAI-specific questions using Step 3.

Step 3 — VenturusAI platform reference

Read references/platform-guide.md for the full reference — the framework set (SWOT/PESTEL/Porter/VRIO) and what each section contains, Standard vs Advanced report contents, target-audience/persona and financial outputs, the Starter/Lite/Pro/Enterprise tiers with reports-per-month and character limits, the Enterprise-only-and-undocumented API reality, and how to feed it a rich input to avoid generic output.

Answer using only the relevant section — don't dump the full reference.

Step 4 — Actionable guidance

• Treat the report as a framework-structured AI opinion, not evidence. VenturusAI's value is that it organizes an idea into SWOT/PESTEL/Porter/VRIO with sizing and personas fast — good for spotting blind spots and sharpening the pitch. But it's a pure-LLM tool with no source citations, so every "fact" (market size, competitor, retention) is the model's guess. Tell the user to keep the structured outputs (SWOT, competitor list, risks, GTM angle) to sharpen the pitch and put the go/no-go on a real demand test (smoke test / pre-sale) — route the decision to /sales-idea-validation and the build to /sales-funnel.
• Warn that the score skews encouraging. VenturusAI's output tends to be positive/feel-good, and it will "validate" almost any idea if the input sounds plausible. A high score is not demand. Say so explicitly and push the user to a real-behavior test rather than trusting the verdict.
• The single biggest lever is input richness — coach it. The #1 complaint is generic output, and it's almost always caused by a thin one-line input. Tell the user to feed a detailed description (target customer, the specific problem, how it's solved today, business model) and to use the higher character limits on paid tiers (Starter caps ideas at ~1,000 chars; Pro allows ~10,000). Richer input in → specific analysis out. Present any tier/character-limit figures as best-effort and point the user to venturusai.com/plans to confirm current numbers before they pick a plan.
• When asked how it compares to a cited/evidence validator, give the contrast inline, then offer the route. If the user asks VenturusAI vs Preuve / IdeaProof / DimeADozen, answer how they differ directly: VenturusAI runs classic frameworks (SWOT/PESTEL/Porter/VRIO) with no source-linking and encouraging scores, whereas Preuve cites every claim to 50+ live sources and scores conservatively, and DimeADozen is a one-time citation-backed report you buy and keep. Tell the user to pick by framework breadth/speed vs evidence rigor, then offer /sales-idea-validation for a full ranking. Don't just route away.
• Present all pricing/tiers as best-effort and point to the plans page. VenturusAI's tiers, quotas, and character limits move and differ between sources — present any figure as best-effort and point the user to venturusai.com/plans to confirm. Frame the tiers around what breaks: the free Starter is ~2 reports/mo with a tight character cap and a watermarked PDF; Advanced reports (MVP/GTM/financial depth) and higher quotas need a paid plan; API + multi-user + custom watermark are Enterprise-only.
• There's no usable public API — don't plan an integration around it. If asked to export or automate, say plainly that API access is an Enterprise-plan feature but there is no public API documentation (api.venturusai.com sits behind auth and redirects), and no webhooks/Zapier/MCP are documented. The only reliable export is the downloadable PDF. If programmatic batch validation matters, choose a tool built for it; and remember the thing worth automating is the real demand signal (landing-page analytics), not the report — route that to /sales-funnel.

If you discover a gotcha or tip not in references/learnings.md, append it there with today's date.

Gotchas

Best-effort from research (2026-07) — VenturusAI's tiers, quotas, character limits, and features move; verify at venturusai.com/plans.

• No source citations — it's a pure-LLM opinion. Unlike cited validators (Preuve, DimeADozen), every claim (market size, competitors, retention) is the model's guess, not scraped evidence. Follow any score with a real-behavior test (smoke test / pre-sale).
• Scores skew encouraging. Output tends to be positive/feel-good and will "validate" most ideas — a high score is not demand. Read it as directional and settle the go/no-go with real behavior.
• Generic output = thin input. The most common complaint; a one-line idea produces vague analysis. Feed a detailed description and use the paid tiers' higher character limits to get specific output.
• Standard vs Advanced is the real gate. Standard reports give the framework analysis; Advanced reports (limited per plan) add the deeper MVP/GTM plan, richer financials, and pitch deck. Free Starter gives Standard only.
• Free tier is tight. ~2 Standard reports/month, a ~1,000-character idea cap, and a watermarked PDF; no Advanced reports, no API, no custom watermark.
• API is Enterprise-only and undocumented. API access is a paid Enterprise feature, but there's no public API reference, no documented webhooks, and no Zapier/MCP — treat it as unusable for a DIY integration and contact VenturusAI support if you're on Enterprise.
• Text-only. It analyzes a written description; it can't ingest images, mockups, videos, or prototypes, and it misses nuance in highly specialized/regulated industries.

