top of page
Search

How Does Google Rank AI Content?

As someone who’s deeply invested in SEO and content creation, I often get asked whether AI-generated content can rank on Google. The answer is yes—AI content can rank well if it’s done right.


However, it’s not as simple as just letting a machine write for you and expecting instant success.


There are specific practices and considerations to keep in mind if you want your AI-generated text to perform well in search results.


In this article, UpLink SEO company in East London will guide you through how Google ranks AI content, what factors are at play, and what you can do to make sure your AI content meets Google’s standards.


 

Table of Contents:

 



AI SEO office.
AI and Google, do they work together?

Understanding Google’s Algorithm and AI Content


Google’s ranking system is complex and uses a variety of algorithms to determine which pages appear at the top of the search engine results pages (SERPs).


The introduction of AI-generated content adds another layer to this complexity. Google's algorithm is designed to evaluate content quality, relevance, and user experience.


With AI-driven content, the challenge lies in ensuring that it meets the same standards as content written by humans.


Google’s Core Ranking Systems


Google’s Search Generative Experience (SGE), which leverages advanced AI models like MUM and Gemini, is still rooted in the core ranking and quality systems that have been in place for years. These include algorithms like BERT, Neural Matching, RankBrain, and the Helpful Content System.


These systems work together to assess whether content is useful, relevant, and authoritative.


When it comes to AI content, Google looks for the same things it always has: originality, relevance, and user satisfaction.


AI-created articles must align with the search intent of users, be easy to read, and provide value. Content that meets these criteria is more likely to perform well on Google.


How AI Content Can Meet Google’s Quality Standards


Quality is a significant factor in determining how well AI-generated content ranks. Google prioritises content that is informative, original, and relevant to the user’s query. Here are the key elements that AI content must have to rank well:


1. Originality and Relevance


Google's Freshness Systems and Original Content Systems place a strong emphasis on the uniqueness of content. AI-written text must not only be free of plagiarism but also offer original insights or information.


To achieve this, make sure your AI content is tailored to the specific needs and interests of your audience. Avoid duplicate content at all costs, as Google penalises pages that don’t offer anything new.


2. Content Structure and Readability


Content readability is crucial, especially since Google’s AI-powered Search Generative Experience needs to understand and process your content efficiently.


Use clear headings, bullet points, and short paragraphs to make your content easy to digest. Aim for a readability level that’s appropriate for your audience; typically, an eighth-grade reading level works well for general web content.


Tools like the Readability Test Tool can help you gauge how easy your text is to read.


3. User Experience and Engagement


Google’s Page Experience signals, including Core Web Vitals and mobile-first indexing, play a significant role in content ranking.


Ensure your AI content is not only informative but also well-integrated into a website that is fast, responsive, and user-friendly.


Mobile optimisation is particularly important since Google primarily uses the mobile version of content for indexing.


Optimising AI Content for SEO


Even the best AI content won’t rank if it isn’t optimised for search engines. Here’s how you can make sure your AI-generated content is fully optimised:


1. Keyword Research and Usage


Start with thorough keyword research to identify relevant terms that your audience is searching for. Use these keywords naturally within your AI content to avoid keyword stuffing.


Incorporate Latent Semantic Indexing (LSI) keywords and long-tail keywords to cover a broader range of search queries. Tools like Google Keyword Planner can help you find the right keywords to target.


2. Structured Data and Schema Markup


Structured data is essential for helping search engines understand the context of your content. By using schema markup, you can provide Google with additional details about your content, such as author information, publication date, and more.


This can improve your chances of being featured in rich snippets or Google Knowledge Graph panels, which are often used in Search Generative Experience snapshots.


3. Backlinks and Authority Building


Building backlinks to your AI content is another effective way to improve its ranking.


Google’s Link Analysis Systems evaluate the quantity and quality of backlinks to determine the authority of a page.


Focus on earning backlinks from reputable sites within your industry. You can achieve this by creating high-quality, original content that other websites want to link to, or by reaching out to relevant websites for link opportunities.


The Importance of E-E-A-T in AI Content


Google places a high value on E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) in its ranking systems.


This is especially important for AI-generated content, which can sometimes lack the personal touch of human-written content. Here’s how to make sure your AI content meets these standards:


1. Experience and Expertise


Your content should demonstrate a high level of expertise in the subject matter.


