Audit the AI Brain.
Own your narrative.
Your next customer is asking ChatGPT, Claude, and Gemini about you. What the models say isn't always true — and you don't see it happen.
Vantage AI shows you exactly what the models are saying, where it's wrong, what's missing, and what to publish to fix it.
The conversation is already happening.
AI assistants are now part of how buyers research vendors. They summarize, compare, and recommend — usually before a sales conversation begins.
Models confuse companies with similar names, invent founders, surface stale numbers, miss recent leadership changes, and state guesses with the same confidence as facts.
Sometimes the models say nothing at all about you. That's its own kind of problem — and the comms team you're paying has no way to see it.
There's no inbox for AI mistakes. No alert. No dashboard. The conversation about your company is already happening — you just can't see it.
More questions about how AI builds its picture of your brand? Read the FAQ →
What an audit actually surfaces.
Anonymized — a major cybersecurity brand, scanned during product testing.
- •The brand's founder stepped down as CEO in 2023 and launched a new $190M-funded venture in 2026 — material to leadership accuracy in any AI response, and not yet reflected on Wikipedia.
- •A flagship product was quietly tagged "Legacy" by Gartner, signaling product-line retirement that the company's own messaging hasn't addressed.
- •A widely-circulated critical essay ("The Mirage of [Brand]") was being pulled into model context — a sentiment risk the comms team had no visibility into.
- •Both Claude and Gemini returned empty responses for several prompts, indicating an AI-visibility gap for a brand of this prominence: the models couldn't generate usable narrative at all.
- 1.Publish JSON-LD Organization and Person schema with current leadership data.
- 2.Update Wikipedia to reflect post-acquisition leadership and product changes.
- 3.Syndicate updated profiles to Crunchbase, PitchBook, and CBInsights — heavily weighted in LLM grounding.
- 4.Issue a clarifying byline in a trade outlet to counter the critical narrative.
- 5.Reactivate brand-specific social channels to maintain entity recognition.
This is what every Vantage scan produces: the wrong thing the models said (or didn't say), why it matters, and the specific actions that change what the models see next.
You don't have to wait for the next model retrain.
Foundation models retrain every 6–12 months. Your reputation can't wait that long. Every Vantage scan triggers live web-grounded queries through Claude and Gemini, so the report reflects what's actually retrievable about you right now — not what was true a year ago. When you publish a fix, the next scan picks it up.
Five concrete outputs per audit.
Hallucination detection
Invented facts, fabricated quotes, wrong leadership, wrong dates, conflated companies — flagged with the source the model likely pulled from.
Visibility gap detection
When models return empty or evasive responses about you, that's a finding, not a glitch. We flag it and tell you why.
Sentiment tracking
How models describe your brand over time, with deltas between scans and the specific sources driving the shift.
Source visibility
Up to 122 sources consulted per scan. You see the ones the models are pulling from, and the ones they're missing.
Specific fixes
3–5 concrete recommendations per scan: what to publish, where to publish it, and which signal the models will see next.
Built for teams that need to ship the fix.
A score is the start. These features turn each audit into a workflow your team — or your clients — can actually act on.
Competitor Benchmarking
Pin rival brands (3 on Pro, 5 on Agency) and see their scores side-by-side with yours — paired sub-score bars and per-metric deltas, right inside the report.
Scheduled Re-Scans + Email Alerts
Daily, weekly, biweekly, or monthly cadences. Inbox lights up the moment your score moves. Set it once and never wonder again.
To-Dos & Action Items
Convert any recommendation into a tracked to-do with priority and status. The fix becomes a ticket you can actually close.
White-Label PDF Reports
Your logo, your color, your company name on every PDF. Deliver client-ready audits without an external design pass.
Public Share Links
Tokenized read-only URL for any report. No login, no signup wall — just send the link. Revoke instantly if needed.
Projects (Multi-Brand)
Isolated dashboards, history, and benchmarks per client or brand. One console, many books of business — no cross-contamination.
Find your vantage point.
Every tier runs real web-grounded scans and shows the full source list. Higher tiers add ChatGPT coverage, more prompts per scan, and the workflow tools to act on what you find.
See where you stand.
- ✓6 web-grounded prompts per scan across Claude + Gemini
- ✓Up to 5 scans per day
- ✓4 sub-scores + history chart
- ✓Markdown report and PDF export
- ✓3–5 recommendations per scan
- ✓Upgrade to add ChatGPT coverage
Monitor what changes.
- ✓Everything in Starter
- ✓9 prompts per scan across Claude, Gemini, and ChatGPT
- ✓3 pinned competitors with side-by-side comparison
- ✓Scheduled re-scans, email alerts, to-dos, share links
One console, every brand.
- ✓Everything in Pro
- ✓12 prompts per scan across all three providers
- ✓White-label PDF reports
- ✓Projects: isolated dashboards per client
- ✓5 pinned competitors, 5 active schedules
- ✓Priority support
Cancel anytime. Upgrade or downgrade between tiers from your Settings page — Stripe handles proration so you only pay the difference.
The shift is already happening. AI isn't just answering questions — it's shaping first impressions. You can ignore that, or you can measure it.