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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.

Paste in your AI

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.

Personalize this prompt with Léa

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

Why this prompt works

<p>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.</p><p>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.</p><p>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.</p>

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.

Improve this prompt

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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