AEO: как попасть в ответы Google и AI-ассистентов

Webinar on Website Promotion

Introduction to the Webinar

• The webinar begins with a greeting from the host, introducing Ivan Dubrovsky as the speaker.

• The main topic is introduced: how to optimize content for neural networks and improve website rankings.

Importance of Evidence in SEO

• Ivan emphasizes the importance of using evidence-based practices in SEO, sharing results from experiments conducted on client websites.

• He mentions that his presentation includes both personal case studies and research findings from reputable companies like SE Ranking and Backlinko.

Understanding AO Optimization

• Ivan explains that AO (Artificial Optimization) is a relatively new digital tool, making it challenging to determine which factors influence ranking improvements.

• He advises attendees to rely on their experiences alongside presented data due to inherent randomness in optimization processes.

Speaker Background

• Ivan shares his background, highlighting over 15 years of experience in SEO and entrepreneurship, along with various certifications related to business and SEO.

• He expresses gratitude towards Mikhail Shakin for a course that significantly enhanced his understanding of semantic core development.

Key Points for Discussion

• The webinar will cover four important points regarding AO optimization, including terminology clarification and practical checklists.

• A brief overview of relevant terminology will be provided to ensure all participants are aligned during discussions about LLM (Large Language Models).

Terminology Clarification

• Ivan discusses different terms used interchangeably in the field such as AO (Asking Optimization), GIE (Google Information Extraction), and LMO (Language Model Optimization).

• He defines key concepts like LLM, Google Overview, and Future Snippet while explaining their relevance in search engine optimization strategies.

LM TXT File Discussion

• The discussion shifts to LM TXT files, which serve a similar purpose as robots.txt but specifically for informing language models about site content.

• Ivan critiques common misconceptions surrounding LM TXT usage among SEO professionals and its effectiveness based on their own experiments.

Insights on Neural Networks and SEO Strategies

The Role of Neural Networks in Information Retrieval

• Media outlets have not demonstrated that neural networks can effectively retrieve specific information. Instead, they tend to provide content based on microdata and existing website content.

• SE Rank conducted a study analyzing around 120,000 pages, concluding that reliance solely on the lm file (MSTXT) has minimal impact on citation probability in ChatGPT.

Alternative Approaches to Content Optimization

• Oleg Shestakov proposed an interesting hypothesis regarding using specific files placed at the bottom of web pages (like privacy policies) to enhance visibility; however, this method remains untested by the speaker.

Importance of Site Speed for SEO

• Core Web Vitals measure site optimization concerning speed; faster sites are more likely to rank higher. This is supported by various projects across different industries.

• Projects showed that improving page speed into the green zone significantly increased rankings in HFS and I overview metrics.

Common Mistakes and Recommendations for Improving Site Speed

• Key mistakes include inadequate hosting solutions, large image sizes, and excessive complex JavaScript.

• Suggestions for improvement involve contacting hosting providers for enhancements and optimizing images to VP format.

Case Study: Backlink Strategy Success

• A case study involved a company providing digital nomad services in Spain; within three months, they achieved top rankings through strategic keyword targeting.

• The strategy included creating blog articles tailored to long-tail keywords identified through neural network searches and acquiring backlinks from media outlets with social sharing capabilities.

User Engagement Metrics as Ranking Factors

• Successful indexing of articles led to improved user engagement metrics like "last click," which positively influences ranking factors.

Hypothesis on Trustworthiness and Relevance in Content Creation

• The speaker hypothesizes that quickly establishing trust through quality backlinks while ensuring content relevance at publication time can significantly boost rankings in neural networks.

Understanding the Role of a Targetologist

Introduction to Targetologists

• The speaker introduces the concept of a targetologist, describing it as a digital profession focused on social media marketing.

• They mention their website's success in ranking for the term "targetologist" despite being relatively new and underdeveloped compared to competitors like Skillbox and Netology.

Content Optimization Strategies

• The speaker explains how they achieved high rankings by optimizing content using structured formats such as bullet points, tables, and concise answers to specific questions.

• They emphasize the importance of breaking down information into logical blocks rather than lengthy articles, adhering to the TLDR (Too Long; Didn't Read) principle.

Google Search Optimization Techniques

• Recommendations include writing clearly and structuring text with subheadings (H2, H3), ensuring each block addresses one idea effectively.

• The speaker discusses how Google retrieves optimized fragments from their content when users search for terms related to targetologists.

Future Snippet Optimization

• They describe their approach to optimizing for future snippets—short summaries that appear at the top of search results—by using clear definitions and organized lists.

