Can the rel=author tag really boost your credibility in the SERPs?

What is the rel=author tag and how does it work?

The rel=author tag connects a published piece of content to a specific author profile, typically hosted on Google+ at the time of this statement. The mechanism relies on clear attribution: this text was written by this real person, with a verifiable profile.

The underlying idea is straightforward: if Google can identify the author of content, it can also assess their reputation and overall credibility. An author who consistently produces quality content on a given topic could see their future works benefit from a trust bonus.

Why does Google associate authorship with reliability?

The search engine constantly seeks to distinguish reliable content from mediocre or manipulative content. An identified and recurring author serves as a potential quality signal, especially in sensitive areas like health, finance, or news.

This approach aligns with a broader logic: to reward recognized experts rather than anonymous sites that publish bulk content without signatures. Google suggests that authorship attribution could become a ranking factor, though it remains vague about the timeline and extent of this impact.

Does this tag apply to all types of sites?

Google explicitly states that rel=author is beneficial regardless of the type of site. Whether you run a personal blog, a news media outlet, or an e-commerce site with advisory pages, authorship attribution is intended to work everywhere.

That said, the actual impact varies depending on context. On a news site or expert blog, authorship makes sense. On a standard product page, the relevance is less obvious. Google does not elaborate on these nuances, leaving SEOs uncertain about implementation priorities.

• rel=author ties content to an identifiable author profile
• Google considers using this attribution as a trust signal
• Applicable to all types of sites, yet relevance varies by context
• Remains vague about the timeline and extent of the ranking impact
• Underlying logic: reward identified experts vs. anonymous content

Is this statement consistent with observable practices on the ground?

The reality is that Google abandoned displaying authorship in search results a few years after this statement. Author photos and profile links have disappeared from the SERPs, casting major doubt on the real utility of rel=author.

This does not necessarily mean that Google does not use any authorship signals internally. It is possible that the engine continues to leverage this data to assess credibility, but without visible display. The problem is that we have no tangible evidence of this usage. [To be verified]: the real impact of authorship on ranking remains undocumented publicly.

What nuances should be considered regarding this promise of credibility?

Google refers to an effect “in the long run”, which is typically vague. No timeline, no metrics, no concrete examples. This wording allows Google to never be caught off guard: if the impact is not visible, it is because it remains “upcoming”.

Moreover, the notion of author credibility is challenging to quantify. Google would need to evaluate the expertise, authority, and trustworthiness of an author through their publications, social profiles, backlinks... a massive undertaking prone to manipulation. It is likely this aspect was deemed too complex or risky for large-scale deployment.

In which cases does this recommendation remain relevant despite everything?

Even if the direct impact on ranking is doubtful, authorship attribution still holds significance for other reasons. It enhances editorial transparency, which aligns with E-E-A-T criteria (Experience, Expertise, Authoritativeness, Trustworthiness).

For sensitive content (health, finance, legal), clearly displaying the identity and qualifications of the author reassures visitors and potentially Google’s Quality Raters. Even without a technical tag, structuring authorship visibly within content remains best practice.

What should you do with authorship today?

Forget the specific rel=author tag: it is no longer supported or useful. Instead, focus on the visible and structured display of the author on your pages. Use Schema.org structured data of type Article or BlogPosting with the property "author".

Create dedicated author pages featuring bios, photos, publication lists, and links to social or professional profiles (LinkedIn, personal site). Link each article to its author page through a clear internal link. This allows Google to build an expertise profile for each contributor on your site.

What mistakes should be avoided when implementing authorship?

Avoid creating fictitious or generic authors (e.g., "Editorial Team", "Admin"). Google seeks real, identifiable individuals. An author with no existence outside your site doesn't add any credibility.

Also, avoid multiplying signatures: content co-written by five authors dilutes attribution. Prioritize a clearly identified main author. Lastly, maintain consistency: if an author signs content on unrelated topics, their perceived expertise diminishes.

How can you verify that your implementation is optimal?

Test your structured data with Google’s Rich Results Test to ensure that the "author" property is correctly recognized. Ensure each author page is indexable and crawlable, with substantial content (not just a name and a line of bio).

Audit the consistency of your signatures: the same author should appear with the same name and profile URL throughout the site. Finally, monitor engagement on your content: a recognized author generates more clicks, shares, and backlinks, which indirectly boosts your SEO.

• Implement Schema.org Author structured data on all editorial content
• Create dedicated author pages with bios, photos, and publication lists
• Use real, identifiable authors with verifiable online presence
• Link each article to its author page via a visible internal link
• Test implementation with Google’s Rich Results Test
• Ensure signature consistency across the site