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25 Biggest Moments in Search, From Helpful Images to AI

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Biggest Moments in Search

Here’s how we’ve made Search more helpful over 25 years — and had a little fun along the way, too.

When Google first launched 25 years ago, it was far from the first search engine. But quickly, Google Search became known for our ability to help connect people to the exact information they were looking for, faster than they ever thought possible.

Over the years, we’ve continued to innovate and make Google Search better every day. From creating entirely new ways to search, to helping millions of businesses connect with customers through search listings and ads (starting with a local lobster business advertising via AdWords in 2001), to having some fun with Doodles and easter eggs — it’s been quite a journey.

For our 25th birthday, we’re looking back at some of the milestones that made Google more helpful in the moments that matter, and played a big role in where Google is today. Learn more about our history in our Search Through Time site.

2001: Google Images

When Jennifer Lopez attended the 2000 Grammy Awards, her daring Versace dress became an instant fashion legend — and the most popular query on Google at the time. Back then, search results were just a list of blue links, so people couldn’t easily find the picture they were looking for. This inspired us to create Google Images.

2001: “Did you mean?”

“Did you mean,” with suggested spelling corrections, was one of our first applications of machine learning. Previously, if your search had a misspelling (like “floorescent”), we’d help you find other pages that had the same misspelling, which aren’t usually the best pages on the topic. Over the years we’ve developed new AI-powered techniques to ensure that even if your finger slips on the keyboard, you can find what you need.

2002: Google News

During the tragic events of September 11, 2001, people struggled to find timely information in Search. To meet the need for real-time news, we launched Google News the following year with links to a diverse set of sources for any given story.

2003: Easter eggs

Googlers have developed many clever Easter eggs hidden in Search over the years. In 2003, one of our first Easter eggs gave the answer to life, the universe and everything, and since then millions of people have turned their pages askew, done a barrel roll, enjoyed a funny recursive loop and celebrated moments in pop culture.

One of our earliest Easter eggs is still available on Search.

2004: Autocomplete

Wouldn’t it be nice to type as quickly as you think? Cue Autocomplete: a feature first launched as “Google Suggest” that automatically predicts queries in the search bar as you start typing. Today, on average, Autocomplete reduces typing by 25% and saves an estimated over 200 years of typing time per day.

2004: Local information

People used to rely on traditional phone books for business information. The web paved the way for local discovery, like “pizza in Chicago” or “haircut 75001.” In 2004, Google Local added relevant information to business listings like maps, directions and reviews. In 2011, we added click to call on mobile, making it easy to get in touch with businesses while you’re on the go. On average, local results in Search drive more than 6.5 billion connections for businesses every month, including phone calls, directions, ordering food and making reservations.

2006: Google Translate

Google researchers started developing machine translation technology in 2002 to tackle language barriers online. Four years later, we launched Google Translate with text translations between Arabic and English. Today, Google Translate supports more than 100 languages, with 24 added last year.

2006: Google Trends

Google Trends was built to help us understand trends on Search with aggregated data (and create our annual Year in Search). Today, Google Trends is the world’s largest free dataset of its kind, enabling journalists, researchers, scholars and brands to learn how searches change over time.

2007: Universal Search

Helpful search results should include relevant information across formats, like links, images, videos, and local results. So we redesigned our systems to search all of the content types at once, decide when and where results should blend in, and deliver results in a clear and intuitive way. The result, Universal Search, was our most radical change to Search at the time.

2008: Google Mobile App

With the arrival of Apple’s App Store, we launched our first Google Mobile App on iPhone. Features like Autocomplete and “My Location” made search easier with fewer key presses, and were especially helpful on smaller screens. Today, there’s so much you can do with the Google app — available on both Android and iOS — from getting help with your math homework with Lens to accessing visual translation tools in just a tap.

