What holding #1 on Google for ten years taught me about SEO
For roughly ten years, my agency held the #1 spot on Google for "Chicago web design" and ranked Top 3 globally for "web design" — through Panda, through Penguin, through the mobile-first shift, through BERT, and now into an era of AI Overviews that has a lot of businesses convinced everything they know about SEO is obsolete. I watched competitors rise and fall across every one of those updates. The ones who fell weren't unlucky. They were playing a different game than I was, and that game only ever works until the next algorithm update makes it stop.
This isn't a nostalgia piece. It's the actual mechanism behind a track record that outlasted five distinct versions of how Google decides what deserves to rank — and why I'd bet on the same mechanism holding through whatever AI search becomes next.
Ten years, one spot, five different algorithms
Panda punished thin content. Penguin punished manipulative link-building. Mobile-first indexing punished sites that treated mobile as an afterthought. BERT rewarded content that actually answered the question behind a query, not just the keywords in it. And now AI Overviews reward content structured to be confidently cited. Each of these was, at the time, described as a seismic shift that would upend everything. Each time, the sites that had been built around gaming the previous version of the algorithm got hurt. The sites built around being genuinely useful barely noticed.
I didn't survive five algorithm eras by predicting each one. I survived them by never fully committing to a strategy that only worked because of a loophole.
What that actually looked like week to week was less dramatic than it sounds. It wasn't a single bet that paid off — it was refusing dozens of smaller bets along the way. Every few months, some new "guaranteed" tactic would show up: a link-buying network, a content-spinning tool, a directory submission service promising instant authority. Each one had case studies. Each one had someone in an SEO forum swearing it worked. I tried a few of the low-risk ones early on, watched the pattern, and stopped trusting anything that promised a ranking without also explaining why a human reader would actually value the result. That filter — would a real person searching for this be glad they found it — turned out to be a better algorithm predictor than any actual algorithm.
| Algorithm era | What it changed |
|---|---|
| Panda | Punished thin content |
| Penguin | Punished manipulative link-building |
| Mobile-first indexing | Punished sites that treated mobile as an afterthought |
| BERT | Rewarded content that actually answered the query |
| AI Overviews | Rewards content structured to be confidently cited |
What actually held the ranking
Strip away the specifics of any given year, and three things did the actual work, every single time:
- Genuine authority, not manufactured signals. Real depth on a topic, built over years, is expensive to fake and hard for any algorithm — human-built or AI — to mistake for something thinner wearing the same keywords.
- Consistency over bursts. A site that publishes steadily for years sends a completely different signal than one that publishes in a frantic push before an update and goes quiet after. Algorithms changed constantly. The reward for consistency never did.
- Usefulness as the goal, ranking as the byproduct. Every time I saw a competitor optimize for the ranking directly — keyword density, exact-match anchor text, content length for its own sake — they won for a quarter and lost the position within a year. Optimizing for the reader first turned out to be the more durable strategy, even though it never felt like the "SEO trick" everyone was searching for.
Every algorithm update in the last decade did the same thing: it got better at detecting the difference between genuinely useful and merely optimized. Betting on the second one was always a countdown.
What I abandoned along the way
To be clear, I didn't arrive at this discipline instantly — I ran plenty of the era-specific tactics that were standard practice at the time: keyword density targets, exact-match domain plays, directory submissions, and link exchanges that were considered best practice before Penguin made them a liability overnight. The pattern I noticed, watching those tactics get penalized one by one, is what eventually shaped the more durable approach. Every trick I abandoned had the same shape: it worked because it exploited a specific, temporary gap in how the algorithm measured quality. Once the measurement improved, the trick became a liability instead of an advantage.
Being an early Google partner during that period mattered less because of any special access, and more because it put me close enough to the actual guidance to notice how consistently it pointed away from tricks and toward fundamentals — long before "helpful content" became an official phrase in Google's own documentation. The businesses that treated that guidance as the whole strategy, rather than a hint to decode around, are the ones still standing now.
The mistake almost everyone still makes
The single most common error I still see, in every era including this one, is chasing whatever the current trick is instead of building the thing the trick is trying to approximate. Right now that mistake wears a new disguise: businesses flooding their sites with generic AI-generated volume, betting that more content equals more visibility. It's the same bet keyword-stuffing was twenty years ago, and it will resolve the same way — well, until the next update measures genuine authority even more precisely than the last one did, at which point the volume becomes the liability. I wrote more about exactly how that shift is already showing up in AI search results in SEO isn't dead. The businesses who think so are. — the mechanics of zero-click search and citation are the current chapter of the same story this post is telling.
The one thing I'd tell any business starting today
Don't ask "what ranks right now." Ask "what would still deserve to rank in five years, regardless of what the algorithm looks like by then." That single reframe would have kept most of the sites I watched get penalized over the last decade out of trouble, and it's the only piece of SEO advice I've never had to walk back.
A test you can run on your own SEO strategy
You don't need ten years of data to check which side of this line your business is on. Pull up your last quarter of SEO decisions — pages built, content published, links pursued — and ask four questions:
- If the algorithm stayed exactly as it is today forever, would this still be a good decision? If the honest answer depends on a loophole staying open, it's a tactic, not a strategy.
- Would a real person searching for this be glad they found it, independent of where it ranks? Content built to satisfy a reader and content built to satisfy an algorithm look similar on the surface and behave completely differently over time.
- Is this page here because it's genuinely useful, or because a checklist said we needed one? Volume built to hit a content quota is exactly the pattern every algorithm update since Panda has gotten better at detecting.
- Could you explain, out loud, why this deserves to outrank a competitor — in terms of value to the reader, not technical SEO signals? If the honest answer is a shrug, that's the page most likely to get penalized whenever the next update lands.
A "no" on any of these doesn't mean undo the work — it means that piece is borrowed time, not durable authority. Worth knowing which is which before you build a whole strategy on top of it.
Research Confidence
This article is based on:
- A decade-long, verifiable personal track record: #1 for "Chicago web design," Top 3 globally for "web design"
- Direct experience operating through five named algorithm eras — Panda, Penguin, mobile-first indexing, BERT, and AI Overviews
- Proximity to official platform guidance as an early Google partner during that period
- Hypotheses still being tested around exactly how AI Overviews will weight sustained authority long-term
Confidence Level: High
Frequently asked questions
How did you hold #1 on Google for "Chicago web design" for a decade?
Not with a trick — with consistency. Genuine topical depth, real user value, and steady output across roughly ten years and five distinct algorithm eras, while competitors chased whatever tactic was working that quarter and got penalized when it stopped.
What SEO tactics worked years ago that don't work now?
Keyword stuffing, bought link networks, and thin content built purely to rank all worked briefly, then got penalized in successive algorithm updates. Every tactic built around gaming the system had a shelf life measured in months.
Has the fundamental strategy behind good SEO changed?
No. Genuine authority, consistency, and real usefulness to the reader have held through Panda, Penguin, mobile-first indexing, BERT, and now AI Overviews. The tactics for expressing those fundamentals change every few years; the fundamentals themselves haven't moved.
What's the biggest SEO mistake businesses still make?
Chasing whatever the current trick is instead of building durable authority. It's the same mistake in every era — it just wears a different disguise each time, from keyword density to backlink schemes to, now, generic AI-generated volume.
Does a decade-old SEO track record still matter in the AI search era?
Yes — arguably more than before. AI answer engines reward exactly the kind of sustained, genuine authority that held a ranking for a decade; they're simply harder to fool with shortcuts than a traditional ranking algorithm ever was.


