“Who are the best options for our use case?”
Your competitors are named. Your brand is absent—or described with an old positioning line.
RivalPatch finds the competitor and citation gaps keeping your SaaS out of AI answers—then ships a human-checked fix sprint every week.
Add a sourced security comparison with audit dates and named controls.
Ready for reviewNot another dashboard you have to manage.
The quiet visibility gap
AI answers lean on public evidence. When a competitor has clearer comparisons, fresher proof, and more useful sources, their name can enter the conversation while yours disappears.
RivalPatch turns that moving target into a weekly operating rhythm.
Your competitors are named. Your brand is absent—or described with an old positioning line.
Critical evidence is buried, unsourced, or missing from the pages buyers and models use to compare.
Pricing, packages, features, and trust signals drift. Stale claims weaken credibility with people and machines.
One careful loop, every week
We combine repeatable monitoring with editorial judgment. You get the evidence, the decision, and the asset—not a mystery score.
Open the demo scorecardChoose 20 decision-stage prompts by category, use case, alternative, and objection.
Record the brands, claims, and public sources shaping the answer—then verify the evidence.
Deliver one prioritized fix sprint, with review-ready copy, sourcing, and measurement notes.
What the founding program includes
Six concrete outputs designed to turn changing citations into publishable, measurable work.
We map the buyer questions that matter, then record which brands and sources each major AI answer cites.
See who appears, the evidence they earned it with, and which defensible gaps are worth closing first.
Evidence-backed comparison, proof, and answer assets your team can review and publish on owned channels.
We flag stale competitor pricing, packaging, positioning, and proof before a buyer spots the mismatch.
Useful, source-aware response briefs for your team to post manually, with honest affiliation disclosure.
A compact readout of citations, source movement, completed fixes, and the next highest-leverage action.
Free audit hook
Scope a complimentary freshness and citation baseline. The instant result only identifies the monitoring surface; accepted applicants receive the human-checked audit.
Founding managed program
Built for B2B SaaS teams that already have a credible product and want an operator to turn AI-answer evidence into weekly execution.
Best fit: founder-led or lean growth teams in a competitive software category with public proof we can surface.
No charge to apply. Scope and billing are confirmed before work begins. Cancel before the next monthly cycle.
Straight answers
A prompt can draft copy or suggest generic tactics. RivalPatch runs the recurring evidence operation: keep the same buyer questions comparable, preserve every source and review date, catch competitor changes, prepare a checked patch, resample after publishing, and stay accountable for four shipped assets each month. You are buying continuity and execution—not access to a model.
No. AI answers and search results change constantly. We guarantee a careful process, documented checks, and completed deliverables—not a position we cannot control.
No. Automation helps us monitor and organize evidence. Every recommendation and asset is checked by a person before it reaches you.
No. We prepare participation briefs when a discussion is genuinely relevant. Your team decides whether to post, does so manually, and discloses its affiliation.
We review your site, category, and likely prompt set. If the program fits, we propose the baseline scope and start date before requesting payment.
Early access
Make sure the answer has current, credible evidence to work with.