🎙 SEO + ИИ: Как променять шланг на вайбкодинг

Introduction to Romain Michalchuk's Journey

Early Career and Transition

• Romain shares his experience of working at a car wash after initially pursuing a career in programming and software testing.

• He reflects on the evolving nature of SEO, emphasizing the need for experimentation and adaptability in strategies.

• Romain encourages the use of neural networks in SEO, suggesting that even basic questions can yield significant insights.

Guest Introduction

• The host introduces Romain Michalchuk as an expert who has been involved with neural networks before they became mainstream, particularly for SEO tasks.

• The conversation is framed as a casual discussion over coffee, focusing on SEO and neural networks without a predetermined agenda.

Romain's Background and Education

Academic Path

• Romain discusses his educational background as a physics and astronomy teacher but expresses a desire to study applied mathematics instead.

• He reveals his passion for programming from an early age, which continued through university.

Career Beginnings

• After struggling financially post-university, he took up various jobs including warehouse work due to insufficient knowledge for tech roles.

• In 2014, he moved to Moscow seeking better job opportunities but faced challenges when promised wages were not met.

Challenges Faced in Early Jobs

Job Experience in Moscow

• Romain recounts being underpaid at DPD warehouse where workers received significantly less than expected.

• He leveraged connections made through online gaming to find new employment after being let down by his initial job.

Shift to New Opportunities

• A friend helped him secure work at an internet shop selling fireworks, leading to substantial earnings during the holiday season.

Moving Forward: Life Changes and New Directions

Relocation Decisions

• After moving back to St. Petersburg and working again at a car wash, he eventually relocated to Kazan with family support.

Skills Development

• While working at the car wash, colleagues recognized his technical skills prompting him to assist with computer-related tasks beyond washing cars.

Job Search and Early Career Experiences

Initial Job Search Challenges

• The speaker reflects on their early job search, mentioning how they were questioned about their presence at a particular location, indicating a sense of confusion or surprise from others.

• They express frustration over being overlooked for opportunities, stating, "Блин, меня никуда больше не берут" (translated: "Damn, no one else is hiring me").

Interview Experience

• The speaker recalls attending an interview with Legend Group in Kazan around 2014-2015 where they were asked standard questions related to HTML and Excel.

• They describe their first task as somewhat trivial—collecting data using Wordstat and transferring it to Excel without the benefit of modern tools that simplify this process.

Transition to Freelancing

• After reaching a plateau in their job role while working with multiple clients, the speaker negotiated a better payment structure with one client to work exclusively for them.

• Initially earning around 10,000 rubles per month as a junior employee, they later increased their salary to approximately 30-35,000 rubles after gaining experience.

Learning and Development

• The speaker shares an anecdote about discovering an inspiring figure online who offered valuable insights compared to previous webinars they attended which felt unhelpful.

• They mention watching courses that provided practical advice on SEO strategies and found them significantly more beneficial than other resources available at the time.

Financial Decisions Regarding Education

• Despite financial constraints at the time of enrolling in a course led by the inspiring figure mentioned earlier, they decided to invest in it by borrowing money from family.

• The speaker reflects on not knowing about alternative funding options like group purchases for educational materials when making this investment.

Career Growth Limitations

• They discuss feeling stuck in their career due to limited growth opportunities within their workplace where knowledge levels among colleagues were similar.

• Working primarily in niche areas such as magic and astrology limited the application of new skills learned from courses; however, they continued developing additional skills like Photoshop and CSS.

Career Journey and Community Engagement

Transition to a New Company

• The speaker discusses their move to a new company in Chuvashia, expressing a desire for official employment status but faced challenges due to residency in Kazan.

Building Connections

• The speaker mentions forming friendships with colleagues, including a friend who introduced them to group purchasing (складчины), highlighting the importance of networking.

Monthly Meetups and Knowledge Sharing

• Regular monthly meetings are organized with former colleagues to discuss SEO updates and share insights, fostering community engagement.

Learning and Mentorship

• The speaker recalls taking an additional course and reaching out for mentorship, leading to collaborative learning experiences with Anton, who provided tasks for skill development.

Becoming a Moderator

• After demonstrating interest in teaching and helping others, the speaker became one of the first moderators in Anton's community, actively answering questions and contributing to projects.

