LLM.txt & MCP Endpoint
A structured manifest at your domain root, plus a lightweight MCP server for catalogs queried often — so agents read your business accurately instead of guessing.
AI VISIBILITY PROGRAM (AEO)
Find out what AI says about you before your buyer does.
Your next customer may never visit your website. They'll ask ChatGPT, Claude or Perplexity to compare options — and that assistant will quote whatever it can parse. If your pricing lives in scripts, your policies sit in unparsed PDFs and your comparison pages read like marketing, the agent will misquote you, skip you entirely, or recommend a competitor in your place.
<business>
ServicesWhat you do.
PricingWhat it costs.
PoliciesWhat to expect.
ProofWhy to choose you.
</business> Understandable. Verifiable. Comparable. — so AI agents get it right the first time.
BUILT FOR REAL WORK
What we fix
01
Parsable Pricing Architecture
Pricing hidden in tables and scripts becomes machine-readable semantic HTML and schema markup — so agents quote your real numbers, not a stale review from three years ago.
Honest Comparison Assets
Objective matrix pages covering trade-offs, target segments, integration limits and migration paths — so when an agent weighs you against a competitor, the comparison is fair and grounded in facts you control.
Schema Markup & Plain Language
Structured metadata across products, policies and FAQs, with jargon replaced by factual definitions — so both people and agents understand exactly what you offer.
IN FOCUS
05Buyer-Intent Diagnostic Audit
For B2B SaaS, professional services firms and e-commerce brands whose buyers now ask AI who to choose.
The problem: Your next customer may never visit your site. They'll ask an AI assistant to compare options — and that assistant will quote whatever it can parse. If your pricing is buried, your policies are unreadable and your comparisons read like ads, the agent misquotes you, skips you, or recommends a competitor instead.
What you get:
- A captured baseline of what ChatGPT, Claude and Perplexity actually say about you today — the real answers, not a survey.
- A named failure list: outdated pricing, missed mentions, competitors recommended in your place, misquoted policies — with the structural cause behind each.
- A prioritized fix plan mapped to the specific repairs that move recommendation share fastest.
- A 30-minute readout walking you through the answers and the plan.
The new life: When the fixes ship, your pricing is quoted correctly, your policies are read accurately, and when a buyer asks an AI who to choose, you're in the answer — cited, compared fairly and recommended for the use cases you actually win.
THE WAY FORWARD
Monitored every month
Re-test
Every 30 days we re-run the prompt benchmark suite — so you see what AI says about you today, not last quarter.
Track
Recommendation share measured month over month — so progress is visible to you and your board.
Catch
Emerging hallucinations and misquotes identified before they cost you a client.
Update
Structured files refreshed and new proof points published as your business changes — so your AI answer stays current as you grow.
YOUR NEXT MOVE
See what AI says about you — before your buyer does.
Ask us about an AI reputation audit (buyer-intent diagnostic), credited toward your first month of monitoring.