Generative Engine Optimization for B2B SaaS

B2B SaaS is the epicenter of the GEO shift — long consideration cycles, heavy comparison research, and buyers who live inside AI tools. We run your category’s buyer-intent prompts across five engines, score your AI Share of Voice against competitors, map the sources AI engines cite, and build the content and distribution to win the answer.

Representative examples include “best [category] software for mid-market companies”, “[competitor] alternatives”, “[your tool] vs [competitor] — which is better”. We build a full corpus of 200–500 prompts tailored to your specific category.

In B2B SaaS, citations frequently come from G2, Reddit, Capterra, specific category Substacks, YouTube reviews. Your audit maps the exact URLs winning in your category — usually ~20 sources drive most citations.

Comparison and alternatives pages, extractable feature/pricing tables, and earned presence in G2 and the right subreddits drive most of the lift. Concretely: Publish current, extractable comparison and alternatives pages. Keep your G2/Capterra profiles accurate and detailed. Add feature and pricing tables with schema for clean extraction. Start with a free snapshot, then a full audit to prioritize the highest-impact moves.

For B2B SaaS, we focus on share of voice for “best [category] tools” prompts, win rate in “x vs y” head-to-head answers, mention rate for alternatives queries. These are the leading indicators that move before traffic does and predict your share-of-voice gains.