AI and its content-generation capabilities have taken over the online world like wildfire over the past few years, particularly in how search engines work. The resulting changes have forced preeminent search engines like Yandex and Google to make critical decisions about how they present content on their results pages and how they evaluate its trustworthiness.

Naturally, these changes have affected how creators and businesses optimize their content for search engine retrieval. If you’re a business owner or content creator who needs advice on how to make your content more trustworthy, consider some of the tips below to start the process of adapting your business philosophy to the age of AI!

How AI Has Reframed the Way Search Engines Work

The process of conducting an online search evolves constantly, and has done so since the inception of the Internet itself. AI is just another stage in the evolution of online search, but there’s no question it has led to some of the most dramatic changes in online behavior.

Before the widespread use of AI, using search engines was fairly simple. Users would enter a query and receive an extensive list of indexed websites whose content matched the query's important keywords and topical metadata. That function still exists with AI, but the major difference is that AI serves as a tool that makes it much easier to locate accurate, helpful information.

​AI-enhanced search engines use the advanced algorithms of Large Language Models (LLMs) to rapidly sift through thousands of potential search results for a user query. These algorithms don’t just look for matching keywords, but rather for detailed, authoritative information backed by verifiable expertise. Once the algorithm finds the best results, it synthesizes them into a citation-heavy AI overview, a concise summary that gives the user critical answers to their question at the top of the search results page.

Clearly, this new process of generating search results poses new challenges for online businesses and content creators. The older methods search engines used to compile results lent themselves to keyword research, meaning that a website could rank highly on search results pages by targeting as many high-yield keywords as possible. Nowadays, keywords are only one part of the equation. Search engines are looking for more, and content creators have to optimize their content differently to maintain visibility.

Vital Trust Signals and Criteria That Affect Search Engine Results

Achieving success in AI SEO is a complex process that requires considering how AI engines evaluate content. There are many trust signals and criteria AI algorithms use to filter through search results and find the best content. Here are a few you should focus on:

Subject Relevance and Expertise

The most important trait of AI-optimized content is its relevance to user queries and its level of topical expertise. Unlike older, keyword-based search algorithms, AI engines look for content that directly answers a user’s questions with detailed information, and they can distinguish between AI-generated content that lacks human expertise and authoritative, well-researched content written by actual people. Online content that includes original research, clear authorship tags, biographical information that establishes credibility in the field, and citations of authoritative case studies or sources related to the user’s query topic achieves the best results with AI engines.

Authority Signals

Hand-in-hand with subject-matter expertise and relevance, content that displays certain authority signals is far more likely to appear in an AI overview. As AI-generated content becomes more common, users and AI-powered engines are increasingly scrutinizing published content for signals that it is human-written and reflects actual, lived authority in a field. As a result, storytelling has become an important tool for content creators, as crafting personalized content that reflects an author’s personal journey in their field signals experience to AI engines, which are then more likely to select the content for inclusion in a query overview.

Technical SEO and Structure

Personalization and expertise matter heavily when crafting content for AI retrieval, but AI engines also assess trustworthiness based on structure and technical page elements. A disorganized, poorly structured, and buggy webpage is likely to stand out to AI engines as potentially spammy, irrelevant, or untrustworthy. Thus, online creators and businesses need to make content that is accessible, readable, and well-structured. This includes incorporating schema (JSON-LD, Microdata, and RDFa) into all content and using reader-friendly heading structures that AI engines can interpret, thereby enhancing the content's usefulness and functionality.

Publishing and Branding Consistency

Finally, it is important for creators to maintain consistent schedules and branding strategies when executing an AI visibility plan. AI engines gravitate toward thought leadership and are programmed to prioritize websites that consistently publish thoughtful content and remain engaged in industry conversation. Similarly, a business should remain consistent in branding, using its content to highlight its core services and expertise so that AI engines have a clear picture of its place in the industry and its share of voice. Standard SEO strategies like backlinking, cross-publication, mentions, and partnerships with other businesses also help build authority and credibility by showcasing a business’s consistent engagement with its wider community.

How To Build Trustworthy Content To Maximize Visibility

The above criteria are just a few of the major ways AI engines evaluate content trustworthiness, and they are among the most important. When it comes to best practices for creating AI-optimized content, there are a few things to keep in mind that will increase the likelihood of success. If you are planning on optimizing your content so that AI engines will find it trustworthy, make sure to follow these strategies:

• Make Content In-Depth and Specific: AI engines look for focused content that solves specific queries. Don’t craft your content to be overly broad or shallow. Instead, consider long-tail keyword phrases and queries you want to cover and focus on solving a specific user problem.
   
• Cite Original and External Research: Include clear and relevant data from your own case studies and experience throughout your content, as well as high-quality citations to external research. These will build your credibility and can help facilitate backlinks and external engagement.
   
• Structure Content Effectively and Clearly: Use clear, hierarchical structures and headings to separate topics within your articles and posts. Make use of bulleted lists, FAQs, tables, infographics, and other structural elements that help convey information, and use concise language that readers and AI crawlers can digest easily.
   
• Keep a Consistent Tone and Voice: Establish a consistent brand voice across all your content and social media platforms. This will help prevent users and AI engines from confusing your branding and content with competitors' or with content that isn't part of your company’s publications.

Final Thoughts

AI has rapidly made the process of searching online very different, and whether you use engines like Yandex, Google, or Bing, you’re sure to encounter it, either as a business owner or a user. Achieving online visibility in the age of AI is a nuanced process, but with the strategies above, you can leverage these changes and succeed regardless of industry!

About the Author: Mikhail Slivinskiy is Search Ambassador at Yandex with over 15 years of experience in search technology and SEO. At Yandex, he has worked across product development, webmaster tools, and publisher engagement, including leading Yandex Webmaster from 2017 to 2024. He now focuses on how AI-driven search is evolving and how businesses can maintain visibility through authoritative content.