When your customers ask ChatGPT, Claude, or Perplexity who to call, your competitors get cited — not you. CiVallo makes local businesses the answer AI gives.
Google is no longer where the decision happens. When someone needs an HVAC tech, a junk removal crew, or a plumber, they ask an AI — and the AI cites one or two businesses it trusts.
This isn't SEO. It's a different game with different rules. Most local businesses are missing the trust signals AI needs to confidently recommend them.
Directional trend illustration based on industry reporting. Exact share varies by market and query type.
Missing crawl signals, schema, and AI-readable content make your business harder for AI systems to understand and cite.
National franchises with stronger AI visibility capture the answers that should be going to local businesses like yours.
You never see the leads that went elsewhere. The gap compounds every month.
AVaTR™ — AI Visibility & Trust Readiness — is CiVallo's proprietary scoring framework. It measures every signal that determines whether an AI model recommends your business.
Review velocity, photo completeness, Q&A activity, and GBP signals that AI models pull from directly — including Google's Ask Maps (Gemini inside Google Maps), which crawls review text and photo metadata to answer conversational queries.
GBP ScoreFAQ schema, conversational content, and featured-snippet structure that feeds AI answer pools.
AEO Scorellms.txt deployment, AI crawlability, NAP consistency, and the signals that make you citable.
GEO ScoreLocalBusiness, Service, FAQPage, and Review schema — the machine-readable layer AI engines depend on.
Schema ScoreCross-platform NAP consistency and social content that reinforces AI citation signals.
Social ScoreThe probability that when someone asks "best [service] near [city]" to an AI, your business is the answer.
AVaTR™ ScoreA single number from 0–100 representing your AI visibility across all six dimensions. Most local service businesses score below 40 based on initial AVaTR™ scans. The gap between where you are and where competitors are is measurable, fixable, and costing you real revenue.
Get Your Score FreeMost SEO agencies optimize for Google rankings. We optimize for AI citations — a completely different signal. Here's exactly what goes into your score and why it matters.
Your Google Business Profile is where AI pulls your name, category, reviews, and service area. A missing, unclaimed, or incomplete GBP means AI skips you entirely.
Structured data is the machine-readable layer that tells AI engines exactly what your business does, where you serve, and what customers say. Most local businesses have none.
ChatGPT, Claude, and Perplexity use their own crawlers to index the web. If your robots.txt blocks them — even accidentally — you're invisible to AI search entirely.
AI models use review recency and volume as a trust signal. A business with 200 reviews from three years ago scores lower than one with 40 reviews from the past six months.
When AI sends a lead your way, can they actually reach you? Working phone, contact form, and booking link — the missing pieces that cause leads to bounce before they convert.
Traditional SEO agencies optimize for Google page rankings. That worked in 2019. AI search works differently — and most agencies aren't built for it yet.
| What You Get | CiVallo | Traditional SEO | DIY / Nothing |
|---|---|---|---|
| AI visibility audit with real data | ✓ | Rarely | ✗ |
| Schema + structured data deployment | ✓ | Sometimes | ✗ |
| GBP optimization for AI models | ✓ | Basic only | ✗ |
| AI crawler access verified | ✓ | ✗ | ✗ |
| Revenue gap estimate with dollar amount | ✓ | ✗ | ✗ |
| Live case study in your market | ✓ IronClad | ✗ | ✗ |
| Focused on local service trades | ✓ Only trades | Any industry | ✗ |
Every CiVallo engagement starts with a Revenue Recovery Audit — a full AVaTR™ scan with a specific dollar figure attached to every gap we find.
A full AVaTR™ scan across all six dimensions with verified technical checks, competitive intelligence, and a done-for-you implementation roadmap. We show you exactly how much revenue is leaving — and exactly what to do about it.
Full AVaTR™ stack implementation — schema, llms.txt, AEO content, GBP optimization — done for you.
Monthly monitoring, score tracking, and optimization to grow and defend your AI citation authority.
Three documented field assets — one internal crawlability repair, one live client implementation, and one AI-crawlable directory — proving that AI visibility can be measured, repaired, and documented in real local markets.
Internal AVaTR™ Crawlability Repair · East Bay, CA
CiVallo's own site underwent a full internal AVaTR™ crawlability audit before any client work began — repairing robots.txt, deploying llms.txt, validating JSON-LD schema, and correcting AI crawler posture. Every fix is documented. Every signal is live.
Junk Removal · East Bay + South Bay, CA · Live Client Implementation
CiVallo deployed the full AVaTR™ stack on IronClad Cleanouts from a zero baseline — new website, LocalBusiness schema, FAQPage schema, and AI crawler access configured. A Google AI Overview appeared on launch day. GBP reinstatement in progress. This is the same system we build for clients.
East Bay Select is a structured, AI-crawlable local business directory built entirely on CiVallo's GEO methodology. It demonstrates what happens when local business listings are built for AI discovery from the ground up. It is the proof-of-concept data layer behind CiVallo's local AI visibility methodology.
Enter your URL. Get your score, revenue gap estimate, and ghost risk in 90 seconds.
Full report with every gap, every dollar, and a 90-day prioritized roadmap.
We implement the visibility system — schema, llms.txt, AEO content, and GBP improvements — done for you.
Monthly monitoring, score tracking, and optimization to grow your AI citation authority.
Run a free AVaTR™ scan and see your AI visibility score, estimated revenue gap, and the competitors taking your customers — in under 2 minutes.
No credit card · No account required · Results in 90 seconds