aggregated anchor text report on screamingfrog 20 Practical Benefits: Anchor Text Diversity: Ensure a natural distribution of anchor texts to avoid over-optimization.
High Carbon Rating Identification: Pages with high emissions are flagged in the ‘Validation’ tab.
Mobile Usability In today’s mobile-
first world, ensuring a seamless mobile user experience is imperative. Version 20.0 introduces extensive mobile usability audits through Lighthouse integration. With an ever-increasing number of users accessing websites via mobile devices, ensuring a seamless mobile experience is crucial. Google’s mobile-first indexing highlights the importance of mobile usability, which directly impacts your site’s rankings and user experience.Tab: This tab includes filters for regular mobile usability issues such as viewport settings, tap target sizes, content sizing, and more.
Granular Issue Details: Detailed data on
mobile usability issues can be explored in the ‘Lighthouse Details’ tab. Bulk Export Capability: Export comprehensive mobile usability reports via `Reports > Mobile`. Setup: Connect to the PSI API through `Config > API Access > PSI` or run Lighthouse locally. Example Use Cases: Identify pages where content does not fit within the viewport.
Flag and correct small tap targets and
illegible font sizes. mobile usability analysis on screamingfrog 20 With these new features, Screaming Frog SEO Spider version 20.0 streamlines the process of auditing mobile usability, making it more efficient and comprehensive. By integrating with Google Lighthouse, both via the PSI API and local runs, the tool provides extensive insights into the mobile performance of your website.
Addressing these issues not only enhances
user experience but also belarus phone number library improves your site’s SEO performance. N-grams Analysis N-grams analysis is a powerful new feature that allows users to analyze phrase frequency across web pages. This can greatly enhance on-page SEO efforts and internal linking strategies. Setting Up N-grams: Activate HTML storage by enabling ‘Store HTML’ or ‘Store Rendered HTML’ under `Config > Spider > Extraction`. View the N-grams in the lower N-grams tab. n-grams analysis on screamingfrog 20 Example Use Cases: Improving Keyword Usage: Adjust content based on the frequency of targeted N-grams.
Optimizing Internal Links: Use N-grams to
identify unlinked keywords and create new internal links. Internal Linking Opportunities: The N-grams feature provides a nuanced method for discovering internal linking opportunities, which can significantly enhance your SEO strategy and site navigation.
The introduction of N-grams analysis in
Screaming Frog SEO Spider create an internal analysis? follow these 4 steps (with example) version 20 provides a tool for deep content analysis and optimization. By understanding the frequency and distribution of phrases within your content, you can significantly improve your on-page SEO and internal linking strategies. Aggregated Anchor Text Effective anchor text management is essential for internal linking and overall SEO performance. The aggregated anchor text feature in version 20.0 provides clear insights into how anchor texts are used across your site. Using Aggregated Anchor Text: Navigate to the ‘Inlinks’ or ‘Outlinks’ tab. Utilize the new ‘Anchors’ filters to see aggregated views of anchor text usage.
Descriptive Linking: Replace generic
texts like “click here” with hin directory keyword-rich alternatives. The aggregated anchor text feature provides powerful insights into your internal link structure and optimization opportunities. This feature is essential if you are looking to enhance your site’s internal linking strategy for better keyword relevance, user experience, and search engine performance. Carbon Footprint & Rating Aligning with digital sustainability trends, Screaming Frog SEO Spider version 20.0 includes features to measure and optimize your website’s carbon footprint. Key Features: Automatic CO2 Calculation: The SEO Spider now calculates receives a rating based on its emissions, derived from the Sustainable Web Design Model.