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05 Diagnose · 7 min

Running a Deep Analysis

You have one on the free tier. Spend it on the prompt that matters most, not the one that annoys you most.

What it adds over reading the response

Reading responses tells you what happened. A Deep Analysis works on why — examining the answer against your context and the cited sources to produce reasoning about the gap and specific recommendations rather than a score.

The output is only as good as the Corporate Context underneath it. This is where the work in Module 2 pays off, and where a thin context document produces disappointingly generic recommendations. If the analysis comes back vague, the usual cause is that your context did not give it enough to reason with.

Choosing which prompt to spend it on

You have one. The instinct is to spend it on the answer that is most wrong about you, because that one is irritating. Usually the better choice is the prompt with the most commercial weight where you are absent — a recommendation prompt in your core category.

Ask which prompt, if the answer changed, would most change the pipeline. Spend the analysis there.

Where this lives in SolCrys

  • Deep Analysis is triggered per prompt from the prompt view.
  • Free includes one per month. Recommendations appear under the analysis on the prompt page.
  • Recommendations can be promoted into the Actions queue, which is where Module 5 picks them up.

Lab: Spend your one Deep Analysis

Needs a free SolCrys account (no credit card). Spends 1 of 1 Deep Analysis.

  1. Pick the highest commercial-weight prompt where you are absent or losing.
  2. Run the Deep Analysis on it.
  3. Read the reasoning before the recommendations — the reasoning is what teaches you the pattern.
  4. Promote the one recommendation you can actually ship into your Actions queue.

If the output feels generic, that is diagnostic: go back and thicken your Corporate Context on that topic.

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Check yourself

  • Why did you choose that prompt over the one that is most wrong about you?
  • Was the reasoning specific to your brand, or generic? What does that tell you about your context document?
  • Which single recommendation can you actually ship this week?

Go deeper

This lesson is the spine. These guides are the depth.

Citation & Source Influence

Citation Gap Audit

A 5-step framework to identify which sources AI engines cite for your competitors but not for your brand, and the recovery actions for each gap type.

How SolCrys Works

Inside the Action Hub: From Gap to Verified Lift

What SolCrys actually does after the dashboard surfaces a gap. The closed-loop workflow from detection to draft to brand review to ship to re-measurement — including the failure modes.

Buyer Guides

AI Visibility Dashboard vs AEO Execution Engine

AEO platforms split into two architectures: dashboards measure and report; execution engines diagnose, fix, and verify. This guide compares 6 use cases, walks through 5 real scenarios, and ends with a decision tree.

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Turn AI answer gaps into governed marketing execution.

Start free with a ChatGPT visibility read, then add multi-engine tracking, Corporate Context governance, and the action-to-result loop when you are ready.

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