About Cited

Cited (citedintel.com) is the evidence-first Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) platform. It audits how AI engines answer your buyers' real questions across intent and funnel stages, and proves why competitors get recommended with the verbatim answers behind every score. Then it prescribes the full fix: ready-to-publish content plus the citations, reviews and digital PR placements engines trust.

It serves brands of every kind, B2B software, D2C and consumer brands, and services businesses, from startups to enterprise, and the agencies that serve them.

Each audit asks the AI models your buyers' real questions, staged across buyer intent and funnel stages: who gets recommended, who gets ignored, and what the recommended companies have that you don't. Then it prescribes the fix on every surface that shapes an answer: on-site content drafted ready to publish, plus the third-party citations, review presence and digital PR placements engines pull from. Re-checks run on your cadence. Evidence first: every claim on your dashboard traces back to something a model actually said.

For twenty years, being found meant ranking on a search page. Your buyer typed a query, scanned ten blue links, clicked a few, and formed their own opinion. Your job was to be on that page and win the click.

That buyer is disappearing. The new buyer asks ChatGPT, Claude, or Gemini to do the evaluating for them: “best platform for a team like ours”, “compare the top three”, “what should we budget?” The model answers in one screen, names three or four vendors, and recommends one with total confidence. No results page. No second chance on page two. No click to win.

We call these zero-touch purchases: the buyer trusts the model's synthesis more than any vendor's website, arrives with the shortlist already formed, and never tells you the evaluation happened. If AI doesn't recommend you, you don't lose the deal. You never learn it existed.

It started with a change in Parth's own buying. The ten open tabs, the review sites, the pings to people who had already bought: over a year, all of it collapsed into one conversation with a model. He double-checked its recommendations at first. Then he stopped.

That is the conviction Cited is built on: if this is how we buy now, it is how your buyers buy too, and something is already deciding how AI describes the brand you spent years positioning. Run the check and you find descriptions nobody wrote, comparisons against the wrong rivals, shortlists you should be on but aren't. Nobody owned that surface. Cited exists to own it: see how AI positions you, understand why, and fix it.