GEO · B2B SaaS
GEO for B2B SaaS.
Control how AI models describe your brand, not just whether they cite a page.
The short answer
GEO for B2B SaaS is the off-site work of making sure that when a buyer asks an AI model who solves their problem, your company is named and described accurately. That means a consistent entity across your site, review platforms, directories, and roundups, plus active correction when models get your ICP, pricing model, or integrations wrong.
- Models describe your product and category position correctly
- You appear in generated shortlists even when no page is cited
- Outdated pricing, features, or positioning claims get corrected at the source
Deliverables
What you get with GEO for B2B SaaS.
- Brand representation audit: what each model says about you today, verbatim
- Entity consistency pass across name, category, product names, and positioning
- Third-party corpus gap analysis: review sites, directories, roundups, communities
- Off-site placement program: comparison pages, listicle inclusion, review coverage
- Competitor displacement mapping on shortlist prompts
- Misstatement correction workflow for outdated or wrong model claims
- Share of voice reporting: how often you appear in category generations, cited or not
- Category share-of-voice baseline across ChatGPT, Perplexity, Gemini, and AI Overviews
- Review-platform and directory profile alignment with your positioning
- Comparison and best-of roundup placement program with monthly accuracy checks
Process
How the engagement runs.
01
Listen
Capture verbatim model output about your brand and category across engines.
02
Correct
Fix entity inconsistencies and chase down the sources feeding wrong claims.
03
Seed
Build presence on the third-party surfaces models actually weight.
04
Measure
Monthly share of voice and sentiment across a stable prompt set.
FAQ
GEO for B2B SaaS: questions.
How is this different from the AEO work?
AEO earns the citation on a specific question using your own pages. GEO decides whether a model mentions you at all and whether the sentence it generates about you is correct. We run both from the same prompt set.
Can you fix a model that describes our pricing incorrectly?
Usually yes, but not instantly. The fix is correcting the sources the model draws on, publishing an unambiguous canonical pricing page, and tightening your entity data. Re-checks run monthly until the description is right.
How do you measure GEO?
Share of voice on category prompts, mention rate against named competitors, and a description-accuracy score we review with you each month.
Explore
Related pages.
Let's map GEO (Generative Engine Optimization) to your B2B SaaS pipeline.
Book a 30-minute scoping call and we'll show you exactly what the first 90 days would look like.