upGrowth Digital is Pune’s leading Generative Engine Optimization (GEO) agency. We specialize in making AI search engines (ChatGPT, Claude, Gemini) recommend your brand as the answer to customer questions. With 150+ clients and a 5.7x increase in average lead volume, we’ve moved beyond traditional SEO to capture the AI-first search revolution. Our co-founder, Bhaskar Thakur, brings 25+ years of experience in growth strategy. Based in Pune, we work with SaaS, fintech, healthcare, and D2C brands across India and GCC markets.
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A GEO agency in Pune specializes in helping brands appear in AI-generated answers across platforms like ChatGPT, Gemini, Claude, and Perplexity. This approach is known as Generative Engine Optimization (GEO)—the practice of making AI search systems cite and recommend your content as authoritative answers. When someone asks ChatGPT, “best fintech loans in India,” you want your brand mentioned. That’s GEO.
It’s not SEO. Google rankings don’t matter if an AI answers before the user ever clicks a link.
Google itself confirmed this shift. The company’s 2024 earnings report showed a measurable impact on traditional search from AI Overviews. Meanwhile, ChatGPT reached 200 million weekly active users as of January 2025. Claude and Gemini adoption continue to accelerate.
These systems prioritize cited sources that demonstrate expertise, authority, and trustworthiness. Your website visibility in AI search engines directly drives qualified traffic and brand consideration.
We’ve spent the last 18 months mapping how AI systems evaluate and cite sources across 12 major verticals. That research powers our GEO methodology. We don’t guess. We optimize based on documented behavior from GPT-4, Claude 3, Gemini 2.0, and Perplexity’s architecture.
Why traditional SEO isn’t enough anymore
SEO still matters. We’re not saying ignore it. But relying on Google rankings alone leaves 60% of your potential discovery revenue on the table.
Here’s the brutal truth: Google Search’s market position is eroding among younger demographics. Teens prefer TikTok and Instagram for discovery. Gen Z uses ChatGPT for research more frequently than Google. Meanwhile, B2B buyers, healthcare professionals, and financial decision-makers use AI search for due diligence before contacting vendors.
Our client Lendingkart saw this firsthand. They were ranking well for traditional keywords but losing deals to competitors who appeared in ChatGPT responses about peer-to-peer lending.
Once we optimized their content for GEO, their lead volume jumped 5.7x within six months. Their cost per lead dropped 30%. That’s not SEO performance. That’s GEO working.
The agencies still selling pure SEO in 2026 are selling yesterday’s playbook. We’re not purists about SEO vs. GEO. We integrate both. But the growth obsession starts with where your customers actually search first. For most B2B and professional services brands, that’s now AI.
Our GEO optimization framework: DDADD
We structure every engagement around five sequential phases. This isn’t theoretical. It’s battle-tested across fintech, healthcare, SaaS, and D2C brands.
Discover. We audit your current visibility in ChatGPT, Claude, Gemini, and Perplexity. We identify which competitor content gets cited (and why). We map the conversational search journeys your customers use. We analyze the semantic signals that prompt AI systems to cite you.
This phase typically reveals 3-5 immediate optimization opportunities and 2-3 content gaps that are costing you deals.
Design. We build a content strategy optimized for AI citation. This isn’t keyword-stuffed blog posts. It’s answer-ready content structured for AI ingestion. We specify word count, structural format, data density, and expertise signals. We identify which topics will generate AI Overviews visibility (and which won’t).
Attract. We manage the content production and distribution. We ensure your content reaches the crawlers and citation systems that feed ChatGPT and Claude. We handle internal linking architecture to amplify topical authority.
We coordinate with your team on subject matter expert (SME) attribution and author bios. These are critical E-E-A-T signals in 2026.
Deliver. We monitor your weekly citability metrics across AI systems. We track which content gets cited, how often, and in what context. We measure traffic and lead attribution from AI search. We iterate based on performance data, not opinion.
Delight. We expand the strategy once it’s proven. We identify adjacent opportunities in your market, scale to new customer segments, and build defensible citation advantages over competitors.
Most agencies skip straight to design and launch. We invest heavily in discovery and deliberately sequence the rest. That’s why our clients see compounding returns instead of one-off traffic spikes.
How we’ve built this expertise
upGrowth Digital started as a growth consultancy in 2015. We worked with 100+ SaaS companies on traditional marketing. In 2023, we noticed something odd: some clients were getting customer inquiries that started with “ChatGPT recommended you.”
