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Search Engine Land engagement report

@sengineland - 452K followers on X

Measured over 68 original posts from a 30-day window, last computed on September 23, 2026.

Engagement

Bottom quarter for its size
Per follower
0.004%
of 452K followers
Per impression
0.488%
3.7K views on a typical post
Reach
0.81%
of its followers see a post
Typical post
18
interactions (median)
Saved
0.163%
6 bookmarks on a typical post
Posting rate
3.33/day
active 90% of days
Peak time
00:00 UTC
Tuesday

A typical post picks up 18 interactions against 452K followers, an engagement rate of 0.004%. Measured over 68 original posts, its engagement rate beats 23% of 20,444 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 3.7K times each, and 0.488% of those impressions turn into an interaction. That is about 0.815% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 00:00 UTC, and Tuesday is the busiest day of the week. Of the 68 posts sampled, 88% carry an image or video and 76% link out. The account's strongest tracked post pulled 193 interactions, about 11x its own typical post. Recurring topics include #seo, #ai, #geo.

Measured over 68 original posts from a 30-day window, last computed on September 23, 2026. Recurring tags: #seo, #ai, #geo.

Compared with accounts its own size

Search Engine Land's engagement rate beats 23% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 30% 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 0.004%, Search Engine Land sits above the 10th percentile of the 205,048 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,048 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 00:00 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 00:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 00:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video88% of posts+111%+108% to +115%34K
Outbound link76% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 88% 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.
  • 76% 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 233 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Oct 2, 202511x their median

    The SEO world can be noisy. Every new LLM feature, SERP shift, or Google comment sparks a frenzy. But here’s the truth: What works in #SEO hasn’t changed. The real operators stay calm, and focus on fundamentals. Let’s bust some myths in this thread 🧵👇

    1343222529K viewsView on X
  • Sep 5, 20264.3x their median

    ChatGPT traffic jumped 48% in the U.S. while Bing fell 50%. The bigger #SEO problem: GA4 is getting worse at telling you where visits came from. Winners, losers and measurement gap here: https://t.co/KkoavTaBGH https://t.co/7lnsi2k2nM

    56126313K viewsView on X
  • Sep 3, 20263.1x their median

    If #GA4 says you got zero traffic on Sept. 1, don't panic. This appears to be a widespread reporting bug, not an actual traffic collapse. Google hasn't confirmed it yet. What we know so far: https://t.co/bqMAQJ1qaq https://t.co/03YhicI8EI

    3613526.5K viewsView on X
  • Aug 29, 20262.5x their median

    Link volume isn't the goal in 2027. Earned authority is. The winners will build journalist relationships, original stories and contextual mentions, not spammy outreach. Read all 13 wins and fails here: https://t.co/ShCedYciA4 https://t.co/4QHqP8rFN6

    2911506.0K viewsView on X
  • Aug 22, 20262.5x their median

    AI citations aren't won with one tactic. They compound across 3 phases: technical accessibility, fresh owned content and third-party authority. Here's how to build the system: https://t.co/IOesFa4Rmu https://t.co/FsoNWF0sLo

    2912134.4K viewsView on X
  • Sep 14, 20262.4x their median

    Content marketing hit a 12-year performance low. AI use reached 92.4%, but showed no relationship with stronger results. The bigger issue: proven tactics are being used less. Check the findings here: https://t.co/ItC5iJikFG https://t.co/asDakD9LLL

    297625.0K viewsView on X
  • Sep 7, 20262.4x their median

    AI crawlers don't always see your site the way Googlebot does. If key content loads through JavaScript, it may be invisible. Here's how to make your site easier for #AI crawlers to access, understand, and cite: https://t.co/MDxeK6JFhl https://t.co/FvjRNF91Dr

    339025.3K viewsView on X
  • Aug 17, 20262.3x their median

    When you inherit a site with years of #SEO decisions baked in, what's the very first thing you look at?

    29210113K viewsView on X
  • Sep 7, 20262.3x their median

    ChatGPT, Claude and Perplexity don't cite sources the same way. Some lean on Wikipedia; others cite Reddit, reviews, listicles, social posts and niche publications. The new data shows what brands need to do to earn both #AI mentions and direct citations: https://t.co/ulfYZO7v6b https://t.co/WnDxZA6MkX

    308304.4K viewsView on X
  • Sep 16, 20262.2x their median

    SEO strategy that stops at the first #query can miss the rest of the decision journey. Conversational search lets users clarify, compare, validate + act without rebuilding context. So you have to optimize for the next useful question, not just the first keyword. Here's how 🧵 https://t.co/pBoCNqoSdv

    267704.8K viewsView on X

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

#seo#ai#geo#chatgpt#ga4

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 18 interactions against 452K followers, an engagement rate of 0.004%. Measured over 68 original posts, its engagement rate beats 23% of 20,444 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 3.7K times each, and 0.488% of those impressions turn into an interaction. That is about 0.815% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 00:00 UTC, and Tuesday is the busiest day of the week. Of the 68 posts sampled, 88% carry an image or video and 76% link out. The account's strongest tracked post pulled 193 interactions, about 11x its own typical post. Recurring topics include #seo, #ai, #geo.

What is Search Engine Land's engagement rate on X?
Search Engine Land (@sengineland) has an engagement rate of 0.004%, based on the median interactions across 68 original posts from the last 30 days against 452,402 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, Search Engine Land sits above the 10th percentile of the 205,048 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 @sengineland have real engagement?
Its engagement rate beats 23% of the tracked X accounts closest to it in follower count (20,444 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 @sengineland post?
Most posts go out around 00:00 UTC, and Tuesday is its busiest day, at roughly 3.33 posts per day across the measured window.

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