Google Algorithm Updates: A Timeline
Last updated
Google makes thousands of algorithm changes per year. Most are minor, unannounced, and imperceptible. The ones listed here were large enough to cause measurable ranking shifts, were officially confirmed, or introduced a fundamentally new ranking signal.
2011
Panda (February 2011)
Target: Low-quality, thin, and duplicate content.
Panda assigned a site-wide quality score based on content quality. Sites with a high proportion of thin, scraped, or auto-generated content saw sitewide ranking drops, not just page-level ones. Content farms, article directories, and sites with large amounts of boilerplate text were hit hardest.
Panda was initially a filter applied periodically (every few weeks). It became part of Google’s core algorithm and began rolling out continuously in 2016.
Signal: Content must have genuine depth and utility. Thin pages drag the whole site down.
Freshness Update (November 2011)
Target: Query types that benefit from recent content.
Increased the weight of freshness as a ranking signal for queries where users expect current information: news, trending topics, recurring events. Not relevant for evergreen queries.
2012
Venice (February 2012)
Target: Local search results.
Made local results more prominent for queries with implied local intent (e.g., “plumber” without a city name), using the searcher’s location to determine relevance.
Penguin (April 2012)
Target: Manipulative link building — link schemes, paid links, low-quality directory links, exact-match anchor text over-optimisation.
Penguin penalised sites with link profiles that showed signs of manipulation. Unlike Panda (content quality), Penguin was link-focused. Sites hit by Penguin needed to remove or disavow bad links before recovery.
Penguin updates were initially infrequent (several months apart). In September 2016, Penguin became part of the core algorithm and began updating in real time — penalties and recoveries now happen as Google recrawls and reassesses links.
Signal: Links must be earned, not built. Anchor text diversity matters.
Exact Match Domain (EMD) Update (September 2012)
Target: Low-quality sites ranking purely because their domain name matched a search query.
Reduced the ranking boost from exact-match keyword domains (e.g., best-seo-tools.com) when the site had little quality to back it up. High-quality sites with keyword domains were not affected.
Page Layout (January 2012, updated October 2012)
Target: Pages with excessive above-the-fold advertising that pushed content below the fold.
2013
Hummingbird (August 2013, announced September 2013)
Target: Conversational queries and semantic search.
Hummingbird was a near-complete rewrite of Google’s core search algorithm, not a penalty or filter. It enabled Google to understand the intent behind a query rather than matching individual keywords. Introduced better handling of long-tail, conversational, and question-based queries.
Signal: Write for topics and intent, not individual keyword strings.
Payday Loan (June 2013)
Target: Highly spammy queries — payday loans, pharmaceuticals, gambling — where results were dominated by manipulative tactics.
2014
Pigeon (July 2014)
Target: Local search quality and distance signals.
Significantly changed how Google ranked local results, tying local ranking more closely to core web ranking signals. Businesses with stronger overall web presence and proximity to the searcher saw changes.
HTTPS as a ranking signal (August 2014)
Google confirmed HTTPS as a lightweight ranking signal, encouraging the adoption of SSL. Now essentially a baseline requirement — HTTP sites are flagged as insecure in Chrome and are at a disadvantage.
Panda 4.0 (May 2014)
A major Panda refresh that affected a larger proportion of queries than previous updates. eBay and Ask.com were widely cited as large-scale casualties.
2015
Mobilegeddon / Mobile-Friendly Update (April 2015)
Target: Mobile usability. Pages that failed Google’s mobile-friendly test were demoted in mobile search results.
The first major update to split rankings by device. Effectively made mobile usability a ranking requirement for mobile search. A second wave rolled out in May 2016.
RankBrain (announced October 2015, rolled out earlier)
Target: Query interpretation for ambiguous or never-seen-before queries.
RankBrain is a machine learning component that interprets queries Google has not seen before (a significant proportion of daily searches). It maps unfamiliar queries to known concepts to produce relevant results.
Google described it as the third most important ranking signal at time of announcement. It is now part of the core ranking infrastructure rather than a distinct “update.”
Signal: Optimise for topic relevance and user satisfaction, not exact keyword strings.
2016
Possum (September 2016)
Target: Local search — specifically, filtering duplicate local listings and improving results for searchers near the business but outside city limits.
Made Google’s filter for near-duplicate local business listings more aggressive. Businesses with similar names or at similar addresses saw listings filtered from map packs.
Penguin 4.0 (September 2016)
Penguin became real-time and part of the core algorithm. Links Google considers spammy are now devalued rather than triggering a site-wide penalty. Recovery from Penguin no longer requires waiting for the next update cycle.
2017–2018
Fred (March 2017)
Unofficial name for a core update targeting sites prioritising revenue over user value — thin affiliate content, heavy ad-to-content ratios, content existing primarily to generate ad impressions.
Broad Core Updates become regular (2018 onwards)
From 2018, Google began officially confirming “broad core algorithm updates” multiple times per year. These are updates to the core ranking systems that can affect any site or query type. Google’s guidance: sites that drop after a core update have not been penalised — Google’s assessment of what constitutes quality has shifted.