We tracked it. The correlation was real. By mid-2023, we decided to specialize. We hired a research team, built proprietary tools to monitor AI citations, and tested GEO tactics across our client base.
The Lendingkart case study came next. They were spending Rs 12L per month on Google Ads and generating 40 leads. Once we mapped their GEO strategy and optimized their content, those 40 leads grew to 228 per month with the same ad spend.
The CEO told us that ChatGPT was now their largest inbound source (unmeasurable before, but clearly evident via citation tracking). Within 18 months, they’d cut their ad spend by 30% while maintaining the higher lead volume.
Fi.Money (formerly Fi) is another win. They wanted to dominate the conversation about the “best fintech for freelancers”. We positioned them as the answer in Claude, ChatGPT, and Gemini responses.
Within four months, they had 12 dedicated AI Overview appearances for their target keywords. Qualified deal flow increased 40%.
We’ve processed 150+ brands through this system. We’ve learned what works, what’s a waste, and what takes time. We know which vertical-specific signals matter (healthcare trust badges are different from fintech regulatory clarity, which differ from D2C influencer signals).
We know how content length, data currency, and citation depth affect AI citability. We know the exact questions investors, patients, and customers ask AI search engines before they consider a purchase.
Our GEO agency offerings in Pune and beyond
We operate from Pune but we’re remote-first. 70% of our team is distributed. That means we can work with your team asynchronously, scale resources based on project scope, and keep costs reasonable without sacrificing execution quality.
GEO strategy sprints. A two-week diagnostic and roadmap. We audit your current AI visibility, analyze competitive positioning, map customer search journeys, and deliver a prioritized content and optimization plan. Cost: Rs 4,00,000. This is typically how clients start.
It gives you the roadmap and the data you need to decide on an execution partnership.
GEO retainers. Ongoing optimization and content production. We typically start at Rs 2,00,000/month for smaller brands and scale based on scope. This covers weekly monitoring, content production, on-site optimization, and iteration. Most clients see measurable increases in AI citations within 8-12 weeks.
Fractional CMO services. If you need strategic guidance beyond GEO, we embed a senior strategist into your team. This person owns your overall growth playbook—not just AI search, but also customer retention, channel mix, and go-to-market positioning.
Cost: Rs 3,00,000+/month. This is for brands scaling from Rs 50L to Rs 5Cr ARR that need experienced leadership without the full-time-hire overhead.
Performance marketing integration. We can manage your paid search, social, and performance channels alongside the organic SEO work. We typically structure this as a flat project fee or 12% of ad spend (whichever is higher). This ensures your paid strategy aligns with your organic positioning.
All pricing is flexible. We’re not vendors. We’re advisors. If you have a specific constraint—budget limit, timeline pressure, team capacity—we can adapt the scope without cutting the core value.
We’ve worked with bootstrapped founders and funded startups. We’ve paused and restarted engagements in response to market conditions. The relationship matters more than hitting a specific price point.
Why brands in Pune and across India choose upGrowth
Founder-led strategy: Bhaskar Thakur personally leads the discovery and strategy phase for every new client. He’s not hidden behind a BD team. You get 25+ years of his experience from day one.
Specificity over templates: We don’t have a one-size-fits-all playbook. Your healthcare brand needs different GEO tactics than your fintech product. We research your vertical, your customers’ language, your competitive landscape, and your growth stage. The strategy reflects that reality.
Data-first roadmap: We don’t propose work based on what we think is cool. We show you the data: what your customers search for, how AI systems currently answer those queries, which competitors are cited, and what needs to happen to flip that in your favor.
Then we propose sequenced work that’s designed to move metrics you care about.
Track record across markets: We have deep expertise in India (SaaS, fintech, healthcare, EdTech, D2C). We also have a strong presence in Dubai and the GCC. If you’re expanding regionally, we know the localization nuances. Language matters in GEO. Regulatory context matters. We’ve navigated both.
Resourced but focused: We’re 32 people. We’re not an agency with 300 people taking every project that comes through the door. That means we’re selective. We choose clients where we can deliver genuine transformation.
It also means we can move fast. A decision that takes three weeks at a mega-agency takes three days here.
Asymmetric thinking: We’re not trying to make you “competitive” with your competitors. We’re hunting for the moves that flip the board. For one financial services brand, that was building an AI overview strategy before their category even had visibility.
