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Industry · B2B SaaS

Be the software AI engines recommend when buyers compare tools.

“Best tool for…”, “alternative to…”, “X vs Y”. ZivRank measures where your product is named on those questions, and where a competitor takes your place.

Software buyers now ask AI engines to narrow the field before they visit a single vendor site. If your product is not in that first answer, it is not on the shortlist.

What we bring to B2B SaaS

Built for how your buyers research

Comparison questions first

“Best X”, “alternative to Y” and “X vs Y” are where buyers decide. We measure them by intent family so you know exactly where you drop out.

Integration and fit questions

“Works with Salesforce”, “for a 50-person team”, “SOC 2 compliant”: fit questions decide the shortlist. We track them separately from category questions.

Sources that matter for software

Review platforms, comparison articles, documentation and community threads. We measure which ones the engines reuse in your category before producing anything.

Buying questions

What your buyers ask AI engines

Examples of the questions we measure for B2B SaaS vendors. Your own list is built and validated with you before the first measurement.

“Best ITSM tool for a 200-person company”
“Alternatives to a legacy help desk for a fast-growing team”
“Which CRM integrates best with HubSpot marketing”
“Project management software with SOC 2 and SSO”
“Data observability tools compared”
“Best customer success platform for B2B SaaS”
“Usage-based billing software for startups”
“Which API monitoring tool is easiest to set up”
Sources

Where the answers come from

For software questions, AI engines mix vendor pages, comparison articles, review platforms and community threads, and the mix varies by engine. Published studies disagree on that mix, which is why we measure your category directly.

Proof, not promises

Measured before and after

A US B2B SaaS vendor in ITSM, measured before and after with the same protocol: more answers naming the brand, and its own site moving up among the sources the engines cite. Read the case study →

The method, applied to B2B SaaS

From baseline to re-measurement

01

Measure

The buying questions of your market (50 from the Core plan upward), asked 5 times on each of 5 AI engines. You see where you are named, where you are only a source, and where you are absent.

02

Diagnose

Who is named instead of you, on which questions, and which sources the engines reuse. Plus a technical audit of what stops AI engines from reading your site.

03

Produce

Assets the engines can cite, placed on the sources they already trust in B2B SaaS. Reviewed by an expert before anything goes live.

04

Re-measure

The same protocol, replayed identically. A change only counts if it rises above the noise floor set before comparison.

FAQ · B2B SaaS

Frequently asked questions

Why does GEO matter for a SaaS company?
Because buyers use AI engines to build their first shortlist. If your product is absent from the answer to “best tool for…” or “alternative to…”, you are absent from the decision before it starts.
Do comparison and alternative pages still work?
Yes, when they are honest and specific. Comparison formats are among the pages AI engines reuse most for software questions. We build them on the criteria where you genuinely win.
Do G2 and Capterra reviews help?
Review platforms are cited more at the evaluation stage than at discovery. More reviews alone explain little of a category's AI visibility. A complete, current profile matters more than review volume.
How do you prove the impact?
A locked baseline measurement, then re-measurements with exactly the same questions, engines and number of runs. You receive the raw answers, so every number in the report can be checked.
Our product is niche. Is that a problem?
Often the opposite. Specific questions have fewer credible answers, and a precise vendor is easier to name than a generalist. We start where the questions are specific and the competition is thin.