• The speaker notes that while Google's algorithms have evolved, their foundational strategies remain effective for achieving visibility in search results.

Microdata Markup Utilization

• Discussion on schema markup highlights its role in enhancing search engine understanding of web content.

• The speaker shares insights on utilizing microdata effectively across various types of content, including articles and products, to improve SEO performance.

Training Program Insights

Importance of Tagging in Education and Business

• Emphasizes the significance of filling out various tags in training programs, particularly in education and hospitality sectors.

• Suggests using ChatGPT to identify missing tags that competitors may overlook, enhancing visibility and competitiveness.

Validation through Google Tools

• Discusses a validation process using Google Search Console to ensure proper tagging and optimization for SEO courses.

• Highlights how AI tools can extract additional relevant fields from microdata not present in the visible text.

SEO Strategies and Site Performance

• Critiques the overemphasis on robots.txt files, suggesting their impact is overstated based on research findings.

• Stresses the importance of site speed, aiming for a green performance rating rather than yellow.

Link Building Techniques

• Recommends acquiring high-quality backlinks from authoritative sources within three days post-indexing to boost trustworthiness and traffic.

• Shares a successful case study where optimized articles with structured data improved rankings against older domains.

Research Findings on SEO Optimization

Creating Effective Checklists

• Describes compiling insights from reputable sources like SEO Ranking and Hevs into a concise checklist via ChatGPT.

Key Elements for Visibility Improvement

• Summarizes findings from an AI research group analyzing 10,000 search queries to determine effective methods for increasing visibility in chatbots.

Essential Optimization Tactics

• Advocates for clear query focus per page, placing answers prominently within the first few paragraphs to optimize for featured snippets.

Structuring Content Effectively

• Advises using subheadings (H2/H3), ensuring each section addresses specific questions related to the main topic.

Citing Trustworthy Sources

• Encourages including citations from credible organizations as part of content strategy to enhance authority.

Insights on Domain Authority Factors

Research Analysis by SEO Ranking Team

• Discusses an analysis involving 129,000 domains revealing factors influencing citation frequency by AI models like ChatGPT.

Key Findings on Brand Mentions

• Highlights that frequent brand mentions correlate with higher citation rates; thus, building brand awareness is crucial for visibility.

Backlink Strategies and Content Optimization

Importance of Backlinks

• Focus on backlinks for commercial services, directing brand queries to the main page. Examples include K2 UPL and educational institutions.

• Sites with higher traffic (190k visits) receive nearly double the citations, emphasizing the need for significant traffic directed at brand-related searches.

Content Structure and Freshness

• Long-form content is essential; aim for 120-180 words between headings, with initial paragraphs capped at 60 words.

• Conducted an experiment updating ten articles by adding a paragraph and modifying publication dates, resulting in improved rankings for seven articles without additional backlinks.

Social Proof and Technical SEO

• Discusses the importance of social proof; plans to experiment with Reddit as a citation source based on research from 129,000 sites.

• Highlights technical SEO factors like fast loading times and proper site structure as critical elements influencing search rankings.

Expert Recommendations for Citation Factors

• A checklist derived from EA SEO analysis identifies key factors that enhance website citation likelihood: clear brand descriptions, consistent branding across platforms, and presence in forums/social media.

• Emphasizes using structured data formats like FAQ sections to optimize content for featured snippets while avoiding duplication of Q&A under commercial pages.

Originality and Technical Readiness

• Stresses the importance of original content trustworthiness in traditional SEO practices alongside technical readiness such as accessible XML sitemaps.

• Concludes that findings align closely with previous studies regarding factors contributing to top search rankings.

How to Optimize Articles for Search Rankings Using AI

The Challenge of Ranking in Search Engines

• The speaker discusses the difficulty of getting an article on in-demand professions in Europe to rank well despite following SEO best practices, including detailed microdata and structured content.

Utilizing ChatGPT for Insights

• The speaker inputs "in-demand professions" into ChatGPT, which provides localized responses based on the user's geographical location, emphasizing the importance of relevant data sources.

• ChatGPT analyzes the request by referencing fresh Polish, Ukrainian, and Russian sources to provide concrete statistics rather than vague descriptions about job popularity.

Analyzing Article Performance

• After sharing their article with ChatGPT, the speaker receives feedback indicating that general queries should be more specific to technical jobs and localized vacancies.

• ChatGPT offers guidance on improving search visibility by suggesting enhancements like adding salary statistics and avoiding abstract language.

Implementing Recommendations

• The team increases citation relevance for technical job queries in Europe by enhancing backlinks and incorporating numerical data from credible sources.

