CASE STUDIES
Real Results. Real Citations.
LLMReach clients do not just rank - they get cited. By ChatGPT. By Claude. By Perplexity. By Gemini. This is what that looks like in practice.
Generative Engine Optimization produces measurable outcomes: AI Visibility scores, Share of Voice percentages, citation counts, and LLM referral traffic. Every case study below documents a real client engagement with a defined intervention and verified results. No projections. No estimates.
All Case Studies
NexumAutomations
NexumAutomations had zero presence in AI-generated answers. LLMReach built the full technical AEO infrastructure - schema, entity signals, citation-optimized content - and took them from no AI visibility to measurable, tracked citations across five platforms.
Read the case studyMore case studies coming soon.
We add new client results as engagements close and data matures. If you want to see results in your sector before they are published, book a free AI Visibility Audit - we will walk you through comparable engagements under NDA.
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Is your brand invisible to AI engines?
The free AI Visibility Audit tells you exactly where you stand across ChatGPT, Claude, Perplexity, and Gemini - and what it would take to get cited.
FAQ
Case Studies: Common Questions
What is an AI Visibility score and how is it measured?
AI Visibility is the percentage of tracked AI responses that include a mention or citation of your brand. LLMReach measures this across ChatGPT, Claude, Perplexity, Gemini, and other platforms using a set of tracked prompts mapped to your category and competitors.
How long does it take to see GEO results?
Timelines vary based on baseline visibility, domain authority, content depth, and competitive density in the category. Most clients see measurable movement within the first 30 days of a focused technical intervention.
Do GEO results apply to my industry?
The GEO methodology - entity clarity, schema implementation, citation-optimized content, off-site authority building - applies across B2B verticals. The specific prompts tracked, the competitor set, and the content strategy are tailored per engagement.
What metrics does LLMReach track for clients?
AI Visibility score, Share of Voice across AI platforms, citation count, brand mention frequency, Average Position in AI responses, and LLM referral traffic via GA4. Every engagement includes a baseline audit so results are measured against a verified starting point.
Can I see results for my industry before committing to an engagement?
Yes. Book a free AI Visibility Audit and we will show you your current baseline across all four major AI engines, how you compare to competitors, and what a realistic improvement trajectory looks like for your category.