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Company · Audience · Goals
-EXAMPLE PLAN-
1. Positioning & assumptions
FlowBooks — Dutch accounting SaaS for SMBs (10–250 employees).
- Fact: cloud bookkeeping, bank sync and VAT returns in one tool
- Assumption: buyers compare 3–5 tools before booking a demo
- Assumption: competitors (Exact, Moneybird) currently dominate AI answers
2. Audience & buyer intent
Primary: CFOs and finance managers. Secondary: owners of growing SMBs.
- Pain: manual bookkeeping and slow month-end closing
- Trigger: switching accountant, growth past 20 employees, audit stress
- Decision criteria: integrations, price per user, Dutch support
3. Sample buyer prompts
- "Best accounting software for Dutch small businesses"
- "FlowBooks vs Exact Online — which is cheaper?"
- "Which bookkeeping tool integrates with ING and Rabobank?"
- "Accounting software that handles VAT returns automatically"
- "Easiest bookkeeping tool to switch to mid-year"
4. GEO actions (priority order)
- Content: 6 comparison pages and a clear pricing & integrations FAQ
- Structured data: Organization, Product, FAQPage and Review markup
- Authority: customer cases with hard numbers (hours saved, closing time)
- Citations: listings and reviews on Dutch finance and SaaS review sites
- Technical: make key pages crawlable for AI bots and keep facts consistent
5. AI advertising opportunities
- Perplexity sponsored follow-up questions (conditional on eligibility)
- Microsoft Copilot ads via Microsoft Advertising for comparison queries
- ChatGPT and Gemini: monitor ad availability in the Netherlands
6. 30/60/90-day roadmap
- Day 0–30: baseline on 20 prompts across ChatGPT, Gemini, Perplexity, Claude and Copilot; fix structured data
- Day 31–60: publish comparison pages and FAQ; start citation outreach
- Day 61–90: launch first AI ad test; re-measure and adjust priorities
7. KPIs & next steps
- AI mention rate: from baseline to 40% of buyer prompts
- Citations: +10 relevant sources per quarter
- AI-referred leads per month, tracked in CRM
- Next step: book a GEO Scan to replace assumptions with measured data