Understand how Amazon Alexa's AI shopping assistant recommends products in your category, which ASINs win AI-driven discovery, and how to improve product data to get chosen.

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.

Publishing content is only half the job. Ranketta tracks the citations it earns, flags the site issues blocking AI crawlers, and shows the AI traffic it drives, so you can prove the impact, not just the output.
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.

A continuous crawl that flags the issues blocking AI from reading your site well.

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.
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.