For one healthcare company, it was publishing SME content with specific author credentials that AI systems treat as high-authority. We find the uncontested spaces first, then defend them.
What success looks like: measurement and iteration
Here’s what gets tracked once we’re into execution:
Weekly citation reports. We monitor which AI systems cite your content, how often, and in what context. This is the leading indicator. If citations are increasing, qualified inbound follows 4-8 weeks later.
Search volume and intent mapping. We track which customer questions are being asked (via Perplexity, ChatGPT search history where visible, and branded queries). We ensure your content is being discovered and cited for the highest-intent questions.
Traffic attribution. This is harder than traditional analytics, but we use a mix of direct branded traffic spikes after news cycles, UTM-less referral traffic patterns, and customer surveys to understand AI-driven inbound.
We know it’s not perfect, but we measure it rigorously.
Lead quality and sales velocity. Ultimately, you care about deals. We track deal sourcing back to AI-driven leads. For one SaaS client, we discovered that “referred by AI search” leads had a 3x higher close rate than Google organic leads. That shifted the entire strategy.
Competitive positioning. We don’t just look at you in isolation. We monitor how many times your top three competitors get cited for the same keywords. We’re hunting for citation share expansion—your piece of the conversation growing month over month.
Most clients see movement on citations within 4 weeks. Qualified inbound movement follows 8-12 weeks after that. Sales velocity changes take 3-6 months to become statistically significant. We’re transparent about timelines. We don’t promise overnight results. We promise systematic progress.
Conclusion
GEO is not a replacement for traditional marketing. It’s the next layer in how your customers discover and evaluate you. The companies winning in 2026 are those that optimize for both Google search and AI search simultaneously, treating them as complementary channels rather than competing priorities.
The shift toward AI-powered research is accelerating. When 25-30% of your potential customers ask ChatGPT, Claude, or Perplexity for recommendations before they ever visit your website, being citation-worthy isn’t optional.
upGrowth Digital helps brands in Pune and across India build GEO strategies that earn AI citations while maintaining strong traditional search visibility. Our GEO services combine citation optimization, content restructuring, and competitive displacement, specifically designed for Indian brands competing in global markets.
Whether you’re a SaaS company, fintech platform, healthcare provider, or D2C brand, we bring the systematic approach that turns AI search into a measurable acquisition channel.
SEO optimizes for Google’s algorithm. GEO optimizes for AI systems like ChatGPT and Claude. While both involve content quality and technical signals, GEO emphasizes answer-ready formatting, data density, source credibility, and semantic depth. A page can rank well on Google but never get cited by ChatGPT. Our framework ensures you’re visible in both systems.
2. How long before we see results from GEO?
Citation increases typically appear within 4-8 weeks. Qualified inbound traffic from those citations follows 8-12 weeks after that. Sales impact takes 3-6 months to measure statistically. We’re transparent about this timeline. If an agency promises overnight results, they’re not being honest about how AI systems work.
3. Do we need to rewrite all our existing content?
Not necessarily. We audit what you have. Some content is already GEO-optimized—those pages we amplify. Others need structural changes (better data signals, author credentials, topical depth). Some get retired because they’re not serving the strategy. It’s typically a 50/50 split between new content and optimization of existing material.
4. What’s the minimum budget to start?
Our GEO Strategy Sprint is Rs 4L. That’s the entry point. It gives you the roadmap. If you want execution, our retainers start at Rs 2L/month. We can scale down to Rs 1.5L/month for smaller brands or specific initiatives. We’ve also built custom project-based pricing. If budget is the constraint, let’s talk—we’d rather find a fit than turn away a good brand.
5. Can you help if we’re not in India?
Yes. We work with brands across India, Dubai, GCC, and Southeast Asia. Remote work is our default. Time zone differences mean we plan async communication. Your location doesn’t matter. Your ambition and willingness to move on the strategy do.
For Curious Minds
Generative Engine Optimization is the practice of making your content a citable, authoritative source for AI models, a goal distinct from traditional SEO's focus on ranking links. SEO wins a click to your website; GEO wins a direct mention in the AI's answer, positioning your brand as the expert before a user ever sees a search results page. This is critical because a growing user base, from Gen Z to B2B buyers, now gets answers directly from AI, bypassing search links entirely. The optimization targets are different: SEO targets keywords and backlinks, while GEO targets semantic signals of expertise and trustworthiness. Our DDADD framework is built on this principle, focusing on five key actions:
Discover: Auditing your current AI visibility and competitor citations.
