---
title: AI Discovery Transcripts
description: Inspect the raw prompts and LLM responses behind your AI Discoverability results, so you can see exactly why an assistant did or didn't mention your app.
---

The AI Discovery Engine measures whether large language models — ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews — recommend your app when someone asks them for one. The headline scores tell you how you're doing. The transcript tells you why: the exact prompts each model was asked, and the raw answer each one gave back. This page shows how to open that detail and how to read it.

## Before you start

- Open a completed audit and go to its **AI Discoverability** section.
- Full per-model detail is plan-gated. On the Free and Basic plans you can open the transcript for the first model; opening the others prompts an upgrade to Pro. See [Plans and entitlements](/docs/billing/plans-and-entitlements) for what your plan includes.

## Open a transcript

### 1. Go to the Per-LLM Breakdown

In the AI Discoverability section, find the **Per-LLM Breakdown** — one card per model, each showing its presence, coverage, and dominant sentiment.

### 2. Open the detail

Click **Details** on a model's card (or a row in the **Cross-LLM Panel**). A dialog opens with that model's prompt battery and the stored response for each prompt.

### 3. Read the threads

Each entry in the dialog is one prompt paired with the model's raw answer:

- **The prompt** — the exact question the model was asked (for example, a category or use-case query a real user might type).
- **The raw response** — the model's full answer, verbatim. Where your app is mentioned, the mention is highlighted inline.
- **Mentioned / No mention** — a badge on each response saying whether your app came up at all.
- **Detected mention** — when your app is mentioned, the surrounding snippet is pulled out so you can read the context without scanning the whole answer.
- **Sentiment** and **position** — for a mention, whether it read positive, negative, or neutral, and roughly where in the answer it landed.
- **Run number** — some prompts are asked more than once to check consistency; each run is labeled so you can see whether the model mentions you every time or only sometimes.

A summary strip at the top counts the prompts, the mentions, and the responses with no mention, so you get the shape of the model's behavior before reading individual threads.

## How to read it

The transcript is the evidence behind the score. Use it to answer questions the score alone can't:

- **Why is my presence low for one model?** Read its threads. If it never mentions you across relevant prompts, that's a coverage gap. If it mentions you inconsistently across runs, your presence is fragile rather than absent.
- **Is a mention actually good?** A mention with negative or hedged sentiment, or one buried at the end of a long list, is worth less than an early, confident recommendation. The sentiment and position tell you which kind you got.
- **What language do the models use?** The prompts show how models frame the category your app competes in, and the responses show which competitors they name — useful signal for your own positioning.

:::note[Transcripts aren't always available]
Detailed per-prompt transcripts are stored per audit. An older audit, or one where the transcript payload wasn't retained, shows "Detailed transcript unavailable for this audit" instead of threads. Re-run the audit to capture a fresh transcript.
:::

## Troubleshooting

### The Details button prompts me to upgrade

Full per-model transcripts are plan-gated. The first model's detail is available on lower plans; the rest require a plan that includes full AI Discoverability detail. See [Plans and entitlements](/docs/billing/plans-and-entitlements).

### The dialog says the transcript is unavailable

That audit doesn't have a saved per-prompt payload for this model, so the raw prompts and responses can't be rendered. This happens on older audits. Run a new audit and open its transcript instead.

## Related

- [AI Discovery Engine](/docs/audit-engines/ai-discovery-engine)
- [Understanding your report](/docs/audits/understanding-your-report)
- [Plans and entitlements](/docs/billing/plans-and-entitlements)