There’s no fixed number of blog posts required to rank on page 1 of Google; ranking depends on a complex interplay of factors, primarily content relevance, authority, and search intent, assessed by Google’s ranking systems. As of December 2025, these systems increasingly leverage AI, particularly the Gemini models integrated into Search Generative Experience (SGE), to understand content depth and user satisfaction.
Google’s ranking systems, continually updated, now include features like the Helpful Content System which prioritises content created for users, not solely for search engines. Platforms like Semrush, available to Australian businesses with localised data centres and AUD pricing, provide insights into ‘Keyword Difficulty’ – a metric estimating ranking competition. Currently, a keyword with ‘Very High’ difficulty might require consistently publishing high-quality, in-depth content (2000+ words) for 6-12 months, alongside robust off-page signals like backlinks from authoritative Australian websites (e.g., .au domains). In 2026, Google’s planned updates to SGE will further emphasise content quality and the ability to directly answer user queries, potentially rewarding fewer, more comprehensive posts over numerous shorter ones. The impact of Google Business Profile content on local search rankings also remains significant for Australian SMEs.
Ultimately, Google’s algorithms assess content based on its ability to satisfy user intent, and ranking is a dynamic process determined by continuous evaluation of these factors.
