For years, the SEO game in India was pretty predictable: find your keywords, churn out content, build links, and watch your rankings rise. Not anymore. Now that Google’s AI Overviews are crowding the top of search results, and millions are asking ChatGPT, Gemini, or Perplexity for advice, everything’s shifting. Clients don’t just ask, “How’s our Google ranking?”—they also want to know, “Is AI even mentioning our brand?”
Agencies and marketers are starting to adapt—some are giving their services a facelift, others are building new ways to measure success, and many are making quiet but meaningful changes to their content strategies. Here’s a closer look at what’s driving these changes, why SEO in India has its own flavor, and how teams can get ready for AI-driven search without scrapping what already works.
Why Now? What’s Fueling India’s Shift
AI use is exploding.
India’s quickly become one of the biggest and fastest-growing markets for AI assistants. After ChatGPT rolled out its cheaper ‘Go’ plan, OpenAI’s Sam Altman said India cracked 100 million weekly users, putting it just behind the U.S. Perplexity’s user numbers are booming here too, according to recent industry data. The details shift fast, though, so double-check current numbers if you’re quoting them anywhere.
Google keeps changing.
AI Overviews already answer a big chunk of questions right on the search page across many countries. One tracker from Semrush estimated that by early 2026, they featured in around 25% of Google searches—up from 13% at the start of 2025. The numbers move around, depending on which region or type of query you look at, but Indian agencies can all agree on one thing: even if you still rank well, organic clicks are dropping for informational searches.
Indian search habits are different.
You can’t just copy-paste a US or UK SEO playbook and expect it to work here. India’s mostly mobile-first, voice search is everywhere, and growth in smaller cities and regional languages is happening at breakneck speed. Local language, intent, and trust shape the market in unique ways.
How Indian Marketers and Agencies Are Responding
1. Expanding into GEO and AEO
A lot of agencies now offer Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) alongside regular SEO. The goal? Get brands mentioned inside AI answers—not just ranking on the search page. There are already plenty of “GEO agencies in India” listicles, and tools from companies like Writesonic target Indian brands. Still, this is a young space, and much of the information is marketing fluff. Agencies should be transparent about their methods and avoid promising guaranteed AI rankings.
2. Auditing visibility in AI, not just Google
Agencies don’t just obsess over search engine rankings anymore. They’re running AI visibility audits using prompts customers might actually use, checking across ChatGPT, Gemini, Perplexity, and Google AI Overviews. They look for brand mentions, competitors, citation sources, and how the brand’s described. For many, this kind of analysis is a standard part of onboarding now—just like technical audits used to be.
3. Tweaking KPIs and reports
Dashboards aren’t just about rankings and organic traffic anymore. Now, teams track things like:
– How often AI models mention the brand or competitors
– Whether those mentions paint the brand accurately and positively
– Growth in branded search and direct traffic as a sign of influence
– Referrals from AI platforms in Google Analytics 4
– Assisted conversions (and whether leads mention AI in “How did you hear about us?” quizzes)
Because tracing a conversion back to a specific AI interaction doesn’t work the way it did with search, teams rely on a mix of analytics and actual feedback from sales teams and customers.
4. Rewriting content for easy extraction
Content teams write in an “answer-first” way: clear, direct responses under question headings, backed up by details, examples, and data. They add FAQs, comparison tables, definitions, and better headings, all to make it easy for AI to “pick up” and quote their content. This approach helps with featured snippets and voice search results, too.
5. Creating more original, India-focused content
AI tends to summarize whatever’s already online. So agencies push for content that’s truly “citable”—unique data, local studies, expert quotes, and India-specific details like rupee pricing, regulations, or sector trends. Generic global explainers are the easiest for AI to replace.
6. Doubling down on regional and local content
Teams treat regional-language and local SEO as crucial for AI visibility. That means writing in Hindi and other Indian languages (with real native speakers), using correct hreflang tags, completing Google Business Profiles, building detailed location pages, and testing prompts in multiple languages.
7. Strengthening brand and “entity” signals
AI systems rely on how the web describes your brand. Agencies are back to basics: getting reviews, earning mentions in the media and directories, participating in industry communities, and using proper schema markup so AI knows who you are.
8. Upgrading technical SEO for AI
It’s not just about old-school technical SEO anymore. Agencies check that AI crawlers can reach all important pages, content loads without needing heavy JavaScript, robots.txt is configured smartly, and that sites load well—even on cheap phones or slow networks, which are still common in India.
9. Using AI to move faster
Agencies use AI to speed up content planning, outlines, clustering, schema markup, reporting, and audits, but smart teams always have a human check the AI’s work to avoid junk or errors.
10. Setting expectations with clients
Agencies spend more time explaining that AI results are basically unpredictable, vary from run to run, and nobody controls what these models say. They set realistic timelines and reinforce that strong SEO fundamentals still matter, maybe more than ever.
11. Shuffling how they price and package services
Some agencies bundle GEO with ongoing retainers, others offer one-off audits, and some tack AI visibility reporting onto regular SEO service. Pricing is far from standard, so brands should look at what’s actually included, not just the cost.
12. Watching paid opportunities
AI platforms are experimenting with ways to sell paid placements inside their answers. Rules keep changing across markets, so for now, most teams are just keeping an eye on this—not investing heavily.
What Should Indian Brands Do Next?
- Start with a baseline: make a list of 30–100 prompts your customers might use (in English and key Indian languages) and see what shows up on major AI tools.
- Highlight the gaps: note where your competitors get mentioned but you don’t, and which sources AI is citing.
- Fix core SEO stuff: shore up technical issues, boost page speed, and protect your best-ranking content.
- Upgrade key pages: add direct answers, FAQs, original data, expert insights, schema, and clear author bylines.
- Get serious about regional content: write in native languages, keep local listings up-to-date.
- Grow off-site authority: seek out media coverage, expert interviews, reviews, and credible local mentions.
- Track new metrics: add AI visibility to your reporting next to rankings, traffic, and conversions.
- Keep testing: rerun prompts every month or so—models and answers change constantly.
Common Mistakes to Dodge
- Don’t ditch SEO basics in favor of just chasing GEO or AEO—AI often pulls from search to generate its answers.
- Don’t trust anyone who “guarantees” mentions in AI answers—nobody controls AI outputs.
- Don’t publish unchecked AI-written content at scale—a huge risk for quality and originality.
- Don’t treat India as a single market—language, region, and user habits vary a lot.
- Don’t rely on a single AI “screenshot” for proof—answers shift fast and often.
- Don’t ignore accuracy—if AI gets your brand details wrong, find the source and fix it everywhere you can.
- Don’t blindly trust “impressive” numbers—many stats out there aren’t from independent sources. Always verify before using them.
A Note About the Evidence
Most insights into how Indian agencies are adapting come from agency blogs, press releases, or vendor content—not independent research. Numbers about AI adoption or performance jump around and are tough to confirm. Take reported trends as broad guidelines and fact-check anything important before publishing.
The Bottom Line
Indian marketers aren’t leaving SEO behind—they’re building on it to win in an AI-first world. That means combining sharp technical and content basics with GEO/AEO strategies, answer-first and original India-specific content, stronger off-site authority, and regional reach.
The sooner brands adapt, the better their foothold in a market exploding with mobile users, rising AI adoption, and not much top-quality content in many categories. The goal’s simple: stay easy to find on Google, and make it easy for AI to trust, cite, and recommend you.
