NeverIndexed Say What SEO Journals Are Afraid To

A Case Study In Claiming Credit For A Google Update You Had Nothing To Do With

March 15th. Google rolls out a core update. Traffic shifts happen across the web like tectonic plates. Websites that were invisible suddenly rank. Sites that printed money yesterday now print nothing. March 16th. Your inbox fills with case studies. "How We Increased Organic Traffic 847% In 14 Days." "The One Strategy That Tripled Our Client's Rankings." "Why Our Proprietary Framework Survived The Core Update (And Yours Didn't)." Every single one of them is a lie dressed up in a suit made of screenshots. This is the playbook. This is how SEO agencies turn Google's algorithm updates into their own personal lottery win. This is how consultants with three clients and a Canva subscription become thought leaders. This is correlation presented as causation, timestamps presented as proof, and coincidence presented as expertise. Let me show you exactly how it works.

The Setup: Doing Work That Might Not Matter

Step one is simple. Do some SEO work. Any SEO work. Publish blog posts. Fix some schema. Update title tags. Add internal links. Refresh old content. It doesn't matter what you do as long as you document when you did it. The work itself is often legitimate. That's not the scam. Nobody is out here doing nothing and claiming credit. That would be too obvious. The scam is what comes next. You do the work in February. You update the client. You wait. You know a core update is probably coming because Google runs them like clockwork now. Every few months. Predictable as rent. The work you did might help. It might do nothing. It might actively hurt. You have no idea because nobody has any idea. Google's algorithm is a black box that occasionally tweets at you in corporate therapy speak. But you documented everything. You have dates. You have screenshots. You have a timeline that looks like strategy when really it's just a calendar.

The Timing: When Google Does Your Job For You

March 15th arrives. The core update rolls out. You didn't know it was coming on this exact date but you knew it was coming eventually because it always comes eventually. Your client's traffic jumps 200%. Here's what actually happened: Google changed how it evaluates content quality or relevance or some signal they'll never fully explain. Thousands of sites went up. Thousands went down. Your client was in the went-up bucket. Pure algorithmic lottery. Could your February work have contributed? Maybe. Maybe Google's update rewarded sites that did exactly what you did. Or maybe Google's update had nothing to do with title tags and everything to do with how they process user behavior data now. You don't know. Nobody knows. But the timing is beautiful. The work happened before the update. The traffic increase happened after the update. The story writes itself.

The Case Study: Causation Theater

Now you write it up. This is where the magic happens. This is where coincidence becomes expertise. "In February, we implemented our proprietary content optimization framework. We updated 47 pages using our EEAT enhancement methodology. We restructured internal linking architecture to maximize authority flow." All of that is true. You did those things. Those are real dates and real numbers. "In March, organic traffic increased 217%. Rankings improved for 89% of target keywords. The client's visibility score rose from 34 to 67." Also true. That happened. Those are real Analytics screenshots with real numbers that you didn't fake. Here's what you leave out: Google launched a core update on March 15th. Every single one of your competitors saw traffic changes too. The entire SERP reshuffled. Your client's increase happened the exact same day Google's update rolled out, not the day you published those blog posts six weeks earlier. You don't lie. You just frame the truth in a way that makes temporal proximity look like causation.

The LinkedIn Post: Maximum Reach, Minimum Honesty

The case study becomes a LinkedIn carousel. Ten slides of graphs and buzzwords and that one stock photo of someone pointing at a laptop screen. "Most agencies don't understand EEAT. We do. Here's proof." The comments roll in. Other agency owners congratulate you. Junior SEOs ask what tools you used. Someone wants to book a call. Your post gets screenshot and shared in Slack channels and Discord servers. Nobody asks about the core update. Nobody checks Google Search Status Dashboard. Nobody compares your client's traffic spike to the exact date Google confirmed the rollout started. Why would they? The case study looks legitimate. The numbers are real. The timeline makes sense if you don't think about it too hard. And everyone wants to believe that SEO is a solvable problem with repeatable strategies, not a continuous game of adapting to changes you can't predict or fully understand.

