upGrowth Digital delivers generative engine optimization services that consistently get Indian businesses cited in AI Overviews. We focus on answer-first content creation, authority network management, and strategic distribution to help companies appear in Google’s AI-generated answers. With 150+ clients and documented 5.7x average improvements in qualified lead volume, our GEO framework turns AI search into a measurable acquisition channel. Based in Pune, we work with SaaS, fintech, healthcare, D2C, and EdTech brands across India.
Your content is getting skipped. Google’s showing answers directly now. Users read the Overview and move on. Traditional SEO can still get you a ranking position, but if you’re not cited in that answer, position doesn’t matter.
Generative Engine Optimization (GEO) is the operating system for visibility in 2026. It’s not about replacing SEO. It’s about moving beyond it. We’ve built a service delivery model that consistently cites Indian companies in AI Overviews, and we’re seeing 5-7x improvements in qualified lead volume as a result.
This page is for founders, growth leaders, and marketing teams who know their current strategy is hitting a ceiling and want to understand what GEO looks like in practice.
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Why GEO services matter more than ever
The search landscape shifted faster than agencies could adapt. Most teams are still optimizing for traditional Page One rankings. The problem is Page One has essentially ceased to exist as the primary entry point for many search queries.
Here’s the current reality: When someone searches a specific question into Google, and most meaningful searches are questions now, they get an AI Overview before they see organic results. That Overview pulls from 3-7 sources and presents the answer comprehensively. Users read it and make decisions based on the information it provides.
For your business, this means two things:
First, being ranked #1 is worthless if you’re not cited. We’ve audited companies with solid #1 rankings that aren’t getting any traffic from their top-ranking pages. Why? Because the queries that matter are the ones with AI Overviews. Those overviews cite different sources.
Second, being cited is worth more than ranking. Companies that appear in AI Overviews get higher-quality traffic. These are users who’ve already read your answer and decided you’re credible. They’re not comparison shopping. They’re converting.
We looked at Fi. Money’s visibility last year. They were ranking well for fintech keywords. But they weren’t cited in overviews. We shifted strategy. Now they’re cited in 80% of relevant AI Overviews in their space. Lead quality went up. Conversion rate improved 40%. Paid media CAC dropped because organic GEO traffic converted better.
That’s not hypothetical. That’s what happens when you move from SEO thinking to GEO execution.
The three pillars of our GEO service model
We’ve built GEO delivery around three interconnected pillars. Each pillar serves a specific purpose. Together they compound.
Pillar one: Answer-first content creation
Most content marketing is built backward. Agencies create content around topics they think are important, then hope it ranks. GEO reverses this.
We start by identifying which questions in your category have AI Overviews. Not all questions do. The ones that do are those in which AI-generated answers are available and visible. We focus on those.
Then we build content specifically designed to be cited in those overviews. This isn’t SEO content. It’s source-level content. We’re answering the actual question with data, frameworks, comparisons, or step-by-step instructions. We’re not providing context around the answer. We’re providing the answer itself.
When we did this for Lendingkart, we didn’t create content called “The Guide to Personal Loans.” We created content titled “What Documents Do You Need for a Personal Loan” and “How to Get a Loan If You Have Bad Credit.” These are direct answers to questions people ask. These are the queries with active AI Overviews.
The content then includes structured data, clear section breaks, and authority signals that make it easy for AI Overview generators to pull from it.
Pillar two: authority network management
Ranking in traditional SEO came down to links. GEO is more nuanced. Google’s AI looks at what gets said about your company across the web. Mentions matter. Citations in expert roundups matter. Industry publications featuring your insights matter. Your founder getting quoted in mainstream media matters.
We manage this systematically. We identify high-value networks in your industry where you should be visible. We pitch your stories to relevant publications. We orchestrate expert round-ups that feature you. We build a citation graph that shows Google’s AI that you’re a credible source.
