Five Common SEO Mistakes To Stay Away From
First published in 2011, rewritten in 2026 so the advice holds today.
Why the same SEO mistakes keep costing sales
Most e-commerce teams now invest heavily in content and technical optimisation. Despite that, the same basic mistakes still undo good work. Google's systems have changed enormously since this article was first written, but the underlying trap hasn't: chasing the algorithm instead of the reader.
Mistake 1: Optimising for the algorithm, not the reader
In May 2011, Google's Panda update penalised thin, low-value content and pushed webmasters towards genuinely useful writing. That principle has only hardened since. The Helpful Content Update (2022) and the ongoing rollout of E-E-A-T guidance (Experience, Expertise, Authoritativeness, Trust) mean Google now explicitly rewards content written by people with real, demonstrable experience of the product or subject.
With AI Overviews now sitting above traditional results for many searches, content that's genuinely useful and specific has a better chance of being cited or clicked through, rather than simply summarised and bypassed. Writing for a real reader with a real question is no longer just good practice; it's the only route to visibility.
Mistake 2: Packing in too many keywords
Keyword stuffing was already being penalised in 2011, and it's far more clearly obsolete now. Google's language models, from BERT (2019) to MUM (2021), understand meaning, context and synonyms, not just literal keyword matches. Repeating a phrase unnaturally throughout a page does nothing for rankings and reads badly to customers.
What's replaced density counting is topic coverage: does the page answer the question thoroughly, using natural language, related terms and clear structure? Write in full sentences, structure content around what a customer actually wants to know, and let the keyword research inform your topics rather than your sentence-by-sentence wording.
Mistake 3: Misleading or unverifiable claims
Google has always cross-checked claims against known facts and trusted sources, and this has become far more sophisticated. With E-E-A-T now a formal part of Google's quality rater guidelines, trust signals matter directly: accurate product information, genuine reviews, clear author or business credentials, and claims that can be backed up.
This matters more, not less, now that generative AI makes it trivially easy to produce plausible-sounding but unverified text at scale. If you use AI tools to draft product copy or blog content, someone with real product knowledge still needs to check every factual claim before it goes live.
Mistake 4: Duplicate or thin content
The original guidance still holds:
"Does this article contain insightful analysis or interesting information that is beyond obvious?"
Duplicating manufacturer descriptions across product pages, or publishing AI-generated content with no editing or added insight, both fall foul of this. Google's Helpful Content systems are specifically designed to identify content produced primarily for search engines rather than people, including mass-produced AI content, and rank it down accordingly.
Use other sites and manufacturer copy as a starting point, but add something a competitor hasn't: your own testing, sizing advice, customer questions answered, or category-specific guidance.
Mistake 5: Looking and behaving like a low-quality site
Google has formalised what used to be a vague "don't look like spam" instinct into measurable page experience signals. Core Web Vitals, introduced in 2021, score real-world loading speed, interactivity and visual stability, and poor scores can affect ranking. Intrusive interstitials, excessive ads and slow, cluttered pages are still treated as signs of a low-quality site.
| 2011 concern | What it's become by 2026 |
|---|---|
| Keyword density | Topic coverage and natural language, judged by models like BERT and MUM |
| Generic webmaster guidelines | E-E-A-T and the Helpful Content system |
| Avoiding "spammy" design | Core Web Vitals and page experience scoring |
| Duplicate content | Detection of mass-produced or unedited AI content |
The basics haven't moved, the scrutiny has
If you're still measuring any of this through Universal Analytics, note that it was switched off in 2023 in favour of GA4, so make sure your organic traffic and conversion tracking is actually set up correctly before drawing conclusions about what's working.
The five mistakes here are the same ones that mattered in 2011: writing for machines instead of people, stuffing keywords, making unverifiable claims, publishing duplicate or thin content, and building pages that feel low quality to use. What's changed is how precisely Google can now detect all five. Get the fundamentals right and the algorithm updates stop being something to fear.