Answer Engine Optimization (AEO) Agency for B2B SaaS
When buyers ask ChatGPT, Claude, or Perplexity about your category, we make sure you're the answer they get
/ The Bottom Line Up Front
We make B2B brands the default AI recommendation.
We engineer your AI visibility through entity optimization, targeted content creation, and authority building in sources that LLMs trust. While competitors fight for Google rankings, we make you the default recommendation when AI answers buyer questions.
A snapshot of how we help companies
AI Visibility Audits
Find out how often AI mentions you, what it says, and how you compare to competitors across ChatGPT, Claude, and Perplexity
Entity & Knowledge Graph
Get your brand into Wikipedia, Wikidata, and other sources that AI models trust and reference when making recommendations
CITABLE Content Framework
Write content that AI actually cites. Our framework turns your expertise into the format LLMs prefer to reference
Schema & Structured Data
Add the technical markup that helps AI understand what you do, who you serve, and why you matter
Reddit & Community Building
Build genuine presence in communities where your buyers ask questions - the same places AI pulls real-world insights from
Citation Tracking & Analytics
Track every AI mention, measure sentiment trends, and connect AI recommendations directly to pipeline and revenue
/ Case Study
From 550 to 2,300+ AI-referred trials in 4 weeks
A B2B SaaS company quadrupled their AI-referred trials through targeted AEO. We transformed their presence from occasional mentions to consistent top recommendations across ChatGPT, Claude, and Perplexity.
4x growth
AI-referred trials
+312%
Citation frequency
4 weeks
Time to impact
The 6-step AEO process that makes you the default AI recommendation
AI Visibility Audit
We start by understanding exactly where you stand. Our comprehensive audit maps how often AI mentions your brand, what it says about you, and how you stack up against competitors. We analyze citation patterns across ChatGPT, Claude, Perplexity, and Google AI Overviews, identifying gaps and opportunities for improvement.
Query Cluster and Mapping
We identify the questions your buyers actually ask AI and map them to your solutions. By analyzing thousands of queries, we uncover the exact language patterns, problem statements, and comparison searches that matter. This becomes your roadmap for what content to create and which conversations to join.
Technical Optimizations
We implement the technical foundation AI needs to understand your business. This includes fixing crawlability issues, improving indexation, implementing structured data markup, entity optimization, knowledge graph connections, and schema implementation. We ensure both search engines and AI can easily parse your site structure, understand your offerings, and recognize your expertise.
CITABLE Content
Using our proven framework, we create content specifically engineered for AI citation. Each piece follows clear structure, provides comprehensive answers, includes verifiable facts, and uses the language patterns LLMs prefer. We turn your expertise into the format AI systems trust and reference.
Content Refresh and Optimization
Your existing content holds untapped AEO potential. We systematically update older content with AI-optimized structures, add missing context, strengthen entity relationships, and ensure factual accuracy. Small tweaks to existing pages often yield faster results than creating new content.
Authority Amplification
We build your presence in the sources AI models trust most. This includes earning Wikipedia mentions, contributing to high-authority forums, getting cited in industry publications, and building genuine Reddit presence. Every mention in trusted sources strengthens your AI visibility.
AI researchers and growth marketers working as your team.
We've built systems using LLMs. We've grown B2B companies to $20M+ ARR. Now we bring both skill sets to make your brand the answer AI gives when buyers ask questions about your category.
Ready to get started?
See how AI currently talks about your brand with a free visibility audit
Speak with teamNo commitment. 30-minute call.
Frequently Asked Questions
How is AEO different from traditional SEO?
SEO optimizes for search rankings. AEO optimizes for AI recommendations. While SEO targets keywords and backlinks, AEO focuses on entity relationships, factual accuracy, citation structure, and presence in AI training data sources. The goal shifts from ranking #1 to being the default AI recommendation.
Which AI platforms do you optimize for?
We optimize for the entire AI ecosystem: ChatGPT, Claude, Perplexity, Google AI Overviews, Microsoft Copilot, and emerging platforms. Our approach targets fundamental AI comprehension principles that work across all large language models, not platform-specific hacks.
How do you measure AEO success?
We track citation frequency across AI platforms, share of voice versus competitors, sentiment of mentions, and most importantly - pipeline attribution from AI-referred traffic. Our dashboards show exactly how AI visibility translates to trials, opportunities, and revenue.
What makes content "AI-optimized"?
LLMs process content fundamentally differently than humans. They parse text in chunks, analyze semantic relationships, and weight information based on structure and context signals. Our content is engineered for this processing: We use hierarchical heading structures that help LLMs understand information hierarchy. We front-load key facts in opening paragraphs since LLMs often truncate context windows. We include explicit entity relationships and co-references that help models understand connections. We incorporate structured data markup that provides machine-readable context. We ensure factual claims include inline citations that LLMs can verify. We avoid ambiguous pronouns and maintain consistent terminology throughout. Every piece is designed to minimize inference requirements and maximize extractable, citable information.
How quickly will we see AEO results?
Initial visibility improvements appear within 7-14 days as AI models refresh. Significant citation gains manifest within 4-6 weeks. The compound effect accelerates over 3-6 months as your entity authority strengthens and content accumulates in training data.