AI Search Audit
Mapping of your current citation surface across ChatGPT, Perplexity, Claude, Gemini, and AI Overviews. Where you appear, where competitors appear instead, and the gaps worth engineering against.
Module · Answer Engine Optimization
Engineer brand citation in AI search at scale.
ChatGPT, Perplexity, Claude, and Google AI Overviews are reshaping how B2B buyers discover and evaluate vendors. AEO engineers your content into the citation patterns these systems actually surface — schema, fact density, source authority, and answer-shaped structure.
What's engineered
Six engineered capabilities.
Citation-Shaped Content Engineering
Content engineered for LLM consumption — structured answers, fact density, source authority signals, and the syntactic patterns that get surfaced in generative outputs.
Schema & Structured Data
Schema.org markup, JSON-LD implementation, and the semantic structure that AI systems use to extract citable facts from your pages.
Authority Signal Engineering
Off-page signals AI systems weight: third-party citations, mentions in trusted sources, structured data on partner sites, and the link velocity patterns that translate to AI trust.
Citation Tracking & Attribution
Server-side tracking of when and where your brand gets cited in AI outputs. Mathematical attribution from AI-driven mentions to actual pipeline.
Continuous Optimization
AI search systems retrain weekly. Static content engineering won't compound — we run continuous testing, prompt-pattern analysis, and iterative content updates against changing model behavior.
Why this matters now
Beyond traditional SEO.
Google AI Overviews now answer 13% of US search queries without the user clicking through. ChatGPT processes 1B+ queries weekly. Perplexity has captured the technical buyer segment. The mathematical reality: a meaningful percentage of your future buyers will encounter your brand first as an AI-generated citation, not as a search result they click. AEO is the engineering work that determines whether you appear there at all.
Engineered for compounding citation share.
AEO is not a one-time content rewrite. It's a continuous engineering program where every published asset is structured for AI consumption from day one, every authority signal is mathematically tracked, and every model behavior shift is responded to within weeks, not quarters. The brands engineering for AEO now will compound a citation share advantage that's expensive to catch up to later.
Mathematical attribution, not faith.
Most AEO providers can't tell you whether their work is producing actual pipeline impact. We engineer the measurement layer alongside the content layer — server-side tracking of AI referral traffic, citation monitoring across all major LLMs, and attribution models that connect AI-driven brand mentions to closed revenue. You see the math, not the marketing claim.
Tooling deployed
The stack we engineer on.
Content engineering: Notion, Webflow CMS, Framer CMS, custom Next.js MDX pipelines.
Schema & structured data: Schema.org JSON-LD, OpenAPI specs, custom XML feeds for AI ingestion endpoints.
Citation monitoring: Custom scrapers across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews. Server-side capture into BigQuery for trend analysis.
Attribution: Server-side GTM, Stape, custom referrer parsing, multi-touch models on BigQuery and Snowflake.
Authority signals: Programmatic outreach via n8n workflows, structured citation campaigns, partner co-marketing automation.
Engineer your AI search presence
Get an engineered AEO strategy for your market.
Discovery Audit includes an AI search baseline mapping — where you appear today, where competitors appear instead, and the highest-impact engineering moves for your specific category. Six weeks, fixed scope, your roadmap.