Official statement
Other statements from this video 1 ▾
Google recommends implementing Authorship to clearly identify the authors of articles. This practice helps the engine understand who authored a specific piece of content, potentially improving its perception and indexing. For news websites, this is a trust signal that can influence rankings, although its real impact remains difficult to quantify precisely.
What you need to understand
Why does Google emphasize author identification?
Google's goal is simple: to understand who is speaking to better assess the credibility of information. In the news field, where misinformation proliferates, linking content to an identified author helps establish a chain of editorial accountability.
This approach is part of a broader logic to dismantle content farms and anonymous sites that publish without commitment. A clearly identified author can be tracked, evaluated based on past publications, and their reputation can become a quality signal for the algorithm.
How does Authorship actually influence indexing?
Google uses authorship data to build author profiles that accumulate a form of thematic authority. If a journalist regularly publishes on a specific topic and their articles generate engagement, their future content may benefit from an initial boost.
Indexing itself is not directly conditioned by authorship, but the qualitative perception of the content can be. An article signed by a recognized expert in a field will potentially carry more weight than an anonymous text on the same subject, all else being equal.
What structured data should be used to implement Authorship?
The recommended markup is based on Schema.org, particularly the author and Person properties. It is essential to structure the information so that Google can connect the author to a coherent profile, ideally with a dedicated page listing their publications.
The former Google Authorship system via Google+ has been discontinued, but the fundamental principles persist. Transparency about the author's identity, expertise, and affiliations is still valued, even if the technical mechanism has evolved.
- Authorship allows Google to build author profiles and assess their thematic expertise over time through publications
- Schema.org structured data (author, Person) is the technical standard to implement for clearly marking the author
- The reputation of an author can influence the qualitative perception of their future content, especially in sensitive areas
- The direct impact on indexing remains unclear, but authorship plays a role in E-E-A-T evaluation (Experience, Expertise, Authoritativeness, Trust)
- A dedicated author page listing all publications strengthens profile coherence and facilitates content association
SEO Expert opinion
Does this recommendation yield measurable results in practice?
Let's be honest: measuring the direct impact of authorship is complex. Unlike an optimized title or a quality backlink, the effect of authorship gets diluted among dozens of other algorithmic signals. A/B testing is difficult to conduct on this isolated factor.
What is observable is that news sites that rigorously implement authorship tend to perform better in E-E-A-T. But is this the cause or a symptom of a generally more professional editorial approach? [To be verified] — public data is lacking to definitively determine this.
What are the practical limitations of this approach?
First issue: not all authors are regarded equally by Google. An unknown author, even well-marked, will not provide any immediate benefits. It takes time, thematic consistency, and engagement to build author authority.
Second limitation: anonymous or collaborative content is still penalized under this logic. In certain contexts (investigative journalism under a pseudonym, collaboratively produced content), individual authorship does not make sense. Google does not provide a clear solution for these specific cases.
Third point: authorship can become a means of manipulation. Nothing prevents the creation of fake profiles, purchasing expert signatures, or recycling content under different names. Google needs to cross-reference this data with other signals to avoid abuse, which further dilutes the direct impact.
In what contexts does this recommendation become critical?
For YMYL (Your Money Your Life) sites, authorship is not optional. An article on medical topics without an identifiable author or verifiable CV will be systematically devalued. This is where the signal truly matters.
For general news sites, the effect is more nuanced. A breaking news article signed by a recognized journalist may benefit from a freshness and credibility boost, especially if that author has previously published on the topic. However, a standard factual article (sports results, AFP dispatch) will likely gain little from sophisticated authorship.
Practical impact and recommendations
How to properly structure authorship on a news site?
First step: create an author page for each contributor. This page should list all their publications, display a clear biography, mention their areas of expertise, and ideally link to their professional profiles (LinkedIn, verifiable Twitter). This consistency allows Google to create a reliable profile.
Second step: implement Schema.org markup on each article. Use the author properties with a Person object that includes the name, the URL of the author page, and possibly an image. Avoid empty tags or generic values like "Editorial Team" that do not contribute anything.
What common mistakes should be absolutely avoided?
Classic error: attributing all articles to a generic author ("Editorial Team", "Admin"). This is worse than doing nothing, as it creates an incoherent profile that jumps from topic to topic without detectable expertise. If content is truly collective, it is better not to force authorship.
Second trap: frequently changing authors without logic. If an article is first attributed to Pierre, then to Marie after a minor update, Google loses the ability to track editorial consistency. It is important to distinguish the original author from a contributor at an update.
Third error: neglecting the author page itself. An empty page, without a bio or a list of publications, renders the markup useless. Google needs context to assess expertise. An author without a verifiable history does not provide any positive signal.
How to check if the implementation is working correctly?
Use the Google Rich Results Test to confirm that the Schema.org markup is properly detected. Check that the author and Person properties display without errors or warnings. Poorly formed markup is ignored by Google.
Also, monitor the Search Console to detect any inconsistencies reported by Google. If author pages generate 404 errors or redirects, the authorship signal is broken. Finally, analyze if your most prolific authors are starting to appear in the people also search for or other entity-related features.
- Create a dedicated author page with bio, expertise, and publication list for each contributor
- Implement Schema.org markup (author + Person) on each article with the author page URL
- Maintain editorial coherence: one author = one clear and consistent thematic expertise over time
- Avoid generic authors ("Editorial Team", "Admin") that dilute the authorship signal
- Test the markup with the Google Rich Results Test tool and monitor the Search Console
- Link author pages to verifiable social profiles (LinkedIn, Twitter) to enhance credibility
❓ Frequently Asked Questions
L'authorship est-il un facteur de ranking direct ?
Faut-il créer une page auteur même pour des contributeurs occasionnels ?
Peut-on utiliser un pseudonyme pour l'authorship ?
Que faire si un article a plusieurs auteurs ?
L'authorship affecte-t-il la vitesse d'indexation des nouveaux articles ?
🎥 From the same video 1
Other SEO insights extracted from this same Google Search Central video · duration 1 min · published on 04/02/2013
🎥 Watch the full video on YouTube →
💬 Comments (0)
Be the first to comment.