Аналитика AI присутствия бренда

Introduction to the Webinar on Website Promotion and Neural Networks

Overview of the Session

• The webinar begins with a greeting from the host, Mikhail, introducing Anna Kiseleva as the speaker.

• Anna outlines her focus for the session: tracking visibility in neural networks, analyzing it, and selecting financially suitable tools.

Speaker Background

• Anna shares her experience in SEO (Search Engine Optimization), stating she has around 10 years of experience and runs a small agency.

• She emphasizes the growing demand from clients to be present in search engine results, particularly regarding neural networks.

Tools and Services for Tracking Visibility

Discussion on Various Tools

• Anna plans to discuss several services including KO, Pixel Tools, Labrika, Ahrefs, GPT Foxion, and Srb Visibility.

• She notes that these tools are well-known but mentions new developments like Topvisor's Google AI Overview data.

Pricing Considerations

• Pricing is highlighted as a critical factor in choosing tracking services; many options can be expensive for smaller players in the SEO market.

• Specific pricing details are provided:

• KO's basic tariff is 5,300 rubles.

• Labrika offers a package at 590 rubles for one site check.

• Pixel Tools costs approximately 3,500 rubles for limited checks.

In-depth Analysis of Selected Services

Detailed Service Comparisons

• Ahrefs is described as a leader due to its comprehensive data access but is considered expensive at around 70,000 rubles.

• Simrush provides limited requests (25 queries), lacks data on certain platforms like Alice (Yandex), making it less appealing despite its features.

Evaluation of GPT Foxion and Pixel Tools

• GPT Foxion targets Russian-speaking users with competitive pricing but limits project usage to one per subscription.

• Pixel Tools emerges as a favorite due to its balance of price and quality; it allows multiple projects under one account if funded appropriately.

This structured overview captures key insights from Anna Kiseleva’s presentation while providing timestamps for easy reference.

Analysis of Tracking Services and Their Effectiveness

Overview of Tracking Services

• The discussion begins with an acknowledgment that tracking services can be expensive, yet the quality of tracking remains questionable.

• The speaker likens the effectiveness of neural network response tracking to a "roulette," indicating unpredictability in results.

• A specific project is introduced, showcasing a website with significant visibility and monthly traffic metrics.

Project Results and Insights

• Initial results from the project indicate strong performance metrics compared to other projects, highlighting 200 responses as a notable figure.

• Despite high mention counts (5,214), only 84 queries were successfully exported, raising concerns about data retrieval limitations.

• The process for setting up projects in Pixel Tools is described, emphasizing user input on brand name and activity types.

Features of Pixel Tools

• Pixel Tools provides summaries for each prompt, competitor analysis, recommendations, and source positions—features not commonly found in similar tools.

• A detailed examination of the main summary tab reveals disappointing brand mention rates across various platforms despite high query submissions.

Competitor Analysis

• The report highlights low presence rates for brands in neural network responses; this indicates potential gaps in marketing strategies.

• Users can analyze individual queries to track brand presence over time; however, findings suggest minimal visibility.

Neural Network Responses

• The competitors' tab allows users to compare brand mentions against others within their niche effectively.

• Insights reveal that many neural networks reference aggregators rather than direct clinic websites; thus, maintaining a presence on these platforms is crucial for visibility.

Sources and Insights from Neural Networks

Overview of Sources

• The "Sources" section provides a clearer view of the data, showing metrics related to specific websites and their positions. These sources are the actual URLs from which the neural network has gathered information to formulate responses.

• Metrics such as Perplexity (60%) and mentions of Yandex Alice and Google Overview are highlighted, indicating how these platforms rank in response to certain queries.

Source Listings

• A comprehensive list of all website links mentioned by the neural networks is available, categorized by Perplexity, Google Overview, and Yandex Alice. Other networks may not provide this due to varying access levels or subscription tiers.

• The position within the neural network's output is influenced by numerous factors like IP address and browsing mode (incognito), making it difficult to predict exact rankings.

Positioning Insights

• It’s suggested that focusing on ranking positions may be less important than ensuring that the neural network acknowledges your content in its responses.

• A diagram illustrates which types of websites frequently appear in responses based on user queries; for instance, service sites versus e-commerce sites can be analyzed for performance.

Recommendations from Pixel Tools

Controversial Recommendations

• The recommendations provided by Pixel Tools simplify working with neural networks but may mislead inexperienced users into thinking it's easier than it is.

Specific Recommendations

• Recommendation 1: Register your brand on Open's page requiring a LinkedIn profile. This poses challenges for users in Russia due to accessibility issues with LinkedIn.

• Recommendation 2: Users are advised to submit feedback if they do not see their brand mentioned. However, this could lead to manipulation concerns regarding search results.

Content Improvement Suggestions

• Recommendation 3: Create expert content if your brand isn't recognized. However, existing content might already be present in source tracking; thus, refining current material could be more beneficial than creating new pages.

• Recommendation 4: Seek mentions in popular sources; however, there are doubts about feasibility when competing against established brands.

Conclusion on Pixel Tools Functionality

• Overall insights suggest that while Pixel Tools offers valuable information about rankings and sources, its effectiveness varies based on market conditions and user experience.

