# Google Search Google Search is a fully automated search engine that uses web crawlers to discover pages, builds an index from their content, and serves relevant results to users. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Cloudflare Adds Setting to Block AI Training Crawlers While Allowing Search Crawlers DevFeed: [Cloudflare Adds Setting to Block AI Training Crawlers While Allowing Search Crawlers]() Original publisher: [Read original article]() Author: Alex Harper Published: 2026-09-16T17:18:57Z Content type: news Language: en Sources: [Web Designer Depot]() Topics: [Cloudflare](), [AI Bots](), [Crawler](), [Google Search](), [Artificial Intelligence]() Tags: [ai](), [ai-crawlers](), [ai-tech](), [ai-training](), [anthropic](), [artificial-intelligence](), [cloudflare](), [content-protection](), [future-of-the-web](), [google-extended](), [google-search](), [googlebot](), [openai](), [publishers](), [robots-txt](), [search](), [search-engines](), [web](), [web-design](), [web-development](), [web-publishing](), [web-scraping](), [website-traffic]() ### AI overview Cloudflare launched a Disallow AI Training setting that lets website owners allow traditional search crawlers while blocking training-only crawlers from companies including Amazon, Anthropic, Meta, and OpenAI. The article notes that robots.txt depends on crawler compliance and that blocking Google-Extended does not remove content from Google Search features such as AI Overviews or AI Mode. ### Source excerpt Cloudflare just gave website owners a new weapon against AI crawlers: keep the search traffic, block the AI training. After years of watching bots consume the web's content, publishers finally have an easier way to tell AI companies where to go. ## Google's new search redirects make links harder to check before you click DevFeed: [Google's new search redirects make links harder to check before you click]() Original publisher: [Read original article]() Author: Pieter Arntz Published: 2026-09-14T14:17:44Z Content type: news Language: en Sources: [Malwarebytes]() Topics: [Google](), [Google Search](), [Search engine optimization (SEO)](), [Security](), [Accessibility](), [Reddit]() Tags: [accessibility](), [data](), [google](), [google-search](), [goto-url](), [news](), [reddit](), [search](), [security](), [seo](), [serp]() ### AI overview Google is routing some search result links through opaque, Google-specific redirects instead of linking directly to destinations. The change may make bulk URL extraction harder, but it also limits legitimate tools and makes it more difficult for users to verify a link's destination by hovering before clicking. ### Source excerpt Google says its new opaque redirects tackle evolving abuse, but they also prevent users from checking a result's destination by hovering over it. ## Build an AI Agent with Real-Time Web Search in JavaScript DevFeed: [Build an AI Agent with Real-Time Web Search in JavaScript]() Original publisher: [Read original article]() Author: Amit Merchant Published: 2026-08-14T00:00:00Z Content type: tutorial Language: en Sources: [Amit Merchant]() Topics: [AI Agent](), [JavaScript](), [real-time](), [Web](), [Large Language Model](), [Google Search]() Tags: [ai-agent](), [google-search](), [javascript](), [large-language-models-llms](), [programming](), [real-time](), [tutorial](), [web]() ### AI overview This tutorial explains how to build a small JavaScript AI agent that decides when it needs web search, retrieves Google search results through SearchApi, and uses those results to formulate an answer. It also explains tool calling and the agent loop. ### Source excerpt Large language models (LLMs) are great at answering questions, but they have an important limitation: they don't inherently have access to what's happening on the web right now. ## Building Which-Fuji: A Side Project for Fujifilm Camera Enthusiasts DevFeed: [Building Which-Fuji: A Side Project for Fujifilm Camera Enthusiasts]() Original publisher: [Read original article]() Author: masnun Published: 2026-06-28T06:11:45Z Content type: opinion Language: en Sources: [Abu Ashraf Masnun]() Topics: [Website](), [Web](), [Cloudflare](), [Search engine optimization (SEO)](), [Google Search](), [Structured-data](), [Content Management System]() Tags: [building](), [camera](), [cloudflare](), [cloudflare-pages](), [google-search](), [project](), [robots](), [seo](), [side-project](), [uncategorized]() ### AI overview The article presents Which-Fuji, a small website for helping people choose a Fujifilm camera. It describes the site's browse page, quiz, camera reviews, and longer-form articles, along with the author's reasons for building it. The project uses a static-first architecture on Cloudflare Pages and explores structured data, sitemaps, robots policies, and discovery in Google Search. ### Source excerpt I've been quietly working on a small side project for the last few weeks, and it's finally at a point where I can share it properly. Which-Fuji is a tiny website I built to help people figure out which Fujifilm camera to buy. That's it. No reviews, no affiliate spam, no walls of text -- just [...] The post Building Which-Fuji: A Side Project for Fujifilm Camera Enthusiasts appeared first on Abu Ashraf Masnun. ## Google's shift toward AI-first search increases the importance of AEO DevFeed: [Google's shift toward AI-first search increases the importance of AEO]() Original publisher: [Read original article]() Author: Rishabh Goel Published: 2026-05-21T00:00:00Z Content type: opinion Language: en Sources: [Dodo Payments Blog]() Topics: [Google Search](), [Search engine optimization (SEO)](), [Google](), [Artificial Intelligence](), [Large Language Model](), [Website]() Tags: [ai](), [google](), [google-search](), [llms](), [newsletter](), [opinions](), [seo](), [web]() ### AI overview The article argues that Google's integration of Gemini is shifting search from link-based discovery toward conversational, AI-mediated answers. It says SEO alone may no longer be sufficient and that Answer Engine Optimization (AEO), structured information, semantic clarity, and contextual relevance are becoming more important for visibility. It also introduces DualMark, an open-source project intended to make infrastructure more readable to AI systems. ### Source excerpt Google is moving deeper into AI-first search with Gemini, and the discovery layer of the internet is shifting from SEO to AEO. Here's why AEO matters and how we open-sourced DualMark to help. ## Build with Nano Banana Pro, our Gemini 3 Pro Image model DevFeed: [Build with Nano Banana Pro, our Gemini 3 Pro Image model]() Original publisher: [Read original article]() Author: Alisa Fortin Published: 2025-11-20T15:11:14Z Content type: article Language: en Sources: [Google DeepMind News]() Topics: [Google AI](), [text-to-image](), [Artificial Intelligence](), [API](), [multimodal](), [Google Search](), [Figma]() Tags: [4k](), [ai](), [ai-studio](), [api](), [color-grading](), [demo](), [figma](), [gemini](), [generation](), [google-search](), [image](), [model](), [multimodal](), [none](), [product-design]() ### AI overview The article announces Nano Banana Pro, also called Gemini 3 Pro Image, a higher-fidelity image generation and editing model built on Gemini 3 Pro. It describes developer access through the Gemini API in Google AI Studio and Vertex AI, with multimodal capabilities, Google Search grounding, improved text rendering, precise image controls, high-resolution outputs, and support for compositing multiple reference elements. The model is also being integrated into developer and creative platforms for UI mockups and visual asset creation. ### Source excerpt Nano Banana Pro, or Gemini 3 Pro Image, is our most advanced image generation and editing model. ## Introducing Nano Banana Pro DevFeed: [Introducing Nano Banana Pro]() Original publisher: [Read original article]() Author: Naina Raisinghani Published: 2025-11-20T15:05:02Z Content type: article Language: en Sources: [Google DeepMind News]() Topics: [Google](), [data](), [Google Search]() Tags: [creativity](), [data](), [design](), [fonts](), [gemini](), [generate](), [generation](), [google](), [google-search](), [image](), [images](), [model](), [none](), [prototypes](), [real-time](), [reasoning](), [search]() ### AI overview Google DeepMind introduces Nano Banana Pro, also called the Gemini 3 Pro Image model, for image generation and editing. It uses advanced reasoning, real-world knowledge, and Google Search to create context-rich visuals, infographics, diagrams, prototypes, and images containing legible multilingual text. ### Source excerpt Nano Banana Pro is our new image generation and editing model from