GEO или как попасть в выдачу нейросетей

Name: GEO или как попасть в выдачу нейросетей
Uploaded: 2026-01-22T01:46:09.000Z
Duration: 2 h 42 min 11 s

Introduction to the Second Season of Neuro Workshop

Opening Remarks

The host welcomes viewers and announces the start of the second season, expressing optimism for a more engaging experience compared to the previous year.

There are technical issues with streaming on YouTube, but the host reassures that they will resolve it while focusing on their main content.

Guest Introduction

The host introduces Roma, a friend and colleague who co-owns an agency called Kovalёvy.

Roma confirms his audio and video connection, indicating he is ready to participate in the discussion.

Discussion on GEO and Content Marketing

Insights from Previous Discussions

Roma recently participated in a two-hour live session discussing GEO (Geolocation-based marketing), emphasizing its relevance in current marketing strategies.

He highlights how large brands evaluate proposals from advertising agencies regarding GEO implementation.

Importance of Content in Marketing

The conversation shifts towards SEO and how neural networks are becoming increasingly significant in digital tools.

Recent trends show search engines like Google may replace traditional search results with chat interfaces powered by AI, changing user interaction dynamics.

The Role of Neural Networks in Advertising

Agency's Adaptation to Trends

Roma discusses creating a dedicated department within his agency focused on leveraging neural networks for content marketing.

He emphasizes that successful outcomes depend heavily on quality content as neural networks rely on credible sources for generating responses.

Tool Development for Efficiency

Roma mentions developing a tool named "Tsunami" aimed at streamlining internal processes related to content creation and optimization for better engagement with neural network outputs.

Content Creation Strategy

Practical Application of Concepts

The session will focus on creating an article designed to achieve specific results while exploring various underlying reasons behind chosen topics throughout the process.

Media Sphere Promotion Strategy

Introduction to Media Sphere Page

The speaker introduces the concept of promoting a media sphere page, initially hesitant but later recognizing its potential value for sharing insights and case studies.

A content marketer named Ira suggests launching a blog on the promotional page to share useful information, prompting further discussion.

Project Setup and Analysis

The project begins with establishing a basic site structure for analysis, focusing on key pages that need promotion or analysis.

Two main types of pages are identified: informational and commercial. This distinction aids in understanding how AI can analyze content effectively.

Importance of Content Analysis

Analyzing existing articles is crucial for competitive analysis; it helps identify strong competitor content that could inform future strategies.

The current focus is on promoting a commercial page offering services, emphasizing the importance of targeted content uploads.

Brand Queries and AI Responses

Adding brand queries is essential for analyzing AI responses, helping track if the brand appears in search results generated by neural networks.

There are two types of interactions with neural networks: direct brand inquiries (e.g., company recommendations) and thematic searches (e.g., general information).

Content Creation Strategy

The goal is to create articles that serve as reliable sources for AI responses, ensuring visibility in search results when users seek information about promotional pages.

Emphasizing unique content creation across various platforms enhances credibility and increases chances of being cited by neural networks.

Multi-channel Presence

Achieving presence across multiple channels—neural network responses, contextual advertising, and traditional search—is highlighted as an effective strategy.

The speaker notes that while clicks from these sources may not be distinctly categorized by platforms like Yandex or Google, they still contribute to overall visibility.

Conclusion on Content Types

Two primary content types are reiterated: self-promotion through informative articles versus competitive positioning without directly naming competitors due to ethical concerns.

How to Effectively Utilize Trustworthy Platforms for Content Placement

Importance of Quality Platforms

Articles can be ordered from bloggers and ratings, and placed on reputable platforms like Habr, V.ru, Kosa, and Rating Runet. It's crucial that these platforms are high-quality, verified, and trustworthy.

Yandex's Zen is highlighted as a well-indexed platform for content placement.

Analyzing Presence in Neural Network Responses

The primary task is to analyze the presence of domains frequently referenced by neural networks when users ask questions. For example, banks.ru often appears when users inquire about banking cards or deposits due to its trustworthiness.