The Enterprise Version: Bigger Lies, Better Graphs

Small agencies do this with one client and a laptop. Enterprise SEO platforms do this with data visualization tools and white papers. "Our analysis of 10,000 domains shows that sites using our recommendations saw 34% higher resistance to core update volatility." Cool analysis. Did you control for the fact that sites following your recommendations might also be sites with bigger budgets, more resources, better content, stronger brands, and more incoming links? Did you account for industry? Seasonality? The fact that some industries always do better in Q1? No? Just correlation dressed up as insight? Thought so. The bigger the company, the better they are at making correlation look scientific. They have data scientists and regression models and confidence intervals. They publish PDFs with citations. They present at conferences. It's still the same scam. It's just wearing a better suit.

Why This Works: We Want To Believe

This playbook succeeds because everyone involved wants it to succeed. Agencies want proof they provide value. Clients want proof they spent their budget wisely. The industry wants proof that SEO is a legitimate discipline and not just gambling with meta descriptions. Nobody wants to hear that sometimes traffic goes up because Google changed something and you just happened to be holding the right cards when they reshuffled the deck. That's not a case study. That's not a LinkedIn post. That's definitely not a reason to sign a six-month retainer. So we tell ourselves stories. We find patterns in noise. We mistake timing for strategy. We call it expertise.

The Tell: How To Spot Fake Attribution

You want to know if a case study is real or just someone riding Google's coattails? Check the dates. Did the traffic increase happen during a confirmed Google update? Check Search Engine Land. Check Google Search Status Dashboard. Check Barry Schwartz's fever dream of a news site where he documents every SERP fluctuation like he's tracking earthquakes. Did every other site in that niche see volatility at the same time? Use any rank tracking tool. If everyone moved, it wasn't the agency. It was Google. Does the case study mention the core update at all? If they got a 200% traffic increase the same week Google rolled out a major algorithm change and they don't mention that fact even once, they're hoping you don't notice. Do they show rankings for brand terms? Congratulations, you published some content and Google decided your brand deserves to rank for your own brand name. That's not SEO. That's just having a website. Do they show metrics without timeframes? "We increased traffic 300%." Okay, over what period? From when to when? Because if it's from the week before a core update to the week after, that's not a case study. That's a calendar.

The Real Work: What Actually Matters

Here's the part where I'm supposed to tell you that real SEO is still real and you should still do it. Fine. Real SEO is still real. Good content matters. Technical infrastructure matters. Links matter. User experience matters. All the boring foundational work that doesn't make for exciting case studies actually does help over time. But "over time" is the key phrase. Real SEO results compound slowly. You don't get 847% traffic increases in two weeks unless Google changed something big. You get 5% improvements that stack month after month until you look back six months later and realize you're in a different place. That doesn't make for a good LinkedIn post. That doesn't sell courses. That doesn't get you invited to speak at conferences where everyone pretends to understand EEAT while secretly wondering if they're spelling it wrong. Real SEO is boring. Real SEO is continuous. Real SEO is doing a hundred small things right and then doing them again next month. But nobody gets famous for "we did the work and then we waited and then we did more work and then we waited some more and eventually it helped probably."

The Cost: Trust As Currency

Every fake case study makes the next real one less believable. Every agency that claims credit for Google's work trains clients to distrust the next agency's actual results. Every consultant who turns correlation into causation makes it harder for the rest of us to have honest conversations about what we can and cannot control. The SEO industry runs on trust. Clients trust that we know what we're doing. We trust that Google is at least trying to be consistent. Everyone trusts that the case studies they read are grounded in reality. When agencies weaponize core updates as proof of expertise, they're not just lying to their clients. They're devaluing the entire currency we trade in. But sure, enjoy your viral LinkedIn post. I'm sure those 847 likes will keep the lights on when your next client Googles "did my SEO agency lie about results" and finds this article.