For Vance, this meant getting founder insights into venture publications, positioning the CEO as a category expert, and ensuring they’re mentioned in fintech roundups and analysis. It’s coordinated. It’s strategic. It’s built into the quarterly plan.
Most agencies do this reactively, if at all. We do it as a core service pillar because it directly impacts whether you get cited in AI Overviews.
Pillar three: distribution and scraper positioning
AI systems that generate overviews don’t just read your website. They’re reading across the web. They’re pulling from forums, news sites, social media, directories, and specialized networks.
Your content needs presence across these channels if you want to be cited. This isn’t about being everywhere. It’s about being strategically present in places where:
First, AI training data comes from. Second, active scraping is happening. Third, your target customer is seeking information.
For SaaS companies, this might mean having a presence in product communities, specialized forums, and industry publications. For fintech companies, it means presence in investment communities and financial news networks. For EdTech, it means course directories and student communities.
We build this into execution sprints. We’re not just creating content for your website. We’re distributing strategically across networks that matter for your category.
Our GEO service delivery options
Different companies need different engagement models. We’ve built service options that fit various growth stages and budget levels.
Strategy sprints: Rs 4L (four weeks). You get a focused intensive. We audit your category, map the AI Overview landscape, identify gaps, and build a 6-month execution roadmap. Most companies use this to validate GEO potential before committing to ongoing services. Deliverables include a category audit report, an AI Overview landscape mapping, gap analysis, a 6-month execution plan, and a kickoff session to walk through priorities. Timeline matters here. Four weeks is tight. But you get clarity on what’s possible in your specific market and what it takes to move.
Execution retainers: Rs 1.5L+ per month. We handle ongoing GEO execution. This includes answer-first content creation (4-6 pieces monthly), semantic markup optimization, citation network management, and monthly AI Overview tracking. We focus on 3-5 high-value overviews in your category and systematically own them. We’re not trying to rank for everything. We’re trying to be cited in the overviews that drive qualified traffic. Most clients see citation movement within 4-6 weeks and conversion impact by week 12. This scales as your content library grows.
Fractional CMO: Rs 3L+ per month. For companies that want strategic leadership beyond just GEO execution. We embed a strategist into your team. They’re running the content strategy, managing positioning, coordinating with product teams, and ensuring GEO is aligned with broader growth initiatives. This works for post-Series A companies building serious marketing operations. It’s not right for early-stage startups.
Paid discovery audits: Rs 5K-35K. Want to understand what GEO could look like without committing to a full engagement? This is the model. We dig into your category, show you which AI Overviews you’re missing, quantify the potential traffic, and outline what execution would look like. Most conversations start here. After the audit, you know whether GEO is the move or whether to focus elsewhere. You’re equipped to make that decision with data.
Why GEO services matter more than ever
The search landscape shifted faster than agencies could adapt.
The three pillars of our GEO service model
We’ve built GEO delivery around three interconnected pillars.
Our GEO service delivery options
Different companies need different engagement models.
Vertical-specific GEO strategies
GEO works across sectors, but execution varies based on how your customers search and how AI Overviews appear in your ca.
Vertical-specific GEO strategies
GEO works across sectors, but execution varies based on how your customers search and how AI Overviews appear in your category.
For SaaS and B2B software
B2B buyers ask AI detailed questions. “How to choose project management software,” “What’s the difference between Jira and Monday.com,” “How to migrate from Asana to Monday.com.” These queries have active AI Overviews.
B2B GEO focuses on comparison content, decision frameworks, and implementation guides. Being cited here matters because B2B buyers are still doing deep research. They’re evaluating multiple options. Being in the AI Overview positions you as credible without being overtly promotional.
We’ve built comparison frameworks for multiple SaaS categories. The pattern is consistent: a direct answer to buyer questions, structured data for easy citation, and authority signals that appear in semantic search.
For fintech and financial services
This category is trickier because of compliance. But it’s also high-value because financial decisions are complex and people trust AI-generated answers.
