How Google works (the simplified version)

Google's ranking algorithm considers hundreds of signals, but the core aim is consistent: rank pages that best answer the user's query. The primary signals include: relevance (does the page address the query?), authority (does the page have credibility and expertise signals?), quality (is the content genuinely useful, accurate and well-presented?), and user signals (do people click, stay on the page and not return to search for a better answer?). The algorithm updates continuously and significant changes are released several times per year.

The helpful content context

Google's "helpful content" updates (2022-2023) were a significant intervention: they aimed to reduce the ranking of content that exists primarily to rank in search rather than to help real users. Sites with significant proportions of thin, keyword-stuffed or AI-generated-without-human-insight content have faced ranking declines. The surviving and thriving content is characterised by demonstrated expertise, first-person experience, genuine depth and clear relevance to a specific user need.

Backlinks (links from other sites to yours) remain among the most significant ranking signals — Google's public statements consistently confirm this. However, link quality has always mattered more than quantity, and the bar for what constitutes a quality link has risen. Links from genuinely relevant, authoritative sites in your topic area carry far more weight than links from generic directories or sites that appear to exist primarily to sell links.

The AI search threat

Google's AI Overviews (the AI-generated summaries at the top of many search results pages) and dedicated AI search tools like Perplexity are changing the search landscape. For many informational queries, AI Overviews provide an answer directly, reducing clicks to the underlying sites. Sites that have historically relied on informational traffic may see organic traffic decline. The response strategies include: targeting transactional and commercial intent queries (where users need to go somewhere to act), building community and direct audience through email, and providing depth and expertise that AI summaries cannot fully replicate.