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Search Engine Land engagement report

@sengineland - 453K followers on X

Measured over 30 original posts from a 30-day window, last computed on August 29, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 453K followers
Per impression
0.441%
3.5K views on a typical post
Reach
0.78%
of its followers see a post
Typical post
16
interactions (median)
Saved
0.199%
7 bookmarks on a typical post
Posting rate
1.53/day
active 40% of days
Peak time
00:00 UTC
Tuesday

A typical post picks up 16 interactions against 453K followers, an engagement rate of 0.003%. Measured over 30 original posts, its engagement rate beats 18% of 3,882 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 3.5K times each, and 0.441% of those impressions turn into an interaction. That is about 0.776% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 00:00 UTC, and Tuesday is the busiest day of the week. Of the 30 posts sampled, 90% carry an image or video and 80% link out. The account's strongest tracked post pulled 183 interactions, about 11x its own typical post. Recurring topics include #seo, #chatgpt, #seos.

Measured over 30 original posts from a 30-day window, last computed on August 29, 2026. Recurring tags: #seo, #chatgpt, #seos.

Compared with accounts its own size

Search Engine Land's engagement rate beats 18% of the tracked X accounts closest to it in follower count (3,882 accounts, accounts of similar size (decile 7 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 31% 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 0.003%, Search Engine Land sits above the 10th percentile of the 37,582 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99158.1%
Engagement rate as a share of followers, across the 37,582 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,409 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile158.1%

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 6%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%52K
01:00 UTC-2%53K
02:00 UTC-3%51K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%62K
09:00 UTC-3%72K
10:00 UTC-2%74K
11:00 UTC-3%81K
12:00 UTC-2%89K
13:00 UTC-2%98K
14:00 UTC-4%101K
15:00 UTC-2%104K
16:00 UTC-3%102K
17:00 UTC-3%94K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%68K
22:00 UTC-2%59K
23:00 UTC-2%53K
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 5%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%237K
Monday0%300K
Tuesday-3%299K
Wednesday-1%256K
Thursday-1%249K
Friday-3%258K
Saturday+3%232K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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 hereโ€™s the truth: What works in #SEO hasnโ€™t changed. The real operators stay calm, and focus on fundamentals. Letโ€™s bust some myths in this thread ๐Ÿงต๐Ÿ‘‡

    1283119528K viewsView on X
  • Aug 22, 20262.8x 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
  • Aug 17, 20262.6x 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
  • Aug 22, 20262.3x their median

    Google Search Console can now show the queries driving traffic to your social content. That turns social posts into search-demand data for gaps, formats and creator briefs. Here's how: https://t.co/yacyNKKVaH https://t.co/1R0dUPbMBy

    266404.5K viewsView on X
  • Aug 25, 20261.9x their median

    Google rewrites meta descriptions more often than not. So when is writing one worth the time? Here's the #SEO, CTR and AI-search evidence: https://t.co/A3t11Tv5HQ https://t.co/dzkEiesNgK

    225314.2K viewsView on X
  • Aug 19, 20261.9x their median

    Google's August 2026 spam update is rolling out now. It applies globally, across all languages, and may take a few days to complete. What #SEOs need to know: https://t.co/hFB64oYLig https://t.co/MTAs5ahnCQ

    246104.3K viewsView on X
  • Aug 19, 20261.9x their median

    Technical #SEO for AI search comes down to one question: Can an AI system fetch your page, see the important information, understand what it means and connect it to the right brand entity? Audit these 4 layers ๐Ÿงต๐Ÿ‘‡ https://t.co/foibgsKF1M

    195335.2K viewsView on X
  • Aug 20, 20261.8x their median

    Reddit's share of #ChatGPT Search citations fell 86.4% in four days, from 3.83% to a 0.52% average, Promptwatch reports. The data shows when, not why ๐Ÿ‘€ See the breakdown: https://t.co/BpvvNrysoL https://t.co/dZ1kqiOkpY

    198025.8K viewsView on X
  • Aug 21, 20261.8x their median

    You can rank #1 and still miss the search. In 2027, #SEO means earning visibility across AI answers, zero-click #SERPs and the wider discovery ecosystem (not rankings alone). See what to prioritize here: https://t.co/Gb09etr1lG https://t.co/dz3443txz8

    189103.6K viewsView on X
  • Aug 18, 20261.8x their median

    ChatGPT isn't just competing with Google, it's getting traffic from Google Ads. In @iPullRank's dataset, #ChatGPT had the highest share of paid clicks among the leading destinations analyzed. Check the full analysis here: https://t.co/LwsGjXmpSC https://t.co/wGVS5wQFzp

    187304.1K 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#chatgpt#seos#ugc#crm

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 16 interactions against 453K followers, an engagement rate of 0.003%. Measured over 30 original posts, its engagement rate beats 18% of 3,882 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 3.5K times each, and 0.441% of those impressions turn into an interaction. That is about 0.776% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 00:00 UTC, and Tuesday is the busiest day of the week. Of the 30 posts sampled, 90% carry an image or video and 80% link out. The account's strongest tracked post pulled 183 interactions, about 11x its own typical post. Recurring topics include #seo, #chatgpt, #seos.

What is Search Engine Land's engagement rate on X?
Search Engine Land (@sengineland) has an engagement rate of 0.003%, based on the median interactions across 30 original posts from the last 30 days against 452,957 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, Search Engine Land sits above the 10th percentile of the 37,582 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 18% of the tracked X accounts closest to it in follower count (3,882 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 1.53 posts per day across the measured window.

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