Growth Through Community Involvement

Continuous Learning

• Engaging with community questions allowed the speaker to enhance their own skills while assisting others, emphasizing mutual growth through collaboration.

Passion for Technology

• The speaker expresses enthusiasm for working with various technologies like Modrix and WordPress, showcasing their proactive approach in seeking solutions online.

Contribution of Educational Content

• By creating educational videos based on findings from research, the speaker aimed to provide value back to the community while sharing unique insights.

Optimizing Processes

Feedback on Course Improvements

• The speaker contributed significantly by providing feedback on course processes that led to enhancements in content delivery methods used by Anton.

Different Approaches to Problem-Solving

• A contrast is drawn between the speaker’s innovative mindset focused on optimization versus Anton’s preference for established methods that work reliably despite being slower.

The Value of Automation

Embracing Change

• The discussion highlights how automation has transformed workflows; the speaker advocates for continuous improvement over maintaining existing systems without change.

Personal Motivation

• The drive behind optimizing processes stems from personal enjoyment; simplifying tasks not only benefits efficiency but also enhances job satisfaction.

This structured summary captures key discussions from the transcript while linking each point back to its corresponding timestamp for easy reference.

How to Integrate Excel with Xmind and Python Programming

Initial Experience with Excel and Xmind

• The speaker describes their process of integrating data into Excel, applying formulas for highlighting, and ultimately transferring the results to Xmind. They emphasize the effort spent researching formulas to achieve a visually appealing output.

Introduction to Python Programming

• The speaker recalls being influenced by various videos about the necessity of knowing Python for SEO professionals. They mention starting a free course on Python but only completing a couple of lessons.

Discovering ChatGPT

• After minimal exposure to programming basics, the speaker discovers ChatGPT (version 3.0). They express excitement about its ability to generate code snippets in response to queries.

Reaction to ChatGPT's Capabilities

• The speaker shares their astonishment at how quickly ChatGPT could provide answers compared to traditional methods of searching through forums. This experience felt like discovering a "holy grail" or magic tool for coding assistance.

Transition from Learning Python to Using AI Tools

• The speaker reflects on questioning the need for learning Python when they could simply request scripts from ChatGPT. They began asking for specific scripts in both Python and JavaScript.

Content Generation Techniques

• While working with software tools, the speaker preferred self-sufficiency over relying on brokers or copywriters. They utilized an extractor tool that combined multiple articles into one coherent piece for client websites.

Evolving Content Strategies

• The speaker explains their approach of using competitor texts as templates, translating them through various languages, and checking uniqueness before posting them online. This method proved effective in achieving high search rankings.

Integration with WordPress

• As they became more proficient, they started using WordPress plugins that allowed bulk importing of content via CSV files, enabling rapid site development with numerous pages filled with text.

Collaboration on Software Development

• Upon discovering improvements in newer versions of ChatGPT (3.5), the speaker collaborated with a developer friend to create software that generated content based on structured guidelines provided by the speaker.

Final Thoughts on AI Tools in Content Creation

• The collaboration led to developing a new software tool called XGPT Writer which integrated AI capabilities into content generation processes while also allowing users access at low costs during its initial launch phase.

Content Generation and Automation Techniques

Development of Content Generation Software

• The speaker discusses the initial development of content generation software that saved data in CSV format, which was later imported to websites. This process led to the creation of readable articles, referred to as DDL or "Darve for people."

• As the community around this software grew, users began contributing ideas, transforming it into a comprehensive tool that included various features like info articles and image parsing.

Integration with WordPress

• The software evolved to allow direct imports into WordPress, enabling users to generate and publish articles seamlessly. This integration marked significant progress in content automation.

Interaction with ChatGPT

• The speaker shares experiences using ChatGPT via API, noting that text quality was often inferior compared to using the interface due to preset configurations enhancing output quality.

• An extension for managing interactions with ChatGPT was developed. Users could input article outlines, which the extension would then use to sequentially generate text based on each point.

Script Development and SEO Strategies

• While continuing script development in Python, the speaker utilized ChatGPT for coding assistance. They implemented pagination strategies where each page represented a different city for client websites.

• A specific approach involved creating multiple pages targeting different cities (e.g., "buy hamsters" variations), which initially attracted inquiries from those locations but were later deemed impractical by clients.

