Ask AI what your buyers ask. See if it names you.
We ask ChatGPT, Perplexity, Gemini, Claude, Grok and DeepSeek the questions your buyers ask, show who they recommend instead of you, and tell you what to fix first.
Free, no card. We ask 6 AI models your buyers’ questions.
- 6 AI models
- ~24 buyer questions
- ~15 min to your report
- ChatGPT
- Perplexity
- Gemini
- Claude
- Grok
- DeepSeek
Example answers written for illustration. Your report shows the real answers all 6 models give about your brand.
What your AI visibility report shows
One number, VeritasScore, and the evidence behind it: every answer, every competitor AI names instead of you, and what to fix first.
VeritasScore starts at 300; six parts add points, and a risk deduction (up to 40, for weaknesses, threats and buyer objections) takes some away. The top is 870. It is a measurement, not a forecast. How it is calculated
How it works
We ask 6 AI models your buyers’ questions
ChatGPT, Perplexity, Gemini, Claude, Grok and DeepSeek answer the questions your customers type, written for your market.
You see who they name, and why
Every answer, the sources each model leans on, and the brands it recommends instead of you.
You get a 4-week action plan
Each fix comes with steps, a ready prompt for an AI agent, or help from our specialists.
AI models disagree about you. We measure by how much.
In the check of Veritas Links, one model gives 618 and another 556. We call the gap Split-Perception and show which sources cause it.
How Split-Perception works →Each logo is one AI model’s score for the brand on the 300–870 scale. Hover a model for its number.
Who uses VeritasLinks
Business owners and marketers
See which brands AI recommends for the questions your buyers ask, and the largest gaps to fix first.
Brand analysis →Agencies
Check every client brand, send reports under your own name and run the action plan for your clients.
White label for agencies →Risk and investment teams
Use what AI says about a company as one more signal in KYB, credit and due diligence.
Enterprise risk →Start free with one brand. Paid plans add more brands, monthly checks and simulated buyers.
See plansFor agencies
One workspace for every client brand, branded reports and an action plan your team can run.
White label for agencies →Learn how AI picks brands
Questions
What exactly does VeritasLinks measure?
We run 1,000+ structured prompts across ChatGPT, Claude, Gemini, Perplexity, Grok and DeepSeek to measure how often you're mentioned, how you're described, and who gets recommended instead. The result is a VeritasScore plus a full AI Brand Perception Audit. See a full AI Brand Perception Audit
What is GEO (Generative Engine Optimization)?
GEO is the practice of making your brand visible and accurately represented inside AI answers — the way SEO did for Google results. It covers content structure, citations, schema, and authority signals that LLMs actually pick up. Read: What is GEO
How do I check if my brand shows up in ChatGPT?
You can run a quick manual check by prompting ChatGPT with buyer-style queries in your category, but it only tells you part of the story. Our automated audit covers ChatGPT plus 5 other models with hundreds of variations. How to check brand visibility in ChatGPT
Is there a free tool I can try first?
Yes. The free GEO analysis returns your VeritasScore, top competitors AI recommends instead of you, and the 3 highest-impact fixes. Try the free GEO analysis tool
How much does it cost?
The first report is free. Paid plans add continuous monitoring, competitor tracking and the full fix-it toolkit (landing pages, FAQ schema, blog generation). See pricing
Is any of this backed by research?
Yes. The methodology and the cross-model divergence findings are written up in a public working paper on SSRN. Read the working paper
I'm an early-stage startup — is this useful for me?
Especially for you. Investors and early customers increasingly check AI perception during diligence. Fixing it early is 10× cheaper than after a bad narrative sticks. GEO for startups
Do you have anything for KYB, credit, or M&A teams?
Yes. The same multi-model method is the missing layer beside registry KYB, bureau files, and data rooms: split-perception as auditable evidence, not a chat screenshot. Enterprise risk, KYB, credit & M&A