Semrush engagement report
@semrush - 314K followers on X
Measured over 56 original posts from a 30-day window, last computed on October 15, 2026.
Engagement
A typical post picks up 22 interactions against 314K followers, an engagement rate of 0.007%. Measured over 56 original posts, its engagement rate beats 20% of 20,183 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.4K times each, and 0.93% of those impressions turn into an interaction. That is about 0.769% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 56 posts sampled, 79% carry an image or video and 66% link out. The account's strongest tracked post pulled 204 interactions, about 9.3x its own typical post. Recurring topics include #spotlightconf, #marketing, #marketinghumor.
Measured over 56 original posts from a 30-day window, last computed on October 15, 2026. Recurring tags: #spotlightconf, #marketing, #marketinghumor.
Compared with accounts its own size
Semrush's engagement rate beats 20% of the tracked X accounts closest to it in follower count (20,183 accounts, accounts of similar size (decile 9 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 41% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.007%, Semrush sits above the 10th percentile of the 202,076 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.142% |
| 75th percentile | 0.672% |
| 90th percentile | 2.54% |
| 99th percentile | 82.5% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 13:00 UTC, and Tuesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 79% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 66% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 79% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 66% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 331 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Sep 1, 20269.3x their median
Google is introducing a new Search Console feature that lets you measure how your content on Instagram, TikTok, X, and YouTube performs in Google Search. For years, social performance and search performance have lived in separate reporting worlds. That's starting to change! Instead of only seeing traffic to your website, you'll also get visibility into how people discover your social content through Google. Why does this matter? Until now, there was no native way to measure how your brand's social content performed in Google Search or Discover. Now, Google is giving marketers first-party data on content they don't actually own. That means you can see which social content earns impressions and clicks in Search 👇
- Aug 25, 20268.5x their median
Schema markup gives search engines and AI systems more context about your content. By defining entities, relationships, and key information on your pages, structured data helps machines understand what your website contains. From products and reviews to articles and events, schema can make your content easier to interpret across modern search experiences. Here's how to implement it: https://t.co/L92MfCcMyR.
- Oct 9, 20267.5x their median
Google drew a clear line around AI search optimization: it’s SEO. Earlier this year, Google published its official guide, “Optimizing your website for generative AI features on Google Search.” John Mueller announced the release on the Google Search Central Blog, and Google added a new “Generative AI fundamentals” section to Search Central documentation. The biggest takeaway: if your content doesn’t meet the quality and technical standards needed to rank in traditional search, it won’t win visibility in AI-generated answers either. Google also shut down several popular GEO tactics. According to the guide, SEOs can ignore llms.txt files, AI-only rewrites, content “chunking,” and special Markdown or schema implementations built solely for generative AI visibility. The broader message is even bigger: Google frames AEO and GEO as extensions of SEO – not separate disciplines with separate playbooks. AI visibility runs on the same foundations: strong technical SEO, authoritative content, and clear site structure. Learn more: https://t.co/1SyrfNDiU1.
- Sep 9, 20267.5x their median
Google drew a clear line around AI search optimization: it’s SEO. On May 15, 2026, Google published its official guide, “Optimizing your website for generative AI features on Google Search.” John Mueller announced the release on the Google Search Central Blog, and Google added a new “Generative AI fundamentals” section to Search Central documentation. The biggest takeaway: if your content doesn’t meet the quality and technical standards needed to rank in traditional search, it won’t win visibility in AI-generated answers either. Google also shut down several popular GEO tactics. According to the guide, SEOs can ignore llms.txt files, AI-only rewrites, content “chunking,” and special Markdown or schema implementations built solely for generative AI visibility. The broader message is even bigger: Google frames AEO and GEO as extensions of SEO – not separate disciplines with separate playbooks. AI visibility runs on the same foundations: strong technical SEO, authoritative content, and clear site structure. Learn more: https://t.co/8owDPn4vww.
- Sep 1, 20266.5x their median
🚨Google is rolling out https://t.co/Avf3ERBHRP redirects. Here’s what marketers need to know 👇 What happened? Instead of linking directly to websites, Google is rolling out /goto redirects, adding a redirect hop to https://t.co/ELOFaAuZuV Why? To protect their data. This makes it harder for 3rd party tools, services, scrapers, and AI engines collecting SERP data at scale. The good news: Semrush has not been affected. Our team was aware of the change & addressed it quickly, so there’s been no impact on rank tracking, reporting, or data accuracy. Read more here: https://t.co/Cmfw8qCq9u
- Sep 14, 20266.4x their median
A strong internal linking strategy helps search engines understand your site, distribute authority, and identify which pages matter most, while weak linking can leave pages orphaned, buried deep in your site, or stuck in redirect chains. Build your strategy by connecting related pages with relevant contextual links, while using navigation, breadcrumbs, and other structural links to reinforce your site hierarchy. Here's how to do it right: https://t.co/LOpiNbZaz7.
- Aug 26, 20265.7x their median
If you’re trying to earn visibility in AI-generated search results, here’s where to start: our 6-month playbook template 👇 https://t.co/kmHnVzNKQd. https://t.co/Z4F99jihsz
- Oct 14, 20265.6x their median
SEO is no longer just about ranking in Google. In 2026, it also means being visible in AI-driven search surfaces like Google’s AI Overviews and ChatGPT. This SEO checklist covers tasks that can help you gain visibility no matter where your audience is searching 👇 https://t.co/HlNJ8AwgGe.
- Sep 15, 20265.5x their median
Google has introduced Open Knowledge Format (OKF), a new open specification designed to standardize the way content is packaged and shared with AI agents. The signal is bigger than the spec itself. As AI systems move from finding information to using it, visibility depends on more than publishing content. It depends on how knowledge is organized, structured, and understood. For marketers, that raises the stakes: • Structured information matters. • Machine-readable knowledge matters. • Information architecture matters. The brands that organize their knowledge best could become the brands AI systems retrieve, cite, and trust first. https://t.co/B3j3Lj6VJ0.
- Aug 27, 20265.4x their median
Your friendly reminder that you need to be visible in AI-driven search surfaces like Google’s AI Overviews and ChatGPT 💭 This checklist covers tasks that can help you gain visibility, no matter where your audience is searching! (If you have limited time or resources, focus on the most relevant tasks. Then, return to this guide whenever you’re ready to move on) ⬇️ https://t.co/3aTUD2ewZe.
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 22 interactions against 314K followers, an engagement rate of 0.007%. Measured over 56 original posts, its engagement rate beats 20% of 20,183 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.4K times each, and 0.93% of those impressions turn into an interaction. That is about 0.769% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 56 posts sampled, 79% carry an image or video and 66% link out. The account's strongest tracked post pulled 204 interactions, about 9.3x its own typical post. Recurring topics include #spotlightconf, #marketing, #marketinghumor.
- What is Semrush's engagement rate on X?
- Semrush (@semrush) has an engagement rate of 0.007%, based on the median interactions across 56 original posts from the last 30 days against 314,303 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.007%, Semrush sits above the 10th percentile of the 202,076 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @semrush have real engagement?
- Its engagement rate beats 20% of the tracked X accounts closest to it in follower count (20,183 accounts), which puts it in the bottom quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @semrush post?
- Most posts go out around 13:00 UTC, and Tuesday is its busiest day, at roughly 1.87 posts per day across the measured window.