Optimization Techniques for E-commerce Sites

• The speaker describes optimizing product categories by bulk editing titles through a simple interface. This method allowed them to enhance semantic relevance without altering individual product pages significantly.

• By integrating keywords directly into product names within specific categories, they achieved better visibility while maintaining original details on product pages.

This structured approach highlights key developments in content generation technology and practical applications in SEO strategies discussed throughout the transcript.

Experiments in SEO and Google Merch

Client Experiments and GSON Markup

• The speaker discusses conducting experiments on client websites with their consent, leading to improved rankings.

• A special window was created for inserting GSON markup specifically for Google, enhancing the display of product ratings and price ranges in search results.

Success with Google Merchant

• The speaker shares a successful experience of creating a product feed for Yandex using a WordPress plugin, which required Python adjustments for CSV formatting.

• After successfully uploading the feed to Yandex, the speaker discovered that it could also be submitted to Google, resulting in increased calls and orders from clients.

Landing Page Strategies

• The speaker expresses enthusiasm for working with landing pages despite common beliefs that they cannot rank well.

• They aimed to rank landing pages in competitive spaces where none existed in the top 30 results, experimenting against conventional wisdom.

SEO Experimentation and Current Trends

• Discussion on experimenting without traditional methods (like PFa), suggesting potential success through quality backlinks generated by AI tools.

• Emphasis on continuous experimentation in SEO practices rather than adhering strictly to established norms or dogmas.

Changing Perspectives on Text Optimization

• The speaker highlights a shift regarding spammy links; previously considered harmful, some low-quality sites are now ranking well due to changing algorithms.

• They note that both text optimization and link strategies have led to significant ranking improvements across various projects.

Evolving Content Strategies

• There is an observed trend towards increasing text content on commercial sites contrary to past advice advocating minimal text usage.

• The current strategy involves adding more textual content across all types of websites, leading to positive growth metrics.

Automation and Content Generation Techniques

• The speaker mentions moving away from traditional copywriting towards automated content generation techniques like spintax for efficiency.

• They recall using spintax formats combined with automation tools to generate diverse content efficiently.

Transcript Summary Insights on Automation and Business Strategies

Automation in Content Creation

• The speaker discusses their experience with generating large texts by embedding variables instead of service titles, which allowed for the creation of unique content across multiple pages.

• They utilized a program to automate the generation of 150 unique texts, effectively streamlining the process of content creation for WordPress sites.

• The speaker expresses skepticism about copywriters, noting that modern AI can generate quality text from simple prompts more efficiently than traditional methods.

Community Engagement and Networking

• The conversation shifts to the importance of being part of communities focused on software development and website creation, highlighting networking as a key aspect of business growth.

• The speaker reflects on their early experiences in a growth group where they compared earnings with others, prompting them to rethink their approach to client acquisition.

Client Acquisition Strategies

• They mention that most clients come from community connections, emphasizing ongoing relationships with both new and old clients from social media platforms like VK.

• The speaker has diversified their business model by creating websites for lead generation or sale, including niches like septic services and auto buying.

Shift Towards Affiliate Marketing

• There is a discussion about moving towards affiliate marketing due to its appealing nature; it allows tracking traffic without dealing with typical client-related issues such as performance drops.

• The speaker prefers this model over traditional client work because it simplifies operations and reduces stress related to client demands.

Ethical Marketing Practices

• A distinction is made between ethical (white hat) marketing practices versus aggressive tactics used by some marketers. The speaker focuses on providing value through community engagement rather than direct selling.

• They emphasize helping others as a way to attract clients organically rather than pushing sales aggressively.

Approach to Advertising and Client Relationships

• The speaker notes that they do not engage heavily in advertising; instead, they prefer subtlety in promoting their services through case studies without overt calls-to-action.

• While acknowledging that some may criticize this approach for potentially limiting client acquisition, the speaker remains unconcerned as they prioritize working with partners over chasing new clients.

This structured summary captures key insights from the transcript while linking back to specific timestamps for further exploration.

The Growth of Non-Commercial Blogs

Insights on Blogging and Community Engagement

• The speaker reflects on the failure of business-oriented blogs, noting that all such blogs they have seen collapse. They highlight a successful Telegram channel run by Romka, which has thrived for years because it was not created as a commercial project.

