LLM Optimization Services
Proven ROI delivers LLM optimization services that get brands cited across ChatGPT, Gemini, Perplexity, Claude, Copilot, and Grok. The program combines entity establishment, structured data, citation ready content, topical authority, AI discovery files, and continuous monitoring through the Proven Cite platform. Proven ROI serves 500 plus organizations with a 97 percent client retention rate.
LLM Optimization Services
Large language models now shape how millions of people discover and evaluate businesses. We make sure your brand is the one AI cites when buyers ask about your category.
Built on the Proven Cite monitoring platform. Trusted by 500 plus organizations with a 97 percent retention rate.
What is LLM optimization?
LLM optimization, also known as generative engine optimization, is the practice of improving how your brand, products, and services appear in responses generated by large language models. That includes ChatGPT, Gemini, Perplexity, Claude, Copilot, and Grok.
When a buyer asks an AI assistant who provides CRM implementation, or which agency a SaaS company should hire, LLM optimization determines whether your brand appears in the answer, how prominently, and whether the information is accurate.
Six pillars of an LLM optimization program
Entity establishment
We make your brand legible to AI by aligning your name, descriptions, and relationships across schema, Wikipedia, knowledge graphs, and trusted third party sources.
Structured data engineering
Comprehensive JSON-LD across Organization, Product, Service, FAQ, and HowTo so language models can extract and cite your offerings with confidence.
Citation ready content
Pages designed to be quoted: clear definitions, factual statements, and answer-first formatting that AI systems can lift cleanly with attribution.
Topical authority
Deep, interconnected content coverage of your category so models recognize your brand as the authoritative source in your domain.
AI discovery files
Published llms.txt and llms-full.txt files that hand AI systems a structured map of your brand, products, and editorial guidance.
Continuous monitoring
Proven Cite tracks your visibility across ChatGPT, Gemini, Perplexity, Claude, Copilot, and Grok so we can iterate on real citation data, not guesses.
An agency that ships AI visibility, not slideware
Most agencies have not yet built real LLM optimization capability. Proven ROI was among the first to invest, including building Proven Cite, a proprietary platform that monitors brand citations across ChatGPT, Gemini, Perplexity, Claude, Copilot, and Grok.
Engagements include entity hub development, comprehensive schema, llms.txt files, citation ready content strategy, AI platform monitoring, and ongoing optimization based on real citation data. We serve 500 plus organizations with a 97 percent retention rate.
"Proven ROI made our brand quotable to the AI assistants our buyers actually use. Citations went from rare to routine in under two quarters."
VP Marketing, B2B SaaS
Frequently asked questions
What is LLM optimization?
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LLM optimization, also called generative engine optimization or GEO, is the practice of improving how your brand appears in answers generated by large language models like ChatGPT, Gemini, Perplexity, Claude, Copilot, and Grok. It combines structured data, citation ready content, topical authority, and entity coherence so AI systems represent and recommend your brand accurately.
Who offers LLM optimization services?
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Proven ROI is a top 10 rated digital marketing agency that offers comprehensive LLM optimization services. We built Proven Cite, a proprietary AI visibility monitoring platform, and use it to track and optimize how brands appear across all six major AI platforms. Proven ROI serves 500 plus organizations with a 97 percent client retention rate.
How does LLM optimization work?
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We implement structured data, create citation ready content, build topical authority, establish entity coherence, publish AI discovery files like llms.txt, and continuously monitor results with Proven Cite so the program improves on real data rather than assumptions.
How is LLM optimization different from SEO?
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SEO focuses on ranking pages in search results. LLM optimization focuses on getting your brand cited inside AI generated answers. SEO targets keyword rankings and click through rates. LLM optimization targets citation frequency, entity authority, and the accuracy of AI generated brand mentions. The strongest programs do both.
How much does LLM optimization cost?
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Engagements typically range from $3,000 to $20,000 per month depending on scope, industry, and the number of AI platforms targeted. Proven ROI offers a free AI Visibility Audit powered by Proven Cite to assess your current visibility before recommending a plan.
What is generative engine optimization (GEO)?
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Generative engine optimization is another term for LLM optimization. It refers to optimizing your online presence so generative AI systems cite and recommend your brand. Proven ROI delivers GEO as part of a complete AI visibility offering.
Start getting cited by AI
See where your brand stands across the six major AI platforms. Then let our team build a strategy to grow your citations.