“How to start investing,” “What’s the difference between mutual funds and index funds,” “How to get a personal loan with bad credit,” “What documents do you need to open a bank account?” These are queries with active overviews.
GEO for fintech requires compliance expertise alongside content strategy. We bring this. Our content is answer-first, but it’s also legally airtight. We draw on YMYL (Your Money Your Life) expertise whenever we work in regulated verticals.
For EdTech and skill development
Students ask specific questions before enrolling. “How to learn Python,” “Best digital marketing course,” “How long does it take to learn graphic design,” “What’s the difference between UX and UI?” These are perfect GEO opportunities.
The AI Overview content for EdTech is typically structured around learning outcomes, timeline, and skill progression. EdTech GEO focuses on establishing yourself as a category expert, showing student outcomes, and being cited when prospective students are researching.
For D2C and consumer goods
Product discovery is dominated by AI Overviews. “Best sunscreen for sensitive skin,” “How to remove coffee stains,” “Best budget earphones.” These queries have high commercial intent and active overviews.
D2C GEO focuses on product discovery content, use-case guides, and comparison content. Being cited here drives traffic that converts immediately.
For healthcare and wellness
This is heavily regulated. But it’s also where AI Overviews are most prominent. “Symptoms of anxiety,” “Best treatment for seasonal allergies,” “How to manage PCOS,” “What is the difference between a cold and the flu.”
Healthcare GEO requires clinical expertise and strict adherence to compliance standards. We bring both. We work with medical writers and compliance specialists to ensure content is medically accurate and legally sound.
Case study: how GEO moved a fintech platform to 5.7x growth
Lendingkart’s story illustrates why GEO matters and how systematic execution compounds.
They came to us in late 2023 with a specific problem. They’d invested heavily in traditional SEO. Keyword rankings looked good. But lead volume was flat. CAC was climbing. Conversion rates weren’t improving.
We ran a GEO audit. The finding: they ranked well for SEO keywords, but they weren’t cited in AI Overviews. The game had shifted. They were still playing the old game.
We identified 45 relevant AI Overview queries in their category. They were cited in exactly 3 of them. That meant they were missing coverage.
We built a strategy to own the 10 highest-value overviews. This required:
Content creation: Eight answer-first pieces. “How to get a personal loan quickly,” “What documents do you need to apply for a personal loan,” “How to get a loan if you have bad credit.” Direct answers, not thought leadership.
Authority signals: Founder interviews with fintech publications. Third-party quotes in relevant roundups. Newsletter coverage from influencers in the space.
By month three: They went from 3 to 14 AI Overview citations. Lead volume increased 5.7x. Cost per lead dropped 30%. CAC became predictable enough to scale paid media by 4x.
By quarter four: They owned 9 of their targeted 10 AI Overviews. Growth was compounding.
The math is simple: More citations equals more impressions. More impressions with higher-quality traffic equals better conversion. Better conversion enables paid scaling. That’s the GEO flywheel.
GEO results you can track and measure
We don’t hide behind vague metrics. Here’s what you measure in GEO.
Overview presence: Number of AI Overviews you’re cited in, tracked monthly. This should grow consistently. Most clients see 10-30% monthly growth in citations once strategy is executing.
Citation velocity: How many new overviews you appear in each month. This is a leading indicator of whether your strategy is compounding or stalling.
Traffic from AI Overview sources: Google Analytics now allows you to segment traffic by source type. “Google Search” includes AI Overviews. We track what percentage of your search traffic comes from overview citations specifically.
Conversion rate: Are citations converting better than traditional search traffic? They usually do. We track this separately.
Cost per outcome: For companies running paid alongside organic GEO, we measure overall CAC impact. When organic GEO is working, your paid media gets more efficient because you’re starting from a higher baseline of qualified traffic.
Monthly reporting shows movement on all of these metrics. If citations are growing but conversions aren’t, we change strategy. That’s accountability in GEO.