Related skills

• /sales-idea-validation — The tool-agnostic validate-before-building method + the full validator landscape (use this to actually decide build-or-not; a validator's output is a gut check, not demand)
• /sales-preuve — Preuve AI platform help (the cite-every-claim, conservative-score contrast to VenturusAI's framework-driven, no-citation, encouraging-score model)
• /sales-ideaproof — IdeaProof platform help (fast 120s score + broad pre-launch suite — the speed/breadth sibling)
• /sales-dimeadozen — DimeADozen platform help (one-time, keep-forever citation-backed report — the evidence-with-receipts sibling)
• /sales-validator-ai — Validator AI platform help (a free score-and-report validator — the fast-score sibling)
• /sales-funnel — Build the smoke-test / fake-door landing page the real demand test runs on
• /sales-audience-growth — Grow a pre-launch waitlist and capture real demand
• /sales-do — Not sure which skill to use? The router matches any sales objective to the right skill. Install: npx skills add sales-skills/sales --skill sales-do -a claude-code

Examples

Example 1: "VenturusAI gave my idea a strong SWOT and a good score — should I build it?"

User says: "I ran my idea through VenturusAI, the SWOT looks great and it gave me a positive score. Good to go?" Skill does: Credits the framework structure (SWOT/PESTEL/Porter/VRIO) as useful for spotting blind spots and sharpening the pitch, but reframes the verdict: VenturusAI is a pure-LLM tool with no source citations and its scores skew encouraging, so the positive read reflects the model, not the market. Tells the user to keep the structured outputs (SWOT, competitors, risks, GTM angle) and earn a real go/no-go with a smoke-test landing page (pre-set ≥5% join threshold) or a pre-sale — routing the decision to /sales-idea-validation and the build to /sales-funnel. Result: The founder uses the analysis to sharpen, and decides on stranger behavior, not the score.

Example 2: "Can I batch 20 ideas through VenturusAI and pull the reports via the API?" (developer/automation)

User says: "I want to script VenturusAI to run 20 ideas and pull each report into a database via the API or a webhook." Skill does: States plainly that API access is an Enterprise-plan feature but there is no public API documentation (api.venturusai.com is behind auth and redirects to the homepage), and no webhooks, Zapier, or MCP server are documented — so there's no supported DIY way to batch or export programmatically. Notes the only reliable export is the downloadable PDF, and suggests that if programmatic validation is essential, use a tool built for it. Adds that the thing actually worth automating is a real demand signal (landing-page analytics), not a generated report — pointing to /sales-idea-validation and /sales-funnel. Result: The user avoids planning an integration around an undocumented API and picks a workable path.

Example 3: "Why is my VenturusAI report so generic, and is the paid plan worth it?" (output quality / tiers)

User says: "My VenturusAI report is vague and could apply to any startup. Will paying fix it?" Skill does: Explains that generic output almost always traces to a thin input — a one-line idea — and that the fix is a detailed description (target customer, specific problem, how it's solved today, business model) plus the higher character limits on paid tiers (Starter caps ideas at ~1,000 chars; Pro allows ~10,000). Notes the real paid upgrade is Advanced reports (deeper MVP/GTM/financials + pitch deck) and more reports/month, and presents all tier figures as best-effort, pointing to venturusai.com/plans. Result: The user gets specific output by enriching the input, and understands what a paid plan actually adds.

Troubleshooting

"My VenturusAI report reads generic — it could describe any startup"

Symptom: The analysis is vague and not specific to the idea. Cause: A thin, one-line input — VenturusAI reasons over whatever you give it, so a short description yields a short, generic report. The free tier's ~1,000-character cap makes this worse. Solution: Feed a detailed description — target customer, the exact problem, how people solve it today, the business model — and use a paid tier's higher character limit (Pro ~10,000). Then keep the structured sections (SWOT, competitors, risks) and still settle the go/no-go with a real demand test via /sales-idea-validation.

"The score seems too positive to trust"

Symptom: A glowing, encouraging report the founder senses is too easy. Cause: VenturusAI is a pure-LLM validator with no source citations and its scores skew encouraging — it pattern-matches to plausible-sounding optimism and can invent supporting "facts" (market size, demand). Solution: Discard the verdict, keep the framework outputs to sharpen the pitch, and earn a real one — run a smoke test to a pre-set conversion threshold and attempt a pre-sale. Cross-check with a cited validator (/sales-preuve) or a real-demand signal (/sales-trendseeker); disagreement is the useful information.

"I'm on Enterprise and want to use the API — where are the docs?"

Symptom: Paid for API access but can't find developer documentation. Cause: VenturusAI gates API access to the Enterprise plan but publishes no public API reference; api.venturusai.com sits behind auth and redirects, and no webhooks/Zapier/MCP are documented. Solution: Contact VenturusAI support/Help Centre directly for API credentials and endpoint docs — there's no self-serve reference to build against. For anything you'd script today, export the PDF manually, and if programmatic batch validation is core to your workflow, pick a validator built for it.