Google DeepMind. ## Gemini 2.5 Flash-Lite is now ready for scaled production use DevFeed: [Gemini 2.5 Flash-Lite is now ready for scaled production use]() Original publisher: [Read original article]() Author: Logan Kilpatrick; Zach Gleicher Published: 2025-10-25T17:34:32Z Content type: release Language: en Sources: [Google DeepMind News]() Topics: [Artificial Intelligence](), [long-context](), [Latency](), [multimodal](), [Google Search]() Tags: [ai](), [cost](), [gemini](), [google-search](), [latency](), [launch](), [model](), [multimodal](), [production](), [speed](), [token]() ### AI overview Google DeepMind announces the stable release of Gemini 2.5 Flash-Lite for scaled production use. It is positioned as the fastest and lowest-cost model in the Gemini 2.5 family, with optional native reasoning, lower latency, reduced audio-input pricing, and support for a 1 million-token context window, controllable thinking budgets, multimodal understanding, and tools including Google Search grounding, code execution, and URL context. ### Source excerpt Gemini 2.5 Flash-Lite, previously in preview, is now stable and generally available. This cost-efficient model provides high quality in a small size, and includes 2.5 family features like a 1 million-token context window and multimodality. ## Grounding with Google Search in the Firebase AI Logic client SDKs DevFeed: [Grounding with Google Search in the Firebase AI Logic client SDKs]() Original publisher: [Read original article]() Author: Ankita Saxena; Daniel La Rocque Published: 2025-07-28T00:00:00Z Content type: release Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Google Search](), [SDKs](), [Artificial Intelligence](), [Mobile](), [Web]() Tags: [ai](), [ai-logic](), [android](), [firebase](), [flutter](), [gemini](), [google](), [google-search](), [grounding](), [ios](), [javascript](), [mobile](), [news](), [react](), [sdks](), [search](), [tutorials](), [unity](), [updates](), [vertex-ai](), [web]() ### AI overview Firebase announces Grounding with Google Search for its AI Logic client-side SDKs. The feature lets Gemini search current web content before generating responses, enabling mobile and web applications to use more up-to-date information. ### Source excerpt News, tutorials, and updates from the Firebase team. ## High-Precision Responses with Genkit's Google Search Integration DevFeed: [High-Precision Responses with Genkit's Google Search Integration]() Original publisher: [Read original article]() Author: tanabee Published: 2024-10-21T18:37:56Z Content type: tutorial Language: en Sources: [Firebase Developers - Medium]() Topics: [Genkit](), [Google Search](), [Google](), [Google Cloud Platform (GCP)](), [Artificial Intelligence]() Tags: [ai](), [ai-api](), [cloud](), [code](), [gemini](), [genkit](), [github](), [google](), [google-search](), [grounding](), [how-to](), [integration]() ### AI overview This tutorial explains how to integrate Google Search with Genkit 0.5.9 so applications can use current information, including details from specific domains, when generating responses. It covers enabling Vertex AI, configuring a Google Cloud project and local environment, initializing a Genkit project, and running the Genkit Developer UI. ### Source excerpt aGenkit With the release of Genkit version 0.5.9, it is now possible to leverage Google Search directly through Genkit. By using Google Search, Genkit can access the latest information, including niche details from specific domains, leading to more accurate responses. This article explains how to set up Google Search integration for Genkit. Enabling Vertex AI To use the Google Search feature, you need a Google Cloud project with Vertex AI enabled. Follow these steps to enable Vertex AI and link your local environment with Google Cloud: 1. In the Cloud console, Enable the Vertex AI API for your project. 