The GEO advantage in India right now
India’s search market is at an inflection point. Three factors create urgency:
GEO adoption is still early: Most Indian companies haven’t figured out AI Overviews yet. They’re still chasing traditional rankings. You can move now and own your category before competition wakes up.
India’s AI search behavior is unique: English searches are one thing. But Hinglish, Tamil, Telugu, Kannada, each language has different AI Overview patterns. Companies that understand India-specific patterns have massive advantage.
Budget efficiency is highest right now: GEO execution costs less when there’s less competition for distribution channels. Six months from now, talent costs and distribution fees will be higher. The window is open now.
This isn’t speculative. It’s based on what we’re seeing with clients in different verticals across India. The companies moving now are getting 12-18 months of advantage.
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How to get started
You have three options:
Option one:Book a discovery audit. Rs 5K-35Kdepending on category complexity. We spend 2-3 weeks digging into your market, showing you which AI Overviews you’re missing, and outlining what execution looks like. You get clear information to decide next steps.
Option two: Start with a strategy sprint. Rs 4L for four weeks. We map your full GEO landscape, build a 6-month roadmap, and get you ready to execute. Most companies use this before moving into ongoing retainers.
Option three: Move straight to execution retainer. Rs 1.5L+ monthly. We start executing immediately. You see citation movement within 4-6 weeks.
Whichever path you choose, we move fast. Timing matters in GEO. Categories that are uncontested today will be saturated in six months.
The first conversation is free. We’ll listen to your business, understand your growth goals, and tell you honestly whether GEO is the move. If it’s not, we’ll tell you that too. We’re advisors, not vendors chasing every deal.
No. GEO is optimizing for AI-generated answers. SEO is optimizing for ranking position. They’re complementary, but they’re fundamentally different strategies. Both matter, but GEO is where growth is happening right now.
2. How quickly can we see results?
Citation movement typically happens within 4-6 weeks once content is live and distributed. Conversion impact shows up around week 8-12. This is faster than traditional SEO because you’re not waiting for organic backlinks.
3. Do we need to update our existing content or create new content?
Both. We audit your existing content for AI Override potential. Some pieces just need optimization. Others need to be rewritten answer-first. And you’ll need new content for gaps. It’s typically 40% optimization, 60% new creation.
4. What if we’re a B2B company with long sales cycles?
GEO still works. B2B buyers ask questions to AI before reaching out. Being cited positions you as credible and shows up early in the buying process. We’ve had strong results in B2B SaaS.
5. Can we do GEO in-house or do we need an agency?
Both work. In-house execution requires someone who understands AI Overview mechanics, answer-first content, and distribution strategy. Most companies lack this expertise internally. Outsourcing to an agency is usually faster and more cost-effective initially. Once you have playbooks, you can build internal capability.
For Curious Minds
True visibility is no longer about ranking on a page, but about being the cited authority within the AI-generated answer itself. Generative Engine Optimization, or GEO, is a framework designed to achieve this by focusing on becoming a primary source for AI Overviews, which is where decisive users now get their information. Unlike traditional SEO that chases rankings, GEO targets direct citation. This is crucial because users who click through from an AI Overview have already accepted your information as credible, leading to higher conversion rates. For example, by shifting to a GEO model, the fintech company Fi. Money improved its lead quality and saw its conversion rate increase by 40%. This strategy moves beyond simple traffic acquisition to focus on attracting pre-qualified leads who are ready to convert. To understand how this impacts your own metrics, you must first analyze which of your target queries now feature these AI-driven results.
The fundamental difference lies in the objective: traditional SEO builds broad topic authority, while 'answer-first' GEO creates direct, citable answers to specific user questions. Conventional strategies produce comprehensive guides, hoping to rank for many related keywords. In contrast, GEO identifies questions that already trigger AI Overviews and crafts content explicitly to be the source for that answer. For Lendingkart, instead of a generic 'Guide to Personal Loans,' the focus shifted to creating content for queries like 'What Documents Do You Need for a Personal Loan.' This approach directly serves the AI's need for a concise, authoritative answer, making the content more likely to be featured. It reorients content marketing from a tool for ranking to a tool for becoming a definitive source, which naturally attracts higher-quality traffic. This precision is why GEO delivers more than just page views, as it connects you with users at the exact moment of their inquiry.