• They update their article with current publication dates and local references as advised by ChatGPT, leading to improved search rankings.

Results Achieved Through Optimization

• Following these adjustments, the article begins appearing in top search results and even reaches an overview section within Google searches.

• The speaker notes that despite initial failures in ranking, implementing a checklist provided by ChatGPT led to significant improvements in organic traffic.

Will AI Replace Traditional Search?

Perspectives on AI's Impact on Search Engines

• The speaker argues that while AI tools like ChatGPT may change how articles are optimized for search engines, they will not eliminate traditional search methods entirely.

• There is a recognition that although click-through rates may decrease due to users finding answers directly through AI responses, digital marketing tools remain effective.

Monitoring Mentions in Neural Networks

• For tracking mentions related to neural networks or AI-generated content, specialized services exist; however, some may not be cost-effective.

Tools for Analytics

• Google Analytics can help track conversions from specific sources like ChatGPT since it adds identifiable tags. However, Google Overview does not capture this data effectively.

Additional Resources for Tracking Performance

• HFS can be used as a free tool to monitor organic traffic performance but requires navigating its interface carefully.

This markdown file summarizes key insights from the transcript regarding optimizing articles using AI tools like ChatGPT and discusses broader implications of AI on traditional search methodologies.

How to Optimize a New Website for Neural Networks?

Strategies for Ranking in Neural Networks

• Discussion on the importance of not removing content that may have already been viewed, as many users forget what they watched a week ago.

• Introduction of emerging services for monitoring SEO rankings, with mentions of tools like Semrush and Hrefs, highlighting their varying effectiveness and costs.

• Inquiry about how a new website can quickly rank for low-frequency queries; clarification on the term "занюханные" (low-frequency or obscure).

Content Creation Techniques

• Suggestion to utilize low-frequency queries effectively by creating structured content blocks based on user inquiries through tools like ChatGPT.

• Emphasis on the significance of using proper headings (H2, H3) and microdata to enhance content visibility in search results.

Importance of Timeliness and Uniqueness

• Noting that publishing unique content with current dates can help achieve higher rankings, especially for less competitive queries.

• Observations from past experiments indicating that even secondary low-frequency keywords can boost overall site visibility if ranked successfully.

Building Authority Through Semantic Core

• Explanation of how linking multiple articles to a single category can elevate its ranking due to perceived expertise by search engines.

• Mention that once a category gains traction, it may transition from low-frequency to medium-frequency status.

The Role of Backlinks in SEO Strategy

• Discussion on whether backlinks are necessary for neural network optimization; insights into their role depending on query competitiveness.

• Recommendations for acquiring quality backlinks from relevant sites while ensuring they generate traffic and engagement.

Traffic Generation Techniques

• Description of an experiment where timely publication combined with strategic backlinking led to improved rankings due to immediate traffic influx.

Impact of Brand Mentions Without Links

• Exploration of whether text mentions without links contribute positively to SEO; findings suggest brand citations do carry weight in search algorithms.

Tools for Content Evaluation Post-GPT Generation

• Inquiry about tools used to assess the naturalness of AI-generated texts; mention of Zero GPT as a tool but acknowledgment of limitations regarding Yandex.

Discussion on AI-Generated Content and SEO Strategies

Concerns About AI-Generated Articles

• The speaker mentions a policy of not publishing articles for their brands if more than 40% is generated by AI, indicating this as a "red flag."

• There is skepticism about the reliability of AI detection tools like Zero GPT, which may misidentify older texts as AI-generated.

• Articles fully written by AI tend to either not rank well or drop in rankings shortly after publication.

Experience with Czech Websites

• The speaker shares limited experience promoting only one project in the Czech Republic, specifically an art gallery.

• Discussion about a national search engine in the Czech Republic that holds around 20% market share, though specifics are unclear.

Link Building and Indexing Strategies

• A question arises regarding how many parallel links were used for sites utilizing AI-generated content.

• Clarification that "pragons" refers to internal linking strategies rather than mass link building through automated tools.

Indexing Practices

• The speaker emphasizes the importance of indexing new articles via Google Search Console to ensure quick visibility.

• They note that quality backlinks from reputable sources can lead to rapid indexing within minutes.

Cost Comparison Between Services

• A question is posed about whether Geo or IO services are more expensive for similar websites; the speaker finds them equivalent but acknowledges differences in service offerings across companies.

• The discussion highlights variability in pricing based on company structure and business economics, stressing that clients often do not differentiate between types of optimization services.