2. Set environment variables: export GCLOUD_PROJECT= export GCLOUD_LOCATION=us-central1 3. Authenticate with gcloud: gcloud auth application-default loginInitializing a Genkit Project Next, initialize your Genkit project. % npm init -y % npm i -D genkit-cli % npm i genkit @genkit-ai/googleai @genkit-ai/vertexai % mkdir src && touch src/index.ts Paste the following initialization code into the src/index.ts file. import { genkit, z } from 'genkit'; import { vertexAI } from '@genkit-ai/vertexai'; import { gemini15Flash } from '@genkit-ai/vertexai'; const ai = genkit({ model: gemini15Flash, plugins: [vertexAI({ location: 'us-central1' })], }); export const mainFlow = ai.defineFlow( { name: 'mainFlow', inputSchema: z.string(), outputSchema: z.string(), }, async (prompt) => { const { text } = await ai.generate(prompt); return text; } ); ai.startFlowServer({ flows: [mainFlow] });Enabling Google Search To enable Google Search, specify `googleSearchRetrieval` with `withConfig` for the `gemini15Flash` model, as shown in the following code. const ai = genkit({ model: gemini15Flash.withConfig({ googleSearchRetrieval: {}}), plugins: [vertexAI({ location: 'us-central1' })], });Run locally Launch the Genkit Developer UI with the following command: % npx genkit start -- npx tsx --watch src/index.ts Try asking about the current weather in Tokyo. Ask about Tokyo's weat ## AI Power Plays: Partnerships and Rivals 🤝🚀 - Air Around AI (a3) #9 DevFeed: [AI Power Plays: Partnerships and Rivals 🤝🚀 - Air Around AI (a3) #9]() Original publisher: [Read original article]() Author: Pradeep Kumar Published: 2024-07-29T14:30:58Z Content type: article Language: en Sources: [Air Around AI]() Topics: [Artificial Intelligence](), [OpenAI](), [Microsoft](), [Google](), [Google Search](), [GPU](), [llama](), [Meta](), [Amazon Web Services](), [Large Language Model](), [text-to-image]() Tags: [ai](), [aws](), [benchmarks](), [google](), [google-search](), [gpu](), [llama](), [llms](), [meta](), [microsoft](), [openai]() ### AI overview This article surveys recent AI industry developments, including the Microsoft-OpenAI partnership, SearchGPT, Meta's Llama 3.1, Mistral Large 2, Adobe Firefly 3, and Google's Gemini 1.5 Flash update. It also discusses competition among major companies and the computing demands of larger models. ### Source excerpt Meta got Llama 3.1, Mistral brings Large 2, OpenAI flexes SearchGPT, Adobe gifts Firefly, Google offers faster Gemini, xAI promises largest supercomputer, CNN Explorer ## Accelerating theblueground.com: Five Core Web Vitals improvements DevFeed: [Accelerating theblueground.com: Five Core Web Vitals improvements]() Original publisher: [Read original article]() Author: Dimitris Zotos Published: 2023-12-22T10:10:37Z Content type: article Language: en Sources: [Blueground Engineering blog]() Topics: [Core Web Vitals](), [Optimization](), [User Experience](), [Google Search](), [Mobile](), [Web]() Tags: [core-web-vitals](), [google-search](), [interaction-to-next-paint](), [mobile](), [optimization](), [performance](), [seo](), [user-experience](), [web]() ### AI overview A Blueground case study describes efforts to improve theblueground.com's Core Web Vitals, focusing on website loading performance and Largest Contentful Paint. The article explains the roles of LCP, FID, and CLS, notes Google's planned replacement of FID with Interaction to Next Paint, and reports an initial mobile LCP of 2.7-3 seconds alongside low impressions in Google Search Console. ### Source excerpt In the realm of modern hospitality, Blueground stands out by providing fully furnished apartments that redefine travel. However, beyond the sophistication of our spaces, a pivotal factor comes into play -- our website's load speed performance. Serving thousands of daily users requires a digital experience that matches the ## SEO Myths: Top 5 Sitemap Myths Demystified DevFeed: [SEO Myths: Top 5 Sitemap Myths Demystified]() Original publisher: [Read original article]() Author: andrew@nystudio107.com (Andrew Welch) Published: 2023-10-30T20:03:00Z Content type: article Language: en Sources: [nystudio107 | Articles on modern web development.]() Topics: [Search engine optimization (SEO)](), [Google Search](), [Crawler]() Tags: [2005](), [article](), [demystify](), [google-search](), [insights](), [misconceptions](), [myths](), [seo](), [sitemaps](), [surrounding](), [we-ll]() ### AI overview This article examines five common myths about sitemaps and explains that they are optional signals search engines may use, not directives. It also describes situations where a sitemap may help, such as large or new sites and sites with rich media. ### Source excerpt Sitemaps have been around since 2005, but there are still many myths and misconceptions surrounding them. We'll demystify five SEO myths in this article. ## An experience with Daimler's