The success of Fi. Money demonstrates that traffic from AI Overviews is significantly more valuable than traditional organic traffic. Their 40% improvement in conversion rate stems from the fact that users arriving from an overview citation are pre-qualified; they have already read your answer and deemed you a credible authority before even visiting your site. The strategy involved two key pillars: creating source-level content designed to be pulled into AI answers and systematically building an authority network through targeted media mentions. This high-quality organic traffic converted so well that it reduced their reliance on paid channels, lowering their overall customer acquisition cost (CAC). Achieving citation in 80% of relevant overviews means they dominate the conversation where it matters most, moving beyond the vanity metric of a number one ranking to achieve tangible business results. The case proves that investing in GEO is not just an SEO tactic but a core business growth driver.
For a company like Vance, systematically managing its authority network is crucial for being recognized as a credible source by Google's AI. A practical implementation plan should follow a clear, proactive sequence. The process is not about random PR hits but about building a cohesive citation graph. Here is a three-step plan:
Map Your Expert Ecosystem: Identify the key industry publications, expert roundups, and influential journalists in the fintech and venture capital space. This becomes your target list for outreach.
Develop Citable Insights: Package your founder's expertise and internal data into concise, quote-worthy insights. Pitch these stories proactively to the mapped ecosystem, aiming for mentions and features.
Orchestrate Quarterly Campaigns: Build authority management into your quarterly marketing plan. This means coordinating founder quotes in mainstream media with mentions in fintech analysis to create a consistent signal of credibility over time.
This strategic and coordinated approach ensures your brand is not just mentioned, but is consistently positioned as a category expert, which directly influences your ability to be cited in AI Overviews.
The long-term implication is a severe devaluation of traditional number one rankings for many queries. If an AI Overview provides a comprehensive answer, users have little reason to scroll down, effectively turning the top organic spot into a zero-click position. Your business can rank first but receive no meaningful traffic if it is not the source cited in the overview. In response, marketing leaders must shift focus from ranking to citation. This requires adjusting budgets away from legacy SEO tactics like aggressive link building and toward the two core pillars of GEO: developing 'answer-first' content and proactive 'authority network management.' As seen with Fi. Money, a successful GEO strategy can lower paid media CAC by delivering higher-converting organic traffic, providing a clear business case for this resource reallocation. The future of search visibility is not about being on the page but about being the answer.
The fundamental mistake is clinging to an outdated definition of success, where ranking number one is the primary goal. These companies fail to see that the game has changed: relevance is no longer determined by your position on the page but by your inclusion as a source in the AI Overview. This is why a top-ranking page might get no traffic for a key query. The GEO framework solves this by shifting the focus from ranking for keywords to answering questions. It redefines a valuable query as one that triggers an AI Overview, then builds a strategy to be cited within it. By concentrating on creating source-level content and managing a citation graph, as was done for Lendingkart, you align your efforts with how users and search engines now operate. This approach directly addresses the traffic decline by ensuring you are visible where users are actually making decisions.
The concept of 'Page One' is obsolete because for many question-based searches, the primary entry point is now the AI Overview, which appears before any organic links. Users get their answer directly from this comprehensive summary, often without ever scrolling to the traditional results. This means your number one ranking is worthless if you are not cited in that overview. A pivot to a GEO service model is necessary because it aligns your strategy with this new user behavior. While SEO focuses on climbing a list of links, GEO focuses on becoming a trusted source for the AI. This involves creating citable, data-backed answers and building a demonstrable web of authority through strategic mentions, a tactic used for Vance. For any business seeking growth, ignoring this shift means optimizing for a user journey that no longer exists for your most valuable potential customers.
