Sanar AI reached 4.3x ROAS in 8 weeks
Lead generation for AI visibility startup
“Sanar has moved faster in the last 3 months than the previous year combined. Ryze built the entire growth engine that powers our expansion.”
About Sanar AI
Sanar AI is an AI search analytics platform for marketing teams and agencies. It shows how your brand appears in AI-generated answers, what sources shape those answers, and what to change to improve visibility, ranking, and sentiment over time.
Executive Summary
Sanar AI used Ryze to make Google Search a higher-intent acquisition channel by cutting wasted spend and shifting budget toward queries that convert. The work focused on three areas: query intent, conversion signal quality, and budget allocation. Within w days, Ryze surfaced a prioritized set of fixes and implemented them. Over 8 weeks, Sanar AI reached 4.3x ROAS and reduced cost per qualified lead by 58% (about 2.4x lower).
The Challenge
Sanar AI sits at the intersection of SEO, GEO, and analytics—an emerging space where buyers don’t yet share a single vocabulary.
Message-market drift
Confusion across audiences (CMO vs SEO lead vs agency owner).
High intent, unclear next step
High education traffic that doesn’t convert to action.
Attribution ambiguity
Unclear impact across organic, community, paid, and partnerships.
Creative fatigue
Winning angles saturate quickly once competitors copy.
The Solution
Cleaned up conversion signals
Sanar used Ryze to review conversion actions and align bidding to qualified leads, not noisy events.
Removed wasted search terms
Sanar used Ryze’s search term analysis to add negatives, tighten match behavior, and focus spend on buyer-intent queries.
Reallocated budget to what worked
Sanar used Ryze’s budget and performance breakdowns to shift spend from low-return themes into the campaigns driving ROAS.
Block irrelevant searches driving clicks without demos.
Train bidding on qualified leads, not low-intent events.
Increase budget on the query themes that convert.
Improved ad + landing page alignment
Sanar used Ryze to spot query→ad→landing mismatches and update copy/URLs so clicks turned into demos.
Results
Reduced cost per qualified demo by tightening targeting.
Increased activation rate by aligning onboarding to metric logic.
Improved trial-to-paid conversion with proof-led nurture.
Saved per week by automating reporting.
Why This Worked
Cleaner search intent
Blocked research/low-intent queries and isolated buyer terms, so clicks were more likely to turn into demos.
Better conversion signals
Made “qualified lead” the main conversion, removed noisy signals, and let bidding optimize toward real pipeline.
Spend followed results
Shifted budget to the themes and campaigns already converting, and reduced spend where ROAS wasn’t holding.
