Buried inside Alphabet’s October 28, 2026 earnings call was a line that content and SEO teams should pay more attention to than the headline ad-revenue numbers: CEO Sundar Pichai said year-over-year search query growth is “the highest it’s been in the last five years.” He tied this directly to AI — specifically, growth in both overall queries and commercial (buying-intent) queries. No exact percentage was published, and it’s important to be upfront about that gap. But a confirmed, five-year-high growth claim from the company that still handles the overwhelming majority of search traffic is not a small thing to ignore.
This piece looks at what was actually said, what’s reported but less firmly confirmed, and what it should change about how your business plans content for the rest of 2026 and into 2027.
Two things, directly, from the earnings call itself:
Put together, these two confirmed facts tell a clear story: more people are searching, in more ways, more often — but Google is not yet converting that volume into ad revenue at the same rate it does for classic search. That gap matters for anyone weighing paid versus organic investment, which we cover in more detail in our companion piece on what Google’s AI Mode ad changes mean for Search budgets.
Separately, TechCrunch’s reporting of the same earnings call cited additional detail: that AI Mode queries run roughly three times longer than traditional searches on average, that around one in five AI Mode searches globally involves voice, images, or documents, and that Google has surpassed 50 billion visual searches per month. These figures are worth taking seriously given the source, but — in the interest of transparency — they come from a single outlet’s reporting of the call rather than Google’s own published release or multiple independent confirmations at the time of writing. Treat them as credible but single-sourced, not as independently verified statistics.
If even the cautious, fully-confirmed version of this story is true — that query growth is at a five-year high, driven by AI — three practical shifts follow for content and SEO planning, regardless of whether the more specific multimodal figures hold up exactly as reported.
Longer, more complete answers win more often. AI Mode is built around multi-step, conversational search. Content that answers one narrow question and stops is less likely to satisfy a session that includes follow-up questions. Comprehensive pages that anticipate the next three questions a reader would ask — not just the first one — are better positioned for both traditional ranking and AI-generated summaries.
Visual and document-based content is not optional anymore. If even a meaningful minority of AI Mode searches involve images or documents, product photography, infographics, and well-structured PDFs (with real alt text and descriptive file names, not keyword-stuffed ones) become part of core SEO work, not an afterthought handled by a design team separately.
Commercial-intent queries are where the growth is concentrated, per Pichai’s own framing. That is good news for businesses that create genuinely useful comparison, pricing, and decision-stage content — the kind that serves a buyer mid-research, as opposed to purely top-of-funnel awareness content.
Both modes let you set a goal — clicks, conversions, or conversion value — and enter either additional weekly spend or a target result increase. Google then shows a forecast table of the suggested changes and their estimated impact before you apply anything. Nothing changes in your account until you actively approve the suggestion.
This is a confirmed trend without a confirmed number. We know growth is faster than it has been in five years; we don’t know the percentage. We know AI Mode is being used heavily; we don’t have an India-specific breakdown of how that usage compares to the global average Google described. Any business decision should treat this as a strong directional signal — comprehensive, structured, visually complete content matters more, not less — rather than a precisely quantified mandate.
Don’t let conversational and multimodal AI search leave your business behind. At Tejom Digital, we help Indian brands adapt to AI Mode, optimize for answer engines, and build high-converting, decision-stage content that ranks.
A 15-minute session?
Take the first step toward future-proof growth:
For a Direct Business Query: Call us at 99034 72194
For a Quick Consultation: WhatsApp our team at 79807 31010
#SEO #AISearch #ContentStrategy #GEO #AnswerEngineOptimization #DigitalMarketingIndia #GoogleAIMode #ContentMarketing #TejomDigital
Google Ads customer retention goals have moved from beta to wide availability this month, with new Shopping support and a percentage-based value multiplier. Here’s what actually changed, what Google hasn’t confirmed yet, and how to use it to hold onto the festive-season buyers you’re about to acquire.
Google confirmed on its Q3 2026 earnings call that AI Mode ads are scaling to more countries and gaining a new multi-turn ad format, even as Search revenue growth slows. Here’s what Google AI Mode ads in 2026 mean for advertisers already running campaigns in India — and the practical steps to take now.
Discover how Tier-2 and Tier-3 Markets Driving the Next Wave of Social Commerce are reshaping Indian retail. Insights on vernacular video discovery, micro-entrepreneurs, and D2C strategy from Tejom Insights.
Master designed-for-mute creative strategies to boost retention, drive conversions, and dominate short-form video marketing effortlessly.
Discover how CTV programmatic streaming ads bridge programmatic precision and big-screen impact. Learn how brand leaders capture silent-scroll audiences using 3-second hooks, kinetic typography, and omnichannel retargeting.
WhatsApp Click-to-Chat Ads: Converting Meta Traffic Without a Landing Page turns friction into high-intent revenue.
Decode software architecture with Naina’s sharp, corporate-ready breakdown of what a codebase is, why it matters for tech ROI, and how modern digital teams keep it clean.
Discover Full-Stack Website Development at Tejom Digital. We combine AI integration, WordPress, and Shopify to build high-converting digital platforms.
Google just added two new budget-allocation modes to the Recommendations page. This guide breaks down Google Ads Holistic Mode vs Growth Mode — what each one does, which campaigns they apply to, and how to decide before festive-quarter budgets are locked.
Google Ads AI labeling requirements took effect in July 2026, letting advertisers disclose when ad creative is made or edited with AI. Here’s what to check before your festive campaigns go live.
Google quietly added a way to see which of your pages get traffic from image-based searches. This guide explains the new Google Search Console multimodal filter — what it covers, what it doesn’t show, and what site owners with visual product catalogs should actually do about it.
Amazon Great Indian Festival opens October 8, with Flipkart Big Billion Days the same week. This Amazon Great Indian Festival advertising strategy guide walks D2C and FMCG sellers through budget pacing, Sponsored Ads allocation, and daily campaign management for the biggest marketplace sale window of the year.
ASCI’s draft AI content labelling guidelines could reshape how Indian brands disclose AI-generated and AI-enhanced ad creative. Here’s what the draft actually says, its current status, and what advertisers should do before festive-season production scales up.
If you run Google Ads, this Google Ads AI Max migration guide explains what changed when your Search campaigns auto-upgraded on September 1, 2026 — and the specific checks to run this week so automation doesn’t quietly drain your budget before the festive season.
Durga Puja and Diwali fall five and eight weeks from now. This festive season marketing calendar 2026 walks through what Indian brands — especially in Kolkata, Bengaluru, Delhi NCR, and Chandigarh — should be locking in this month to avoid a rushed, underprepared festive push.
In an era where digital content moves at breakneck speed, cutting corners with budget agencies or unvetted freelancers can invite catastrophic legal liability. This ready reckoner breaks down how unlicensed stock photos, stolen vectors, and unverified media assets can result in hefty copyright penalties under Section 63 of the Indian Copyright Act, forced rebrands, and lasting reputational fallout.