Different thematic resources dominate based on user queries; for cooking-related inquiries, sites like povarenok.ru and Dzen are more prevalent.

Strategic Content Placement

Even if a thematic site does not typically cover certain topics (e.g., cooking), placing an article there (like RBC for egg recipes) can still yield positive results.

To ensure brand visibility in responses from neural networks, it’s essential to publish content on trusted resources rather than solely relying on personal blogs.

Marketing Insights

Classic marketing principles apply; one can write guest posts on various platforms without maintaining their own blog. However, conversion rates may vary based on the platform used.

Commercial queries may sometimes yield results from less frequent searches; thus, strategic placement is key even for niche topics.

Understanding Information vs. Commercial Queries

Most informational queries lead to neural network responses while commercial queries receive fewer direct answers. This distinction highlights the need for diverse content strategies across different types of requests.

The effectiveness of appearing in search results relies not just on one article but also on the overall reputation and mentions across multiple credible sources.

Building Brand Recognition

To ensure specific names or brands appear prominently in responses (e.g., "who talks best about Dzen"), extensive quality content must be created across various platforms.

A project should begin with scanning relevant pages to gather data about themes and keywords that will guide future content creation efforts effectively.

Utilizing Analytical Tools

Scanning tools help analyze web pages to generate synthetic keywords necessary for effective SEO strategies. This process is vital for understanding how to position oneself within competitive markets.

Insights on Neural Networks and Search Engines

The Role of Keywords in Neural Networks

Neural networks utilize synthetic methods to track user presence in responses, generating keywords based on page analysis that users might input.

Current search systems do not provide statistics on how often certain topics or queries are requested, leading services to generate diverse keywords for analysis.

Analyzing Responses from Neural Networks

By analyzing multiple sources, it is understood that even slight changes in queries can still yield relevant responses from neural networks due to their limited variability.

Most neural networks rely on search engines; they gather information by querying these systems rather than using independent indices.

Sources of Information for Neural Networks

When neural networks reference external sources like ChatGPT or GigaChat, it indicates they have searched the web for information and synthesized it into a final response.

Different models such as Gemini and Claude use various search engines (e.g., Google, Brave), with some having their own indices while others correlate closely with Google results.

SEO Strategies and Indexing

SEO practices now include registering clients with Bing to ensure indexing there, despite minimal traffic compared to Google. This helps maintain visibility across different platforms.

Page health assessments involve checking technical aspects like loading speed and metadata (title/description), which influence SEO performance.

Content Analysis and Recommendations

The evaluation of pages differs between informational and commercial content; commercial pages focus on market factors while informational ones assess credibility and relevance.

Tools analyze the reliability of claims made on pages by providing links for verification, enhancing the overall trustworthiness of content presented online.

SEO Strategy Development

Analyzing Requests and Keywords

The discussion begins with analyzing requests, emphasizing the importance of selecting a promotion region for effective SEO strategy development.

It is noted that there are no geographical restrictions for the business in Russia, allowing for broader keyword selection.

The focus shifts to identifying key informational keywords relevant to promoting a blog, such as "how Yandex promo pages work" and "how to set up analytics."

Selecting and Adding Keywords

A suggestion is made to select all proposed keywords at once, with an option to manually add any additional queries of interest.

The speaker raises concerns about demand for selected keywords, noting that current neural networks do not provide statistics until commercial advertising is introduced.

Frequency Checking and Position Verification

To gauge demand, the speaker suggests using Wordstat to check keyword frequency; if people search for these terms online, they may also be queried by neural networks.

There’s a need to verify positions in search engines like Yandex and Google, aiming not only for visibility in neural network responses but also traditional search traffic.

Collecting Additional Keywords

The process involves gathering additional keywords related to primary queries through Wordstat, which helps form a comprehensive list of potential search terms.

These additional keywords are crucial as they can lead to increased traffic by capturing long-tail searches associated with main topics.

