Messen Sie, wie ChatGPT, Claude, Gemini und Perplexity Ihr Unternehmen empfehlen.
Wir führen tägliche KI-Messungen durch, analysieren Empfehlungen, extrahieren Markenwähnungen, identifizieren Konkurrenten und verfolgen Veränderungen im Zeitverlauf.
Real AI responses · Evidence-backed results
Why TechGlanz is Different
Built for clarity, transparency, and business outcomes.
Real AI measurements
We analyze actual AI responses, not estimated SEO metrics or traffic multipliers.
Complete transparency
Every result is backed by verifiable evidence and audit trails.
Daily monitoring
Track how your AI visibility and recommendations change over time.
How Measurement Works
From user question to daily AI visibility tracking.
Explore a Real Live
TechGlanz AI Visibility Report
See how TechGlanz presents executive CEO answers, raw LLM completions, and evidence trails for live domains without synthetic guesses.
The 4-Step AI Search Growth Journey
We don’t throw fragmented tactics at your site. We execute a proven, sequential 4-step protocol that moves your domain from invisible to market leader in AI search.
See Where AI Search Recommends Competitors
We audit your domain against high-intent AI queries across ChatGPT, Perplexity, and Gemini to identify exactly where competitors are quoted instead of your brand.
Get Recommended, Not Skipped
We structure your core value proposition into machine-readable /llms.txt files and interconnected JSON-LD entity graphs so AI models can parse your services accurately.
Build AI-Ready Technical Web Speed
We optimize your technical architecture—canonical tags, H1 hierarchy, TTFB speed, and crawler access rules—so GPTBot and PerplexityBot index your site seamlessly.
Seed Trusted Sources AI Relies On
We secure verified citations on high-authority directories, industry publications, and wikis that LLMs actively scrape during RAG retrieval pipelines.
Don't Wait Until Your Competitors Become AI's First Choice.
Every day your business isn't optimized for AI Search is another opportunity for competitors to be recommended instead.
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