Prefer is an AI search visibility platform. It measures how ChatGPT, Gemini, Google AI Overviews, Google AI Mode and Perplexity describe your brand, benchmarks your share of those answers against named competitors, shows which sources each model trusted, and then writes the content and recommends the fixes that win the citation, with the off-page work done for you on Prefer Managed and Enterprise. It is made by Kocoa Technologies Private Limited, founded in 2025 and based in Mumbai, India, at tryprefer.com.
That is the short version. Here is why we built it.
The list became an answer#
For twenty years the job was a ranked list. You earned a position, someone scanned ten results, and enough of them clicked. Every tool, every playbook and every team structure in marketing assumes that shape.
Buyers now ask an assistant instead, and the assistant answers. One answer, a handful of brands named inside it, a few sources cited underneath. There is no position two. You are either in the sentence or you are not, and if you are not, the person never learns you exist.
This is not a smaller version of the old problem. It behaves differently in a way that matters:
- The engines do not agree with each other. In our study of 47 buyer questions across four engines, only 5 of 713 cited domains were shared by all four. Winning on ChatGPT tells you almost nothing about what Gemini says.
- Most of what gets cited is not yours. Review grids, roundups, documentation and forum threads carry more weight than your homepage. In our own measurement, half of everything ChatGPT cited in our category was a vendor’s own page and 29% was documentation.
- One publication can reach a quarter of a category. In that same run, one tech-press site was cited in 12 of the 46 live-search answers that listed sources, across five of its pages. Earned placements compound in a way ad spend does not.
What Prefer actually does#
Three layers, and they are meant to be one loop rather than three products.
Audit. A one-time diagnostic that sets a baseline: where AI engines name and cite you today, which competitors appear beside you, which sources the models trusted to get there. It ends in measurable targets rather than a score, because a number with no target is just a chart. The audit is free and needs no card.
Monitor. Your prompt set, with citations and share of voice tracked against named competitors, and your Search Console and Analytics data sitting alongside it. One tracked prompt is one prompt in one country. Engines never multiply that count; countries do.
Act. The part most tools leave out. Prefer drafts the content an engine can quote and recommends the schema and entity fixes for your own pages. On Prefer Managed and Enterprise it also works the off-page surfaces that actually get cited: review-site records, roundups, digital PR, community participation. Authentic at scale, not automated, because automated versions of this work get discounted by the engines and by readers.
What winning actually looks like#
The measurable outcome is narrow and worth stating plainly: the same buyer question, asked again later, now names you.
![The same question, 'what is the best [category] tool?', answered twice. Before the AEO work: the assistant recommends Competitor A (cited from G2) and Competitor B (praised on Reddit), and your brand is not mentioned. After the work: the assistant names Competitor A, Competitor B and your brand, now cited from a comparison guide.](/figures/wip-absent-to-cited.png)
Notice where the change comes from. It is rarely a tweak to your own landing page. It is a comparison guide that did not exist, a review profile that was empty, a thread where your category was discussed and you were not. Those are the inputs a model reads, so those are the things Prefer works on.
Who it is for, and who it is not#
It fits mid-market B2B brands and in-house marketing teams who can see AI traffic arriving and cannot yet explain or influence it. It also fits agencies reporting on visibility for clients, which is why there is a separate agency track.
It is a poor fit in two cases, and both are worth saying out loud. If you only want a dashboard and you have a team with hours to act on it, a cheaper monitor will serve you better and several exist. And if you want a guaranteed number one spot in ChatGPT, no honest vendor can sell you that, because nobody controls what a model says.
What it costs#
Plans start at $24 a month with a 7-day free trial and no card required, and every plan includes all five engines plus drafted articles. There is no free-forever tier and no overage billing: at a plan limit the action is blocked with an upgrade prompt rather than a surprise invoice. Prefer Managed is the done-for-you option, with a written guarantee of measurable AI-citation lift within 90 days. Full details are on the pricing page, and we publish a verified pricing index of eleven tools in this category including our own, with a checked date on every figure.
Who built it#
Two founders, Javed Khatri and Mandar Sawant, who spent roughly a decade being found through search before anyone knew their names. That is the whole reason this exists: the mechanism that made small companies discoverable is being replaced, and the replacement is quieter and harder to see into. We would rather build the instrument than be on the wrong side of it.
We publish our own numbers, including the unflattering ones, and we run the same loop on our own brand that we sell. When our measurement shows we are absent from a question, we say so.
Why the name#
Because the goal is to be the brand a model prefers when someone asks for a recommendation.
The company was called Visibly until August 2026 and renamed after running into entity collisions with other companies using that name, which is an ironic problem for a company that sells entity clarity. Prefer is a common English word, so for the avoidance of doubt: this Prefer is an AI search visibility platform at tryprefer.com, operated by Kocoa Technologies Private Limited of Mumbai, India. The product lives at app.tryprefer.com.
If you want to see where you actually stand, the free AI visibility audit takes about ten minutes and needs no card. It will tell you which of your buyers’ questions you already win, and which ones name someone else.
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