Evaluating Keyword Relevance

The speaker discusses evaluating keyword relevance based on their frequency; low-frequency terms may indicate less popular topics requiring extensive semantic analysis.

Emphasis is placed on filtering out irrelevant or low-performing keywords from the list while retaining those deemed necessary for future content development.

Analyzing Neural Network Responses

Transitioning into analyzing responses from neural networks, the speaker highlights the importance of tracking brand visibility through specific URLs and domains within their project framework.

Scanning Neural Networks for Data Insights

Initiating the Scan

The process begins with scanning requests selected from previous steps across various neural networks, aiming to save time despite higher costs.

Users can manually check specific URLs or initiate a comprehensive scan across all neural networks simultaneously.

Understanding Different AI Models

Distinctions are made between Yandex GPT and Yandex AI; the former is a standalone model while the latter provides search responses.

The data collected is based on official APIs, ensuring that it reflects average statistics without personal account history influencing results.

Analyzing Source Overlap

The analysis reveals how different sources and content intersect, highlighting similarities in information provided by various neural networks.

A practical observation shows that overlapping sources often lead to similar content in responses, which can be tracked through top domains listed at the bottom of results.

Evaluating Response Quality

Each green checkmark indicates an available response, with accompanying numbers representing the quantity of sources identified within those answers.

Users can delve deeper into individual responses to assess source credibility and keyword relevance.

Challenges in Data Accuracy

There are concerns about potential inaccuracies in data provided by neural networks; ongoing efforts aim to ensure only reliable sources are cited.

Internal debates arise regarding how to request accurate sourcing from AI systems while navigating their inherent limitations.

Exploring Content Sources

Specific examples of prominent sources include Skillbox and Wikipedia, both recognized for their reliability but also subject to editorial challenges.

Discussions highlight Wikipedia's status as a credible source for Google searches despite its complex editing processes.

Strategic Publishing Insights

Analysis of frequently appearing resources allows users to identify optimal platforms for publishing content effectively.

Various platforms like Unicender and VC.ru are discussed regarding their trustworthiness and accessibility for new contributors.

Agency Insights and Content Strategy

Overview of Agencies and Platforms

Discussion on various agencies, including Ashmanov and Skillbox, highlighting their roles in the industry.

Mention of e-commerce websites as a means to establish an online presence by placing content on personal sites.

Importance of Analytics in Content Presence

Emphasis on the need for analytics to track brand presence across platforms like Perplexity and ChatGPT.

The goal is to ensure that your website or article appears as a source of information, enhancing visibility.

Brand Tracking and Content Creation

Explanation of how to monitor brand mentions through search queries related to company promotions.

Importance of writing articles that include specific keywords related to the brand for better tracking.

Utilizing Analytics Tools

Introduction of features like "Show Dynamics" which provide statistics on brand mentions and site performance.

Reference to using Yandex.Metrica for tracking analytics effectively within promotional pages.

Content Planning Strategies

Transition into content planning, emphasizing the creation of a structured content plan using tools like Tuna.

The process involves generating topics based on data from search engines and neural networks, focusing on high-frequency keywords.

Content Generation and Expert Integration

Importance of Expert Involvement

The discussion emphasizes the need to enhance product promotion by integrating expert opinions into content creation.

Articles can be authored under an expert's name or a company profile, adding credibility and authority to the content.

Content Planning Process

The integration of experts is not for topic generation but for creating technical specifications (TЗ) within a content plan framework.

Mass generation of TЗ and topics allows for selecting multiple keywords, which is crucial when dealing with extensive semantic fields.

Focus on Quality Over Quantity

There’s a caution against mass production in content creation; quality should be prioritized over sheer volume.

Emphasis on focusing on one theme at a time ensures depth and thoroughness in content development.

Technical Specifications Generation

Generated topics include various statuses such as type, relevance, and internal workflow stages, aiding in organized project management.

Users have the option to create custom topics if generated suggestions do not meet their needs, allowing flexibility in content direction.