Personal Experiences with Content Creation

• A humorous anecdote is shared about Kirill Ramire's initiative involving neural networks, suggesting that the speaker may have previously banned him from their platform.

• The speaker expresses their enjoyment in reading others' content and their desire to create similar posts, indicating a background in producing video content within a closed VK community.

Launching New Initiatives

• Inspired by Kirill's project, the speaker considers launching something similar after seeing its popularity but initially doubts its potential interest.

• They collaborate with an individual named Jimbo to start a new initiative called "Reality on Neural Networks," where they commit to daily updates about their progress.

Development of Content Strategy

• The speaker shares how they chose the theme "SEO Drift" for their channel based on personal interests in gaming and drifting culture.

• They consistently posted updates for two months, generating images and documenting their activities, which ultimately led them to maintain the channel long-term.

Outcomes and Learnings from the Initiative

• The main outcome of this reality project was establishing a consistent content creation habit. They also mention having created educational videos related to website development on YouTube.

• Various topics covered included article generation and site creation strategies; however, some platforms like Yandex Zen posed challenges due to strict moderation policies.

Value of Non-Commerical Focus

• The speaker reiterates that success stems from creating valuable content without commercial intent. Their focus remains on sharing useful observations and insights with followers.

Current Projects and Tools Development

• Currently engaged in parsing data for exchanges as part of developing tools for personal use within their secret community.

Tool Development Journey

• Discussion shifts towards tool development initiated during spring 2025 when manual donor search methods were deemed inefficient.

• A collaborative effort emerges around building software capable of processing large datasets more effectively using Python programming language.

Challenges Faced During Development

• Initial attempts at using neural networks faced limitations regarding data processing capacity; thus, batch processing became necessary.

Project Evolution Over Time

• As discussions continue about tool development timelines, it becomes clear that initial ideas evolved significantly through collaboration over several months.

This structured summary captures key themes discussed throughout the transcript while providing timestamps for easy reference back to specific moments in the conversation.

Exploring Neural Networks and Python Libraries

Initial Thoughts on Neural Networks

• The speaker reflects on a previous conversation about neural networks, noting their variability in output.

• They express a preference for free solutions over constant requests to neural networks, leading them to consider existing Python libraries tailored for the Russian language.

Experimenting with Python Libraries

• The speaker researched and identified three or four suitable libraries, beginning to write scripts to test each one.

• During a vacation in Crimea, they ran a script overnight to extract visibility data from websites using these libraries.

Data Extraction Process

• The extraction process took approximately 36 hours, during which they faced limitations that required changing IP addresses due to bans from the source site.

• After refining timing settings, they successfully gathered data for analysis upon returning from vacation.

Insights on Website Proximity and Relevance

• The discussion shifts towards community insights regarding website proximity and thematic relevance; the speaker wanted to test these claims personally.

• They mention an experiment where five links resulted in significant ranking improvements despite varying thematic relevance.

Link Effectiveness and SEO Strategies

• The speaker emphasizes that any link can be effective in Google rankings regardless of its thematic alignment or language.

• However, they note that low-quality links require significantly higher quantities to yield results compared to high-quality thematic links.

Balancing Quality and Quantity of Links

• A comparison is made between using numerous low-quality links versus fewer high-quality ones; both strategies can lead to growth but differ in risk levels.

• Emphasizing safety, the speaker suggests prioritizing relevant sites for long-term stability against potential future algorithm changes by Google.

Development of a Tool for Data Collection

• Discussion transitions into how the initial idea evolved into a tool that aggregates donor databases effectively.

• Over three weeks, challenges arose while developing scripts capable of extracting comprehensive data from various sources without being blocked by platforms.

Complexity in Script Development

• Initially aiming for simplicity with basic scripts led them toward more complex solutions that could gather extensive parameters from exchange platforms.

Data Collection and Automation Techniques

Transition to Temper Monkey for Data Scraping

• The speaker transitioned to using Temper Monkey after gaining experience with writing scripts in JavaScript, specifically for data scraping from exchanges.

• Initially, the script worked well but eventually caused browser crashes due to accumulating large amounts of data. This led to the need for splitting files into smaller chunks.

