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See how Gemini surfaces your products in AI answers, which listings get recommended, and what to fix in your catalogue and content to win more placements.
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.
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, enrich catalogs, and ship the changes that move them.
In B2B SaaS, buyers are talking to AI before they ever hit our website or talk to sales. That's a new layer of discovery, and for most of us, it's a blind spot. Ranketta gives us a view into it: which competitors get recommended, how CloudTalk gets described, and where our content is falling short. What I value most is the link to action. Ranketta doesn't stop at "are we mentioned?". It tells us what to fix next. That's the difference between an interesting dashboard and a useful one.
Clear, actionable perspectives on AI-driven analytics, product metrics, and decision-making to help teams stay informed and ahead.
AI shopping assistants recommend from structured feeds and signals, not marketing copy. Three product-data fixes plus off-site authority, for catalogs of any size.
Most AI visibility tools call developer APIs. Ranketta uses browser sessions on the same surface customers use. Here's why, what that unlocks, and what we give up.
Compare the top AI visibility platforms for e-commerce in 2026. Ranked by product-level tracking, feed enrichment, MCP support and AI engine coverage.
How Ranketta differs from SEO tools, who it is for, and what you can expect from AI visibility tracking.
See what AI recommends, find the content gaps, and fix them at catalog scale.
