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Google I/O 2026 Recap

Google I/O 2026 Recap: How The New AI Mode Search Bar Changes SEO Forever

What You Will Learn What Google I/O actually is and why 2026 is a turning point Google AI overview 2026 now appears in 48% of all searches globally The new Intelligent Search Box accepts images, files, videos, Chrome tabs — not just text AI agents run 24/7 reading your website whether a human searches or not Google beats ChatGPT search 2026 by making AI the default, not an option Simple actions you can take right now to stay visible in Google AI search 2026 On May 19, 2026, Sundar Pichai walked on stage at Google I/O and said something that made every SEO professional sit up straight: “This is the biggest upgrade to our Search box in over 25 years.” Not just the results. Not just the ranking algorithm. The interface that 8 billion people use daily to find information was completely rebuilt. It runs on the Gemini 3.5 Flash default search model and focuses on AI-first interactions. For anyone managing a website, running an agency, or trying to grow organic traffic in India or globally, Google I/O 2026 AI Mode SEO impact is the most important development you need to understand right now. This blog breaks it down in plain terms: what changed, what it means for your rankings, and what to do next. What Is Google I/O and Why Should You Care? Quick Explainer Google I/O is Google’s annual developer conference held every May in Mountain View, California. The “I/O” stands for Input/Output – a computer science term. Think of it as Google’s biggest announcement event of the year, like Apple’s WWDC but for Google. Every year, Google reveals major updates to Search, Android, AI models, and developer tools. Marketers, SEO professionals, and website owners closely monitor these announcements. What Google reveals here shapes how billions of people find content for the next 12 months. The 2026 edition on May 19 and 20 was unlike any past I/O. For the first time, Google didn’t just add a feature to Search. It rebuilt the foundation of how Search works. What Changed in Google Search After I/O 2026 Five major changes were announced at Google I/O on May 19, 2026. Each one has direct consequences for how websites get found. 1. Intelligent Search Box  The classic single-line text field is gone. Google replaced it with what it calls the Intelligent Search Box. It expands dynamically as you type, accommodates long conversational queries, and accepts images, documents, videos, and Chrome tabs as inputs. Google search redesign explained in one sentence: the search bar is now a Gemini prompt window with a search engine running underneath it. 2. Gemini 3.5 Flash as the Default Model Gemini 3.5 Flash default search model, powers AI Mode for every user globally starting May 19. It is faster, smarter, and handles long conversational queries in seconds. AI Mode queries have more than doubled every quarter since launch. Sundar Pichai confirmed AI Mode now has over 1 billion monthly active users – just one year after it launched. 3. Background AI Agents This is the part most SEOs have not fully absorbed yet. Google’s background AI agents reading your site now run around the clock, monitoring the web on behalf of users for topics they care about  If someone sets an agent to track “apartment rentals in Bangalore under 30,000 rupees,” that agent is crawling, reading, and filtering websites continuously. Google’s AI agents are watching the web for you, it is not a headline – it is the new reality of how content gets surfaced. 4. AI Overviews and AI Mode Are Now One Experience There is no longer a separate “AI tab”. Users flow from a normal result to a Google AI overview 2026 to a full AI conversation – all on the same page, without clicking anything. The SERP structure 2026 is one unified surface. If your content is not cited on that surface, users never see it, even if you rank on page one. 5. Personal Intelligence Went Global Google now pulls from your Gmail, Photos, and YouTube history to personalise search results. Two people searching the same query in the same city get different answers. This was previously only for paid US subscribers. From 19 May, it works in nearly 200 countries, including India, with no subscription needed. How Google AI Mode Affects Website Traffic: The Data for 2026 The question every website owner is asking: does Google AI Mode reduce organic traffic to websites? Yes, it matters. The impact depends on if your site is mentioned in AI answers or not. 1B+ monthly AI Mode users, one year after launch (Google I/O 2026) 48% of all Google queries trigger an AI Overview (Ahrefs, March 2026) 2x to 3x longer than average AI Mode query vs traditional search query The Google Search Console impressions vs. clicks gap is widening for most sites. Impressions stay stable or grow because your pages still get indexed and referenced. But clicks drop because users get answers directly inside the AI Overview without visiting your site. Sites cited inside AI answers are the exception – they see more qualified clicks per impression, not fewer. AI Overview’s click-through rate drop for uncited pages reached 61% on affected queries according to Seer Interactive’s 2026 analysis. The traffic did not disappear. It shifted to cited sources. That is where the opportunity sits. AI Mode vs Traditional SEO Ranking Strategy in 2026 Understanding AI Mode vs traditional SEO ranking strategy in 2026 is the difference between adapting now and losing ground for the next two years. Traditional SEO (Before 2026) AI Mode SEO (After Google I/O 2026) Target short keywords Answer full conversational questions Rank in the 10 blue links Get cited inside the AI Overview answer Success = Position 1 Success = being the source Google AI quotes Traffic comes from clicks Visibility comes from AI citations plus clicks Update content once a year Keep content fresh for 24/7 background agents Is traditional SEO dead in 2026? No — but

