Build the foundation your GEO runs on
FlowLaunch sets up your full AI marketing infrastructure in a single, focused engagement.
What's included:
Claude terminal setup and configuration
Context library creation: brand ID, ICP, compliance, competitors, and more
GEO campaign setup: strategy, topic clusters, tracked prompts, and more
Team training on understanding and acting on AI visibility insights
Guided onboarding and bi-weekly alignment sessions
Handover documentation for independent operation

Outcome
Your team is equipped with a fully configured AI marketing stack, GEO campaigns, and the skills to use both.
Best for
Teams starting their GEO journey who want to build it right from the start.
Engagement
One-time, typically 4–6 weeks.
Powered by live Wordflow data across 7 AI engines
FlowGEO turns AI visibility intelligence into a monthly cadence of insight and action.
Phase 1: Brand Visibility Assessment (Weeks 1–4)
We configure your Category Visibility Campaign and establish your baseline: brand visibility score, competitor positions, prompt gaps, content gaps, and citation gaps.
Phase 2: Strategic Campaign Expansion (Weeks 4–8)
We expand your campaign setup beyond the baseline, adding campaigns for new audiences, use cases, or new markets for a complete view of how AI sees your brand.
Phase 3: Monthly Intelligence & Action (Weeks 8–12)
A monthly action plan built from your live campaign data: visibility gains, brand narratives, competitor movements, and prioritised actions for your team to execute.

Outcome
A living, data-backed GEO strategy that compounds over time
Best for
Teams who want a structured approach to AI visibility without building an in-house function from scratch.
Engagement
Ongoing monthly programme.
3-month minimum.
AI-ready content, produced by specialists who understand why it works.
Our content team doesn't just write – they research AI citation patterns, study how models reference brands, and produce content engineered to earn AI visibility.
Phase 1: Brand Visibility Assessment (Month 1)
Full AI visibility campaign setup and baseline assessment: brand visibility score, competitor positions, prompt gaps, content gaps, and citation gaps.
Phase 2: Content Strategy & First Publication (Month 2)
AI content strategy, prompt targeting map, and editorial calendar. First batch of AI-optimised content published, each piece mapped to a prompt gap.
Phase 3: Optimisation & Content Scaling (Months 3–4)
Performance review, content batches two and three published and optimised from live data. Prompt coverage expanded; citation source targeting underway.
Phase 4: Performance Review & Handover (Months 5–6)
Final AI Visibility Performance Report and Strategic Playbook delivered, with documented improvement in visibility score and citation rate.

Outcome
A consistent pipeline of content your brand gets cited for.
Best for
Teams that need content creation and strategy grounded in real AI demand signals.
Engagement
Minimum 6-month programme with monthly milestone reviews.




















