AI Visibility
measured55/100
Frequently Cited · in Video Editing
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals53/100
Some gaps
Avg Prompt Score
97
across 212 prompts
AI Share of Voice
100%
across 196 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Video Editing
Composite = 50% coverage + 30% engine breadth + 20% position, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Per-stage performance
Cited rate · share of voice · engine consensus · sentiment, broken out by buyer-journey stage. Sentiment is the net positive−negative skew across engines that cited the brand at this stage.
Executive summary
TechSmith is highly likely to be cited by AI engines for evaluation-stage queries because it has strong G2 presence (e.g., TechSmith seller page exists and is actively reviewed) and it publishes crawlable, specific pricing on its store pages (e.g., Camtasia suite tiers with dollar amounts). The biggest citation risk is conversion-stage “pricing plan” and evaluation-stage “SoftwareApplication/FAQ” structured extraction: the site shows pricing and comparison content, but live search did not surface SoftwareApplication/FAQPage/llms.txt/robots.txt evidence, which can reduce rich-result eligibility and first-party citation reliability.
Based on audit of techsmith.com · Aug 29, 2026