ChatGPT SEO

How ChatGPT uses SEO to drive growth and revenue

ChatGPT is the 5th most-visited website in the world. It has never run a single paid ad. Here is exactly how it happened and what you can learn from it. In September 2025, Sam Altman announced that ChatGPT had crossed 800 million weekly active users & nearly 10% of the world’s adult population. The site now receives 5 billion visits every single month and ranks as the 5th most visited website globally.   No Super Bowl ad. No billboard. No Google Ads campaign. Just product, content, and code working together in a loop that most companies have not built yet. That loop is what we now call ChatGPT SEO – a system where visibility, user intent, and content scale compound without paid acquisition. This blog breaks down exactly how that loop works. We’ll use a simple framework called the 3Cs – Code, Content, and Conversions – to show you what OpenAI built, why it works, and what you can steal from it starting today. No jargon. No fluff. Just the actual mechanics. First, Let’s Clear the Confusion: Is ChatGPT Killing SEO or Using It? Before we talk about what ChatGPT is doing with SEO, we need to address the headline that’s been circulating for two years: “SEO is dead because of AI.” It isn’t. But the fear is real, and it deserves a real answer. The “SEO is dead” claim is based on real fear, not real data Some marketers said traffic dropped by 40–50% in 2025. They declared SEO was over. But these claims come from small, biased samples, not reliable data. When you look at large scale analysis, the picture changes completely and supports a clearer reality: ChatGPT didn’t kill search traffic. Analysis of 40,000+ major US websites showed organic SEO traffic dropped by only 2.5%, not 40% Google’s own traffic increased by 0.8% in 2025 Visitor growth rose by 1.4% in Q4 2025 compared to Q4 2024 SEO is not disappearing, it is evolving. Some industries like news, health, cooking, and entertainment saw sharper declines, while categories like shopping, clothing, and marketplaces actually grew. This shift matches how AI platforms work. Visibility, intent, and user behavior feed systems like the OpenAI revenue model. So, search isn’t dying; it’s just being reshaped. What actually caused the traffic drop and it’s not ChatGPT Most people are blaming ChatGPT for the drop in clicks, but that is not what the data shows. The real shift started when Google rolled out AI Overviews in March 2025. Impressions and rankings stayed stable, which proves clicks were being captured earlier, not lost due to ChatGPT SEO. CTR dropped from 15% to 8% when AI Overviews appeared, with total click volume falling by up to 58%. This clearly shows Google added a zero click layer above organic results. The change comes from product design, not any flaw in ChatGPT growth strategy or SEO itself. What is ChatGPT actually doing to search? ChatGPT has absorbed the top of funnel queries, the quick definitions, how-to searches, and basic comparisons people used to make on Google. It replaces the first one or two searches in a user’s