Utilizing AI Tools Effectively

The process involves generating articles based on effective advertising strategies while analyzing data like status and relevance percentages.

A significant step includes generating technical tasks tailored for different AI platforms like Perplexity or GPT models based on top-ranking content from search engines.

Challenges with Aggregated Technical Tasks

There are technical challenges associated with sending large amounts of data to neural networks due to token limits in API requests.

Users must strategically choose which neural networks to focus on for optimal traffic results; both Yandex and Google are highlighted as primary sources.

Conclusion: Navigating Content Creation Landscape

Understanding how different platforms generate traffic is essential; leveraging ChatGPT may yield unique benefits that differ from traditional search engine optimization.

Understanding Semantic Analysis in Content Generation

The Role of Semantic Analysis

Discussion highlights the importance of semantic analysis for both Yandex and Google, emphasizing that quality content is foundational to effective search engine optimization.

Generating Content with AI

A question arises about the underlying technology used for topic analysis and generation, specifically mentioning Perplexity as a key model.

The conversation reveals that Sonar is integrated with Perplexity, indicating a collaborative approach to enhance content generation capabilities.

Team Structure and Responsibilities

There’s an inquiry about whether specific departments or individual employees should handle content generation; it suggests flexibility in roles, including SEO specialists who are well-versed in topics.

Emphasis on training editors to understand neural networks indicates a shift towards empowering staff with technical knowledge for better content creation.

Publishing Strategies

The necessity of publishing articles on one's own site versus third-party sites is discussed. It depends on the goals—informational keywords should ideally be placed on personal sites while brand-related terms can be published elsewhere.

Promotion and Visibility Tactics

A humorous mention of promotional codes leads into a discussion about referral systems and their impact on user engagement within platforms.

The Impact of Citation Frequency on Search Rankings

Correlation Between Positioning and Citations

Insights shared regarding how citation frequency correlates with search rankings reveal that higher positions receive more citations, but there’s also significant visibility potential from lower-ranked pages if they provide quality content.

Quality Over Positioning

The discussion concludes that even non-top-tier websites can gain traffic through high-quality, trustworthy content despite not being highly ranked in search results.

Optimizing Commercial Pages for User Queries

Strategies for Effective Query Responses

To effectively appear in responses generated by neural networks for commercial queries, it's essential to optimize commercial pages according to traditional SEO practices.

Understanding SEO and Neural Networks in E-commerce

The Importance of Content for Search Engines

A dedicated page for a specific product, like pizza delivery in South Butovo, can enhance visibility through search engines and neural networks.

Even top-ranking sites may not be cited by neural networks if they lack comprehensive information, such as clear pricing details.

Insufficient information on a webpage can lead to lower citation rates from neural networks, favoring pages with complete data including specifications and reviews.

Strategies for Small Businesses

Small companies are not limited in their ability to rank; even those positioned lower can still be recognized by neural networks.

Competing on a federal level is challenging, but local businesses can dominate niche markets with effective content strategies.

Technical Assignments and Competitor Analysis

A technical assignment should include detailed analysis of competitors' content strategies rather than just business competition.

Understanding the strengths and weaknesses of competitor articles helps refine one's own content strategy.

Content Structure and Requirements

The creation of technical assignments involves specifying word counts, paragraph lengths, and other structural elements based on competitor analysis.

Effective content must align with what neural networks consider credible; this includes adhering to average lengths found in successful articles.

Why Are Banner Ads Effective?

Understanding Promo Pages and Their Advantages

Discussion on the effectiveness of banner ads and the concept of promo pages, highlighting their primary benefits.

Mention of case studies showing a 70% reduction in costs, emphasizing that figures may be sourced or generated by AI.

Importance of customizing data to fit individual business needs, including budget adjustments.

Steps to Launch Advertising Campaigns

Overview of essential steps for launching an ad campaign: registration, content strategy, targeting, budgeting, launching, monitoring, and optimization.

Presentation of a case study demonstrating a threefold increase in efficiency while maintaining budget levels.

