Make sure AI represents your brand correctly to buyers.
Your next-quarter pipeline now passes through ChatGPT, Claude, Gemini, and Perplexity before it ever hits your site. We tell you what they're saying — and where they're getting it wrong.
What you're worried about.
Four conversations that keep happening in your 1:1s, your board prep, and the back of your head at 11pm.
The AI is getting our positioning wrong.
You spent two quarters on a category narrative. ChatGPT describes you with the old positioning — or worse, with a competitor's.
The exact wording each model uses for your category, your differentiators, and your "what they do" sentence. Side by side. Color-coded by agreement.
Our competitors are getting credit for our work.
Perplexity cites a competitor's blog when asked about a category we invented. Gemini hallucinates a feature parity that doesn't exist.
Every claim about you, paired with the source the model used. When a model attributes your work to someone else, we surface the citation gap and the correction.
"Are we showing up in AI?" — and I have no answer.
Your CEO read the McKinsey piece. The board wants a number. You have a feeling. You don't have a chart.
A single AI Readiness Score, trending monthly. Plus a one-page exec PDF you can drop into the next QBR without editing it.
I don't even know which questions to check.
It's not just "what is [company] known for." It's "alternatives to," "is [company] safe to use," "who funded," "comparable to." Dozens.
50–80 buyer-intent questions per scan, generated dynamically from your category. Every question. Every model. Every answer. Every drift.
The Monday morning ritual.
Persona: Maya Okafor, VP Marketing at a Series B vertical SaaS company. 11 person team. Reports to a CEO who reads Stratechery.
On Sunday night, misquoted ran its weekly scan. By Monday at 9:02am, Maya's inbox has the one thing she actually wants to see: a 4-line summary of what changed.
This week, the score dipped four points. Not catastrophic — but enough to open the report. The culprit: GPT-5 quietly shipped over the weekend, and the new model now describes her category using a competitor's framing. The disagreement matrix lights up red on three questions about "who is this for."
09:14 · Maya opens the correction playbookThe playbook ranks the fix by impact. Top of the list: a missing JSON-LD block on the homepage that would clarify the ICP. A copy-paste snippet is already generated. She forwards it to her web lead with two sentences.
11:30 · Standup with the CEOShe drops the executive PDF into the calendar invite. The CEO opens it on his phone before the meeting starts. The score is on page one. The plan is on page two. He says "good — keep me posted on the GPT-5 thing." That's the whole conversation.
The point isn't the scan. The point is the four lines on Monday morning, and the page-one PDF that ends the conversation before it starts.
The board stopped asking whether we show up in AI. They started asking how far ahead.
Where to start.
Most marketing leaders start with a one-time accuracy report, then move to monthly monitoring once they've fixed the worst of it.
Full Accuracy Report
The complete diagnostic. Fact-backed accuracy scoring, source verification on every claim, and a correction playbook with prioritized actions.
- 50–80 buyer-intent questions, 3 models
- Fact-checked against your own site
- Prioritized correction playbook
- PDF + shareable preview card
Monitor Standard
The Monday morning ritual. Monthly automated re-scans, email alerts on drift, trend dashboard, executive PDF every cycle.
- Monthly full re-scan, all models
- Alerts on score delta or claim flip
- Trend dashboard, accuracy over time
- Monthly exec summary PDF
- AI Readiness Certification Badge
The fastest answer to "are we showing up in AI?"
Run a free scan. Ninety seconds. We'll show you the AI Readiness Score, the worst finding, and a preview of the consensus matrix.