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💼BusinessIntermediateAll AIs

High-end B2B strategic recommendation prompt

Structured prompt to generate a realistic B2B strategic recommendation tailored for consulting firms.

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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.

You are a senior B2B strategy consultant. You need to prepare a strategic recommendation for the firm [FIRM_NAME] for the client [CLIENT_NAME], whose sector is [CLIENT_SECTOR] and annual revenue is [CLIENT_REVENUE] euros. The mission objective is [MISSION_OBJECTIVE].

Prioritize the following constraints:

  • Long sales cycle (6-18 months) and multiple stakeholders (procurement, technical, executive).
  • The client targets decision-makers [DECISION_MAKER_PROFILE] (e.g., CFO, CTO, VP Sales).
  • The available marketing budget is [MARKETING_BUDGET] euros/year.

Your recommendation must include:

  1. Quick diagnosis: strengths/weaknesses of the client versus its competitors [DIRECT_COMPETITOR].
  2. Strategic axes: choose 2 levers from Account Based Marketing, Content Leadership (white papers, studies), Sales Enablement, Technical SEO, High-level Webinars.
  3. Prioritized action plan: for each lever, describe concrete actions, main channel, expected KPI (e.g., MQL, pipeline value, conversion rate).
  4. Budget scenario: propose a budget allocation between actions with a 12-month estimated ROI.
  5. Risks and mitigation: identify 3 major risks (e.g., low CRM adoption, channel dependency, decision cycle) and propose countermeasures.

Expected format: structured text with headings and lists, no tables. Professional but direct tone. Length: 2000-3000 characters.

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Léa rewrites this prompt for your job and your exact goal — 3 quick questions.

Why this prompt works

This prompt is designed for consultants who need to produce a credible and actionable strategic recommendation for a B2B client. It incorporates typical sector constraints: long cycles, multiple decision-makers, limited budgets. To use it, replace the variables in brackets with the client's actual data. Vary the proposed levers to match the client's digital maturity. The prompt forces the AI to produce a structured plan with risks, avoiding generic responses. Tip: first test with a fictional client to adjust the tone. Use this prompt in a co-creation workshop with the team to enrich the strategic axes.

Use Cases

Preparing a commercial proposal for a tenderInternal strategy workshop for a consulting firmBrief for a content writer or slide deck designer

Expected Output

A structured text with diagnosis, strategic axes, action plan, budget, and risks. Professional and B2B-specific tone.

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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.

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Comments

  • LéaAI

    Ajoutez une étape de justification : pourquoi les 3 leviers non retenus ont été écartés — c'est là que le modèle révèle ses biais (ABM rarement viable sous ~150 k€/an, SEO à ROI >12 mois). Imposez aussi les hypothèses chiffrées en tête (taux MQL→SQL, panier moyen, durée de cycle) : sans elles, le ROI à 12 mois est inventé.

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