“We were ranking, but we were missing from the AI-generated shortlists. After the changes, we started showing up in comparisons and the summaries finally reflected how we actually position the product.”
Head of Growth
The client is a B2B SaaS company in the analytics space, serving mid-market and enterprise teams evaluating complex data infrastructure solutions.
Despite ranking well for competitive keywords, the brand was consistently excluded from AI-generated comparisons, recommendations, and summaries used during buyer research. Generative engines favored competitors with clearer positioning and stronger structured expertise signals.
Analysis revealed three primary challenges:
- Long-form marketing copy that buried key answers
- Product pages that described features but not use-case outcomes
- No clear alignment between search queries and decision-stage evaluation questions
The Atlantic Zero Solution: AEO and GEO Positioning for Generative Buyer Journeys
We rebuilt the client’s content system around the exact questions AI tools surface during evaluation, and tightened narrative precision so generative engines could confidently summarize and recommend the platform.
Phase 1: AEO for Buyer-Stage Questions
We rebuilt content around decision-stage prompts used in evaluation and comparison.
- Decision-stage question mapping to identify high-frequency prompts (for example: “How do companies analyze real-time data at scale?” and “What tools replace legacy BI dashboards?”)
- Direct answer formatting so pages delivered clear, quotable answers within the first screen
- Comparison readiness via neutral, factual comparison sections to increase trust and citation likelihood
Phase 2: GEO Positioning and Narrative Control
To influence how generative systems describe the company, we focused on consistency and specificity.
- Primary use case definition so each core product page anchored to a single, explicit job to be done
- Consistent terminology by replacing marketing synonyms with stable language aligned to how models cluster concepts
- Cross-page reinforcement across blog, documentation, and landing pages to repeat the same positioning signals
Phase 3: Structured Proof and Credibility Signals
We added proof and context to reduce ambiguity and improve confidence in summaries.
- Evidence blocks highlighting customer outcomes, scale metrics, and deployment contexts
- Authoritative context clarifying the platform’s role within the broader analytics ecosystem
Phase 4: Rollout and Iteration
We deployed updates across priority pages and monitored inclusion and phrasing in AI-generated summaries, refining wording to reinforce accurate positioning and increase repeat inclusion.
The Results
Within three months:
- Generative inclusion improved, with the brand appearing in AI-generated recommendations and comparison summaries for key buyer queries
- Demo requests attributed to AI-driven discovery increased by 27%
- AI summaries began reflecting the intended positioning instead of generic category descriptions
Key expertise demonstrated:
- AEO strategy for B2B decision-stage queries
- GEO narrative shaping and positioning control
- Optimization for generative recommendations, not just traffic
ready to build smarter systems?
Partner with Atlantic Zero to turn strategy into measurable performance. Whether you’re modernizing systems, optimizing marketing efficiency, or unlocking new AI capabilities, our team helps you move from analysis to execution with clarity and precision.
Talk to a consultant
