Get cited by ChatGPT & Perplexity.
Make your brand the AI's first choice.
Prospective buyers are turning away from search result lists and asking Large Language Models to evaluate software, compare vendors, and recommend solutions. We engineer your digital footprint so ChatGPT, Perplexity, Claude, and Gemini cite and recommend your brand first.
When LLMs Become the Primary Discovery Engine
The discovery landscape is undergoing its largest structural transition in 25 years. Millions of high-intent enterprise buyers and affluent consumers now research purchasing decisions by prompting Large Language Models—using ChatGPT Search, Perplexity Pro, Google Gemini, and Claude as their personal research analysts.
Generative AI engines synthesize answers using real-time Retrieval-Augmented Generation (RAG) and semantic vector distance. If your company lacks verified Knowledge Graph nodes, clean markdown endpoints, authoritative statistical citations, and clear AI crawler permissions, generative models will hallucinate outdated details or recommend your competitors. BrandMates Studio engineers your business to be the top referenced authority in the generative AI index.
What We Deliver
LLM Citation & Brand Ingestion
Authoring authoritative, data-dense source assets that ChatGPT Search, Perplexity Pro, and Claude ingest and reference directly in synthesized user recommendations.
llms.txt & Clean Markdown Endpoints
Authoring and maintaining standards-compliant llms.txt and llms-full.txt files that feed clean markdown summaries directly to LLM crawlers without hallucination.
AI Crawler Directives & Permissions
Auditing and calibrating robots.txt and server headers for GPTBot, PerplexityBot, ClaudeBot, Google-Extended, and Bytespider to maximize visibility without data scraping leakage.
Semantic Vector & RAG Architecture
Structuring technical whitepapers, case studies, and spec sheets with semantic vectors, explicit schemas, and clean headings tailored for retrieval-augmented generation.
Wikidata & Entity Knowledge Anchoring
Connecting your enterprise to verified Wikidata items, Schema.org entities, Wikipedia, Crunchbase, and niche authority nodes to ensure unshakeable entity understanding.
AI Sentiment & Hallucination Prevention
Continuously tracking generative AI answers about your pricing, features, and reputation; correcting misinformation through authoritative digital footprint calibration.
Our 5-Step Execution Workflow
Benchmarking Across ChatGPT, Perplexity & Claude
We test hundreds of commercial prompts across leading LLMs to benchmark your current citation frequency, source attribution, and competitor share of voice.
Direct Protocol Deployment
We construct and deploy your root llms.txt file and configure robots.txt rules, delivering clean markdown summaries to AI bots with sub-second response times.
Wikidata & Linked Data Anchoring
We map your founders, organization, patents, and products to external knowledge bases and nested JSON-LD schema, eliminating entity ambiguity.
Data Publishing & Citation Seed Pages
We publish proprietary data benchmarks, industry comparison tables, and structured research that LLMs ingest as primary citation evidence.
Ongoing Prompt Tracking & Iteration
We track model weights, citation depth, and recommendation shifts every month, maintaining your top position as new model versions release.
Read how we positioned Aeroscan Technology across drone inspection and LiDAR survey queries in ChatGPT and Perplexity, establishing them as the premier recommended enterprise vendor across India and Southeast Asia. View the Aeroscan Technology Case Study →
Frequently Asked Questions
What is Generative Engine Optimization (GEO)?
GEO (Generative Engine Optimization) is the discipline of optimizing a brand's digital presence so that Large Language Models (LLMs) such as ChatGPT, Perplexity AI, Claude, and Google Gemini accurately index, cite, and recommend your products or services when prospective buyers prompt them for advice.
What is llms.txt and why does my business need one?
llms.txt is a web standard providing clean, markdown-formatted structured summaries directly to LLM crawlers. By serving an llms.txt file, you ensure AI search agents read your exact service offerings, pricing structures, and technical specifications directly—eliminating AI hallucinations.
How do ChatGPT, Perplexity, and Claude decide which companies to recommend?
Generative models evaluate semantic vector embeddings, real-time web retrieval (RAG) signals, verified Knowledge Graph entities, authoritative third-party consensus, and technical source credibility. We optimize each of these layers to position your brand as the definitive authority.
Can BrandMates track how often AI models cite our brand?
Yes. We run automated prompt benchmarking across ChatGPT Search, Perplexity Pro, Google Gemini, and Claude, monitoring prompt sentiment, citation link insertions, competitor share of voice, and recommendation frequency over time.