Google updates its search algorithms thousands of times every year. Most changes are small — micro-adjustments that go unnoticed. But the last 18 months have brought something different: a structural rethinking of what search is and what it’s for. Understanding why those changes are happening is the difference between businesses that adapt and businesses that lose half their organic traffic wondering what went wrong.
Why Is Google Updating Its Search Algorithms?
The short answer: because search behaviour is changing faster than at any point in Google’s 25-year history, and its business model depends on remaining the place people go to find things online.
Google’s core revenue — over $200 billion annually — comes from advertising. That revenue is entirely dependent on people choosing to search on Google rather than anywhere else. When users start asking questions on ChatGPT, getting product recommendations from TikTok, or querying Perplexity for research answers, Google has a direct commercial problem. The algorithm updates are, at their root, Google’s response to an existential competitive threat.
But there’s a second driver that’s equally important: the quality of what people find when they search has degraded significantly. The explosion of AI-generated content from 2023 onwards flooded the web with low-value, thin articles — content that was designed to rank rather than to genuinely help. Google’s algorithms have had to evolve rapidly to detect and demote this content, while simultaneously integrating AI into its own results to remain competitive.
So the algorithm updates you’re seeing are the product of three simultaneous pressures: competitive pressure from AI search tools, quality degradation from AI-generated content, and a fundamental shift in how people expect search to work. Google isn’t updating because it can — it’s updating because the alternative is irrelevance.
What Are the Primary Reasons Google Is Updating Its Core Functions?
Breaking this down further, there are five primary reasons driving the pace and depth of change in Google’s core search functions right now.
1. The AI Content Flood
ChatGPT’s public launch in late 2022 triggered a wave of AI-generated content at a scale the web had never seen. By 2024, significant proportions of new pages being indexed were AI-written — much of it thin, repetitive, and designed to game ranking signals rather than serve users. Google’s Helpful Content System, reinforced through multiple core updates in 2024 and 2025, is its attempt to algorithmically separate content that demonstrates genuine expertise and experience from content that merely mimics the format of good content. This is a moving target: as AI writing improves, Google’s detection must improve alongside it.
2. Generative AI Integration Into Search Itself
Google isn’t just fighting AI — it’s integrating AI into search. AI Overviews (the generated summaries that appear above traditional results) were rolled out globally through 2024 and 2025. In May 2026, Google announced that Gemini 2.5 Flash would become the global default for AI Mode, making AI-generated answers the primary interface for a growing proportion of queries. The underlying algorithms that determine what traditional results rank have had to adapt to work alongside — and feed — this new AI layer.
3. Changing User Behaviour and Query Patterns
People are searching differently. Queries are getting longer and more conversational. Users expect direct answers, not just a list of links. The “zero-click” trend — where users get what they need from the SERP without visiting a page — has accelerated significantly. Google’s algorithms need to handle conversational queries, follow-up questions, and multi-step research sessions in ways that a traditional keyword-matching system simply wasn’t built for.
4. Spam and Manipulation at Scale
Link schemes, private blog networks, and AI-generated content at scale have all required Google to update its spam detection continuously. The March 2024 core update was particularly significant — it was explicitly aimed at reducing low-quality, unoriginal content in search results by around 40%, and it succeeded, with significant ranking volatility for sites that had relied on scaled content production rather than genuine expertise.
5. E-E-A-T Signal Refinement
Experience, Expertise, Authoritativeness, and Trustworthiness have been Google’s quality framework for years, but the signals used to evaluate them have evolved significantly. Author credentials, first-hand experience markers, brand entity signals, and citation patterns across the web are all being weighted more heavily. For businesses, this means that who is behind your content — and whether that’s verifiable — matters more than it ever has.
What Recent Changes Have Been Made to Google Search Results?
The last 18 months have brought more structural changes to Google’s search results page than the previous five years combined. Here’s what has actually changed and what it means:
AI Overviews and AI Mode
The most visible change is AI Overviews — the generated summaries that appear at the top of many search results. These pull from multiple sources and synthesise an answer directly in the SERP. For many informational queries, users can now get a complete answer without clicking through to any individual page. AI Mode, now powered by Gemini 2.5 Flash, takes this further: it’s a full conversational search interface that handles multi-step queries, can reference the user’s active Chrome tab as context, and generates answers that blend information from across the web.
The Removal of FAQ and How-To Rich Results
As of 7 May 2026, FAQ rich results — the expandable question-and-answer dropdowns that appeared beneath search results — have been permanently removed. Google’s rationale is that the AI layer now handles this type of query more effectively directly in the SERP. How-To rich results have been similarly restricted. This represents a significant reduction in the structured data features that were previously used to earn additional SERP real estate.
The New Multimodal Search Box
In May 2026, Google announced a new search input experience: a multimodal search box that can accept text, voice, images, and — significantly — the user’s active Chrome tab as search context. This is a fundamental expansion of what “searching” means. Users can now be on a webpage and use it as the starting point for a search query, asking questions about the content they’re viewing or finding related resources. The implications for how content is discovered and consumed are significant.