Analysis of Labri and Pixel Tools

Comparison of Tools

• The discussion highlights that Labri is cheaper than Pixel Tools, making it suitable for initial analysis despite its limitations in providing summary tables.

• While Labri offers extensive recommendations based on basic checks, the presentation of information can be overwhelming due to its dense content format.

• Notably, there are instances where Labri may misidentify website themes or fail to find sites altogether, contrasting with other neural networks that provide accurate data.

Insights from Reports

• Key metrics from a recent site analysis show visibility rates: 3% in Alice, 7% in Perplexity, and significant mentions across various platforms including Yandex Alice and Google Overview.

• The conversion rate from neural networks is alarmingly low at 0.004%, indicating minimal effectiveness in driving traffic despite high visitor numbers.

Traffic Analysis

• It’s essential to measure traffic indicators from sources like Zoom and others that have been overlooked but still contribute to brand recognition.

• There’s a discrepancy noted where traffic transitions from search results do not accurately reflect clicks generated by neural responses.

Trends Over Time

• An observed increase in traffic since May indicates that neural responses do impact overall site visits positively.

• SEO strategies should include tracking AI mentions as they can significantly influence search engine rankings and user engagement.

Recommendations for Businesses

• Small businesses may not need expensive services; reallocating budgets towards SEO could yield better results instead.

• Basic monitoring tools are recommended for understanding performance without heavy investment; manual checks can suffice initially.

Future of Search Engines

• The speaker believes traditional search results will coexist with neural responses rather than being replaced entirely in the near future.

Future of Monitoring Services in Neural Networks

Development Trends and Competition

• The speaker discusses the evolution of monitoring services in neural networks, suggesting that while direct replacements for current systems may not occur, SEO will adapt to incorporate geo-targeting.

• Services like TopVisor are expected to integrate new features related to neural networks by mid-year, including additional reports and query tabs specifically designed for these technologies.

• Anticipation exists for a few strong players to emerge in the market, potentially squeezing out smaller competitors. These services may offer comprehensive solutions rather than just focused tracking.

Brand Management and Marketing Tools

• There is an expectation that neural network services will develop user dashboards similar to Google Search Console but aimed at users wanting to monitor brand mentions and statistics.

• The potential for subscription models offering advanced analytics is highlighted as a future trend within these platforms.

Insights on Traffic Generation from Neural Networks

• The speaker expresses interest in seeing more robust tools from platforms like Perplexity, which could enhance user interaction through various model selections.

• Mention of Bing's integration of mention tracking within its neural network indicates a shift towards providing users with more comprehensive data about their online presence.

Challenges with Current Metrics

• Concerns are raised regarding how beneficial it is for metrics providers (like Google Analytics) to display certain data since it might lead users away from traditional search engines toward social media alternatives.

Perspectives on SEO vs. Geo-Promotion

• A discussion emerges around the effectiveness of neural networks in driving traffic; currently, they yield minimal traffic compared to traditional methods due to their design focusing on answering questions rather than directing users elsewhere.

• A comment suggests that geo-promotion may be overhyped compared to standard SEO practices; the speaker argues that while geo-targeting can enhance visibility, it should complement rather than replace foundational SEO strategies.

Practical Applications and User Engagement

• The conversation touches upon practical strategies such as implementing share buttons linked with neural networks, allowing content creators to leverage AI tools effectively for broader reach and engagement.

Insights on Traffic Manipulation and Microdata

Strategies for Enhancing Website Traffic

• The speaker discusses a life hack that can help improve website traffic, suggesting that if several dozen people inquire about the site across different neural networks daily, it may yield some benefits due to the current underdeveloped anti-spam algorithms in these networks.

• A participant expresses interest in testing this idea on personal projects, indicating a willingness to experiment with various strategies despite potential risks of failure.

• The conversation shifts to discussing LM TXT as an alternative to robots.txt. The speaker notes it doesn't provide significant results but suggests enabling SEO options in WordPress as a simple step.

Utilizing Microdata for SEO

• There is mention of creating a separate document using microdata markup to describe the site's expertise and content. While not immediately impactful, it may contribute positively over time.

• The speaker emphasizes the importance of understanding microdata for better communication with neural networks and suggests using Pixel Tools to analyze commonly used microdata within specific niches.

Analyzing Page Performance

• Discussion includes analyzing page snippets from search results to identify which sections are frequently viewed by neural networks. This insight helps in enhancing those sections with more valuable information.

• Some projects have shown positive trends in user engagement from platforms like Perplexity or Alice after implementing these strategies, indicating potential effectiveness.

Future Research and Offerings

• The speaker invites viewers to follow their channel for updates on ongoing research related to microdata and mentions plans for launching a service focused on link checking soon.

• They offer consulting services for complex website issues and share insights through Telegram, highlighting their commitment to community engagement and knowledge sharing.

Cautions Regarding Microdata Implementation

• A cautionary note is shared regarding the use of "How To" and QA page microdata. It’s suggested that QA pages might manipulate search results unfavorably when applied incorrectly, particularly on commercial or blog pages rather than forums.

• After testing this type of microdata on several sites, they observed negative impacts on rankings until its removal restored previous standings, underscoring the need for careful implementation.