Use Case · B2B SaaS
Get cited when AI evaluates your category
Technical buyers now open ChatGPT, Claude, or Perplexity before they open a search engine. They ask "what's the best observability platform for a 50-engineer team?" or "which payment processor handles VAT MOSS?" — and the AI returns a short list of vendors. RankRush is the platform that gets your product onto those short lists.
Who this is for
You're a SaaS founder, head of growth, or developer-relations lead at a software company. You ship to other businesses — developers, ops teams, finance teams, or RevOps. Your funnel works once a buyer finds you, but AI assistants keep recommending the incumbents. You don't need another paid-ads experiment; you need the structured signals AI engines use when they decide which vendors to quote.
The AI visibility problem
Language models lean on a stable citation set for category and comparison queries. Vendors with messy pricing pages, thin documentation, or no comparison content rarely make it in. Common gaps RankRush surfaces on day-one audits:
- Pricing page structure AI can parse — tier names, limits, included features
- API and developer docs surfaced with FAQ and HowTo schema
- Head-to-head comparison pages versus the incumbents in your category
- Case-study markup that makes outcomes quotable and attributable
- Internal linking from landing → docs → pricing → comparison
Each gap pushes a citation toward the incumbent. AI engines preferentially quote vendors whose pricing, docs, and positioning are easy to extract and attribute — clarity wins over cleverness.
How RankRush helps
The RankRush audit scans your landing pages, pricing structure, docs site, and comparison surfaces against 80+ AI-readability checkpoints calibrated for B2B software. You get a prioritized fix list — what to ship this sprint to land citations, what to defer, where you're already strong. The visibility scanner then tracks your brand and your category across ChatGPT, Claude, Perplexity, and Gemini, so you can see whether the fixes are moving you into the recommended set.
When on-site is dialed in, the Buzz module seeds authentic conversations on Reddit, Hacker News, Quora, and niche developer communities where language models continually pull retrieval and training signal. The compounding effect: make your product easy for AI to describe, then build the off-site authority that keeps you cited as the category evolves.
What to do next
Run a free visibility scan on your marketing site. The audit takes a few minutes and returns a scored report — you'll see exactly which pricing, docs, and comparison pages are costing you AI citations. Starter plans cover a single product site; Growth and Agency scale to multi-product companies and agencies managing several SaaS portfolios.
Get Your Free Visibility Score