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
Illustration · made-up businesses
A buyer asks AI
  1. ChatGPT

  2. Perplexity

  3. Gemini

  4. Claude

  5. Grok

  6. DeepSeek

2 of 6 AI models named CoolAir Pros.Buyers asking AI mostly hear about Valley Comfort Air.

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.

Veritas LinksReal check of Veritas Links, Oct 2, 2026
Named in AI answers
72%
0100%
36 of 50 answers from 6 AI models
Recommended first
6of 10 questions
Veritas 6Competitors 2Nobody 2
Simulated buyers who pick Veritas Links
3of 5
AI personas, not real people

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

1

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.

2

You see who they name, and why

Every answer, the sources each model leans on, and the brands it recommends instead of you.

3

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 →
62 pts apart
556571618
300585870
Perplexity 556, ChatGPT 571, Claude 618. Gap 62.

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

Plans
$49to $399 a month

Start free with one brand. Paid plans add more brands, monthly checks and simulated buyers.

See plans

For 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

Check your brand’s visibility inChatGPTClaudeGeminiPerplexityGrok

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

Find out what AI tells your buyers today.