AnswerRank measures whether ChatGPT, Perplexity, and Google's AI recommend your brand, shows who they pick instead, and hands you the exact work that changes it. Here is each piece, in depth.
You cannot win answers to questions you have never seen. Buyers ask AI short, blunt things: best option for a small team, is it worth it, X vs Y. Those queries never show up in your keyword tool.
So teams write content for the questions they imagine, and the imagined list is always politer and longer than the real one. The gap between what you answer and what buyers ask is where rivals get recommended.
The Question Explorer maps the real question set for your category: two dozen realistic buyer questions grounded in live search data, grouped by question word or intent, each with the actual AI answer, the brands it named, and the sources it cited. Need more ground covered? One click explores a fresh batch.
Some questions in your category have real demand and no good answer from you. AI fills that hole with whoever wrote something, even something mediocre.
Every week the gap stays open, the answer hardens. AI engines keep citing the page that exists over the page you meant to write, and unseating an entrenched answer costs far more than winning an empty one.
Content Gaps ranks the missing pieces by demand and difficulty: the missed answers a rival currently owns, and the long-tail topics nobody owns yet. Each one carries a suggested format, and a Draft button writes the first version, an FAQ, a comparison page, or an article, in your niche, ready to edit.
Knowing you are invisible is a diagnosis, not a treatment. The obvious next question, what exactly do I do on Monday, is where most visibility reports quietly stop.
So the report gets filed, the quarter passes, and the numbers stay where they were. Effort without a ranked list turns into busywork: a blog post here, a directory listing there, none of it aimed at what actually moves AI answers.
The Fix Playbook turns your evidence into a ranked to-do list. Each fix names the concrete action, the visibility pillar it lifts, expected impact in points, and honest effort. Quick wins first, slow reputation work labeled as such. Tick items off as you ship; progress persists.
AI engines do not trust your website about your website. Before they recommend anyone they read third-party pages: rankings, reviews, comparison posts, directories. Those pages are the ballot box.
If the listicle AI cites for your category mentions six brands and yours is not one of them, you lose that answer every single time it is asked, and you will keep losing it until that page changes.
Citations shows the exact pages AI cited across your category's questions, rolled up by domain, sorted by how often they get cited, each flagged with whether you already appear there. It is a literal outreach list: get added to the pages the engines already trust.
A surprising share of AI answers lean on forum threads: Reddit, Quora, Stack Exchange, niche boards. One thorough reply in the right thread gets quoted into thousands of answers for years.
Finding those threads by hand means reading forums all day. Most brands never do it, so the threads that shape their category's answers are written entirely by strangers and competitors.
AnswerRank collects the threads AI actually cited for your questions, adds targeted discovery per platform, and ranks them by citation weight. You get a short list of real conversations where one genuine, helpful answer can move your visibility.
Every other view here reports on pages that already exist. Link Opportunities points at the ones nobody has written: a journalist filing on Thursday who needs an expert quote, a podcast booking guests for next month.
These requests are public and they expire in days. The problem was never finding a feed, it is that a feed of three hundred requests aimed at everyone is worth less than three aimed at you, and sorting them is an hour nobody has.
So AnswerRank scores every live request against what your brand actually knows, keeps only the strong fits, and tells you the angle to take. Answer one and you are quoted on a page that ranks from the day it publishes, with a link no competitor can ask to be added to later.
You shipped the fixes. Did anything move? With AI answers there is no rank checker to refresh, so most teams simply cannot tell whether last month's work bought anything.
What gets measured gets budget. If you cannot show Answer Share climbing, AI visibility work loses its slot on the roadmap to whatever produces a chart, even when the invisible work was winning.
Tracking keeps every completed analysis on a timeline: Answer Share, AnswerRank Score, and the questions you appear in, plotted run over run. Re-analyze after each push and the chart tells the story for you.
Your visibility data lives in a dashboard. Your work happens in Claude, ChatGPT, Cursor, wherever you already spend the day. Switching tabs to check a number is exactly the kind of friction that means the number never gets checked.
Data nobody opens might as well not exist. The team that can ask, "which questions did we lose this month?" mid-conversation acts on the answer. The team that has to remember a login does not.
AnswerRank ships a remote MCP server. Connect it to Claude, ChatGPT, or any MCP client once, then ask in plain language: what is our answer share, who beat us on comparison questions, what should we fix first. Your assistant reads your real data and answers.
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