Built to answer a questionmost brands haven't asked yet.
See how AI describes and recommends your brand, which pages need attention, and what changed after your next scan.
The problem Vantae was built to solve.
Search engines built a world where the primary optimization target was the ranking page. Brands spent a decade tuning keywords, building links, and improving Core Web Vitals — all to influence a list of links that humans would then choose from.
That model still matters. But something has changed in the layer above it. Buyers now ask AI assistants before they browse. They say "What's the best platform for X?" and they get a recommendation, not a list of links. The AI system reads your site, forms a view of your brand, and decides how to describe you — or whether to mention you at all.
Most brands have no visibility into that process. They don't know what ChatGPT says about them. They don't know whether Claude cites their pricing page or a competitor's. They don't know whether the facts in an AI recommendation are accurate.
Vantae was built to turn that evidence into prioritized improvements.
What Vantae does.
Vantae crawls your website, queries ChatGPT, Claude, Gemini, and Perplexity with category-level questions, cross-references their responses against your site content, and surfaces the gaps. Not as a score to watch, but as a ranked checklist of specific things to fix.
Every recommendation is attributed to the AI providers that flagged it, scored by cross-provider agreement, and paired with the exact before/after copy. If your pricing page is confusing an AI system, you'll see the specific claim that's causing the confusion and the language to use instead.
Recommendation status persists across scans. After you ship changes, re-scan to compare scores and findings over time, including improvements and regressions.
For teams that want to go further, the AI Agent module tests whether real AI agents can complete tasks on your site: find pricing, book a demo, and locate support. It measures observed task success in real time rather than making a market-wide exclusivity claim.
Who Vantae is for.
Vantae is built for any team accountable for how their brand performs in AI-mediated discovery.
B2B marketing and demand gen
Teams accountable for how the brand is discovered, described, and compared in AI-mediated channels. Vantae gives them a measurement-first view of AI brand presence and a prioritized fix list tied to evidence.
Agencies and consultants
Firms delivering AI visibility audits for clients. Vantae automates multi-provider assessment and generates client-ready reports with scored, copy-paste-ready recommendations.
Founders and growth teams
Early-stage teams building credibility in categories where buyers research via AI. Vantae shows how AI systems currently describe the product and which signals to address first.
Enterprise brand teams
Organizations tracking AI brand perception across multiple product lines and markets. Portfolio dashboards, scheduled scans, and team collaboration are built for enterprise scale.
What we believe.
Four principles shape how Vantae is built and what it prioritizes.
Measurement before opinion
Every recommendation in Vantae is backed by cross-provider evidence. We don't tell you what to fix based on best guesses — we show you what the AI systems actually said.
Specificity over dashboards
A score without a fix is noise. Vantae prioritizes giving teams the exact page, the exact change, and the exact copy — not another metric to monitor.
Built for the second audience
Your site has always had two audiences: human buyers and search engines. Now it has a third — the AI systems that read, interpret, and recommend on behalf of buyers. Vantae is built for that third audience.
Progress that compounds
Recommendation status persists across scans. The goal isn't a perfect dashboard; it's a shorter checklist every week.
See how AI systems describe your brand.
Request access and a team member will show you exactly where you stand across ChatGPT, Claude, Gemini, and Perplexity.