This structured summary captures key discussions from the transcript while providing timestamps for easy reference.

Will Neural Networks Take Traffic from Search Engines?

Impact of Neural Networks on Traffic

• The speaker believes that neural networks are already taking some traffic away from search engines, although the current percentage is small compared to traditional organic traffic.

• A survey conducted within their school shows that many students find courses through neural networks by engaging in conversational queries rather than traditional keyword searches.

• Neural networks act as sales managers in the funnel, guiding users to understand which course or instructor they need after a series of interactions.

• Research indicates that one in four e-commerce purchases in the U.S. occurs after interacting with neural networks, suggesting an increase in quality leads despite lower overall traffic compared to traditional methods.

• The effectiveness of neural networks is highlighted by comparing user engagement; those who interact with chatbots like GPT tend to make more informed decisions and purchases.

User Behavior and Information Search

• When asked about their information-seeking habits, the speaker reveals they use neural networks for 80% of their searches, indicating a significant shift towards AI-driven tools over traditional search engines.

• The speaker shares personal experiences where they have increasingly relied on neural networks for research, noting longer and more personalized queries as a result.

• They reflect on how clients initially questioned the necessity of SEO when AI tools became popular but now recognize their value alongside traditional methods.

• Users can ask specific questions about products (e.g., graphics cards), and neural networks remember past interactions, providing tailored responses unlike conventional search engines which lack long-term memory.

• The discussion emphasizes how chatbots can simplify complex tasks by retaining context and history better than standard search engines.

Advancements in AI Tools

• The potential for using databases with AI tools is discussed; users can upload extensive content (like video courses), allowing AI to summarize or extract key points efficiently without consuming excessive time.

• There’s excitement around creating personalized assistants based on models like ChatGPT that can provide relevant information based on user-uploaded data.

• The conversation touches upon innovative uses of AI for interpreting historical documents or handwritten notes, showcasing its versatility beyond just modern applications.

Discussion on AI and E-commerce Trends

Minimum and Maximum Transaction Values

• The minimum transaction value discussed is 1,200 zlotys (approximately $400), attributed to a website created for promoting AI services in Poland.

• The maximum transaction value mentioned is 4,800 euros, indicating a range of service offerings based on client needs and project scope.

Insights on AI Integration in E-commerce

• A question arises about a unified purchasing protocol for AI models that supports platforms like Shopify and Walmart; the speaker acknowledges limited experience with this topic.

• Instant checkout features in chat interfaces are highlighted as an emerging trend, allowing users to make purchases directly within chat applications.

Future of Shopping through AI

• The integration of e-commerce capabilities into chatbots could revolutionize how consumers shop online by enabling direct purchases without leaving the chat interface.

• There’s potential for significant revenue generation from commercial queries as these systems evolve to facilitate seamless transactions.

Consumer Behavior and Trust in AI

• Users may develop trust in these systems over time, leading them to make more substantial purchases through chat interfaces once they become accustomed to the process.

• Concerns are raised about traditional SEO methods becoming obsolete if consumers prefer personalized recommendations from AI-driven platforms.

Implications for Businesses and Employment

• The discussion touches on the possibility of reduced need for human sales representatives as AI can handle customer inquiries indefinitely.

• There’s acknowledgment that many jobs may be at risk due to automation, highlighting a shift in employment dynamics within retail sectors.

Closing Remarks and Opportunities

• The speaker expresses gratitude for the opportunity to share insights and mentions their agency's services aimed at helping businesses leverage neural networks effectively.

• An educational initiative called K2PL is introduced, focusing on teaching digital marketing skills tailored for immigrants.

SEO Course Launch Discussion

Plans for an SEO Course

• The speaker expresses a desire to launch an SEO course focused on neural networks, leveraging experiences gained from client work over the past year and a half in Europe.

• They aim to gather 10-15 participants at a low cost by the end of February to provide feedback on the course content, which will include recorded experiences and experiments with neural networks.

Course Content and Feedback Mechanism

• The speaker emphasizes that if the course material is easily accessible online (e.g., through Google), they will reconsider launching it. They seek valuable feedback from participants regarding their experiences and insights.

• Participants are encouraged to express interest via Telegram, with the promise of receiving comprehensive materials including real client case studies, experiment results, and useful resources like Excel templates.

Future Engagement and Storytelling

• The conversation shifts towards future interactions, with the speaker inviting further discussions on various topics while humorously suggesting they could share "scary stories" about AI developments in two years.

• A light-hearted exchange occurs about creating an appropriate atmosphere for storytelling, indicating a positive rapport between speakers.