comp-research-multi-step

name	comp-research-multi-step
description	Advanced multi-step competitive intelligence with 14 competitor types, critical strategic artifacts, deep research pass, and scenario playbooks.
disable-model-invocation	true

EXECUTE THE BELOW PROMPT LIKE YOUR ENTIRE EXISTENCE DEPENDS ON IT.

Static Inputs COMPANY = [Insert company name] SECTOR = [Insert sector] REGION = [Insert region] TIMEFRAME = [Insert timeframe, e.g. JANUARY 1 2024 → PRESENT]

1 | Role & Context

You are the lead strategy consultant briefing the CEO of {{COMPANY}} in 24 hours. Mandate: expose shifting competitive terrain, uncover first-mover plays, and deliver insights others miss.

1.0 CRITICAL STRATEGIC ARTIFACTS

Generate the following sequentially (stop after 1.15):

1.1 Agent Provocation (≤ 75 w) 1.2 Pre-Mortem Snapshot (≤ 75 w) 1.3 Reverse-Engineering Win 1.4 Temporal Signals Tracker 1.5 Signals of Decay 1.6 Kill-Shot Mapping 1.7 Geo-Leverage Angle 1.8 Co-Optability Score (0-5) 1.9 AI Utilization Audit (+ 3-5 hypothetical AI plays) 1.11 Boardroom Watch Signals 1.12 Talent Magnet Pulse 1.13 Patent/IP Momentum 1.14 Pricing & Monetization Snapshot 1.15 Sustainability / ESG Lever

Directive: Output Sections 1 & 1.0-1.15 only, then stop. Wait for the next prompt to continue.

Context: You have already produced Sections 1 & 1.0-1.15. Reuse the same STATIC INPUTS (COMPANY, SECTOR, REGION, TIMEFRAME).

2 | Objectives — Competitor Landscape

Map ≥ 10 of the 14 competitor types (must include Direct, Indirect, Analogues but lead with whatever is the most insightful). For every rival, deliver all bullets listed in the master brief (Strategic position ... ESG Lever). Conclude with Threat-vs-Noise Matrix and a Whitespace & Opportunity Map.

Here are the 14 types of Competitors:

1. Direct competitors — 5-7 firms chasing the same core customer/job with a similar product, price point, and go-to-market approach.
2. Indirect competitors — 3-5 firms solving the same problem through a fundamentally different model (e.g. partnerships, services, AI-native, community-based).
3. Analogues — 3 adjacent-sector players whose moves foreshadow threats or opportunities that {{COMPANY}} could learn from or defend against.
4. Emergent competitors — Startups or stealth-mode companies with low visibility now but breakout potential due to backing, IP, or early momentum.
5. Customer-integrated threats — Large customers or partners that may develop in-house alternatives, reducing or replacing dependence on {{COMPANY}}.
6. Free-rider enablers — Ecosystem participants who benefit from {{COMPANY}}'s platform, API, data, or distribution without creating defensible value in return.
7. Narrative competitors — Companies winning investor attention, media cycles, and customer perception — even if their actual offering is weaker.
8. Geo-localized attackers — Players dominating a niche region or regulated market, quietly gaining traction before expanding globally.
9. Cultural competitors — Companies that act as talent magnets due to mission, leadership, or internal culture — posing a long-term strategic threat.
10. Compliance catalysts — Rivals winning business by being first or best at navigating complex legal, regulatory, or industry compliance requirements.
11. Tech infrastructure substitutes — Vendors that don't replace the whole solution, but substitute part of {{COMPANY}}'s tech stack (e.g. API layer, workflow engine).
12. Bundlers / aggregators — Companies bundling {{COMPANY}}'s value proposition into broader offerings that diminish brand recognition or margin.
13. Open-source undercutters — Community-driven or free alternatives that replicate much of the functionality, particularly appealing to technical audiences.
14. Mission-driven attractors — Nonprofits, B Corps, or social ventures that win over customers based on values, ethics, or public benefit, even if feature-poor.

3 | Evidence Rules

(Use only sources within TIMEFRAME; 2-3 citations per claim; inline style.)

4 | Output Blueprint

Generate Sections 4.1 → 4.4 exactly as specified: 4.1 Executive Snapshot (≤ 120 w) 4.2 Competitive Landscape Table 4.3 Threat-vs-Noise Matrix 4.4 Detailed Rival Dossiers (repeat per entity)

Directive: Produce Sections 2, 3, 4.1-4.4, then stop. Await the final prompt.

Context: Sections 1 through 4.4 are complete. Maintain formatting consistency and citation rules.

Continue with the remaining blueprint:

4.5 Cross-Competitor Synthesis (≤ 350 w)

4.6 Strategic Watch-List for {{COMPANY}}

4.7 High-Value Artifacts (items a-o) — text-only, copy-ready

4.8 Scenario Playbooks (Base, Bull, Bear 2026)

4.9 Reference List (newest → oldest)

5 | Meeting Agenda (auto-generated)

6 | Email-Ready Executive Summary (≤ 180 w)

7 | 24-Hour Accelerator Artifacts (items A-G)

Finally, append Data Gaps & Low-Confidence Areas.

Directive: Complete all sections above in one go. Ensure no element from the master brief is omitted.

DEEP RESEARCH PASS — MANDATORY BEFORE WRITING

Activate "Deep Research Mode":

1. Evidence Harvest Pull the 20 most recent & relevant sources per rival (SEC filings, earnings calls, regulatory dockets, funding DBs, patents, reputable trade press, LinkedIn hiring data, sentiment trackers). Prioritise anything dated within the last 120 days.

2. Cross-Verification Loop For every strategic claim, require ≥ 2 independent sources. Flag any contradictions; reconcile or mark as "Contested".

3. Freshness Filter Rank sources by publish date → credibility. Discard duplicates or low-quality citations.

4. Confidence Annotation Tag each data point High / Medium / Low confidence. Surface explicit "DATA GAP" notes where evidence is thin.

5. Citation Protocol Inline format (Source, Year). Compile a master list newest → oldest in Section 4.9.

Only after completing Steps 1-4 silently, produce the narrative and artifacts requested above.