journey, not the entire journey. This shift is why understanding how ChatGPT drives organic traffic matters more than ever. Here is how it actually works. A user asks ChatGPT, “What CRM should I use?” and gets a comparison instantly. Then they move to Google and search “Salesforce vs HubSpot pricing.” That second search is high intent and still lands on organic results. ChatGPT didn’t kill search traffic. It changed where users enter the funnel. Brands that rely solely on generic top content are losing visibility. In contrast, those investing in AI content for SEO and high-intent pages are gaining an advantage. How ChatGPT Became One of the Biggest SEO Winners Without Ads The same tool people say is killing SEO runs one of the most aggressive organic search strategies on the internet. The numbers most people haven’t seen: Comparative SEO Performance: ChatGPT vs. Competitors  Metric ChatGPT (OpenAI) Perplexity AI Claude (Anthropic) Total Monthly Visits 5.2 Billion 206 Million 219 Million Organic Search Traffic 76.5 Million 1.7 Million 908,000 Google Branded Searches 45.5 Million 1 Million 500,000 Keywords Ranked 287,800 184,800 36,000 Direct Traffic Share 80.29% ~70% ~65% Annual SEO Talent Spend $600,000 Not Publicly Disclosed Not Publicly Disclosed The numbers clearly show this is not accidental growth. It is a calculated ChatGPT growth strategy where brand demand, organic reach, and product experience work together to dominate search without relying on paid ads or traditional marketing channels. The 3Cs Growth Engine: Code, Content, and Conversions C1 (Code): The Technical Setup That Commands Google’s Respect Most people think technical SEO is a developer thing. It is not. It simply means making your site easy for Google to read, and OpenAI does this better than almost anyone. This is a core part of ChatGPT SEO. Two things worth copying from ChatGPT’s setup robots.txt done right: Most sites leave this file on default. OpenAI does not. Their setup includes multiple sitemaps, explicit crawler rules, and a clear separation. These are between three crawlers: GPTBot for training, OAI SearchBot for real-time answers, and ChatGPT User for live browsing. This is intentional infrastructure, not an afterthought. Clean, keyword-rich URLs: URLs with real words get 45% higher CTR compared to random strings. Across 287K pages, that becomes a compounding ranking signal. The thing most site owners are missing right now If you have a blanket ‘Disallow: /’ in your robots.txt, you’re invisible in ChatGPT answers, Google AI Overviews, and Perplexity. Your competitors fill that space instead. Understanding the OpenAI revenue model makes this clearer: GPTBot feeds training data, while OAI-SearchBot and ChatGPT-User power the paid product – ChatGPT’s real-time answers. Blocking the retrieval crawlers cuts you out of the product people are actually paying to use. # Standard search engines — always allow User-agent: Googlebot Allow: / User-agent: Bingbot Allow: / # AI retrieval crawlers — ALLOW these so you appear in AI answers User-agent: ChatGPT-User Allow: /

