AI Search Visibility

When Buyers Ask ChatGPT, Do You Exist?

Search has split: Google rankings still matter, but the buying question increasingly gets asked to ChatGPT, Gemini, and Perplexity. We measure whether AI recommends you — with a system we built — and then we fix what the models see.

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Capabilities

What We Design & Build

AI Share-of-Voice Benchmarking

A multi-LLM panel queries the questions your buyers actually ask, across the full buyer journey, and measures how often each model names you versus competitors.

AI Selection Readiness Audits

Being found is half the battle. We audit why a model would (or wouldn't) choose you — claims, evidence, comparisons — and produce the fix list.

Entity & Schema Optimization

Structured data, llms.txt, AI-crawler access, and entity-consistent profiles across the sources LLMs actually read — the technical layer of being knowable.

Answer-Ready Content Systems

Question-led, citable content produced programmatically — the format answer engines quote — feeding both classic SEO and AI answers.

Local SEO for Physical Businesses

LocalBusiness schema, Google Business Profile discipline, and voice-search-ready pages — live today for a New Jersey local business we run marketing for.

Marketing Automation That Compounds It

n8n and custom pipelines that turn visibility into pipeline: capture, enrich, score, nurture — built by a 20-year martech architect.

Real Build — AI Visibility Suite

We Didn't Read About AEO. We Built the Measurement System.

For a life-sciences B2B client we built and operate an AI Buyer Journey Benchmark — a panel of leading models (GPT, Claude, Gemini, Perplexity) queried across the buyer journey to measure AI share-of-voice against named competitors — plus an AI Selection Readiness Audit that explains why AI picks who it picks. The foundation underneath: our founder scaled a healthcare platform to 6M+ monthly organic visitors.

// FROM_THE_BUILD_SHEET ● IN PRODUCTION

Multi-model LLM panel with per-run cost and token accounting
Buyer-journey question sets, scored for brand share-of-voice
Constrained LLM-judge classification with evidence grounding
Web-evidence retrieval so audits cite what models actually see
Deliverable: prioritized fix list across content, schema, and entities
Track record: 6M+ monthly visitors scaled via SEO; up to 1,200% organic growth for agency clients

Engagement

How It Works

Benchmark

We run the AI panel on your market's buying questions and show you exactly where you stand — with receipts.

Fix the Foundations

Schema, entities, llms.txt, crawler access, and the answer-ready content the models are missing.

Re-Measure & Compound

Quarterly re-benchmarks track share-of-voice movement while automation turns new visibility into pipeline.

FAQ

Questions We Actually Get

Answer Engine Optimization and Generative Engine Optimization make your business visible inside AI answers — ChatGPT, Gemini, Perplexity, and Google AI Overviews. Buyers increasingly ask AI for recommendations; if the models don't know you, you're invisible at the exact moment of decision.

We built an AI buyer-journey benchmark that queries a panel of leading models across the questions your buyers actually ask, measures your share-of-voice against competitors, and audits why AI would (or wouldn't) select you — then we fix what it finds.

Yes. Our founder scaled a healthcare platform to 6M+ monthly organic visitors and has 20+ years of enterprise martech leadership. We build the full stack: SEO foundations, AEO/GEO optimization, and the marketing automation that compounds them.

Want This Running In Your Business?

Start with a free 30-minute systems audit. You'll leave with a scoped plan — whether you build with us or not.

Book the Free Audit