File Management and Automation Process

• The automation process involved logging into exchanges, setting filters in a table, and starting the script which saved data automatically in CSV format.

• Additional Python scripts were created to remove duplicates from collected data files, streamlining the final output into a single file ready for analysis.

Challenges in Data Collection

• The speaker faced challenges gathering specific metrics like DR (Domain Rating) from Ahrefs and needed additional scripts to collect missing information.

• A purchase of ZennoPoster was made to utilize proxies effectively for collecting approximately 20,000 DR values necessary for their dataset.

Overcoming Technical Hurdles

• The speaker initially struggled with CAPTCHA challenges while using Temper Monkey but later combined it with an auto-clicker solution that proved unstable.

• After consulting a colleague familiar with ZennoPoster, they successfully gathered all required data over three weeks despite initial setbacks.

Insights on Data Complexity

• Collecting data from exchanges revealed numerous complexities beyond simple scraping; internal workings often complicate straightforward extraction efforts.

• The desire to share comprehensive datasets with subscribers added layers of complexity as more detailed information was sought beyond basic listings.

Advanced Scripting Solutions

• Specific issues arose when trying to extract AJAX-loaded content from certain exchanges where essential information wasn't directly available through initial scripts.

• A new approach involved creating a script that could interactively capture dynamic content by targeting specific elements on web pages during scraping sessions.

Final Automation Steps Using Python

• Eventually, parts of the project were migrated to Python utilizing Playwright for browser automation, allowing smoother execution of tasks such as logging in and filtering data efficiently.

• Despite some instances of being temporarily banned by Google due to aggressive scraping practices, the overall automation process became more streamlined and effective.

Linking Data and Indexing Strategies

Overview of Current Progress

• Discussion on the challenges faced with small limits set for faster data processing, leading to some delays in integration.

• Confirmation that the team has successfully connected all sources and filled the necessary data through KSO.

Efficiency in Data Retrieval

• Highlighting a streamlined process where users can quickly generate a list of sites for link building, even without deep knowledge of the field.

• Mention of significant price differences between platforms, emphasizing the importance of cost-effective options in link placement.

Importance of Indexing Frequency

• Acknowledgment of issues related to article indexing; emphasis on needing to check how frequently donor sites index content.

• Unique approach discussed regarding ensuring links are indexed naturally rather than relying solely on indexation tools.

Quality Indicators for Donor Sites

• Introduction of visibility as a key indicator for assessing donor site quality; higher visibility correlates with better indexing potential.

• Explanation that donor ratings consist of multiple factors, including visibility and other metrics contributing to overall quality assessment.

Dynamic Visibility Tracking

• Comparison between different visibility tracking tools; KO provides more current data compared to outdated systems like Bukvariks.

• Plans to introduce new variables into their system that will track changes in site visibility over time, allowing for better analysis.

Enhancements in Data Extraction Techniques

• Insights into improvements made during data extraction processes from various platforms, including SEMR collaboration for enhanced insights.

• Discussion about historical data retrieval capabilities being integrated into parsing scripts for comprehensive analysis.

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

Discussion on Website Evaluation and Automation

Evaluating Website Performance

• The first variable discussed is the growth or decline of a website, assessing its overall state and how search engines perceive it.

• A visual assessment of the website's donor quality is also considered, indicating whether it's high-quality or mediocre.

Automation Ideas for Website Analysis

• The conversation shifts to using scripts in Python to automate the evaluation process by screening websites and sending data to neural networks for analysis.

• There’s a proposal to create a script that can handle thousands of websites efficiently, leveraging neural networks for visual ratings.

Challenges with Implementation

• Potential challenges include dealing with website security measures that may hinder automated access; collaboration with experienced individuals in this area is suggested.

• The discussion emphasizes the importance of writing effective scripts and prompts for analysis while acknowledging possible technical hurdles.

Advice for SEO Specialists

• As the podcast nears its conclusion, advice is sought for SEO specialists who are not yet utilizing automation or neural networks in their work.

• A practical starting point involves asking simple questions to neural networks about website design elements like color schemes and layout improvements.

Engaging with Neural Networks

• It’s recommended to begin interactions with neural networks by posing basic queries similar to those one might ask a mentor or team leader.

• Users should compare responses from multiple neural networks to validate information, enhancing their understanding and application of AI tools in their workflows.