This can be achieved by including first-party insights, case studies, or quotes from industry experts. Even if the content is generated by AI, it should be reviewed and supplemented by someone who is knowledgeable in the field.


2. Authority and Trustworthiness


To establish authority, your content should be published on a reputable site that has a strong backlink profile and positive user engagement.


Additionally, make sure your content is fact-checked and includes citations from credible sources.


Google’s Reliable Information Systems and Reviews Systems are designed to identify and prioritise trustworthy content, so it’s crucial that your AI content meets these criteria.


Using Visuals and Multimedia in AI Content


Visual content plays a significant role in enhancing the effectiveness of AI content.


Google’s Search Generative Experience often includes images and videos in its results, making visuals an important part of your content strategy.


1. Supporting Visuals


Include relevant images, infographics, and videos to support your text. Visuals not only make your content more engaging but also help with image SEO and video SEO.


Google’s algorithms can index and rank these multimedia elements, giving you another opportunity to appear in SGE snapshots.


2. Structured Data for Visuals


Use structured data to provide context for your visuals.


This could include ImageObject schema for images or VideoObject schema for videos. This helps Google understand what your visual content represents, which can improve its visibility in search results.


Targeting Long-Tail Keywords with AI Content


Google’s Search Generative Experience is designed to handle complex and specific queries, often involving long-tail keywords. These keywords usually have lower search volumes but higher conversion rates because they are highly specific.


1. Identifying Long-Tail Keywords


Use tools like Ahrefs or SEMrush to identify long-tail keywords relevant to your audience. For example, if you’re in the roofing industry, a long-tail keyword might be “how much does a roof replacement cost in London”.


These keywords can help you target users who are closer to making a decision, increasing the likelihood of conversions.


2. Incorporating Long-Tail Keywords


Integrate these keywords naturally into your AI content.


This can be done by answering specific questions or creating how-to guides that address these queries directly. Long-tail keywords are also excellent for generating follow-up searches in SGE snapshots, where users may explore a topic further.


Leveraging Google Merchant Center and Structured Data


For eCommerce businesses, Google Merchant Center can be a powerful tool in getting your AI content ranked.


Search Generative Experience uses data from Google’s Shopping Graph, which pulls from Merchant Center to generate results, especially for transactional queries.


1. Setting Up Google Merchant Center


If you sell products online, make sure you’re registered with Google Merchant Center. This allows your product information to be included in Google’s Shopping results and Search Generative Experience snapshots.


2. Using Product Schema Markup


Add Product schema to your AI-generated product descriptions. This structured data can include information like price, availability, and ratings, which helps Google display your products more prominently in search results.


Ensuring Content Freshness


Content freshness is a key factor in Google’s ranking algorithm. AI content that is regularly updated to reflect the latest information is more likely to perform well.


1. Updating Outdated Content


Regularly review your AI content to ensure it’s up-to-date. This is particularly important for topics that change frequently, such as technology, healthcare, or finance.


Updating content can also improve your rankings by signalling to Google’s Freshness Systems that your content is current and relevant.


2. Content Scheduling


Use AI tools to schedule regular updates to your content. This ensures that your content remains fresh without requiring constant manual intervention.


Tools like ContentStudio or Hootsuite can help automate this process.


Getting Featured on Third-Party Sites


Another way to boost the visibility of your AI content is by getting featured on reputable third-party sites. This can increase your content’s authority and provide additional backlinks.


1. Building Relationships


Reach out to industry blogs, news sites, and directories to feature your AI content. Being mentioned on high-authority sites can improve your rankings and increase traffic to your site.


2. Joining Directories


Consider joining directories like Yelp or Angi’s if applicable to your business. These platforms often rank well on Google and can drive significant referral traffic to your content.




SEO graphic
AI, SEO and Google

Final Thoughts On AI in SEO & Google


Incorporating AI-generated content into your website can be a powerful strategy, but it requires careful attention to detail.


By focusing on content quality, SEO best practices, structured data, and user experience, you can improve the chances of your AI content ranking well on Google. Stay up-to-date with Google’s algorithm updates and make adjustments as needed to keep your content performing at its best.




3 views0 comments

Comments


bottom of page