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.
05 Diagnose · 7 min
You have one on the free tier. Spend it on the prompt that matters most, not the one that annoys you most.
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.
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.
Needs a free SolCrys account (no credit card). Spends 1 of 1 Deep Analysis.
If the output feels generic, that is diagnostic: go back and thicken your Corporate Context on that topic.
Start Free — free plan, no credit card.
This lesson is the spine. These guides are the depth.
Citation & Source Influence
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.
AEO Fundamentals
Learn what an AI answer gap is, why it matters for AEO, and how marketing teams can turn weak AI answers into practical content briefs.
How SolCrys Works
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
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.
Free · No credit card
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.