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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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AI Legal Tech Firm Ivo Gets $55m for Contract Intelligence

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AI legal tech Ivo

By Dipo Olowookere

The sum of $55 million has been injected into an Artificial Intelligence (AI)-powered contract intelligence platform, Ivo, to support product development and scaling as the company deepens its reach across the hundreds of organizations that already rely on its product, including Uber, Shopify, Atlassian, Reddit, and Canva.

The Series B funding round comes after a year of substantial growth in product performance, customer adoption, and market traction to accelerate its mission of making contract intelligence available to every business.

Since its last funding round, Ivo has grown annual recurring revenue by 500 per cent, increased total customers by 134 per cent, and expanded adoption within the Fortune 500 by 250 per cent.

Business Post gathered that the latest funding support came from Blackbird, Costanoa Ventures, Uncork Capital, Fika Ventures, GD1 and Icehouse Ventures.

Ivo is purpose-built for in-house teams that need both reviews with surgical accuracy as well as visibility into their complete contract library.

The company’s AI-powered contract review solution, Ivo Review, allows users to complete reviews in a fraction of the time; customers report saving up to 75 per cent of the time that manual review would demand.

The product standardizes a company’s positions and precedents using playbooks built and implemented by lawyers. This means that every contract is reviewed accurately, consistently, and efficiently, critical for large and globally distributed teams.

“Our goal has always been to make interacting with contracts fast, accurate, and enjoyable. Every key relationship in a business is defined by an agreement, yet most organizations struggle to extract the insights inside them.

“Our focus is to give in-house teams a trustworthy solution that helps them work faster and gives them visibility into their contracts that was previously impossible,” the chief executive and co-founder of Ivo, Min-Kyu Jung, stated.

Also commenting, a Principal at Blackbird, Mr James Palmer, said, “In-house legal teams demand products that are deeply accurate and aligned to how they work. The most sophisticated teams are incredibly selective about the tools they trust.

“Ivo’s traction with some of the world’s best companies shows it consistently exceeds that bar. With exceptional product execution and an uncompromising quality bar, we believe Ivo is defining and leading the category.”

The Senior Manager for Contract Operations at Uber, Ms Kate Gardner, said, “Uber selected Ivo because it was intuitive to use, demonstrated a high level of accuracy, could work in multiple languages, and met its confidentiality requirements. Furthermore, the Ivo team was highly responsive to Uber’s needs.”

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Nigeria Leads in AI for Learning, Entrepreneurship—Google

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AI for Learning Nigeria

By Modupe Gbadeyanka

A new report released by global tech giant, Google, in collaboration with Ipsos, has revealed that Nigeria is writing the playbook on Artificial Intelligence (AI) as it leads in AI for learning and entrepreneurship.

In the study titled Our Life with AI: Helpfulness in the hands of more people, it was shown that Nigerians are using AI tools for everything from education to entrepreneurship at a remarkable rate, showing immense optimism for the technology’s future.

It was disclosed that about 88 per cent of Nigerian adults have used an AI chatbot, a huge 18-point jump from 2024, placing the West African country well ahead of the global average of 62 per cent.

It was also found out that while the top use for AI globally has shifted to learning, Nigerians are taking it a step further, using AI as a powerful tool for personal and professional development.

A staggering 93 per cent of Nigerians use AI to learn or understand complex topics, compared to 74 per cent globally, with 91 per cent using the tool to assist them with their work.

In addition, the research observed that 80 per cent of Nigerians are using AI to explore a new business or career change—nearly double the global average of 42 per cent.

Nigerians have overwhelmingly positive feelings about AI’s role in the classroom and beyond, seeing it as a game-changer for education, with 91 per cent feeling AI is having a positive impact on how we learn and access information versus 65 per cent globally.

The report showed that 95 per cent believe university students and educators are likely to benefit from AI, as 80 per cent of Nigerians are more excited about the possibilities of AI, versus just 20 per cent who are more concerned. Globally, the split is much closer at 53 per cent excited and 46 per cent concerned).

Commenting on the findings, the Communications and Public Affairs Manager for Google in West Africa, Taiwo Kola-Ogunlade, said, “It’s inspiring to see how Nigerians are creatively and purposefully using AI to unlock new opportunities for learning, growth, and economic empowerment.

“This report doesn’t just show high adoption rates; it tells the story of a nation that is actively shaping its future with technology, using AI as a tool to accelerate progress and achieve its ambitions. We’re committed to ensuring that AI remains a helpful and accessible tool for everyone.”

Business Post gathered that the research was conducted by Ipsos between September 22 and October 10, 2025, on behalf of Google.

For this survey, a sample of roughly 1,000 adults aged 18+ who are residents of Nigeria and were interviewed online, representing the country’s online population.

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NCC Grants Three Satellite Licences to Boost Broadband Services

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NCC

By Adedapo Adesanya

The Nigerian Communications Commission (NCC) has licensed three additional global internet service providers, Amazon’s Project Kuiper, BeetleSat-1, and and Germany-based Satelio IoT Services, as part of efforts to strengthen internet connectivity via satellite and to boost competition among existing internet service providers in the country.

Amazon Leo, formerly Project Kuiper, is Amazon’s Low Earth Orbit (LEO) satellite network, designed to provide fast, reliable internet to customers and communities beyond the reach of existing networks, while BeetleSat (formerly NSLComm) is an international company with strong ties to both Israel and Spain, and its corporate structure involves multiple countries, building a Low Earth Orbit (LEO) constellation of 250 satellites to provide high-throughput, low-latency, satellite internet, cellular backhaul, and mobility services globally, and Satelio IoT was approved for its planned 491-satellite IoT system, though only one satellite is currently in orbit.

NCC granted the global internet operators seven-year licences to each to operate in Nigeria from February 28, 2026, to February 28, 2033.

These operators were granted Ka-Band for their frequency band operations, and the licence is renewable after the seven years expiration, according to the regulator.

The NCC’s landing permit authorises Project Kuiper to operate its space segment in Nigeria as part of a global constellation of up to 3,236 satellites.

According to the NCC, the approval aligns with global best practices and reflects Nigeria’s willingness to open its satellite communications market to next-generation broadband providers.

The permit positions Project Kuiper to provide satellite internet services over Nigerian territory and sets the stage for intensified competition with Starlink, currently the most visible Low-Earth Orbit (LEO) satellite internet provider in the country.

The permit also gives Amazon LEO and BeetleSat-1, the legal certainty to invest in ground infrastructure, local partnerships, and enterprise contracts, while giving Nigeria a wider market opportunity to play in space internet service delivery, where Starlink currently operates.

Amazon’s Kuiper will offer three categories of satellite services in Nigeria: Fixed Satellite Service (FSS), Mobile Satellite Service (MSS), and Earth Stations at Sea (ESAS).

FSS enables broadband connectivity between satellites and fixed ground stations, such as homes, enterprises, telecom base stations, and government facilities. This is the core service behind satellite home internet and enterprise backhaul; MSS, by contrast, is designed for mobility and resilience; and ESIM extends high-speed satellite broadband to moving platforms, including aircraft, ships, trains, and vehicles.

These systems rely on sophisticated antennas that can track satellites in real time while in motion, making them critical for aviation and maritime connectivity as well as logistics and transport sectors.

BeetleSat was founded in Israel, where its groundbreaking antenna technology was developed and supported by the Israel Space Agency.

In 2021, it formed a strategic alliance with the Spanish technology group Arquimea, which is now BeetleSat’s largest shareholder and main industrial partner.

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