The problem this agent solves
Search is fragmenting. A growing share of high-intent product research happens inside ChatGPT, Perplexity, Gemini, and Claude — not Google. If your brand is not in the training and retrieval surface those models pull from, you are invisible to a segment of buyers that grows every month.
How it works
01
Citation surface audit
We map every source LLMs cite in your category — Reddit threads, niche blogs, comparison sites, structured directories — and rank them by retrieval weight.
02
Answer-engine content production
We produce assets engineered for retrieval: answer-first paragraphs, structured comparisons, schema-marked FAQs, and citation-ready data tables.
03
Authority distribution
We place your content on the high-weight sources LLMs actually retrieve from, not the ones legacy SEO tools tell you to chase.
04
Continuous ranking measurement
We query the same models your buyers query, score where you appear, and iterate weekly. You see your rank inside each LLM, not just on Google.
What you get
- Citation map of your category across four major LLMs
- Monthly LLM ranking report (ChatGPT, Gemini, Perplexity, Claude)
- Twelve to twenty answer-engine-optimized assets per quarter
- Schema and structured data implementation across your owned properties
- Competitive share-of-voice tracking inside generative search
When you need it
- Your category is being researched inside LLMs and you do not know if you appear
- A competitor keeps showing up in ChatGPT answers and you do not
- Your traditional SEO traffic is declining but search demand is steady or growing
- You sell to a technical or research-heavy buyer (B2B SaaS, healthtech, fintech)
Industry context
Generative Engine Optimization is the discipline that replaces SEO for the LLM era. Where SEO optimized for keyword match and backlink count, GEO optimizes for retrieval probability and citation weight inside large language models. The mechanics are different, the success metric is different, and most agencies have not retooled yet.
A 2025 study found that 27% of high-intent commercial queries now begin inside an LLM rather than a search engine. That share is projected to cross 50% by 2027. Brands without a GEO strategy are quietly losing market share to brands that the AI has decided to recommend.
Use cases
B2B SaaS comparison queries
When a buyer asks ChatGPT "what is the best CRM for a 50-person sales team", the answer is being generated from a handful of sources. We make sure yours is one of them.
Category education for a new product
You are creating a category. LLMs are how buyers will learn it. We seed the citation surface before competitors catch up.
Defending against AI-cited misinformation
If an LLM is confidently citing wrong information about your brand, we identify the source and replace it with authoritative content.