When you start with a ready-made template, you often think that most of the work is already done. Personalizing a pre-coded, well-designed structure with your own information promises a quick start. I followed this logic when setting up my personal blog, using an open-source template. However, while everything “seemed” to be going well, I encountered the possibility that Google actually thought I was someone else entirely. This situation once again demonstrated how critical the unseen layers of structured data and SEO are.
This is a story about how you need to not only change the code but also meticulously check the identity information your site presents to search engines. It’s not enough for it to just “work”; it also needs to tell the “truth.” Let’s look together at how I discovered this unexpected detail and what you need to pay attention to.
The Unseen Layer: The Template’s Legacy
When I set up a new site, my first task is usually to get it live quickly and then address any shortcomings with SEO audits. I did the same this time. Thanks to the template’s own personalization script, basic information like name and domain was quickly updated. The code compiled, the site went live, and I ran my first SEO analysis. While I thought everything was fine, my eye caught the JSON-LD blocks in the rendered HTML.
These blocks aim to make web page content machine-readable through standards like Schema.org. Google and other search engines use this data to better understand what the page is about and can offer richer displays in search results. It was at this exact point that I noticed the Wikidata Q-ID and ORCID identifiers belonging to the template’s original owner were still present. The site was literally telling Google, “I am the original owner of the template.”
I realized that this situation could lead to a serious identity confusion for both me and the template’s original owner. My reputation would be associated with someone else’s identity information; their reputation would be tainted by my information. While this might seem like a simple mistake, it’s a significant problem when considering search engines’ knowledge graph.
Indirect Identity Theft Hidden in the Details
To find the source of the problem, I examined the template’s personalization script and the resulting HTML code in more detail. The script changed visible text like names and domains, but it might have missed IDs in structured data or some hidden links in HTML comments. And yes, that was exactly the case.
Verification via the Wikidata API confirmed that these IDs indeed belonged to the template’s original owner. Furthermore, there were places where the personalization script hadn’t been entirely successful. A strange mix like “new name + old surname” appeared in the SEO keywords. This meant Google was associating me with keywords targeting the wrong person. And to top it off, there was an easter-egg comment in the view-source with the template owner’s GitHub link.
These discoveries emphasized how important it was to go beyond a simple “it works” state. A site looking perfect didn’t mean it was conveying the correct information to search engines. This could be a major trap, especially for developers who aren’t deeply familiar with technical details.
Correction and Lessons Learned
Fortunately, the solution to this situation was simple. I updated the incorrect Wikidata and ORCID IDs in the JSON-LD blocks with my own information (or left them blank if I didn’t have any). I corrected the keyword mix-up in the SEO keywords and removed the unnecessary GitHub link from the source code. After these steps, the site’s identity information was now correctly associated with me.
The most important lesson I learned from this experience is the need to pay attention to the “unseen” layers even when using ready-made templates. Structured data, meta tags, comments, and even code in JavaScript files can determine your site’s identity in search engines. Especially when using structured data types like Schema.org, always check fields like identifier or sameAs. If you don’t have your own Wikidata or ORCID record, it’s best to leave these fields blank.
Such situations can be overlooked, especially in projects with technical depth. However, for search engines, these details directly affect your site’s trustworthiness and correct indexing. Therefore, for every new site you launch, after handling the “visible” parts, I recommend performing a “health check” by examining the source code and verifying the structured data.
What unexpected SEO issues have you encountered while working with ready-made templates? Please share your experiences with structured data in the comments!