Use cases

Built for teams that live or die by search

However you show up in search, the loop is the same: audit, fix, deploy, track.

D2C & e-commerce brands

Hundreds of product and category pages, thin metadata, missing schema, and no idea whether AI assistants recommend you.

  • Product & category schema generated at scale
  • Alt text for every product image
  • AI-visibility check vs. your competitors

Marketing agencies

You resell SEO but delivery is manual, and clients want proof, plus everything should look like your brand, not a tool's.

  • White-label dashboards in your brand & color
  • A client funnel from prospect to active
  • One engine across every client site

SaaS & B2B

Buyers ask ChatGPT for tools in your category, and it names competitors. Your docs and landing pages aren't AI-legible.

  • GEO/schema so LLMs can cite you
  • AI-visibility scoring for your category
  • Technical fixes without a dev sprint

Local & multi-location

Dozens of location pages with duplicate content, weak local schema, and inconsistent NAP, invisible to both Google and AI.

  • Per-page canonical & schema fixes
  • Consistent entity signals across locations
  • Fast re-audits after every change

In-house SEO teams

You know what to fix, you just can't get engineering time to ship 2,000 title and alt-text changes.

  • Bulk fixes you approve, not hand-write
  • Deploy via one snippet, no dev queue
  • Search Console tracking built in

PR & communications

Your brand story is strong, but AI assistants summarize you wrong, or not at all, when buyers ask about you.

  • See exactly what AI says about your brand
  • Fix the pages that shape that answer
  • Track visibility as it improves

Find your gaps first

Free audit, 2 minutes, then see exactly which of these fits you.

Run your free audit