AEOsim blog
Inside a free AI-search mini-audit
Table of contents
What the mini-audit answers
The free AI-search mini-audit answers one question for one product category: when a buyer asks ChatGPT or Gemini for help choosing, does your brand survive to the final recommendation, and if not, where does it drop out?
It is built for Indian D2C and ecommerce brands that already sell online and want a fast, evidence-based read before committing budget to AI search. Agencies can also request one for a client brand.
Most free "AI visibility checks" run a handful of opening prompts once and report how often you were mentioned. That tells you whether you entered the conversation. It says little about whether you won it. In AEOsim's controlled experiment, the brand listed first at discovery became the final pick in 100% of neutral chats and 9% of chats with ordinary purchase constraints (Chat Is the New Funnel). The mini-audit is designed around that gap.
What we check
- Pick the category and competitors. You name one product category and the competitors you lose deals to.
- Write the buying conversations. We script five-turn conversations in your category: an opening question, a comparison, a real constraint (budget, size, delivery, compatibility), an objection (trust, returns, authenticity), and a request to pick one.
- Run them repeatedly. Each conversation runs multiple times on ChatGPT and Gemini, because a single answer is one draw from a distribution.
- Track every turn. We record which brands are in the set at each turn, not only the first response.
- Find the drop-off. For each conversation, we identify the turn where your brand leaves the set and the constraint that removed it.
- Check the page that was pulled. At the decision turn, we look at which page the engine relied on (your PDP, a marketplace listing, a category page) and whether it answers the constraint that cost you.
We only use public information and public pages. We do not need access to your analytics, CRM or store backend for the mini-audit.
What you get
| Deliverable | What it tells you |
|---|---|
| Share of Recommendation | How often you are the final pick, versus your named competitors |
| Drop-off map | The turn and constraint where you most often leave the set |
| Pulled-page review | Which page the engine relied on at the decision turn, and what it was missing |
| Three priority fixes | The changes most likely to keep you in the set, ranked by effort |
| Engine comparison | Where ChatGPT and Gemini disagree about your brand |
You get a short written report and a 20-minute walkthrough call once you send your category and competitor list.
What it is not
- Not a full measurement programme. It covers one category and a small set of conversations. It shows where to look, not a statistically complete picture of your catalogue.
- Not a traffic or revenue estimate. It measures how engines behave, not how many buyers saw those answers.
- Not a guarantee. AI answers change with model updates and competitor activity. The audit is a dated snapshot with stated limits.
FAQ
Why is it free? It is the fastest way to show what conversation-level measurement finds that prompt tracking misses. You can act on the findings yourself, or move to a full Analytika programme if you want ongoing measurement.
Do you need our data? No. The mini-audit uses public pages and public AI engines only.
Will you publish our results? No. Results stay between us and you. We describe patterns from client work only in aggregate, never by brand.
What if we are not in the results at all? Then the audit tells you which competitor holds the decision turn and what their pages say that yours do not. That is often the most useful version.
We are an agency. Can we white-label it? Ask about white-label terms when you request one.
Related reading: Chat Is the New Funnel · Multi-turn AEO glossary · Why single-prompt tracking overstates your AI visibility
Request your free mini-audit. Book a 15-minute call and tell us your category.