vulnerability reporting program DevFeed: [An experience with Daimler's vulnerability reporting program]() Original publisher: [Read original article]() Author: Eaton Published: 2019-12-19T19:13:31Z Content type: opinion Language: en Sources: [Eaton Works Feed]() Topics: [vulnerability](), [Website](), [Google Search](), [pdf](), [Query (disambiguation)]() Tags: [enumeration](), [google-search](), [pdf](), [query](), [reporting](), [script](), [vulnerability](), [website]() ### AI overview A firsthand account of finding sensitive and confidential documents indexed on Mercedes-Benz USA's Dealer Help Center website. The article describes how varying PDF ID numbers exposed additional documents through an unsecured endpoint and characterizes this as an enumeration attack, while noting that no customer data was found or believed to be at risk. ### Source excerpt Reporting sensitive content exposure on an MBUSA website to Daimler. ## Annotated JSON-LD Structured Data Examples DevFeed: [Annotated JSON-LD Structured Data Examples]() Original publisher: [Read original article]() Author: andrew@nystudio107.com (Andrew Welch) Published: 2019-05-29T12:00:00Z Content type: tutorial Language: en Sources: [nystudio107 | Articles on modern web development.]() Topics: [json-ld](), [Structured-data](), [JSON](), [Google Search](), [Content Management System]() Tags: [annotation](), [article](), [cms](), [data](), [examples](), [insights](), [json](), [json-ld](), [plus](), [real-world](), [structured](), [want](), [wild]() ### AI overview This article presents annotated, real-world JSON-LD structured data examples. It explains how schema.org vocabularies express context and connections, recommends selecting explicit best-fit schema types supported by Google, and introduces node identifiers for referencing schemas without unnecessary repetition. ### Source excerpt Want to see a some real-world examples of JSON-LD Structured Data "in the wild"? This article has that, plus annotation. ## Where is the best place to get help with Firebase? DevFeed: [Where is the best place to get help with Firebase?]() Original publisher: [Read original article]() Author: Doug Stevenson Published: 2018-02-23T00:00:00Z Content type: tutorial Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Google Search](), [Stack Overflow](), [Code](), [Programming]() Tags: [best-practices](), [code](), [community](), [firebase](), [google-search](), [how-to](), [programming](), [tutorials]() ### AI overview This Firebase team tutorial explains where to seek answers to Firebase questions. It recommends starting with Google Search, then choosing among relevant forums such as Stack Overflow, and provides advice for writing clear, well-formatted questions and sharing code and complete error details. ### Source excerpt News, tutorials, and updates from the Firebase team. ## TIP: Search the Website DevFeed: [TIP: Search the Website]() Original publisher: [Read original article]() Author: Shai Almog Published: 2016-12-11T00:00:00Z Content type: tutorial Language: en Sources: [CodeName One]() Topics: [Website](), [Google Search](), [browser](), [pdf](), [Stack Overflow](), [Google Groups](), [Cloudflare]() Tags: [google](), [google-search](), [guide](), [index](), [js](), [pdf](), [search](), [server](), [tool](), [tools]() ### AI overview The article explains workarounds for searching a website that lacks built-in search, including Google site search, a JavaDoc index, a searchable developer-guide PDF, Stack Overflow, and Google Groups. It also discusses challenges in implementing static-site search. ### Source excerpt A frequent complaint we get is the lack of a search feature on the site and we get that. It's frustrating to us too. We'd like to add it but are still looking at the "right way" to do it which I'll discuss at more length below but for now I'd like to discuss a couple of relatively simple workarounds. The Current Workarounds Google Site Search We can just type site:codenameone.com followed by your query into google when searching to search within the site e.g. like this https://www.google.co.il/search?q=site%3Acodenameone.com+Button ## Firebase App Indexing for Personal Content DevFeed: [Firebase App Indexing for Personal Content]() Original publisher: [Read original article]() Author: Fabian Schlup Published: 2016-11-21T00:00:00Z Content type: release Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Google Search](), [Android](), [data]() Tags: [android](), [api](), [app-indexing](), [data](), [firebase](), [google](), [google-search](), [guide](), [implementation](), [offline](), [update]() ### AI overview Firebase App Indexing API version 10.0 enables Android apps to add personal content to Google's on-device index, update it in real time, and support offline search while keeping indexed data on the device. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Use Voice Search to integrate with Google Now DevFeed: [Use Voice Search to integrate with Google Now]() Original publisher: [Read original article]() Published: 2015-10-14T00:00:00Z Content type: tutorial Language: en Sources: [Antonio Leiva]() Topics: [Android](), [Google](), [App](), [Google Search](), [App Indexing]() Tags: [adb](), [android](), [app](), [app-indexing](), [debug](), [google](), [google-search](), [toolbar]() ### AI overview A tutorial on integrating Android apps with Google Now voice search. It explains how to receive the search intent, extract and analyze its query text, update an in-app search interface, and test the integration with adb. ### Source excerpt Everything Android, Kotlin and other random topics ## Browser statistics June 2015 DevFeed: [Browser statistics June 2015]() Original publisher: [Read original article]() Author: Henning Spjelkavik Published: 2015-06-25T23:00:32Z Content type: article Language: en Sources: [Finn.no]() Topics: [browser](), [browsers](), [Mobile](), [Google Search](), [Web](), [Internet Explorer]() Tags: [android](), [apple](), [browser](), [desktop](), [devices](), [google](), [google-search](), [internet-explorer](), [iphone](), [mobile](), [mobile-web](), [statistics](), [web]() ### AI overview FINN.no's June 2015 statistics show that smartphones and tablets accounted for 62% of visits, while desktop and laptop visits accounted for 38%. Responsive mobile web was the largest FINN.no application category, and Apple led the browser-vendor ranking. ### Source excerpt In July 2013 more than 40% of the visits to FINN.no were from a tablet or a phone. Nearly one year later, in April 2014 - the share was 48%. What do you think has happened the last year? In April, Google rolled out their "mobile-friendly update", which boosts the ranking of sites that are mobile friendly in the Google search. We're clearly not the only one seeing the increased market share of mobile devices. How many visitors use a desktop or laptop? Our first graph shows the share of our users using a mobile phone, tablet or a desktop computer to access FINN.no, regardless of whether they use the traditional somewhat-responsive-desktop-web (www.finn.no), our responsive mobile web (m.finn.no) or an Android or iPhone app. 62% of our visits are now from a smartphone or a tablet. The traditional desktop/laptop has a market share of 38%. Which FINN.no application do people use? We have three major versions of FINN.no - the desktop, the responsive m.finn.no, and native apps. Our reponsive site is now the biggest! 14% of our visits are from our native apps, 42% from www.finn.no, and 44% from our responsive m.finn.no. Browsers First of all, let's take a look at the numbers of the browser vendors. The ranking is clear, Apple is the biggest, ahead of Google, Microsoft and Mozilla - and Opera is still in the top 5, representing more than an amazing 0.2% of our visits. Do you remember the "browser wars"? When IE 8.0 ruled the web? In case you wondered which browser is the biggest on the "desktop" here's the trend: The complete browser statistics, across all applications are as follows: It seems like a good idea to make sure your website works well with Safari! In case you still have Internet Explorer 9 as your favourite, it's still making it to the top 15, with a total share of 1.2% of our traffic, marginally behind Internet Explorer 10 with 1.4%. In 2015, poor IE8 is down to 0.3%. Thanks to Tobias Flatin, Chris Searle, Gregers G Rygg, Trond Hjorteland, and others for feedback ## Google's grip on your digital life: A tongue-in-cheek journey through a day with the tech giant. DevFeed: [Google's grip on your digital life: A tongue-in-cheek journey through a day with the tech giant.]