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.
Built on real AI conversations
Why do recommend your competitors instead of you?
Aiso research found that a median 59% of what users say in multi-turn AI conversations comes after the first prompt.
01See what people want
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.
See what people ask, how AI researches it, and where your brand appears
1. Conversation Explorer
Discover and curate real AI conversations that reveal what people actually ask about your products, services, and category.
2. Fan-outs & GPT Trends
See how prompts break into hidden sub-queries, where your brand appears, and how visibility changes over time.
3. AI Mention Tracker
See how often your brand appears in AI answers, which competitors show up more, and what to do about it.
Published & featured
Our research
Four arXiv papers on how people really search inside AI conversations
We publish the measurement work behind Aiso as preprints, so you can check the method before you trust the numbers. Every paper has a plain-language write-up.
Answer-Reconstruction Search Density
The median information-seeking answer packed 11 retrievable facts into 3 facets across 183 conversations. One AI answer can absorb a bundle of searches that query analytics count once.
The Prompt Is Not the Query
Across 8,133 conversations the final prompt carried a median 36% of the session's user vocabulary, and about half the time a need stated earlier never reached that last prompt.
Beyond the Final Prompt
In 180 paired conversations, answers built from the full history differed materially from final-prompt-only answers in 44.7% of cases. Conversation context changes what the model says.
Purchase Advice and Observable Buyer Responses in Real AI Conversations
Recommendations appeared in 77.6% of purchase-directed episodes, but only 26.9% carried a later message that continued the same buying mission.
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