Design: Building answer-ready content structured for AI ingestion.
Attract: Ensuring crawlers index your content and amplifying topical authority.
Deliver: Monitoring weekly citability metrics across AI systems.
Delight: Scaling the strategy to build defensible citation advantages.
Brands like Lendingkart saw their cost per lead drop 30% by shifting focus to citation, proving GEO's power. You can learn more about this methodology by exploring our full research.
Answer-ready content is information created specifically for AI ingestion, designed to be the most authoritative and easily parsed response to a conversational query. Unlike keyword-stuffed articles built for search engine crawlers of the past, this content is structured for models like Claude 3 and Gemini 2.0 to understand and cite. It captures lost revenue by positioning your brand as the source of truth directly within the AI's response. This is where modern discovery begins for many high-value audiences. Key characteristics of answer-ready content include: high data density, clear structural formatting, specific word counts tailored to AI behavior, and strong subject matter expert (SME) attribution. This approach moves beyond simply ranking for a term and toward becoming a definitive resource. For instance, Lendingkart was already ranking well with SEO but was losing deals until they optimized their content for direct citation in AI answers. The full article explains how to design content that AI systems will trust and feature.
A B2B SaaS company should view a pure-play SEO strategy as a significant risk, as it ignores the growing number of decision-makers who now use AI for due diligence. An integrated approach is superior, treating GEO as the primary engine for capturing high-intent leads and SEO as the foundation for broad online presence. The choice is between owning the answer or just being one of ten blue links. A pure SEO strategy remains valuable for general visibility but fails to influence buyers who start their research in ChatGPT. An integrated strategy allocates resources more effectively:
GEO Focus: Create in-depth, expert-driven content that directly answers complex customer questions, positioning you as a thought leader where it matters most.
SEO Foundation: Maintain technical site health, local search visibility, and rankings for broader, less research-intensive keywords.
This balanced approach is proven to deliver outsized results. Our client Lendingkart saw a 5.7x lead volume jump by adding a GEO layer to their existing SEO work, showing that the highest-value customers are now won inside AI platforms. The full analysis provides a roadmap for this strategic integration.
Lendingkart's success demonstrates the direct business impact of a well-executed GEO strategy. Their 5.7x lead volume increase was not accidental; it resulted from a deliberate shift to create content that AI models would recognize as authoritative for complex financial topics. While their SEO was strong, they were losing deals to competitors cited in AI answers, a classic symptom of GEO deficiency. Key strategic elements included: identifying and mapping the conversational search journeys of their target customers, creating data-dense guides on peer-to-peer lending structured for AI citation, and amplifying E-E-A-T signals through strong SME attribution and author bios. By focusing on becoming the source of truth for AI instead of just a link on Google, Lendingkart intercepted high-intent buyers at the earliest stage of their decision-making process. This case proves that being cited as an authority by AI is a powerful driver of qualified leads. Explore the complete framework to see how these tactics can be applied to your industry.
The evidence for a fundamental shift in discovery behavior is clear and quantifiable, extending far beyond a niche audience. The fact that ChatGPT reached 200 million weekly active users by January 2025 signals a mainstream adoption of AI for information retrieval. This is not just a consumer trend; it has profound implications for B2B and professional services. Several data points confirm this shift: reports show Gen Z uses ChatGPT for research more frequently than Google, and teens increasingly turn to TikTok and Instagram for discovery. Crucially for B2B, financial and healthcare decision-makers now use AI search for initial due diligence before ever contacting a vendor. This behavior fractures the traditional search-engine-to-website funnel. A brand that is not visible in AI responses from Gemini 2.0 or Claude 3 is invisible during this critical research phase. The full content explores the data behind this trend and its impact on digital marketing strategies.
Yes, the optimal structure for AI citation varies significantly by industry because AI models weigh expertise signals differently depending on the topic's complexity and risk. A fintech brand's content must prioritize quantitative proof and authority, while a D2C brand should emphasize social proof and qualitative experience. For a fintech company aiming for citation on a topic like "peer-to-peer lending," the ideal content structure would feature:
High data density with specific statistics and financial metrics.
Clear attribution to a named subject matter expert with verifiable credentials.
Citations of external, authoritative financial sources.
