Scott Levy engagement report
@FuelOnline - 274K followers on X
Measured over 1 original post from a 30-day window, last computed on September 7, 2026.
Engagement
Early reading. We have captured 1 original post for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 1 interaction against 274K followers, an engagement rate of 0%. Posts are seen about 1.0K times each, and 0.096% of those impressions turn into an interaction. That is about 0.379% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 12K interactions, about 11986x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 1 original post from a 30-day window, last computed on September 7, 2026.
Where this sits in the catalog
At under 0.001%, Scott Levy sits below the 10th percentile of the 65,980 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 120.0% |
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 16:00 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 | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 100% 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.
- 100% 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 1627 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
- Jan 9, 201811986x their median
This is a photo of #Amazon's Jeff Bezos in 1999. Screenshot this or retweet it and look at it every time you start to feel doubt or fear trying to steal your dreams... https://t.co/hbf9P6mnC1
- Dec 5, 2025106x their median
Why AI Crawlers Are the New Gatekeepers, and What Marketers Must Do Now A new era is here. Traditional search bots are no longer the only systems indexing your content. A growing wave of AI crawlers now scans the web to feed language models, generative search engines, and real time assistants. A recent list of verified AI user agents confirms dozens of platforms actively crawling public sites today. If your site is not ready, you risk losing visibility in the channels where users increasingly search. The Stakes Are Rising AI crawlers behave differently from classic search bots. They index content not just to rank pages, but to fuel generative answers, train models, and surface expert responses in chat and voice interfaces. Block them and you may vanish from the new answer layer. Ignore them and your performance may suffer. Rely on old SEO alone and you fall behind brands built for AI driven discovery. Your content must now be structured for both humans and AI systems. What Smart Brands Are Doing Now 1. Auditing Server Logs for AI User Agents Reviewing server logs shows which AI crawlers already index your content and which have not. This reveals your current AI visibility. 2. Controlling What AI Can Access You can shape crawler access. If authority and visibility matter, keep key content crawlable. If privacy or load is an issue, apply robots rules or filtering. 3. Structuring Content for AI Understanding AI systems extract facts, entities, and structure. Use clean code, strong headers, clarity, and schema. Authority and accuracy matter as much as relevance. 4. Building AI Visibility Into Core Strategy Generative engines and voice assistants will soon drive a large share of search. AI first visibility is now essential, not optional. What This Means for Growth and Revenue Keyword rankings still matter, but they are not the full picture. Brands that appear in AI answers, conversational results, and generative previews will win. AI visibility drives: Stronger brand recall Higher authority More referral traffic Early competitive positioning Ignoring this shift risks being excluded from the fastest growing discovery channels. If you want to audit your AI visibility or build a modern content strategy ready for both humans and AI systems, now is the time, we do it here at Fuel Online. The search landscape is changing fast, and early adopters will own the next decade.
- Jan 12, 202644x their median
Google’s Core Update Did Not Break Your Site, Your Content Was Just Lazy Everyone is talking about Google’s latest core update like it is some mysterious punishment, but honestly it is one of the most predictable updates we have seen in a while if you have been paying attention. Google is basically saying what many of us have been saying quietly for years. Stop trying to be everything to everyone and start being really good at something specific. The biggest shift I am seeing is that niche expertise is winning again. Not fake niche pages. Not broad blogs that touch fifty industries with shallow takes. Real subject matter depth. Sites that live and breathe one space are showing up more often, and the generalist content farms are finally feeling some pressure. There is also a very clear message around AI content quality. This is not an anti AI update. It is an anti lazy AI update. Google is getting much better at spotting content that looks fine at a glance but falls apart when you actually read it. Accuracy matters more now, especially in areas where being wrong actually has consequences. AI can help you move faster, but it cannot be the final brain. If your content has never been reviewed by someone who actually understands the topic, that is a real risk now. Not later. Right now. Search itself is changing too. Rankings still matter, but they are no longer the only game. Between AI summaries, snippets, and blended results, users are often getting answers before they ever click. That means your content has to be clear, trustworthy, and easy to understand immediately. If it cannot be summarized cleanly without losing meaning or accuracy, you are already behind. So what should you actually do moving forward. First, narrow your focus. If your site tries to cover everything, pick a lane and go deep. Depth is beating breadth right now. Second, audit your AI assisted content. Do not delete it. Improve it. Add real insights, examples, opinions, and corrections that only a human would catch. Third, stop obsessing over single rankings and start watching intent and engagement. Are people staying. Are they coming back. Are they actually getting value. Fourth, build authority outside of Google. Email lists, social presence, brand mentions, real community. Algorithms change. Trust carries. The funny part is none of this is new. Google just finally caught up to how real humans decide what to trust. Be useful, be accurate, be specific, and stop trying to cheat your way through expertise. That approach is not flashy, but it works. https://t.co/V1TN7fCHyH
- Oct 18, 202537x their median
Most marketers still chase Google rankings. The real growth now happens inside answer engines like ChatGPT, Perplexity, and Google’s AI Overviews. AI SEO is not about keywords anymore. It’s about entity authority, data relationships, and trust signals that teach large models who to cite. If you want visibility in the next era of search, start here: 1. Build complete entity profiles across every platform. 2. Add structured data and schema that explain context, not just content. 3. Create topic clusters that align with your brand’s expertise. 4. Publish consistent data across social, PR, and web so the AI connects the dots. 5. Treat every post, article, and mention as training material for AI models. You are no longer just optimizing for algorithms. You are shaping how AI defines authority. https://t.co/V1TN7fC9J9 AISEO DigitalMarketing SEO AI MarketingLeadership
