Is your business agent-facing?
Your next customer asked ChatGPT, not Google. We show you exactly what it said about you — and fix it.
Where AI agents fail local businesses
When prospective buyers ask AI engines for recommendations, pricing, and hours, here is the shape of what goes wrong. Illustrative examples — the businesses below are fictional; your report quotes real answers, verbatim.
The Reality: ChatGPT quoted $120 for a procedure that actually costs $950 — setting up angry customer conversations before they even call.
The Reality: Gemini told a high-intent buyer that an HVAC company doesn't do emergency 24/7 furnace repair when that's 40% of their revenue.
The Reality: Claude answered "best med spa near me" by recommending a closed competitor 8 miles away while omitting the client entirely.
How it works
Three simple steps to measure and fix your visibility across AI models.
We ask 25 buyer questions the way your customers do
We query ChatGPT, Gemini, Claude, and Perplexity with high-intent local queries: pricing, weekend hours, emergency availability, and competitor comparisons.
We grade every answer against your own website
We crawl your website ground truth (services, pricing, hours, booking paths) and grade every AI response fact-by-fact for hallucinations and omissions.
You get the blind-spot report + fix pack
You receive your 0–100 Agent-Facing Score, verbatim quotes of every error, and a turnkey fix pack (llms.txt, FAQ JSON-LD schema, page rewrite guidance).
What you get in your audit
A complete intelligence report and actionable implementation assets.
Agent-Facing Score (0–100)
Weighted composite metric measuring your visibility (40%), accuracy (40%), and competitor displacement resistance (20%).
25 Buyer-Intent Prompts across 4 AI Engines
Complete answer transcripts across OpenAI (ChatGPT), Google (Gemini), Anthropic (Claude), and Perplexity.
Top 5 Blind Spots (Exact Quotes)
Ranked by revenue impact: exact quote → what is actually true → root cause analysis of why the AI hallucinated.
Turnkey llms.txt File
Ready-to-host structured markdown file adhering to the official standard so AI search bots ingest verified facts.
FAQ Schema JSON-LD
Schema.org structured microdata to embed in your site head, countering specific hallucinations discovered in the audit.
AI Crawler Diagnostic & Copy Suggestions
Robots.txt configuration for GPTBot, ClaudeBot, PerplexityBot, plus copy rewrites for pricing and services pages.
Transparent pricing
One-time audit to diagnose and fix. Monthly retainer to protect your ranking.
The Agent-Facing Audit
One-time comprehensive diagnostic & fix pack.
- ✓ Full website ground truth crawl (up to 13 pages)
- ✓ 25 buyer questions across 4 AI engines (100 total answers)
- ✓ Agent-Facing Score (0–100)
- ✓ Top 5 blind spots with verbatim quote verification
- ✓ Turnkey
llms.txt+ Schema JSON-LD - ✓ Copy rewrite recommendations & robots.txt guide
- ✓ Delivered in 10 minutes to your inbox
Agent-Facing Monthly
Continuous monitoring & monthly delta reports.
- ✓ Automated monthly re-runs of all 25 buyer prompts
- ✓ Delta report tracking score drift & new hallucinations
- ✓ Continuous
llms.txt& schema updates - ✓ Competitor displacement tracking
- ✓ New model release benchmarking
- ✓ Dedicated operator support
Frequently asked questions
Everything you need to know about AI search visibility and audits.
Why does ChatGPT or Gemini get my business wrong?
AI engines synthesize information from stale third-party directories, outdated blog posts, and Reddit discussions. If your site lacks semantic headings, structured JSON-LD schema, or an llms.txt file, the model fills in the gaps by hallucinating plausible numbers.
How do you know what agents are saying about me?
We query live AI engines (ChatGPT/OpenAI, Gemini, Claude, and Perplexity) with real buyer prompts in real time. We record every character returned and store the verbatim transcript in your audit ledger.
What is the "verbatim quote" hard rule?
Every single quote highlighted in your blind spot report is strictly verified as an exact character-for-character substring of an actual AI model response. We never synthesize or exaggerate errors.
How fast do I get my report?
Our automated workflow crawls your site, runs the 100 agent queries, grades facts, and compiles your fix pack in under 10 minutes. You can watch the real-time progress on your status screen.
What do I do with the Fix Pack?
You or your webmaster simply upload the generated llms.txt file to your root domain and paste the FAQ JSON-LD script into your site header. We include exact copy-paste instructions.