Google's AI evaluates credibility more holistically than traditional algorithms, which heavily weighted the volume and quality of backlinks. The new model assesses a broader 'citation graph,' looking at what is said about your company across the entire web, not just who links to you. This is why proactive authority management is more valuable than passive link building. Mentions in expert roundups, quotes from your founder in industry publications, and features in mainstream media all serve as strong authority signals. These citations demonstrate expertise and trustworthiness in a way that a simple link cannot. For a company like Vance, getting its founder's insights into venture publications is a strategic move to build this citation graph. This systematic effort to be part of the expert conversation directly influences whether the AI considers you a credible source worthy of citation in an AI Overview.
This phenomenon occurs because the user journey has been intercepted by the AI Overview. A user asks a question, Google presents a comprehensive answer at the top, and the user's need is met without ever scrolling to the organic results below, even the #1 spot. The mechanism is simple: the AI Overview captures the click because it provides the value upfront. A company can have a technically perfect, top-ranking page, but if a competitor is the source for the overview, that competitor gets the high-quality traffic. GEO addresses this by making citation the primary goal. Instead of optimizing a page to rank, it optimizes content to become a citable source and builds an authority network to prove its credibility. This was the exact shift that led Fi. Money to a 40% conversion rate increase, proving that the value lies in being the chosen answer, not just the first link.
For a B2B tech company, the discovery phase of a GEO strategy begins by identifying high-intent questions that already trigger AI Overviews, as not all queries do. This process focuses on finding where your expertise can directly intersect with a customer's problem-solving journey. A practical approach involves three key steps.
Analyze Searcher Intent: Use search data to identify long-tail, question-based queries your potential customers are asking, such as 'how to integrate X with Y' or 'what are the security protocols for Z.'
Audit for AI Overviews: Manually and with scraping tools, check which of these high-intent queries consistently generate an AI Overview. Prioritize the ones where competitors are currently being cited.
Map Content Gaps: Analyze the existing AI Overviews to see what kind of information is being pulled. This reveals the exact format and data points, like comparisons or step-by-step instructions, needed to create superior, more citable content.
This initial research, similar to the groundwork done for Lendingkart, ensures your content creation efforts are precisely targeted at opportunities for immediate visibility.
This granular approach improves lead quality by meeting the user at a more advanced stage of their decision-making process. A person searching for a broad topic like 'personal loans' is likely in an early research phase. However, someone searching 'How to Get a Loan If You Have Bad Credit' has a specific, urgent problem they need to solve. By creating content that directly answers this question, Lendingkart attracts a user who is much closer to conversion. This 'answer-first' strategy ensures you capture high-intent traffic. When your content is cited in an AI Overview for such a specific query, the user arrives on your site already viewing you as the solution provider. This pre-qualification is why the traffic is higher quality and, as seen with Fi. Money's40% conversion lift, much more likely to result in a new customer. The strategy filters out casual browsers in favor of active buyers.
The data strongly suggests a user clicking from an AI Overview is psychologically primed for conversion, not comparison. By the time they click, they have already consumed your answer and implicitly accepted it as authoritative, as it was synthesized and presented by Google's AI. This establishes a level of trust before they even land on your website. In contrast, a user clicking a traditional organic link is often still in an evaluation mindset, opening multiple tabs to comparison shop among the top results. The 40% conversion rate increase at Fi. Money is evidence of this difference. The GEO-driven visitor is not shopping for information, they are acting on it. This shift from a skeptical researcher to a qualified lead is the core reason why earning a citation in an AI Overview is a far more valuable outcome than simply earning a high ranking in the list below it.
Amol has helped catalyse business growth with his strategic & data-driven methodologies. With a decade of experience in the field of marketing, he has donned multiple hats, from channel optimization, data analytics and creative brand positioning to growth engineering and sales.