- Dec 1, 202533x their median
🚨 Google Search Console users your indexing report might be delayed, but indexing is not broken. Google recently acknowledged a temporary delay in the Search Console Page Indexing report. Crawling, indexing, and ranking remain unaffected. If your “Index Coverage” graph is stuck or pages don’t appear as indexed yet, don’t stress. That lag only affects the report view. Use the URL Inspection tool to verify individual URLs while Google backfills the data. Stay calm. Keep building. #SEO #GoogleSearchConsole #Indexing #DigitalMarketing #Webmasters #SEOTips
- Apr 21, 202616x their median
Facts https://t.co/iecQaaonZY
- Dec 4, 20258.0x their median
Unreal get your shit together #cloudflare with great power comes great responsibility. When you FAIL half the net goes down! Unacceptable ⚠️Cloud flare is Down again! ⚠️
- Sep 12, 20258.0x their median
Semantic SEO in 2025 = building “topic clusters” that map to LLM embeddings. Forget keyword stuffing. Create dense, interlinked ecosystems that teach AI engines your authority. https://t.co/joONZ6ZvCg
- Feb 27, 20266.0x their median
The Google Discover Core Update is DONE. 🧵 For the first time ever, Google launched a Core Update specifically for Discover. It took 22 days, and the landscape has officially shifted. Here is what you need to know to protect your traffic: 👇 1/ Localization is the priority. 📍 Google is pushing more locally relevant content. If you're a regional publisher, you likely saw a boost. If you're a national brand, you're now competing with "home-town" favorites for that feed space. 2/ Authority over Diversity. 🏛️ The update showed a "narrowing" of publishers. Google is surfacing more topics but from fewer domains. They want deep expertise, not "jack-of-all-trades" content. Authority > Reach. 3/ X is winning. 📈 Posts from institutional X (Twitter) accounts are appearing in Discover feeds more than ever (up over 4x in some regions). Your social presence is now a direct signal for your Discover visibility. 4/ Clickbait is out. 🚫 One of Google’s stated goals: Reduce sensationalism. If your CTR was high but your bounce rate was higher, this update likely hit you hard. High-quality, original reporting is the only safe bet. 5/ The Stats: Discover traffic now makes up ~68% of Google-sourced traffic for news publishers. Traditional search is down to ~27%. This isn't just an update; it's a fundamental shift in how the internet consumes news. Next Step: Head to GSC, filter by "Discover," and compare Feb 27 onward to your Jan baseline. #SEO #GoogleUpdate #DigitalMarketing #GoogleDiscover
- Jan 26, 20266.0x their median
Google has officially launched an ad-focused podcast, “Ads Decoded.” The wait is over. If you have ever felt like the inner workings of Google Ads were a bit of a mystery, today marks a significant shift in transparency. Google has officially launched Ads Decoded, a new podcast specifically designed to bridge the gap between complex platform updates and the advertisers who use them. Hosted by Google Ads Liaison Ginny Marvin, the first official episode of Season 1 is live today, Monday, Jan. 26, 2026. Beyond the Headlines While standard blog posts and help documents are useful for technical "how-to" steps, they often miss the nuance of why specific features are built the way they are. Ads Decoded aims to fix that by bringing product managers and engineers directly to the microphone. The series is designed to be jargon-free and highly practical. Instead of corporate fluff, expect candid conversations about the mechanics of the auction, the evolution of AI, and the logic behind major platform shifts. What to Expect: Key Topics and Insights Based on the early pilots and the 2026 roadmap, the podcast will tackle the most pressing questions in the PPC community: -Learning Periods: A deep dive into what actually happens when a campaign is in the "learning" phase and how to manage performance expectations. -The Future of Keywords: Insights into keywordless matching and how "AI Max for Search" is redefining the way we capture intent. -PMax Transparency: Detailed discussions on the new channel-level reporting and how to maintain control while leveraging automation. -Measurement Foundations: Why data quality is the single most important factor for success in 2026 and how to feed the right signals to the AI engine. What Marketers Stand to Gain This isn't just another industry podcast; it’s a direct line to the source. By tuning in, you’ll gain: -Strategic Clarity: Understanding the "why" behind a feature makes it much easier to build robust strategies and explain them to clients or stakeholders. -Community Voice: Ginny has committed to surfacing questions directly from the ads community, meaning your specific pain points are more likely to be addressed by the people building the tools. -Real-Time Troubleshooting: Hearing context directly from product leads can help you preemptively adjust your campaigns before updates fully roll out. The podcast is available now on YouTube, Apple Podcasts, Spotify, and Amazon Music. It’s an encouraging step toward a more open dialogue between Google and the people who power the ecosystem. Whether you are a seasoned pro or just getting started, this is one to keep on your radar. Will you be listening to the first episode today? What is the one Google Ads feature you'd love to see "decoded" in a future episode? Let’s discuss below. https://t.co/x15LcFm5jA
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.
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Reading these numbers
A typical post picks up 1 interaction against 274K followers, an engagement rate of 0%. Posts are seen about 1.0K times each, and 0.096% of those impressions turn into an interaction. That is about 0.379% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 12K interactions, about 11986x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Scott Levy's engagement rate on X?
- Scott Levy (@FuelOnline) has an engagement rate of 0%, based on the median interactions across 1 original posts from the last 30 days against 274,419 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At under 0.001%, Scott Levy sits below the 10th percentile of the 65,980 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 @FuelOnline have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @FuelOnline post?
- Most posts go out around 16:00 UTC, and Tuesday is its busiest day, at roughly 0.03 posts per day across the measured window.