Free tool · Answer engine optimization
AI Visibility Gap Analyzer
To find your AI visibility gap, ask a real answer engine the questions your buyers ask and count how often it names you against how often it names the competitor you lose to. Enter both brands and up to five buyer questions below to see who was named, who was named first, and the unedited answers.
Free, no account required.
What our own gap looked like on 4 September 2026
From our Answer Radar run for linkeddit.com, 21 prompts on four engines. The full version of this tool is that run, repeated on a schedule.
Named, per engine
Linkeddit was named in 2 of 10 admissible Claude answers, 3 of 15 on Gemini, 0 of 7 on ChatGPT and 2 of 3 on Perplexity.
Recommended
Once, on Gemini. Every other engine named a competitor or nobody on the prompts where we were absent.
Who led instead
Semrush led share of voice on three of four engines; Crayon led competitive intelligence vendors on ChatGPT at 8.1 percent and was named first in every Claude answer that named it.
The gap list
Nine open recommendation gaps, ranked by intent. Rank one: competitor monitoring software for tracking pricing changes and product launches.
The measured baseline and the exact tool call are on the founders page; the method behind every number is on the methodology page.
How to run an AI visibility gap analysis
Step 1
Enter your brand, one competitor and your category
The competitor should be the one you lose deals to. The category is only used to propose prompts; type it the way a buyer would, for example competitive intelligence tool, not your product's tagline.
Step 2
Propose five prompts, then edit them
The proposals are unbranded buying questions built from your category. Replace any that your buyers would not ask. Questions that name your brand test recall, not recommendation, so leave them out.
Step 3
Run it and read the per-prompt outcomes
Each prompt is one engine call with no system prompt. The outcome says who was named and who came first. Open the answer to see how the engine framed the category and which other products it reached for.
Step 4
Treat it as a baseline, not a verdict
One engine, one run, five prompts. If the competitor is named and you are not, that is a real gap to investigate; the size of it needs a tracked prompt set across engines and time.
When you outgrow this tool
Answer Radar runs your full prompt set on four engines on a schedule and names which of your pages was supposed to answer each question.
This tool is free and complete on its own, with no account and no limits worth mentioning. Linkeddit is what you use when the job stops being a one-off and starts needing to run every week without you.
FAQ
AI Visibility Gap Analyzer questions
What one engine and five prompts can tell you, what they cannot, and what to do with a gap.
What is an AI visibility gap?
The difference between how often an answer engine names you and how often it names a competitor on the questions your buyers ask. This tool measures the simplest version: on up to five prompts, on one engine, who was named and who was named first.
Which engine does it use?
Google Gemini, with no system prompt steering the answer, the same way the AI visibility checker works. Other engines disagree: on our own measured run, ChatGPT handed the answer to a competitor more often than any other engine. A gap on one engine is a reason to measure the others.
Why five prompts and one competitor?
Because that is the smallest test that produces a pattern rather than an anecdote, and because every prompt is a model call that costs real money with no signup to meter it against. Runs are limited to three a day per visitor with an overall daily cap, and identical runs are cached for a day.
Does named first mean recommended?
No. It means your brand appeared earlier in the answer text than the competitor's. Being named first in a list is usually better than last, but an engine can name you first and recommend the competitor in the next sentence. Read the answer. Answer Radar's recommendation rate is a judged measure of the same thing.
The competitor was named on all five and I was on none. Now what?
Look at what the answers leaned on: comparison articles, review-site category pages, forum threads. Being present and accurately described in those sources is the highest-leverage move. Then find which of your own pages was supposed to answer each question, which is what Answer Radar's content gap view does with the requirements the engines agreed on.
Why not measure sentiment?
Because one run of five prompts cannot support it. Presence and order are observable in the text; sentiment is a judgement that needs a versioned classifier and enough samples to be stable. Answer Radar reports a judged sentiment mix per engine on a full run and says what it is.
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