Google Discover Traffic

How To Increase Google Discover Traffic With Technical Fixes

You’re publishing consistently. Your content is decent. But Google Discover traffic keeps skipping you – no impressions, no clicks, no traffic spike. That’s not a content quality problem. That’s a signal problem. Google Discover doesn’t work like Search. It doesn’t wait for someone to type a query. It decides, based on technical signals, trust signals, and interest matching, whether your content deserves to land in front of thousands of readers automatically. This post breaks down exactly what’s broken and how to fix it. So, let’s start without getting delayed!  Why Google Discover Is Now More Important Than Search for Publishers Search is changing fast. Social reach is collapsing – organic reach on Facebook and Instagram has dropped below 2% for most publishers. AI-powered search from Google, ChatGPT, and Gemini is now answering questions directly, which means fewer clicks reach your site even when you rank. Google Discover is different. It’s the last major passive traffic channel that sends high-intent readers directly to your content without them searching for it. It runs on the Google app, Chrome mobile, and Google.com on mobile, reaching over 800 million users. If you’re a publisher and you’re not optimizing for Google Discover traffic, you’re leaving your biggest untapped audience channel completely closed. Essential Considerations Before You Start Optimizing for Google Discover Traffic Most publishers jump straight into technical fixes and wonder why nothing changes. Before any optimization works, Google Discover traffic needs three foundational signals in place. Miss any one of them and the rest of your fixes won’t move the needle. 1. Your Content Must Be Timely & Interest-Driven To drive Google Discover traffic, your content must align with current trends and real time user interest. Focus on fresh topics and what your audience is actively searching or engaging with right now. 2. Your Site Needs a Clear Topical Identity A strong niche focus is key to effective Google Discover optimization. Consistently publishing within specific topics helps Google understand your authority and improves your chances of being recommended in Discover feeds.  3. Your Page Must Be Indexable and Mobile-Ready Following Google Discover best practices, ensure your pages are properly indexed, mobile friendly, and fast loading. Technical issues can block eligibility, no matter how strong your content is.  How to Optimize for Google Discover To increase Discover visibility and discover how to get Google Discover traffic, publish timely, mobile-optimized content with striking visuals. Additionally, you can learn how to get cited in Google AI Overviews by structuring your text with direct answers, bulleted lists, and strong topical authority that algorithms trust. Publisher Profile: Google Needs to Know Who You Are New sites and low-authority domains face challenges with Google Discover. This isn’t due to poor content. Rather, Google hasn’t established a clear publisher profile for them yet. This directly affects your ability to drive Google Discover traffic. Google Discover uses a domain-level identity model. It looks at your publishing history, topic consistency, and on-site signals to decide if your site is a trustworthy content source worth recommending to users. How to accelerate your publisher profile: Publish consistently in one or two topic clusters, not random topics Build a detailed About page that clearly explains who runs the site and why Use visible bylines on every post, not “Staff Writer” but a real named author Get your site listed on Google News if you publish news-adjacent content Link your social profiles from your About page to give Google more identity signals The faster Google recognizes our site as a legitimate publisher in your niche, the faster you start to increase Google Discover impressions. Author Transparency and E-E-A-T Signals That Discover Trusts Google’s E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness) directly impacts Google Discover eligibility. Content from anonymous sources or sites with no clear author identity consistently underperforms in Discover. Author transparency fixes: Every post needs a named author with a linked author bio page The bio page should list credentials, experience, and links to their social profiles or LinkedIn Add Author schema markup with sameAs links pointing to authoritative profiles (LinkedIn, Twitter, Wikipedia if applicable) Write content that shows first-hand experience — personal examples, real data, original screenshots Add a “Last reviewed by [Author Name]” line to evergreen content E-E-A-T is not just a content signal, it is a technical implementation. If your author schema is missing or your author pages are thin, fix them before worrying about anything else to improve your Google Discover traffic. Organization Schema and Site Trustworthiness Google Discover SEO evaluates your entire site, not just the article. If your domain sends weak trust signals, individual articles won’t get distributed regardless of their quality. The organization schema tells Google who legally operates the site. Add it to your homepage, and it should include the following: @type: Organization name, url, logo sameAs links to your verified social profiles contact point with a real email or contact method Beyond schema, these site trustworthiness signals matter: Active SSL certificate (HTTPS, not HTTP) A real Privacy Policy and Terms of Service page A working Contact page No broken links or crawl errors in Google Search Console Clean ad placement pages with aggressive ad layouts are suppressed in Discover Trust is a domain-level score. Build it once, and it compounds over every piece of content you publish. Core Web Vitals: The Technical Gate You Must Pass Core Web Vitals are a confirmed ranking factor for Google Discover traffic. Google uses real world field data from Chrome users, not just lab scores, to evaluate your pages. The three metrics that matter: Metric What It Measures Good Threshold LCP (Largest Contentful Paint) How fast main content loads Under 2.5 seconds INP (Interaction to Next Paint) How fast page responds to clicks Under 200ms CLS (Cumulative Layout Shift) How much the page jumps while loading Under 0.1 How to Track & Grow Google Discover Traffic in Search Console You can’t fix what you can’t measure. Google Search Console has a dedicated Discover report and most publishers either don’t check it

AI search optimization

What AI Sees When It Visits Your Website (And How To Fix It)