2008: Voice Search

In 2008, we introduced the ability to search by voice on the Google Mobile App, expanding to desktop in 2011. With Voice Search, people can search by voice with the touch of a button. Today, search by voice is particularly popular in India, where the percentage of Indians doing daily voice queries is nearly twice the global average.

2009: Emergency Hotlines

Following a suggestion from a mother who had a hard time finding poison control information after her daughter swallowed something potentially dangerous, we created a box for the poison control hotline at the top of the search results page. Since this launch, we’ve elevated emergency hotlines for critical moments in need like suicide prevention.

2011: Search by Image

Sometimes, what you’re searching for can be hard to describe with words. So we launched Search by Image so you can upload any picture or image URL, find out what it is and where else that image is on the web. This update paved the way for Lens later on.

2012: Knowledge Graph

We introduced the Knowledge Graph, a vast collection of people, places and things in the world and how they’re related to one another, to make it easier to get quick answers. Knowledge Panels, the first feature powered by the Knowledge Graph, give you a quick snapshot of information about topics like celebrities, cities and sports teams.

2015: Popular Times: We launched the Popular Times feature in Search and Maps to help people see the busiest times of the day when they search for places like restaurants, stores, and museums.

2016: Discover

By launching a personalized feed (now called Discover) we helped people explore content tailored to their interests right in the Google app, without having to search.

2017: Lens

Google Lens turns your camera into a search query by looking at objects in a picture, comparing them to other images, and ranking those other images based on their similarity and relevance to the original picture. Now, you can search what you see in the Google app. Today, Lens sees more than 12 billion visual searches per month.

2018: Flood forecasting

To help people better prepare for impending floods, we created forecasting models that predict when and where devastating floods will occur with AI. We started these efforts in India and today, we’ve expanded flood warnings to 80 countries.

2019: BERT

A big part of what makes Search helpful is our ability to understand language. In 2018, we introduced and open-sourced a neural network-based technique to train our language understanding models: BERT (Bidirectional Encoder Representations from Transformers). BERT makes Search more helpful by better understanding language, meaning it considers the full context of a word. After rigorous testing in 2019, we applied BERT to more than 70 languages.  Learn more about how BERT works to understand your searches.

2020: Shopping Graph

Online shopping became a whole lot easier and more comprehensive when we made it free for any retailer or brand to show their products on Google. We also introduced Shopping Graph, an AI-powered dataset of constantly-updating products, sellers, brands, reviews and local inventory that today consists of 35 billion product listings.

2020: Hum to Search

We launched Hum to Search in the Google app, so you’ll no longer be frustrated when you can’t remember the tune that’s stuck in your head. The machine learning feature identifies potential song matches after you hum, whistle or sing a melody. You can then explore information on the song and artist.

2021: About this result

To help people make more informed decisions about which results will be most useful and reliable for them, we added “About this result” next to most search results. It explains why a result is being shown to you and gives more context about the content and its source, based on best practices from information literacy experts. ‘About this’ result is now available in all languages where Search is available.

2022: Multisearch

To help you uncover the information you’re looking for — no matter how tricky — we created an entirely new way to search with text and images simultaneously through Multisearch. Now you can snap a photo of your dining set and add the query “coffee table” to find a matching table. First launched in the U.S., Multisearch is now available globally on mobile, in all languages and countries where Lens is available.

2023: Search Labs & Search Generative Experience (SGE)

Every year in Search, we do hundreds of thousands of experiments to figure out how to make Google more helpful for you. With Search Labs, you can test early-stage experiments and share feedback directly with the teams working on them. The first experiment, SGE, brings the power of generative AI directly into Search. You can get the gist of a topic with AI-powered overviews, pointers to explore more and natural ways to ask follow ups. Since launching in the U.S., we’ve rapidly added new capabilities, with more to come.

As someone who’s been following the world of search engines for more than two decades, it’s amazing to reflect on where Google started — and how far we’ve come.

