Get Cited. Get Seen. Get Represented Correctly.
Cited & Seen helps mission-driven organizations improve how AI systems understand, cite, and represent their work.
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Search has changed. People are no longer just typing keywords into Google. They’re asking ChatGPT, Perplexity, Google AI Overviews, and other AI tools who to trust, where to donate, which organizations lead on an issue, and what resources to use.
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That means your content has to do more than rank. It has to be clear enough for AI systems to interpret correctly, credible enough to be selected, and structured enough to be cited.
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Cited & Seen provides AI Search Visibility Audits, strategy, and education for associations, nonprofits, publishers, and research-based organizations that can’t afford to be overlooked, flattened, or misrepresented in AI-generated answers.
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Because being found is no longer enough. You need to be understood correctly.
What better AI representation changes...
How Cited & Seen is Different
Most tools show whether AI can find you.
We show whether AI is getting you right.
The AI Search Visibility Audit
Best for: Mission-driven organizations that need a baseline, a diagnosis, and a focused roadmap
A one-time strategic diagnostic showing how major AI systems describe, cite, and substitute your organization, where the biggest representation risks live, and what your team should do next.
Not ready for the full audit?
Start with the AI Representation Snapshot
A lighter, faster review for organizations that want to see how AI is currently describing them before committing to a full diagnostic.
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Single-platform review showing how one major AI system represents your organization
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Top 3 visible risks to trust, clarity, and discovery
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Short Video walkthrough and one recommended next step
Best for teams that want proof of the problem before a deeper investment.
Case Studies
Why Does This Matter Across your Organization?
For marketing & communications leaders
This is not just about being found. It is about whether AI understands your organization well enough to describe it accurately. That affects credibility, discoverability, and message control.
For membership and program teams
AI answers increasingly shape where people join, attend, participate, and seek help. If those answers are vague or wrong, your best programs become harder to choose.
For executives and leaders
AI is becoming a public interpretation layer between your organization and the people you serve. You need a grounded way to assess that risk, explain it internally, and respond without hype.