Key Metrics for Evaluating Effectiveness

Introduction to key metrics such as CPA (Cost Per Acquisition), with suggestions for creating a corresponding table for clarity.

Emphasis on targeting settings and where ads are placed; importance of brand page visibility.

Content Requirements and Recommendations

Guidelines on media content requirements based on analysis; recommendations include image sizes and types like screenshots and infographics.

Suggestions for SEO optimization including title tags and internal linking strategies to enhance conversion rates.

Final Checklist for Unique Content Creation

Discussion about ensuring uniqueness through automated checks using tools like Tektru; importance of quality content generation.

Clarification that text is generated in full at once but involves multiple iterations during the editing process.

Addressing Concerns About AI-generated Content

Acknowledgment of potential issues when relying solely on AI-generated cases without human editorial input throughout all stages.

Plans to incorporate features allowing users to upload existing briefs into the system for better integration with AI capabilities.

Differentiating Services in the Market

Inquiry into how Tuna differs from similar services like PRSU; emphasis on unique features combining traditional methods with neural network analysis.

Explanation that while it’s possible to conduct analyses independently without Tuna, its integrated approach simplifies the process significantly.

Semantic Analysis Tools

Discussion about checking keyword relevance within collected semantics using Tuna versus other tools available in the market.

Discussion on Automated Analysis Tools

Overview of Frequency and Automation

The frequency mentioned is integrated via an API through Arsenkin, emphasizing transparency in the process. It allows for automated and efficient mass checking of keys.

GPT Fox analyzes the presence of responses from neural networks but does not provide guidance on what or how to write, focusing instead on brand presence dynamics.

Competitor Analysis and Tools

Mentioned competitors like Pixel Tools focus on analyzing brand presence in neural network responses, highlighting a gap in actionable writing advice.

There’s a suggestion to enhance illustrations with proper alt text and micro-markup as they impact ranking positively.

Case Studies and Implementation Challenges

The speaker lacks published case studies related to their implementation through Tuner, indicating a need for more documented success stories.

They recently integrated text implementations into Tuner at the end of December, with articles already being indexed by search engines.

Growth Through Content Creation

The speaker notes that engaging in content creation has attracted larger companies previously out of reach due to their small agency size.

An increase in NDAs (Non-disclosure agreements) reflects growing interest from significant brands, complicating operations for smaller agencies.

Pricing Structure for Content Development

Discussion about pricing reveals that creating technical specifications (TЗшки) costs around 150 rubles each, with additional analysis fees leading to a total cost of approximately 300 rubles per personalized specification.

The speaker expresses skepticism about subscription models for accessing services but emphasizes flexibility in spending based on needs.

Market Comparison and Value Proposition

A comparison indicates that while some companies charge significantly more (around 4,000 rubles), the speaker aims to keep prices competitive while ensuring quality service delivery.

They highlight that their pricing is based on operational costs rather than market competition, aiming for affordability without compromising quality.

Limitations and Future Developments

There are discussions about limitations within Tuner regarding text length capabilities; texts up to 20,000 characters can be processed effectively.

Concerns are raised about producing high-quality articles based solely on technical specifications without editorial oversight or refinement processes.

Final Thoughts on Article Quality

The conversation concludes with skepticism regarding the ability to create substantial articles purely from provided specifications without human editorial input.

Content Generation with Neural Networks

The Role of Neural Networks in Content Creation

The speaker emphasizes that generating content using neural networks should primarily serve as a draft or foundational structure for articles, rather than relying on the output as final material.

A course titled "Neurocopywriting" is mentioned, where the speaker reiterates that experts in their fields can effectively use neural networks to assist in content creation, enhancing their expertise rather than replacing it.

An anecdote is shared about creating numerous articles for a client using neural networks; however, only one out of ten articles was deemed successful due to lack of review by the client, highlighting potential pitfalls in automated content generation.

The conversation concludes with a light-hearted acknowledgment of successfully adhering to time constraints during the discussion.