Botfusions vs Otterly.AI: From Passive Tracking to Active AI Dominance

Otterly has the lowest entry price in this category. Lite is $29 per month for 15 search prompts and 1,000 GEO URL audits. Standard is $189 for 100 prompts, 5,000 audits, plus API and MCP access with 2,000 requests each and Agent Analytics up to 200,000 events. Premium is $489 for 400 prompts, 10,000 audits and higher API limits. Enterprise is custom, starting from $1,000 per month. Annual billing takes 15 percent off Standard and Premium.

The number that matters most is the prompt count, because prompts are what actually get asked of the engines. Fifteen prompts on Lite is enough to sanity-check a brand, not to cover a category. If your buyers ask about your product in a dozen different ways across three buying stages, fifteen prompts will sample a fraction of that.

The detail most easily missed: every tier tracks the same four engines — ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot. Claude, Gemini and Google AI Mode are paid add-ons, priced separately, with Claude the most expensive of the three. So a plan that looks like the cheapest option in the category can end up mid-priced once you add the engines your buyers actually use.

Otterly's GEO URL audit allowance is generous — a thousand URLs on the cheapest plan, ten thousand on Premium. Compared with platforms that cap page audits in the single digits, that is a real advantage if you run a large site and want broad coverage rather than a sample.

What a URL audit gives you is a checklist per page: is the content structured in a way engines can parse, is schema present, are the answers extractable. What it does not give you is the changed page. Someone still has to rewrite the section, add the markup, restructure the internal links and publish. On a thousand-URL site, a thousand audit results is a thousand-item backlog unless there is a team to work through it.

This is the same boundary every self-serve platform in the category has, and it is worth stating plainly rather than implying the tools are lacking. They do what they are built to do. The question is what happens next, and that is a resourcing decision, not a software decision.