LLMShowcase measures how ChatGPT, Claude, and Gemini recommend your brand during real buying decisions — and shows you exactly where competitors are displacing you.
Your free report gives you a complete picture of how AI systems like ChatGPT perceive and recommend your brand during real buying decisions.Visibility Score
How strongly your brand is recognised by AI systems in your category and region — scored and benchmarked against your competitors.Competitive Displacement Map
Which competitors are being recommended instead of you, and for which buyer questions. See exactly who is displacing you and why.Missing Attribute Analysis
The specific decision criteria that AI associates with competitors but not with you — things like "best for enterprise," "strongest omnichannel," "most cost-effective." These are the gaps that lose you shortlist spots.Signal Deficit Breakdown
A deterministic baseline showing where your structural signals fall short — ranking presence, attribute co-occurrence, and competitive parity thresholds — all in one table.90-Day Action Plan
A concrete, prioritized plan to close the gaps. Specific numeric targets, execution packages by competitor corridor, and sequenced recommendations — not generic advice.---Reports are generated from 50 real buyer-intent prompts simulating how enterprise decision makers use AI to shortlist vendors today. Not vanity metrics. Not follower counts. Structural signal analysis that tells you where you stand and what to do about it.
Marketing and brand leaders at B2B software companies who want to
understand — and improve — how AI systems recommend their brand
during vendor evaluation.You'll find it valuable if:You've invested in SEO and content but aren't sure if it's
translating into AI recommendations.You've noticed competitors being mentioned in AI outputs
more than your brand.You're preparing for a board conversation about AI's impact
on your go-to-market.You want a baseline measurement before AI visibility becomes
a standard marketing KPI.