Lost answers: the answers you lose, verbatim
Most tools tell you a visibility percentage. Lost answers shows you the actual answers behind it: every buyer question where an AI engine recommended someone else, the full verbatim answer it gave, which rival won it, which page got cited, and the specific sentence missing from yours.
How it works
Every lost question, ranked by leverage
Questions where you were never named are ranked by how winnable they are: how close the winning answer is to what your page already says.
The verbatim answer, not a summary
You read exactly what the engine told your buyer, with the winning brand and the cited source marked. No paraphrase, no score standing in for the evidence.
The missing sentence
For each loss, a judge model compares the winning answer against your own page and drafts the one claim that would have put you in it. You edit, you publish, next scan measures whether it worked.
In depth
Losses are diagnosed, not just counted
Each lost question gets its own diagnosis: why the rival won (a clearer claim, a cited roundup you're absent from, a pricing sentence you never wrote), grounded in the actual answer text, not a generic checklist.
Ranked by what's winnable
A question lost to a Wikipedia consensus is not the same as one lost to a thin listicle. Losses are ordered so the first thing you read is the one most worth an afternoon.
Connected to the fix
Every lost answer carries the missing sentence with a copy button, and links into the action plan, where the drafted artifact (the paragraph, the comparison article, the pitch) is a click away.
What we won't claim: that fixing the sentence guarantees the answer flips. Engines vary between runs: that's why every rate on this page carries a printed margin, and why we re-measure weekly instead of declaring victory once.
Common questions
What is an AI blind spot?+
A buyer question where AI assistants answer with competitors and never name you. CiteGraph finds them by asking the real questions in your category across four engines, several times each, and keeps the full answers where you were absent on its Lost answers screen.
How is this different from a visibility score?+
A score tells you that you're missing; a lost answer shows you the answer you're missing from, verbatim, with the winner and the cited source. You can act on an answer. You can only worry about a score.
How do you decide why a competitor won?+
A judge model reads the winning answer against your own page and states the gap in one sentence: a claim they make that you don't. It's a hypothesis grounded in the text, and the next scan tests it.
How many lost answers does a scan find?+
As many as exist: on a Starter scan of 10 questions, anywhere from zero to all ten. We ran CiteGraph on itself and found 10 of 10, and published it.
“This is what a useful audit tool should do: make the next move obvious”
Yusuke
FOUNDER OF LANDINGBOOST
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