Your client’s clinic ranks well on Google. Traffic looks fine. But when their next patient opens ChatGPT or Gemini and asks for a recommendation, a competitor comes up, not your client. This is the AI search optimization problem that most marketing managers did not know they had until 2025. AI platforms do not use your Google rankings. They send their own bots to read your website directly. If those bots hit a wall, a blocked door, a blank page or content hidden inside JavaScript they move on. They find your competitor instead. In this guide, today we tell you exactly what is happening and how to fix it. The 2026 Reality: AI Search Is Not Optional Growing Adoption: Over 50% of U.S. adults now use generative AI tools like ChatGPT and Gemini for research and information gathering. (Source: Pew Research Center) The Rise of Zero-Click: Nearly 60% of Google searches now end without a click, as AI-generated summaries provide the answer directly on the results page. (Source: SparkToro / Datos) Explosive Traffic Shift: Referral traffic from AI platforms to brand websites has grown by over 1,000% in the last year alone. (Source: Adobe Digital Insights) These numbers point to one clear truth in 2026. If AI cannot read your website, you do not exist in AI search. This is not a future problem. It is happening right now for every brand that has not checked how AI bots access its content. SEO vs GEO vs AEO: The 2026 Framework Explained The digital marketing world is running three different games at the same time. Understanding the difference is the first step to winning all three. Factor Traditional SEO AI Search Optimization (GEO / AEO) Goal Rank on Google results page Get cited inside AI generated answers Primary Bot Googlebot (indexer) GPTBot, ClaudeBot, PerplexityBot (retrieval) Content Signal Backlinks and keyword density Structured data, semantic clarity and authority Rendering Need Can handle JavaScript slowly Needs pre-rendered server side HTML robots.txt Impact Block bad bots Block the wrong AI bots and become invisible Success Metric SERP position and organic traffic Brand citation rate in AI answers Schema Markup Nice to have Critical for AI to understand content type 2026 Fact: Google’s own AI Mode now shows AI generated answers for 99.9% of informational queries. If your content is not structured for AI consumption, it will not appear in these answers, even if you rank number one on traditional Google.  Answer Engine Optimization (AEO) is the broad strategy of making your content suitable for direct answers. Generative Engine Optimization (GEO) is its 2024 to 2026 evolution: optimizing specifically for AI based answer generation. AIO optimization refers to the technical side of things, making sure your site structure, server response and schema markup are ready for AI crawlers. How AI Actually Reads Your Website This is the section most digital marketing guides skip. Understanding the mechanics changes everything else. Step 1: The Bot Knocks on Your Door An AI retrieval bot such as GPTBot (OpenAI), ClaudeBot (Anthropic) or PerplexityBot sends a request to your server and identifies itself. This is where the first problem often appears. If your server or content delivery network rejects that request, the bot gets nothing at all and your brand becomes invisible to that AI platform. Step 2: It Reads Only the Raw HTML This is where AI bots work very differently from Google. Google can process JavaScript over time, but AI bots like GPTBot cannot. They only read the raw HTML your server sends. So if your website is built using React, Angular, or Vue as a Single Page Application, there is a good chance the server is sending almost empty content to AI bots. That means the bot does not actually see your real content, it just sees a blank or incomplete page and moves on. Step 3: It Checks Your robots.txt Before they even read your website, AI bots first check your robots.txt file. A very common mistake happens when websites use Cloudflare’s “Block AI Scrapers” feature. It often ends up blocking all AI bots, including the ones used by ChatGPT and Gemini. The result is simple and immediate. Your brand disappears from AI search because these platforms cannot access your website at all. Step 4: It Reads Your Content Structure If the bot can access your content, it reads from top to bottom, paying close attention to key elements that directly impact AI search optimization: H1 and H2 headings that help AI understand your main topic and subtopics The first 150 to 200 words of each page, which AI often uses to build summaries Schema markup in JSON format that explains what type of content your page contains Alt text on images, since AI cannot see visuals and depends on descriptions Internal link anchor text that helps AI understand how your pages connect to each other The GEO Technical Checklist: How to Make Your Website AI Friendly 1. Server side rendered HTML AI bots read only raw HTML from your server. Understanding how AI reads websites is critical because JavaScript-heavy pages often appear empty to them. 2. robots.txt allows GPTBot and ClaudeBot Before crawling, AI Crawlers / Bots check your robots.txt file. If blocked, your website becomes invisible across platforms like ChatGPT and Gemini instantly. 3. Schema markup (FAQ, Article, LocalBusiness) Schema markup helps AI understand your content type clearly. It improves visibility in AI Search by making your data structured and easy to interpret. 4. Structured H1 to H3 heading hierarchy Clear heading structure helps AI scan and extract answers. It plays a key role when running an AI Search Gap Analysis to identify why competitors are being picked over you. 5. Clear author and date metadata AI systems prioritise trustworthy content. Showing author names and recent updates signals credibility and improves your chances of being selected in AI responses. 6. Descriptive alt text on all images AI cannot see images, only read text. Adding descriptive alt text ensures your visuals contribute meaningfully to content