Core Algorithm Updates
Beyond the visible interface changes, Google ran multiple significant core algorithm updates in 2024 and 2025. The March 2024 update was one of the most impactful in years, specifically targeting scaled content abuse, expired domain abuse, and site reputation abuse. These weren’t tweaks — they were structural changes to how Google evaluates content quality that caused substantial ranking volatility across many sectors.
How Do Search Engine Algorithm Updates Affect Online Businesses?
The impact on businesses depends on what those businesses have been doing. For sites built on genuine expertise, quality content, and legitimate link profiles, major updates have generally been neutral to positive — quality content tends to consolidate its position as lower-quality competitors are demoted. For sites that relied on scaled content production, thin affiliate content, or link manipulation, the impact has been severe and often permanent.
But beyond individual site impacts, the structural changes to how search results look are affecting all businesses, regardless of their content quality:
- Click-through rates are falling for informational queries — when AI Overviews answer the question in the SERP, fewer users click through to source pages. This is particularly acute for informational content that used to drive significant traffic.
- Commercial and transactional queries still drive clicks — users who want to buy something, book something, or hire someone still need to click through. The impact is heavily query-type dependent.
- Brand visibility in AI answers is a new metric that matters — whether your brand or content is cited in AI Overviews is becoming as important as traditional ranking position. Some pages rank well but are never cited; others that rank lower are regularly included in AI summaries.
- Local search remains relatively stable — Google Business Profile and local pack results have been less disrupted by AI integration than organic content results. For businesses with a geographic service area, local SEO remains high-ROI.
The businesses most affected are those with large content libraries built primarily for traffic — news aggregators, affiliate review sites, and informational content hubs. The businesses least affected are those with genuine expertise, strong brand recognition, and content that demonstrates first-hand experience that AI can’t replicate.
How Does Generative AI Impact Search Results?
Generative AI is reshaping search results from two directions simultaneously, and understanding both is essential for anyone running a content strategy.
AI as a Search Feature
Google’s integration of generative AI into search — through AI Overviews and AI Mode — means that more queries are being answered by synthesised content rather than individual ranked pages. This changes the role of a “number one ranking”: it’s no longer sufficient to rank first if the AI summary draws from multiple sources and provides a complete answer without requiring a click. The new goal is to be a source that AI systems cite consistently — to be the authoritative reference that the AI draws on when constructing its answer.
Research into which pages are cited in AI Overviews shows a pattern: pages that rank well organically are more likely to be cited, but ranking alone doesn’t guarantee citation. The pages that are consistently included tend to have direct, clearly structured answers to specific questions, strong E-E-A-T signals, and structured data that makes the content machine-readable. This is why FAQ schema still matters even though FAQ rich results are gone — the schema helps AI systems parse and understand your content structure, even if it no longer triggers a visual SERP feature.
AI as a Content Production Tool
The second direction is AI as a production tool for web content. Google has consistently maintained that AI-generated content is not inherently against its guidelines — what matters is whether the content is helpful to users, not how it was produced. But in practice, the wave of generic, unedited AI content has forced Google to build better detection systems for content that lacks genuine expertise and first-hand experience.
The result is an interesting dynamic: AI-generated content that is generic, predictable, and lacks real expertise is actively being filtered out of search results, while human expertise that uses AI tools appropriately — for research, structuring, editing — continues to perform well. The quality bar is higher, not lower. The businesses that use AI to scale genuinely expert content will benefit. Those using it to scale mediocre content will see diminishing returns as detection improves.
What This Means for Your Content Strategy
The practical implications of AI’s integration into search are significant but navigable:
- Optimise for AI citation, not just ranking — structure content to answer specific questions directly, use clear headings, and implement appropriate structured data. Being the page an AI cites is the new goal.
- Invest in E-E-A-T signals — author credentials, real expertise markers, consistent brand mentions across the web, and verifiable first-hand experience all improve both traditional rankings and AI citation likelihood.
- Focus on commercial and branded content — these query types are least disrupted by AI Overviews and continue to drive clicks. Informational content needs a secondary purpose (building trust, demonstrating expertise, capturing email subscribers) beyond driving clicks alone.
- Treat AI tools as assistants, not authors — the content that gets cited has genuine insight. Use AI for research and structure; bring the expertise yourself.
- Monitor AI Overview appearances alongside traditional rankings — set up tracking for whether your pages appear as cited sources in AI Overviews. This is the metric that will grow in importance as AI Mode becomes the default interface.
The Bottom Line
Google is updating its search algorithms because the web has changed, user expectations have changed, and the competitive landscape has changed — all at the same time. The businesses that will continue to win in organic search are those that understand what’s driving the changes rather than just reacting to them.
The fundamentals haven’t changed: real expertise, quality content, strong technical foundations, and a genuine understanding of your audience. What has changed is how those fundamentals are evaluated and how the results page presents them. The algorithm is getting better at finding the real thing — and that’s ultimately good news for businesses that are the real thing.
If you’re not sure how the recent algorithm changes have affected your site, or you want to build a content strategy that’s positioned for where search is heading rather than where it’s been, get in touch. That’s exactly what I do.