A pre-IPO company can audit how AI search describes it by asking ChatGPT, Claude, Gemini and Perplexity five factual questions and saving every wrong answer. The audit should run 12 to 18 months before filing. Wrong facts usually trace to an outdated or inconsistent source, and a source can be corrected before the quiet period limits what the company can say.
Last updated: October 24, 2026
In this guide
- What five questions should a pre-IPO company ask AI engines?
- Where do wrong AI answers about a company come from?
- What can a company fix before the quiet period starts?
- Frequently asked questions
What five questions should a pre-IPO company ask AI engines?
A pre-IPO company should ask each AI engine five factual questions and record the exact answers. The questions are:
- Who founded the company?
- What does the company do?
- Who are its main competitors?
- How much funding has it raised?
- Who leads it today?
Answers differ by engine, so the same five questions go to ChatGPT, Claude, Gemini and Perplexity. 5W's Banking AI Visibility Index 2026 uses the same multi-engine approach for financial brands, tracking which institutions get named across those four engines.
Where do wrong AI answers about a company come from?
Wrong AI answers about a company usually come from outdated or inconsistent sources that a retrieval system can find. 5W's generative engine optimization guidance names three common causes: language models confusing a brand with similarly named entities, attributing its work to competitors, and carrying outdated information.
Where an engine shows its sources, each wrong answer can be traced to the page it drew from. That page or profile is the item to fix. The guide to how earned media shapes AI search visibility explains why independent coverage gives engines better sources to retrieve.
What can a company fix before the quiet period starts?
A company can correct its website copy, leadership bios, structured data and public profiles before the quiet period starts. The same guidance lists Wikidata, Wikipedia, Crunchbase and LinkedIn as foundational sources to clean up, so the company is uniquely identified and accurately described.
The timing matters because a September 2025 Mayer Brown and Solebury webinar frames pre-IPO communications as work that has to align with disclosure controls once an offering is in preparation. The pre-IPO PR timeline shows where this audit fits among the other steps, and the wider scope is described on 5W's pre-IPO communications page. A baseline version of the check is described on the AI Citation Audit page. For the founder side of the same timeline, see the guide to founder visibility before an IPO.
Frequently asked questions
When should a pre-IPO company audit its AI visibility?
The audit should run 12 to 18 months before filing, while the company can still correct public sources freely.
Which AI engines should a pre-IPO company test?
Test ChatGPT, Claude, Gemini and Perplexity with the same five questions, because answers differ by engine.
Where do wrong AI answers come from?
Usually from outdated or inconsistent sources, such as old profiles, similarly named entities or competitor pages that a retrieval system can find.
Which sources should a company clean up first?
Website copy, leadership bios, structured data and profiles on Wikidata, Wikipedia, Crunchbase and LinkedIn.
The audit produces a list of wrong answers and the sources behind them. Correcting those sources is work a company can do freely before preparation starts, and it is easier to finish before filing preparation narrows what the company can publish.
This article is communications guidance, not legal advice.