What You Should Do Instead

Be honest about uncertainty. Tell clients when you don't know. Explain that Google changes things constantly and sometimes those changes help you and sometimes they don't and nobody can predict which way it goes. Separate correlation from causation. If traffic goes up during a core update, say that. Don't pretend your work in February caused results in March when Google literally reshuffled the entire web on March 15th. Show your work over long timeframes. Six months. A year. Two years. Let the compounding effect speak for itself instead of cherry-picking the two-week window where everything went right. Stop performing expertise. You don't need a proprietary framework. You don't need a methodology named after yourself. You need to do the work, track what happens, and be honest about what you can prove versus what you hope is true. The SEO industry would be better if we all did this. We'd have fewer viral posts and more actual progress. Fewer thought leaders and more people who just do the work. But that would require admitting we don't control as much as we claim to control. That would require honesty over performance. That would require being okay with boring, incremental, unsexy progress instead of hockey-stick graphs that coincidentally start right when Google launched an update. Most agencies won't make that trade. Most consultants won't either. Which means the next core update will produce another wave of case studies, another flood of LinkedIn posts, another generation of SEOs who learn that claiming credit for Google's work is easier than doing work Google might actually reward. And the cycle continues. First rule of NeverIndexed: We talk about everything they told you not to talk about. Today we talked about how SEO agencies turn algorithm updates into case studies. How timing becomes strategy. How coincidence becomes expertise. How screenshots become proof of something that never happened the way they said it happened. Check the dates. Compare the timelines. Look for the core update they didn't mention. The answer is always there if you know where to look. And if you're an agency owner reading this while planning your next case study after the next core update, just know: we see you. We've always seen you. We just stopped pretending we didn't.

Frequently Asked Questions

How do SEO agencies claim credit for Google updates they had nothing to do with?

Agencies do legitimate SEO work weeks or months before a Google update, document everything with dates and screenshots, then present the traffic increase that happens during the update as proof their work caused the results. They use real data and accurate timelines but frame temporal proximity as causation, omitting the crucial detail that Google reshuffled rankings for thousands of sites on the same day.

Why do SEO experts post case studies right after algorithm updates?

Algorithm updates create massive ranking volatility across the web, meaning many sites see significant traffic changes purely from Google's algorithm adjustments. Experts who have been doing work for clients can present these coincidental traffic increases as proof of their methodology, knowing most readers won't check whether the results started exactly when Google confirmed an update rollout.

How can I tell if an SEO agency actually caused my traffic increase or just got lucky with a Google update?

Check if your traffic increase started during a confirmed Google algorithm update by comparing your Analytics dates to Google Search Status Dashboard and industry news sources. Look at whether competitors in your niche also saw volatility at the same time. Real SEO results typically compound slowly over months, while sudden hockey-stick traffic increases during update windows usually indicate Google's algorithm changes rather than agency work.

What is correlation vs causation in SEO case studies?

Correlation means two things happened around the same time—an agency did SEO work in February and traffic increased in March. Causation means one thing directly caused the other. Many case studies present correlation as causation by showing work that preceded results without acknowledging that a Google algorithm update happened between the work and the results, making it impossible to know what actually drove the traffic increase.

Do Google algorithm updates happen at the same time SEO work shows results?

Not systematically, but it happens often enough that agencies can exploit the timing. Google runs major core updates every few months with predictable regularity. Agencies doing continuous work for clients will inevitably have recent projects that preceded an update, creating perfect conditions to claim their February work caused March traffic increases when Google actually changed the algorithm on March 15th.

Why do so many SEO case studies get published right after core updates?

Core updates create widespread ranking changes, giving agencies a large pool of clients who experienced traffic increases. The updates provide ready-made case studies where agencies can truthfully say they did work before the traffic increased, even though the increase correlates precisely with Google's confirmed update rollout date rather than with when the agency work was completed.

How do I know if my SEO consultant is taking credit for Google's work?

Compare the dates when your traffic increased to Google's confirmed algorithm update schedule. If your consultant presents a case study showing dramatic results that started during an update window but doesn't mention the update at all, that's a red flag. Real consultants acknowledge uncertainty and separate their work from coincidental timing. Dishonest ones hope you won't check the dates.

What should I look for in an SEO case study to know if it's actually real?

Look for long timeframes showing gradual improvement over six months or more, acknowledgment of Google algorithm updates during the measurement period, comparison data showing the client outperformed competitors during the same timeframe, and honest discussion of what the agency can prove versus what might be coincidence. Be skeptical of dramatic short-term results that align perfectly with major Google updates.