X shows you a quote count on individual tweets, a small number sitting next to replies and retweets when you open one specific post. What it doesn't give you is any way to rank your entire tweet history by that number. Finding your most-quoted tweets the native way means opening each one of potentially thousands of posts and writing the number down yourself, which stops being realistic almost immediately.
It's worth being upfront about a real limitation here: Circleboom's ranked analytics table tracks Reposts as a combined metric, covering both plain retweets and quote tweets together, not an isolated "Quotes" column you can sort by directly. There's no single click that ranks your full history by quotes alone.
What Post Engagement Analytics does give you is a fast way to narrow thousands of tweets down to a short, manageable list of your most-amplified posts, the realistic shortlist to check for quotes specifically, instead of opening every tweet you've ever published one at a time.
→ find your most-reposted tweets
Why "most quoted" isn't a single sortable column
Reposts and Quotes are related but distinct actions on X. A repost shares your tweet exactly as it is, with no added commentary. A quote tweet wraps your tweet with someone else's commentary, published as their own new post with yours embedded underneath. Quote tweets carry their own visibility dynamics separate from plain reposts, which is exactly why conflating the two numbers can be misleading if you're specifically trying to measure how often people felt compelled to add their own take.
Circleboom's Post Engagement Analytics tracks Impressions, Engagements, Engagement rate, Likes, Reposts, Replies, Profile clicks, URL clicks, and Video views as sortable columns across your full accessible tweet history. Reposts in this table is the combined total, retweets and quote tweets together, not a quote-specific count.
That means the honest path to finding your most-quoted tweets is a two-step process: use the ranked Reposts column to identify your most-amplified tweets overall, then check the individual quote count for your top candidates directly on X, where each tweet's own stats bar shows that breakdown.
Retweet versus quote, and why the distinction is worth checking manually
A full breakdown of what each engagement metric actually represents makes clear that retweets and quotes signal different things, even though Circleboom's table currently reports them together.
- A retweet is pure amplification. Someone decided your tweet was worth sharing exactly as written, with nothing added.
- A quote tweet is amplification plus investment. Someone didn't just share it, they wrote their own commentary and attached your tweet to it, a higher-effort, more public action.
- The Reposts column reflects both combined. A high Reposts number could mean mostly plain retweets, mostly quotes, or a mix of both, and the table alone won't tell you which.
- Checking the split requires opening the individual tweet on X. Each tweet's own stats bar typically shows replies, reposts, quotes, and likes as separate numbers, giving you the exact quote count for that one specific post.
This two-layer approach, broad ranking first, manual verification second, is the realistic way to answer a question the analytics table wasn't built to answer in one step.
How to find your most-reposted tweets, then check which got quoted
Because Circleboom is an official X Enterprise Developer, tweet and engagement data is retrieved through sanctioned Enterprise API access across your full available tweet history.
1. Open Post Engagement Analytics: Navigate to the feature inside Post Analytics. The full table of your accessible tweet history loads with metrics for every tweet, including Reposts.
2. Sort by the Reposts column: Click the Reposts column header to sort descending, surfacing your most-amplified tweets across your accessible history in one ranked list.
3. Open your top candidates directly on X: Take the highest-ranked tweets from the sorted list and open each one on X. The stats bar under the tweet shows the exact quote count separate from plain reposts, the specific number this table doesn't isolate on its own.
4. Act on confirmed high-quote tweets from the same analytics view: Once you've identified which top-ranked tweets actually drove strong quote activity, use Reschedule, Auto Retweet, or Rewrite with AI directly from Post Engagement Analytics to give that content another distribution window.
That sequence turns an unrealistic full-history manual check into a short, targeted verification step on a handful of pre-filtered candidates.
What this shortlist-then-verify approach actually saves
Without the Reposts ranking, finding quoted tweets means opening every post in your history, the vast majority of which were never quoted at all, just to find the handful that were. Narrowing to the top of the Reposts ranking first means the manual verification step only touches the tweets with a real chance of having meaningful quote activity behind them.
It also surfaces something the Reposts number alone can't: which of your tweets are genuinely commentary-worthy, the kind that make people want to attach their own take rather than just pass it along silently. Quote tweets where the commentary actually carries weight tend to cluster around posts with a clear, debatable, or surprising claim, exactly the kind of pattern this shortlist process helps you find and learn from.
Tweets confirmed to have driven strong quote activity are also strong candidates for reuse or expansion, since a high quote count is a particularly strong signal that the idea resonated enough for people to want to comment on it publicly, not just pass it along.
X tracks granular data per post, not aggregated history
This is the same pattern that shows up across most of X's own analytics: the specific number exists, visible if you open the one tweet it belongs to, but nothing aggregates or ranks it across your account's full history. Quote count is no exception. X knows the number for every tweet; it just never builds the view that lets you compare all of them at once.
Closing that gap as far as the data allows, ranking by the closest available combined metric and verifying the specific number manually on a short list, is the realistic answer when the platform itself doesn't expose a more direct path.
The mistake to avoid
The most important mistake is assuming Reposts and Quotes are the same number in Circleboom's table. They aren't. Reposts is a combined total of plain retweets and quote tweets together, and treating a high Reposts ranking as proof a tweet was heavily quoted skips the verification step that actually confirms it.
The second mistake is treating the Reposts ranking as the final answer rather than the starting shortlist it actually is. The ranking narrows thousands of tweets down to a manageable handful worth checking individually; it doesn't replace that manual check entirely.
Common questions
Does Circleboom show an exact quote count separate from retweets?
Not currently in the ranked analytics table. Reposts is tracked as a combined metric covering both retweets and quote tweets. For the exact quote-specific number on a given tweet, check that tweet's own stats bar directly on X.
How do I check the actual quote count for a specific tweet?
Open the tweet directly on X. The stats bar beneath it typically shows replies, reposts, quotes, and likes as separate counts, giving you the exact quote number for that individual post.
What's the fastest realistic way to find my most-quoted tweets given this limitation?
Sort Post Engagement Analytics by Reposts to get your most-amplified tweets in one ranked list, then manually check the quote count on your top several candidates directly on X. This avoids checking your entire tweet history one post at a time.
Can I take action on a high-repost tweet directly from this view?
Yes. Once you've identified a strong performer, you can reschedule it, set it up for auto-retweet, or rewrite it with AI for a fresh angle, all from within Post Engagement Analytics without switching tools.
Your next move
Your most-quoted tweets are somewhere in your history, but finding them takes a shortlist first and a manual check second, not one single sort. Rank by Reposts, check your top candidates on X, and treat the confirmed winners as proof of what makes people want to add their own take. Rank it, verify it, reuse it.
