AI systems are describing your company right now.

We audit what they say, fix the signals they rely on, and monitor drift—so your AI identity stays canonical and citation-ready.

VerisAI is an AI Visibility Governance platform that audits, monitors, and fixes how AI systems describe your company across ChatGPT, Gemini, Claude, and Perplexity.

Step 1: Technical

AI Readiness Check

Check whether AI crawlers can access and interpret your key pages—robots.txt, indexing signals, and structured data.

Run Readiness Check
Step 2: Integrity

AI Knowledge Diff

Compare your ground truth to AI claims. Flag factual discrepancies and missing facts.

Run Knowledge Diff
Step 3: Visibility

AI Citation Monitor

Check if AI platforms cite your company when answering industry questions — or cite your competitors instead.

Check Citation
Step 4: Compliance

AI Act Readiness

Map your AI use case against EU AI Act transparency requirements. Identify gaps and get draft disclosure notices — before August 2026.

Check AI Act Readiness
RISK
Identity Distortion
AI blends historical training data with live signals. Conflicts produce a distorted compromise—wrong category, outdated facts, or hallucinated capabilities—without clear governance.
AUDIT
Invisible to AI Crawlers
If your site blocks AI bots or lacks structured data, AI defaults to third-party sources — competitors, aggregators, outdated news.
DRIFT
Deal & Diligence Risk
Investors, partners, and buyers query AI before any meeting. A wrong answer there costs more than any SEO ranking.
CONTROL
First-Mover Window
Early signals can become default citations. Proactive improvements to AI interpretability create compounding visibility advantages.

About

We provide AI Visibility Governance—auditing signals, correcting drift, and monitoring canonical consistency over time.

What is AI Visibility Governance?

AI Visibility Governance is the practice of managing and controlling the signals AI systems, search engines, and language models rely on to understand and represent your company's identity. It helps reduce identity drift by aligning canonical signals across your website and key external references, and by monitoring changes over time.

How does VerisAI improve how AI systems describe my company?

VerisAI audits the signals AI systems rely on (web + external references), identifies identity drift, proposes canonical corrections via runbooks, and monitors whether AI outputs converge over time.

What are AI crawlers and why do they matter for my business?

AI crawlers are automated systems used by AI platforms like ChatGPT, Claude, Perplexity, and Google AI Overview to gather information about companies and entities. They matter because they determine how your company is represented in AI-generated responses, which increasingly influence customer decisions and brand perception.

How long does an AI readiness audit take?

Timing depends on footprint complexity and scope. A readiness audit includes crawl analysis, signal consistency checks, structured data assessment, and a report with prioritized remediation steps.

Does VerisAI work with Google AI Overview and other AI platforms?

Yes, VerisAI's governance framework is designed to work across all major AI platforms including Google AI Overview, ChatGPT, Claude, Perplexity, and other AI search systems. Our approach focuses on standardized structured data and authoritative signals that major AI systems can recognize and prioritize.