01
Find real questions
See the questions buyers actually ask AI, including the follow-ups that reveal what they need.
59%of what people say in multi-turn AI conversations comes after the first prompt.
For brandsYour customers are already asking AI.
Your customers are already asking AI.
Are you in the answer?
Aiso starts from real AI prompts, not guesses. Discover what people ask, which competitors appear, and what to fix next so AI cites your brand instead.
From real demand to measurable action
Aiso connects the questions people ask AI with the sources and brand signals that shape the answer. Teams can see real prompts and follow-up questions, inspect the fan-out searches behind an answer, compare their mentions with competitors, and track which domains and pages are being cited. The result is a practical queue of content, technical, and third-party work rather than a generic visibility score.
Across 21+ Aiso test runs, changing the user's saved ChatGPT memory did not change the fan-out queries, recommended brands, or their order. The hidden searches were more stable than the final wording of the answer. See the research.
02
Build for the answer
Improve the content, technical foundation and authority signals that shape whether AI recommends you.
50%of unique terms appear after turn one, revealing needs a keyword list can miss.
In a controlled Aiso experiment, structured data made identical content roughly 30% easier for AI systems to retrieve. The test used paired sites with and without JSON-LD across ChatGPT and Perplexity. Read the experiment.
03
Turn visibility into demand
Track where your brand enters the answer, then focus the work that helps the right buyer choose you.
41%of AI conversations continue beyond one turn, where preferences become clearer.
In one Aiso citation-source analysis, a single third-party page was cited 41 times across eight tracked prompts. Visibility can concentrate around a surprisingly small number of external sources.
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