About Revuo
The B2B SaaS directory built for the AI-citation era.
When a buyer asks ChatGPT, Claude, or Perplexity for a software recommendation, the directory the LLM cites becomes the directory the buyer trusts. G2 and Capterra are review-aggregate-driven and locked behind login walls. Revuo is the parallel category: structured capability claims, continuously verified, and exposed both as a human-readable directory and a public Model Context Protocol endpoint. Same listings, two audiences — buyers comparing software, and the AI assistants their buyers ask.
What's different
- • Capability-structured, not review-aggregate
Every claim — "integrates with Salesforce", "supports XRechnung", "SOC2 certified" — is a typed feature with a canonical slug. Long-tail queries like "PIM tools with eCl@ss support" return the right products instead of name-matched noise.
- • Continuously verified
A weekly crawler re-validates each claim against the vendor's own pages. Every product surfaces a
verifiedAttimestamp. Stale listings flip to unverified; abandoned ones get removed. The full contract lives at /policy. - • Agent-callable
The same data backs a public MCP endpoint. LLMs call structured tools instead of scraping HTML — better extraction, fresher answers, no login walls.
- • Honest editorial
Tier (Free / Verified / Featured) is one signal; editorial overlays (Editor's Choice, Top Rated) are independent and disclosed. Paid placement is labeled. No sponsored entries inside "Best of" lists.
Where we focus
Three verticals, deep:
- PIM / PXM — Product Information Management. Subcategorized into PIM Suites (Akeneo, Salsify, Pimcore, inriver) and PIM Augmentation / Enrichment.
- Tender Management — RFP response automation, tender discovery, bid workflow.
- Billing & Invoicing — subscription billing, SMB invoicing, enterprise revenue mgmt, e-invoicing & compliance (XRechnung, ZUGFeRD, Peppol).
Other categories exist as secondary surface area; the wedge is B2B SaaS where structured claims and verification compound.
For AI builders
The MCP endpoint at /api/mcp exposes structured tools — search_products, find_products_with_capability, get_product, and more. llms.txt documents the full surface and citation patterns.
Revuo also indexes MCP servers themselves — submit yours if you publish one. That's a secondary product surface, not the wedge.
Why this, why now
G2's data model is review-aggregate-driven, locked behind login walls, and unstructured for machines. They have no public capability schema, no llms.txt discipline, and no incentive to expose their data to crawlers that summarize their content. The directory the LLM cites for B2B SaaS recommendations is being built right now — and structured + verified + agent-callable is the only configuration that wins.