Medic Update (August 2018)
Unofficial name for a broad core update with disproportionate impact on health, finance, and legal sites — YMYL (Your Money or Your Life) categories where low-quality information could harm users.
Widely attributed to increased weight on E-A-T signals (Expertise, Authoritativeness, Trustworthiness). Authors, credentials, and organisational reputation became more visible ranking considerations for YMYL content.
2019
BERT (October 2019)
Target: Natural language understanding, particularly for complex queries.
BERT (Bidirectional Encoder Representations from Transformers) enabled Google to better understand context in search queries — the relationship between words in a query, not just the words themselves. Particularly effective for prepositions and nuance: “parking on a hill with no curb” had previously returned generic parking results; BERT understood the specific scenario.
Initially applied to one in ten English queries. Now applied more broadly and in multiple languages.
Signal: Write naturally. Context and clarity matter more than keyword density.
2020
Passage Ranking (announced October 2020, rolling out 2021)
Google can now rank individual passages from a page for queries that match a specific section, even if the page as a whole is not the most relevant for the broader topic. Affects approximately 7% of queries.
Core Updates (January, May, December 2020)
Three confirmed broad core updates in 2020, with the May update producing some of the largest ranking volatility observed that year.
2021
Page Experience / Core Web Vitals (June–September 2021)
Google added Core Web Vitals (LCP, FID, CLS) as ranking signals, combined with existing page experience signals (HTTPS, mobile-friendly, no intrusive interstitials). Rollout confirmed complete in September 2021.
A confirmed ranking factor but described as a tiebreaker — relevant content with poor page experience can still rank above fast content that is less relevant.
Spam Updates (June and November 2021)
Targeted link spam and web spam more broadly. Worked in conjunction with SpamBrain, Google’s AI-based spam detection system.
MUM (Multitask Unified Model)
Google announced MUM, a multimodal AI model significantly more capable than BERT. MUM can process text, images, and video simultaneously. Used selectively for complex queries and in features like Shopping and Search.
2022
Product Reviews Update (March 2022, and subsequent updates)
Targeted product review content. Rewarded reviews demonstrating first-hand experience — original photos, specific performance data, comparisons with similar products. Generic affiliate reviews written without hands-on use were demoted.
Multiple refreshes followed throughout 2022 and 2023, eventually consolidated into core updates.
Helpful Content Update (August 2022)
Target: Content created primarily for search engines rather than humans.
Introduced a site-wide classifier that identifies sites with a high proportion of “unhelpful” content — content written to match search queries without providing genuine value. Sites classified as producing primarily unhelpful content saw sitewide ranking impacts, not just on the unhelpful pages.
The signal became a component of Google’s core ranking system. Subsequent core updates incorporated HCU signals.
Signal: Write for people, not crawlers. Content that exists solely to rank is exactly what this targets.
Link Spam Update (December 2022)
Expanded SpamBrain’s ability to detect and neutralise purchased links and large-scale link schemes. Google claimed the update nullified “unnatural links at scale.”
2023
March 2023 Broad Core Update
Significant ranking volatility, particularly for health, finance, and news content. Ran concurrently with a Product Reviews Update.
August 2023 Broad Core Update
Notable for unusually large and prolonged volatility. Some sites that had recovered from the HCU saw further drops.
October 2023 Spam Update
Targeted scaled content abuse, site reputation abuse, and expired domain abuse as spam tactics. Ran concurrently with the October 2023 core update.
November 2023 Core Update
Product Reviews signals consolidated into the core algorithm rather than running as separate updates.
2024
March 2024 Broad Core Update
One of the most significant updates in recent years. Incorporated the Helpful Content Update classifier directly into the core algorithm. Included new spam policies targeting scaled content abuse (mass AI-generated content), site reputation abuse (third-party parasite SEO), and expired domain abuse.
The update ran for approximately 45 days and produced large-scale ranking changes, including significant drops for sites that had relied on AI-generated content at volume.
August 2024 Broad Core Update
Described by Google as correcting over-corrections from March. Several sites that had dropped in March saw partial or full recovery. Ran for approximately two weeks.
Patterns across updates
Several consistent themes across Google’s named updates:
Quality over quantity. Every major content update (Panda, Helpful Content, March 2024) has penalised volume-focused content strategies and rewarded depth and genuine usefulness.
Manipulation gets devalued, not just penalised. Since Penguin 4.0, spammy links are devalued rather than triggering manual penalties. The shift is from reactive penalty to proactive neutralisation.
E-E-A-T has grown in importance. From the Medic update onwards, demonstrable expertise and first-hand experience have become more explicitly relevant — particularly for YMYL content.
AI content is not intrinsically penalised. Google has repeatedly stated that AI-generated content is not penalised if it is helpful and high-quality. What the March 2024 update targeted was scaled, undifferentiated AI content produced without editorial judgement.
Page experience is table stakes. Core Web Vitals are a confirmed ranking factor but rarely the primary explanation for a ranking drop. Fix them, but look to content and links first.