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PIAFo Leads Urgent Push for National Dig-Once Policy

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PIAFo 2026

Key players across Nigeria’s digital economy, telecommunications, and infrastructure ecosystem are set for the National Dig-Once Policy Forum to champion a new course towards increasing Nigeria’s digital backbone network to 125,000km of fibre-optic infrastructure.

The event, which marks the 8th edition of Policy Implementation Assisted Forum (PIAFo), is a high-level industry dialogue aimed at accelerating the formulation and adoption of a National Dig-Once Policy as a critical enabler of safe, coordinated and cost-effective fibre infrastructure deployment in the country.

The forum, themed Accelerating Nigeria’s Digital Backbone: Dig Once Policy, Project BRIDGE and Strategies for Effective Fibre Deployment, is slated for Thursday, April 16, 2026, at Radisson Blu Hotel, Ikeja GRA, Lagos.

According to the organisers, Business Metrics Limited (BML), the introduction of the $2 billion Project BRIDGE initiative by the Federal Government to expand fibre infrastructure by an additional 90,000km from 35,000km to 125,000km by 2030 requires some new measures to ensure the successful implementation of the ambitious target and avoid mistakes of the past.

Industry stakeholders have identified that the success of a national connectivity backbone rollout depends largely on institutionalising a Dig Once Policy framework, which encourages the installation of fibre ducts and conduits whenever roads, railways, and other major public infrastructure are being constructed or rehabilitated.

According to industry data shared by the Nigerian Communications Commission, lack of such a framework is taking a toll on the telecoms sector and broadband drive as operators recorded over 50,000 fibre cut incidents across the country in 2024, with more than 60 per cent occurring during road construction and rehabilitation activities. These disruptions have resulted in billions of naira in repair costs, network outages, and service degradation.

Telecom operators in Lagos State alone said they spent over N5 billion in 2024 to repair and replace damaged fibre infrastructure in the state, while lamenting that the development continues to slow down network upgrade and expansion drive.

Beyond infrastructure damage, telecom operators also face challenges such as high Right of Way (RoW) charges, uncoordinated civil works, and repeated excavation of roads for fibre deployment.

PIAFo 8.0 aims to address these challenges by fostering collaboration among stakeholders responsible for planning, financing, constructing, and maintaining Nigeria’s digital infrastructure.

Specifically, the forum seeks to align federal, state, and local infrastructure planning around a unified Dig-Once framework; strengthen collaboration between telecom operators, infrastructure companies, and public works authorities; translate policy intentions into actionable guidelines and implementation timelines; and build stakeholder support for Project BRIDGE and complementary national fibre initiatives.

Speaking about the event, Team Lead at Business Metrics Limited, Omobayo Azeez, said Nigeria is being denied access to the robust connectivity it should derive from up to eight high-capacity undersea cable networks landed on its shores because of difficulties around terrestrial fibre infrastructure expansion.

“The Project BRIDGE initiative should excite everyone because of its ambitious targets. But for those who understand the operating terrain and why it took the industry over 20 years to achieve around 35,000km of fibre network that the country currently operates for broadband connectivity, the project calls for a major shift in execution approach with the adoption of a National Dig-Once Policy as the starting point.

“PIAFo, now in its 8th edition, is again serving as the viable platform for representatives from government ministries and agencies, senior telecom executives, infrastructure companies, data centre operators, equipment manufacturers, state governments, and industry associations to chart the way forward.”

The forum will feature keynote addresses, expert panel discussions, and strategic networking sessions designed to drive pragmatic outcomes that will accelerate Nigeria’s journey toward a resilient and inclusive digital economy.

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Nigeria, Finland Strengthen Ties on Digital Economy

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Digital Economy Policy

By Adedapo Adesanya

The Nigerian government and the Republic of Finland have formalised a strategic partnership on digitalisation and innovation, signing a Memorandum of Understanding (MoU) aimed at expanding economic activities and strengthening cooperation in the digital sector.

