Track product visibility, fix content gaps, merchandise your catalog, and connect the feed to the AI engines that recommend it. Built for e-commerce and direct-to-consumer brands running their own catalog.
Trusted by 1200+ e-commerce and D2C brands
50% of buyers now use AI in their purchase journey. For brands selling online, AI answers are the new storefront. And Ranketta is your way onto the shelf.
Source: McKinsey
Most platforms count brand mentions. Ranketta tracks every product, fixes the product data holding it back, and points you at the prompts with real demand.
See exactly which products win AI recommendations in your category, and which get skipped.
An AI agent rewrites titles, descriptions, and attributes, with a confidence score on every fix, then connects the feed to the AI engines your shoppers use.
Pick prompts with real demand signals for every prompt you track, so you focus on what converts.
Knowing you have a gap doesn't close it. Ranketta drafts the content AI cites, tracks the citations it earns, and can run the whole loop for you.
See which domains AI cites in your category, then go after the ones that matter.
Generate listicles, comparisons, and guides AI models cite, built from the prompts you track.
Let an AI agent run the workflow end to end, from research to fixes, on your behalf.
Visibility data is only useful next to the metrics your team already tracks. These three connections put it there.
Bring Ranketta data into Claude, Cursor, or any MCP client and query prompts, citations, and audits directly.
Pipe AI visibility metrics into your dashboards, alongside revenue, traffic, and campaign data.
Track AI bot visits at the edge and see which models crawl your site, how often, and where.
Merchandise your catalog for AI, connect the feed to your storefronts and the AI shopping engines that recommend you, and track visibility across every platform from one place.
See how Ranketta works across AI search, ecommerce platforms, marketplaces and analytics.
Ranketta is built for teams that own a product catalog and need AI to recommend the individual products in it, not just mention the brand.
You run your own catalog and your own GTINs, and you already feed Google Merchant Center or a marketplace. Ranketta shows which of your SKUs AI recommends, which get skipped, and fixes the product data behind it.
You sell your own products directly and the brand is the product. Ranketta tracks how AI describes the brand and every product under it, and keeps both consistent across engines.
You report AI visibility for several clients at once. Ranketta gives you multi-client tracking, share of voice and Looker Studio reporting you can put straight into a retainer.
Brands that use Ranketta don't watch rankings drift. They fix content, merchandise catalogs, and ship the changes that move them.
AI search is becoming a critical channel in e-commerce. With Ranketta, we finally gained real data on how often AI recommends our brand and where we have gaps. The platform helped us identify specific topics and content that improve our visibility in AI answers. Within the first months, we saw clear improvements in both position and share of voice.
Clear, actionable perspectives on AI-driven analytics, product metrics, and decision-making to help teams stay informed and ahead.
Most LLM optimization tools only measure. We sorted 8 by what they change: your content, the page AI bots read, or the product data every channel pulls.
AEO tools track whether AI answers recommend you. Eleven compared on the thing that decides whether the numbers are real: how each one collects its data.
Agentic commerce is shopping where an AI agent researches, shortlists and buys for the shopper. What's live now — and why being recommended isn't enough.
What Ranketta is, who it is for, how pricing works, and how it differs from SEO tools.
See what AI recommends, find the content gaps, and fix them at catalog scale.