How to see AI Seach prompts in Google search console & AI queries

How To See AI Search Prompts Inside Google Search Console

Quick Summary AI search prompts Google Search Console reveal how users ask real questions, helping you move from keyword targeting to true intent-driven content strategies. Google Search Console AI queries show high-intent, long-tail searches that indicate what users actually want before making a decision. Understanding how to track AI searches in GSC helps you identify impressions with low CTR where AI is using your content without clicks. Google AI Mode search data highlights zero-click behavior, making impressions a critical signal for visibility and demand. Use AI search trends and AI-generated search data to identify gaps, improve content, and stay ahead of shifting user behavior. Master how to analyze long-tail queries and how to extract insights from Search Console to continuously update content and build compounding SEO growth. 📞 Book Free Consultation Your customers are no longer typing short phrases into a bar to find products. They are now using AI search prompts to ask detailed questions like “What is the best eco-friendly running shoe for flat feet under one hundred dollars?” As an e-commerce marketing agency, we know that capturis high-intent trafing thfic is the key to scaling. This data is already hidden in your dashboard, and when you connect it with AI search prompts in Google Search Console, you can start optimizing for Google AI Mode before your competitors do. What Are AI Search Prompts and How They Work in Google Search Console Your customers are not searching the way they used to. Instead of typing “buy running shoes online” they are now asking things like “What are the best running shoes for flat feet under £80 that arrive within 2 days” “Which online store sells organic skincare that is cruelty free and ships to UAE” “Is it better to buy a gaming chair from Amazon or a specialist store with warranty support” These are not keywords. These are full conversations happening inside ChatGPT, Google AI Mode, Perplexity and Gemini every single day. And here is what changes everything for your ecommerce business. Some of this data is already sitting inside your Google Search Console. You just need to know where to look, how to read it, and how to connect it with AI search prompts Google Search Console insights. Brands that understand Google Search Console AI queries are already writing content that matches how buyers actually think. They are showing up inside AI answers, capturing high-intent traffic, and converting at rates that traditional keyword targeting simply cannot match anymore. The ChatGPT Query Leak And What It Proved About Buyer Behaviour A batch of ChatGPT search queries accidentally leaked into Google Search Console data across multiple websites. These were not normal searches. They were full conversational prompts structured exactly the way someone would type into an AI tool. Queries like “What ecommerce brand sells sustainable activewear that is good quality and not overpriced” “Compare protein supplement brands online which one has best value for money in UK” Real buyers are typing full AI style prompts before making purchase decisions. And that behaviour is now permanently woven into how people shop online. This is not a future trend. It is happening in your niche right now. How Google AI Mode Search Data Shows Up In Search Console Here is where ecommerce brands need to pay close attention. Google AI Mode sits at the very top of search results. It generates an AI answer before the user ever sees a product listing or a category page. When your web page gets cited inside one of those AI answers, Google Search Console logs it as an impression. This is real, confirmed Search Console AI data, and it tells you something incredibly valuable about demand in your market. When you analyse AI search prompts Google Search Console data, the breakdown becomes even clearer for ecommerce specifically. Search Behavior: Traditional vs. AI Mode  Metric Traditional Search Google AI Mode Average Query Length 2 to 4 words 8 to 15 words Click-Through Rate (CTR) 3% to 6% Often under 1% What the Data Tells You Which keywords rank What buyers actually want to know Content That Wins Product and category pages Buying guides and Q&A content According to a 2024 BrightEdge study, 58% of Google searches now result in zero clicks because AI answers are resolving the question before the user scrolls down. For ecommerce brands this means impressions are now your most important early signal. High impressions with low CTR does not mean failure. It means Google AI Mode is answering your customer’s question using your content but not sending the click. That is the gap you need to close. Want to know which of your product pages are showing inside AI answers right now? Mount Web Technologies offers a free GSC AI audit for ecommerce brands. Book yours today. How To Track AI Search Prompts In GSC The Exact Method This takes under 20 minutes and gives you data most of your competitors do not know exists. Step 1: Open Google Search Console And Set Your Date Range Go to Performance, then Search Results. Set your date range to the last 3 to 6 months. Shorter periods do not give you enough pattern data, especially when search behaviour keeps shifting over time. Turn on all four columns: Clicks, Impressions, CTR, and Position. Step 2: Apply The Regex Filter To Find AI Style Queries This is the single move that unlocks everything. Click New Filter then Query then Custom Regex and paste this exactly ^(?:\S+\s+){9,}\S+$ This filters your entire query list to show only searches that are 10 words or longer. These long tail search queries are the fingerprint of AI influenced buying behaviour. Nobody types a 14 word product question unless they are thinking exactly the way they would prompt an AI tool. For an ecommerce brand this filter will surface queries like “Best eco friendly water bottle that keeps drinks cold for 24 hours and is under £30” “Where to buy wireless earbuds online with good bass and long battery life

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Mount Web Technologies is a digital marketing partner helping local businesses and ecommerce brands scale revenue.

Useful Links

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Contact Us

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+91 8283022100

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Copyright 2026, Mount Web Technologies. All Rights Reserved.

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