This system captures what's called fan-out searches. These are the sub-queries AI models create when researching a topic. Someone asks about project management software, and the AI internally searches for "best kanban tools 2024" and "project management integrations Slack" and "Asana alternatives for small teams." Aiso shows every one of these hidden searches. Then it checks who ranks on Google for each fan-out query, revealing which sources the AI likely prioritizes when forming its answer.
You can run dozens of prompts simultaneously and track how results change over time. The comparison feature lets you see where competitors get mentioned and where you don't. This matters because AI models don't just scrape your website. They pull from Reddit threads, review sites, comparison articles, and industry blogs. If those sources don't mention you, the AI won't either.
The conversation panel contains more than 5 million real interactions from the major AI platforms. Users voluntarily share their chats through a consent-based program in exchange for premium model access. No keystroke logging or screen watching. Every conversation gets anonymized and quality-checked before entering the database. You can filter by brand, competitor, or category to find actual prompts people use. The feed shows what drives clicks and conversions, not what you think people ask.
Three tracked topics come with the free plan, along with the real conversation feed, basic query analysis, and a weekly email digest. The llms.txt file generator helps structure your site information for AI consumption. Starter costs $20 monthly and bumps tracked topics to 15. This tier includes fan-out analysis, source attribution, competitor comparison, conversation volume trends, and website crawlability checks. Enterprise pricing requires contact but adds unlimited tracked topics, a dedicated data analyst, schema markup optimization, third-party source audits, custom reports, multi-brand and multi-market support, API access, and hands-on execution.
The free tier can't access fan-out analysis. That's the core diagnostic feature. Starter caps at 15 topics, which might constrain agencies managing multiple clients or brands tracking numerous product lines. API access and custom reports sit behind the enterprise tier exclusively. So does the dedicated analyst who runs weekly performance syncs.
More than 500 brands use this service. Users report a 5x average increase in AI search impressions. The rating sits at 4.9 out of 5 from strategists, SEOs, and demand teams.
Marketers optimizing for AI visibility find immediate value. SEO teams can audit how AI models interpret their content ecosystem. Demand teams discover which prompts convert. Founders see what customers actually ask before they visit a website. Agencies need the multi-brand support to manage client portfolios efficiently.
Aiso positions against Profound, Bluefish, PromptWatch, and Peec.ai. The consent-based conversation panel differentiates it from competitors who might rely on smaller datasets or less transparent collection methods. The fan-out feature addresses a gap most brands don't know exists until they see the sub-queries their target prompts generate.