The agreement was signed in Abuja by the Minister of Communications, Innovation and Digital Economy, Mr Bosun Tijani, and Mr Jarno Syrjälä, Under‑Secretary of State (International Trade) at Finland’s Ministry for Foreign Affairs.

According to a statement from the Special Assistant on Media and Communications to the communications minister, Mr Isime Esene, the MoU will establish a framework for collaboration across key areas, including digital government, emerging technologies, digital public infrastructure, cybersecurity, innovation ecosystems, and capacity building.

Mr Tijani described the signing as “an important step in strengthening the partnership between both countries as we work to build a more inclusive, innovation-driven digital economy.”

“This agreement is a significant next step following our engagements in Helsinki in February, where we met with key stakeholders, including Finnvera and Finnfund, and held productive discussions on advancing collaboration around digital infrastructure, the Data Exchange Platform, and opportunities for Finnish participation in Project Bridge.”

The Minister emphasised that the partnership would “unlock meaningful opportunities for both countries, enabling us to leverage digital transformation as a catalyst for sustainable growth and shared prosperity.”

Echoing this optimism, Mr Syrjälä said: “Finland is very pleased to deepen its partnership with Nigeria in building resilient, secure, and human‑centric digital societies. Digitalisation is at its best when it empowers people, strengthens trust, and creates new opportunities for innovation.”

“Nigeria is a key partner for Finland in Africa, and this MoU provides a strong basis for concrete cooperation between our governments, institutions, and private sectors. Together, we can advance digital solutions that are interoperable, future‑fit, and beneficial to both our nations,” he added.

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Meta Launches AI Support Assistant on Facebook, Instagram

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Meta AI Support Assistant

By Aduragbemi Omiyale

New Artificial Intelligence (AI) tools designed to provide support for users of its applications have been launched by Meta.

The AI Support Assistant will work on the Facebook and Instagram apps, the company said in a statement.

The tools will help users to receive reliable and action-oriented assistance when needed.

In December, the Meta AI support assistant, a tool designed to provide reliable, 24/7 support for nearly any support issue at any time, was previewed.

Now, Meta is rolling it out globally on the Facebook and Instagram apps for iOS and Android, and within Help Centre on Facebook and Instagram on desktop, with even more capabilities and ways to help.

The new Meta AI support assistant is designed to help resolve account problems from start to finish. It offers answers for any question, like notification settings or new features, and can also take action for users on a growing set of requests directly within Facebook and, in the future, on Instagram.

The feature can report scams, impersonation accounts, or problematic content, make it easier to see why content was taken down, provide appeal options, track what happens next, manage privacy settings, reset passwords, and update profile settings.

The Meta AI support assistant can respond to requests typically in under five seconds, dramatically reducing wait times compared to traditional help centre searches or seeking answers on external websites.

“The Meta AI support assistant is a major step in our work to deliver stronger support on our apps. In fact, among people who have provided feedback, the majority report a positive experience with the Meta AI support assistant. It’s rolling out now in all languages supported by Facebook and Instagram for support topics.

“We’re continuing to invest in AI- powered tools to make support more accessible, reliable, and effective — and we’ll keep evolving the Meta AI support assistant as more people use it and as the technology advances, so it continues to improve over time,” the organisation disclosed.

Meta has also deployed AI to improve content enforcement to help users reduce the chance that scammers trick people into giving away their login details, ultimately finding and mitigating 5,000 scam attempts per day that no existing review team had caught before.

Meta said over the next few years, it would be deploying these more advanced AI systems across its apps once they consistently perform better than its current methods of content enforcement, transforming its approach.

“As we do this, we’ll reduce our reliance on third-party vendors for content enforcement and focus on strengthening our internal systems and workforce.

“While we’ll still have people who review content, these systems will be able to take on work that’s better-suited to technology, like repetitive reviews of graphic content or areas where adversarial actors are constantly changing their tactics, such as with illicit drug sales or scams,” it stated.

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