() Original publisher: [Read original article]() Author: Graham King Published: 2013-02-23T04:54:09Z Content type: opinion Language: en Sources: [Graham King]() Topics: [Google](), [digital](), [Chrome](), [Google Search](), [JavaScript](), [chromebook](), [Dart](), [Go]() Tags: [chrome](), [chromebook](), [dart](), [digital](), [go](), [google](), [google-search](), [javascript](), [society](), [tech](), [web]() ### AI overview A tongue-in-cheek account follows a person's day through Google services and products, including Gmail, Chrome, Google Calendar, Hangouts, Google Fiber, Google Drive, App Engine, Google Ads, Google Analytics, and Google Search. It illustrates how extensively Google's ecosystem can feature in everyday digital activities. ### Source excerpt "Google's grip on your digital life: A tongue-in-cheek journey through a day with the tech giant." ## How Google PageRank Can Be Manipulated Through Manufactured Backlinks DevFeed: [How Google PageRank Can Be Manipulated Through Manufactured Backlinks]() Original publisher: [Read original article]() Published: 2011-06-21T17:25:08Z Content type: opinion Language: en Sources: [Jeremy Kun]() Topics: [Google Search](), [Algorithm](), [clients]() Tags: [algorithm](), [fraud](), [google](), [google-search](), [history](), [page-rank](), [ranking]() ### AI overview The article examines how Google PageRank can be manipulated when businesses manufacture backlinks through controversy and negative publicity. Using the DecorMyEyes case, it argues that PageRank can rank pages inappropriately when sites compete to influence the system. ### Source excerpt A Bully By Any Other Name From the New York Times: "Shopping online in late July, Clarabelle Rodriguez typed the name of her favorite eyeglass brand into Google's search bar. In moments, she found the perfect frames -- made by a French company called Lafont -- on a Web site that looked snazzy and stood at the top of the search results. Not the tippy-top, where the paid ads are found, but under those, on Google's version of the gold-medal podium, where the most relevant and popular site is displayed. ## While-you-type Searching DevFeed: [While-you-type Searching]() Original publisher: [Read original article]() Author: Guido van Rossum (noreply@blogger.com) Published: 2009-12-11T21:45:00Z Content type: opinion Language: en Sources: [Guido van Rossum]() Topics: [Google Search](), [Firefox extension](), [Web](), [DuckDuckGo](), [Firefox](), [Users]() Tags: [blog-post](), [extension](), [firefox](), [google-search](), [privacy](), [searching](), [web]() ### AI overview The post proposes a Firefox extension that would search the last few words or the current paragraph while someone is writing and display snippets from top Google results in an unobtrusive pop-up. It distinguishes this idea from autocomplete because the user would not need to initiate a search, and it notes possible benefits for finding answers while writing alongside a privacy concern. ### Source excerpt Here's an idea that is just begging to be implemented as a Firefox extension. You know how there's a while-you-type spell checker that's always on when you are editing text in a multi-line text box? There should be a feature that takes the last few words you're typing (or the entire current paragraph, or whatever works best), does a Google search, and presents snippets for the top few results in an unobtrusive pop-up window. Sure, maybe you're thinking "It looks like you're writing a letter. Do you want me to write it for you?" (the Microsoft paperclip). But using web search instead of a fixed set of patterns could actually make this useful. Imagine the number of messages to customer support forums that will never have to be sent because this feature pops up the answer the user was looking for. And so on. You might also think, "this already exists, it's called Google auto-suggest." But I specifically want it to work when I'm not (yet) actively searching, but just writing. (If it already existed, it might have stopped me from writing this blog post. :-) Twitter might also become a different place if users realized how many others have already entered the same item. Of course there's a little privacy issue. But still, if this existed, I'd opt in! (In fact, I did half a dozen searches while I was typing this. How much easier it would be if I didn't have to select text, switch to a different tab, paste, and hit enter, losing my writing context each tim.)