Publish a fair Ledgerly vs Ramp comparison hub
Ramp is cited on 6 comparison prompts you are absent from
Product · Measure
Competition tracks every rival in your category across ChatGPT, Google AI Overviews and Perplexity. Who wins each buying question, who owns the sources behind it, and exactly which gaps you can close first.
The scoreboard
Every module below is one of these, cut a different way: by question, by engine, by source, by rival.
Where you sit among 12 tracked brands in expense management.
Up from #6 in eight weeksShare of AI answers that cite you as a source. Ramp leads at 44%.
13 points behind the leaderBuying questions where a rival is recommended and you are not.
Of 96 tracked questionsHigh-demand questions no competitor owns yet.
Nobody is cited on theseLive demo data: Ledgerly against 12 expense management brands, June 10 to 16.
Standings · Module 01
AI names 58% of answers with your brand, but only cites you in 31%. That gap is where deals leak. The standings board tracks both for every rival, daily.
Mentioned and cited share across all AI answers in expense management.
A mention is a name in a sentence. A citation is a link the assistant stands behind, and it is what sends a buyer to your site. Every brand below is ranked by the second one.
Category rank over eight weeks, from #6 to #3.
Weekly position among 12 tracked brands.
Three places gained since April, entirely from citation share.
Visibility by buying stage. You hold your own early, then fall away exactly where the decision gets made.
You against the category leader at each stage.
Decision questions are comparison questions. That single 32-point gap is the biggest one on this page.
Gap analysis · Module 02
Competition scores each buying question by how far behind you are, how often it is asked, how close it sits to a decision, and how hard the fix is. The top of the list is always the cheapest win.
A rival is recommended, you are not.
Four inputs, measured on your own data. No alphabet, no gut feel.
Scores move as the data does. A question rises when a rival gains on it, and drops the moment you close the gap.
The citation gap between you and the brand that owns the question today.
Query volume across your tracked prompts and their fanouts.
Decision-stage questions outrank awareness questions.
Publishing a page is days. Earning a mention is weeks. Easy lifts the score.
Head to head · Module 03
One matrix, every metric that decides an AI answer: how often each brand is named, cited, framed positively, and how much of the buying journey it covers.
Ledgerly against the three brands AI names most.
Ramp leads on every axis but one. You are closing on tone and citation share, and losing hardest on decision-stage coverage.
Engine split · Module 04
The same category, four assistants, four different winners. Split by engine and the picture changes: you already lead Perplexity, and lose ChatGPT badly.
The same category, four assistants, four different winners.
53% citation share, ahead of Ramp. Your docs and comparison pages suit its source-first answers.
19% against Ramp's 57%. ChatGPT leans on editorial roundups you are absent from.
24% against Expensify's 31%. Review-site placements decide this one.
Every metric on this page splits per engine, so a weak platform becomes a specific fix instead of a mystery.
Source battleground · Module 05
Assistants assemble answers from a small set of trusted domains. Competition maps that set, shows which rivals appear on each, and flags the ones citing everyone except you.
Ranked by how often AI retrieves them for your category.
Rival moves · Module 06
Competition watches the category and posts what changed: questions won and lost, new entrants, rivals gaining on a topic. Each item links to the answer that changed.
Category movements since your last check.
Alerts go to email or Slack. Anything worth acting on becomes a scored action instead of a notification you forget.
From gap to move
Every question you lose becomes a scored action in Action Center, with the rival's evidence attached, the asset already drafted, and the prompts re-run until you win them back.
Ramp is cited on 6 comparison prompts you are absent from
g2.com cites all four rivals and never you
No brand owns this question yet, and demand is rising
“We knew Ramp was beating us. We did not know it came down to nine questions and one review site. Once it was a list, it was a quarter of work instead of a strategy debate.”
Questions
Prefer's AI competitor analysis. It measures your share of voice and citation share against every rival in your category, question by question, and turns the gaps into a ranked list of fixes.
Prefer finds them. It reads the brands AI actually names in answers to your tracked prompts, so the list includes rivals you know and ones you do not.
Rank tracking counts positions on a page of links. AI answers name two or three brands and cite a handful of sources. Competition measures who gets named, who gets cited, and which sources decided it.
Every buying question where a rival is recommended and you are not, scored by how far behind you are, how often it is asked, how close it is to a decision, and how hard the fix is.
Yes. Open any question to read the real answer from each engine, the sources it cited, and the reason that brand was picked.
Close the source gap and the content gap. Get onto the review sites and roundups AI already quotes, and publish the comparison and integration pages it cannot find. Competition ranks both by expected impact.
Your slice of every brand mention across AI answers in your category. It tells you how loud you are. Citation share tells you how trusted you are, and the two rarely match.
See how answer engines describe your brand today, and where the openings are to outpace the competition.