These changes can also create discrepancies

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Collect data. Each SEO tool relies on different sources to provide data to its users. Some have their own databases and crawlers, others work with third-party APIs or scraped data from search engines. Depending on the source of the data and how it is collected, some tools will provide more accurate information about, for example, the network of backlinks (as Ahrefs does), others will have more up-to-date keyword data (as Semrush ). 2. Data update frequency Each of these services update their data at different intervals. This can lead to discrepancies depending on when the data is checked.


Some platforms update their data daily (Ahrefs, Semrush), others Special Data update only weekly, monthly or even less frequently. 3. Data interpretation SEO tools may have different ways of interpreting and presenting the collected data, using metrics and algorithms to determine various SEO aspects such as Keyword Difficulty, Domain Authority, Page Authority, etc. But not all measurements and not all indicators are standardized or universally accepted. An example would be Page Authority (PA), which estimates the quality and popularity.









of a page based on its backlink profile. Page Authority is not a ranking factor used by Google in ranking results. However, there is a correlation between PA score and SERP positions. SEO Data Discrepancies (4) 4. Volatility of data SEO tools face the difficult task of managing data collected from an unstable and volatile environment. Search engines are constantly changing and updating their algorithms and indexing factors.n the data provided by SEO tools. Moreover, search engines customize the results provided to users based on many factors – location, device type, language, search history, etc.