Итоги GEO-эксперимента Envybox: как бренд начал попадать в ответы нейросетей
Introduction to the Experiment
Overview of the Project
- Roman Kovalev introduces himself as a co-owner of an advertising agency and founder of the Tuna Java service, discussing an experiment in promoting the NVBX brand through neural networks.
- The NVBX company offers a platform for creating quizzes, lead generation forms, online chats, and has its own CRM system.
Previous Episodes
- Kovalev mentions previous episodes that detail their step-by-step process in this promotional experiment.
- He indicates that they will summarize results achieved over two months since starting promotion efforts.
Report Analysis
Achievements and Challenges
- The report outlines 89 queries sent to neural networks, with 37 instances where NVBX was cited as a source.
- The brand appears in text responses from neural networks 53% of the time, indicating positive visibility growth.
Visibility Trends
- A graph shows increasing visibility for NVBX across different neural networks; some perform better than others.
- Despite some negative trends in brand visibility compared to earlier periods, there is still overall growth from an initial 20% to 53%.
Insights on Neural Network Responses
Variability in Results
- Kovalev discusses discrepancies between API responses and live browser searches due to fewer sources being included in API data.
- Strategies include manually checking sources or targeting top trusted resources for better representation.
Content Strategy
- A content plan initially consisted of twenty articles but expanded further; links to these materials will be shared for reference.
Competitive Analysis
Brand Positioning
- Comparison with competitors reveals that while NVBX is frequently mentioned, it faces tough competition within the CRM niche against established players like Bitrix24.
Market Dynamics
- In areas like quizzes and online chats, NVBX competes effectively against direct rivals but struggles with historical weight in CRM systems due to insufficient content volume.
Search Engine Performance
Source Citations
- Discussion on how Gigachat's indexing challenges affect visibility; it's advised not to rely heavily on it until improvements are made.
SEO Insights
- Some keywords show improved rankings while others lag behind; ongoing adjustments are necessary for optimal performance.
Traffic Metrics
Current Traffic Status
- Despite producing twenty articles over two months, traffic remains low; quality must be balanced with quantity for effective SEO outcomes.
Future Projections
- Anticipated increases in traffic are expected as new content begins indexing more effectively by search engines.
Conversion Rates
Engagement Metrics
Despite low traffic volumes from neural network sources, conversions are occurring at a higher rate than general informational traffic. This suggests users arriving via these channels may be more engaged or prepared to convert.
Exploring Various Response Formats in Search Engines
Overview of Search Engine Variants
- The speaker discusses different response formats in search engines, emphasizing that having a website is not the only factor for visibility.
- There are studies showing overlaps between Bing and Google, particularly how ChatGPT retrieves information from top-ranking sources.
Insights on AI and Information Retrieval
- The effectiveness of neural networks is highlighted when processing long queries by breaking them down into simpler informational or commercial requests.
- The intent behind a query is more crucial than its length; even short prompts can yield significant results.
Best Online Tools for Quiz Creation
Recommended Platforms
- NVBX and MarkQuiz are noted as leading tools for quiz creation, with emphasis on their conversion rates.
- A personal article by Roman Kovalev on Habr discusses various tools, including NVBX, showcasing its credibility as a content platform.
Importance of Content Quality
- Habr is recognized as a valuable UGC platform where quality articles can be published across diverse topics beyond IT.
- Users are encouraged to contribute high-quality content while adhering to editorial policies to maximize reach.
Utilizing Google and Other Platforms for Lead Generation
Effective Strategies
- The speaker mentions using platforms like NVBX for quick connections with employees through lead generation quizzes.
- Emphasizes the importance of UGC platforms like Workspace for publishing informative articles related to quiz creation.
Recommendations for Engagement
- Registering on popular platforms such as Workspace is advised due to their high traffic and citation rates in AI responses.
Analyzing Audience Engagement Metrics
Understanding Article Performance
- Discussion about tracking article views over time reveals patterns in audience engagement based on internal metrics from Habr.
Conversion Tracking
- Insights into how users interact with multiple links within search results highlight opportunities for increased site traffic through effective content marketing strategies.
Leveraging Multiple Touchpoints in Content Marketing
Maximizing Brand Visibility
- The potential of gaining multiple touchpoints through strategic content placement within search results is discussed, enhancing brand presence online.
Importance of Contextual Advertising
- Contextual advertising can further amplify visibility if executed alongside organic search strategies.
Recommendations for Content Creation Platforms
Suggested Platforms
- A list of recommended platforms includes Habr, SEO News, and others that support quality content publication across various themes.
Final Advice
- Emphasis on creating high-quality content rather than mediocre submissions; poor quality will not benefit readers or improve SEO performance.