NetRanks - 2026 Pricing, Features, Reviews & Alternatives

AI has become the way people choose. When your customer asks ChatGPT, Gemini, Claude or Perplexity for the best option in your category, they don't get ten links to compare. They get one answer, with a handful of names in it. Your brand is either named or it isn't.

That answer isn't pulled off a ranking. It's assembled on the spot. Whether you make it in comes down to three things: whether the engine can find you, whether it judges you relevant to the question, and whether it trusts you enough to say your name.

NetRanks is built for the marketing, growth, and content teams who own that outcome, at B2B SaaS, e-commerce, healthcare, and enterprise brands, and the agencies working on their behalf. If organic traffic is softening and no one can quite say why, this is usually where it went.

We break down how each AI answer is formed, one engine and one competitor at a time. You see how often ChatGPT, Gemini, Claude, Perplexity, and newer engines name you, where you sit among the brands they do name, and which pages and signals are pulling you in or leaving you out.

Then we tell you what to change: page-by-page edits mapped to the questions your buyers actually ask, with a predicted rank. You ship the changes, we re-measure, and you watch the movement against your competitors over time. Recommendations come tuned to your industry and language, and the models update daily as the engines shift underneath everyone.

Our engineers built the retrieval, ranking, and advertising systems behind eBay and Booking.com. That is why we treat AI visibility as a mathematical problem, not a marketing one.