Aiso (AISO) - AI Search Optimization | Track ChatGPT Visibility

Why do we 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.

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.

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.

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.

Conversation Explorer

Real prompts across AI assistants

Project management

Brand Visibility

28% Visibility Score

Fan-out Example

Prompt: "Best project management tool for agencies"

Top Competitors

Why it's accurate

Customer stories

Proof from brands using Aiso in the field.

Our research

Four arXiv papers on how people really search inside AI conversations

  1. 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.
    Read the paper (arXiv:2607.18904)

  2. 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.
    Read the paper (arXiv:2607.22392)

  3. 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.
    Read the paper (arXiv:2608.02556)

  4. 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.
    Read the paper (arXiv:2609.09878)

FAQs

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