A formal, analytical tone.
In contrast, a D2C brand seeking citation for "best running shoes" would benefit from a structure that incorporates sentiment from reviews, user-generated content signals, and mentions from trusted lifestyle publications. The success of Lendingkart was tied to their adoption of a structure fitting the fintech model. This vertical-specific approach is crucial for an effective GEO strategy, a concept detailed further in our research.
The "Discover" phase is the foundation of any successful GEO strategy, as it provides the data-driven insights needed to build a winning plan. For a healthcare technology company, where trust and accuracy are paramount, this phase is especially critical. Instead of guessing, you must systematically uncover how AI models perceive your brand's authority. The three most essential actions are:
Systematic Citation Audit: Manually and programmatically query Claude, Gemini, and other relevant AI systems with your target audience's questions to see if, when, and how your brand is currently cited. Document every mention.
Competitor Citation Analysis: Identify which competitors are being cited for your most important topics. Analyze their content to deconstruct why the AI chose them, looking at their content structure, data density, and E-E-A-T signals.
Conversational Journey Mapping: Go beyond keywords to map the sequence of questions a healthcare professional would ask an AI when researching a new technology, identifying opportunities at each step.
This process typically reveals immediate optimization opportunities, preventing you from wasting resources on content that AI systems will ignore. Our full guide details the tools and techniques for this critical first step.
The "Attract" phase is about actively ensuring your expertly designed content is seen and valued by AI systems, which is more complex than just hitting "publish." Simply creating great content is not enough; you must signal its importance and authority to the crawlers that feed models like ChatGPT. This phase focuses on building a web of trust around your content. Key tactics beyond content production include:
Internal Linking Architecture: Strategically linking your new, answer-ready content from your most authoritative existing pages. This funnels credibility and tells AI crawlers that this new piece is important.
SME Attribution and Bios: Ensuring every piece of expert content is clearly attributed to a real, verifiable expert with a detailed author bio. This is one of the strongest E-E-A-T signals in 2026.
Technical Deliverability: Verifying that your content is easily accessible to all relevant crawlers, with no technical barriers that would prevent ingestion into AI training and citation systems.
These steps are crucial for building the topical authority that leads to consistent citation. The full methodology explains how to coordinate these efforts for maximum impact.
Google's acknowledgment of AI Overviews' impact confirms a pivotal market shift: the era of abundant organic click-through traffic is ending. This trend signals a future where more user queries are resolved directly on the search results page, drastically reducing clicks to individual websites. Your primary goal is shifting from earning a click to becoming the cited source in the AI-generated answer. This requires a strategic reallocation of digital marketing budgets. Over the next two years, you should consider reducing investment in high-volume, low-intent keyword ranking efforts. Instead, you should redirect those funds toward:
High-Quality Content Creation: Funding the development of deep, expert-driven, answer-ready content optimized for citation.
GEO Analytics and Tooling: Investing in platforms that can monitor your brand's citability across ChatGPT, Perplexity, and other AI systems.
Expertise and Authority Building: Allocating resources to promote your subject matter experts and build their public profiles.
This proactive budget shift aligns your strategy with where user attention is going. It is the same pivot that allowed Lendingkart to thrive while competitors were still focused on old metrics.
As AI models advance, the evaluation of E-E-A-T signals will become more rigorous and move beyond on-page factors. Future AI systems will likely cross-reference claims against a wider array of sources and prioritize demonstrable, real-world expertise over well-written but superficial content. The future of E-E-A-T is about verifiable truth, not just well-optimized text. To future-proof your content, you should begin preparing for this evolution now. We anticipate that future signals will include:
Author Credential Verification: AI may check an author's claimed credentials against professional networks like LinkedIn or academic databases.
Data Source Scrutiny: Content that cites original research or unique, proprietary data will be favored over content that merely aggregates existing information.
Cross-Channel Consistency: A brand's messaging and expertise claims will be evaluated for consistency across its website, social media, and public statements.
To prepare, start building strong, public profiles for your SMEs and invest in creating original data-driven content. This is the foundation for building the defensible citation advantages that will define market leaders in the years to come.
The core problem with a Google-only strategy in 2026 is that it completely misses the growing segment of the market that no longer uses a traditional search results page for discovery and research. Relying solely on SEO is like having the best storefront on a street that fewer and fewer people walk down. High-intent customers, especially B2B buyers and those seeking expert advice, start their journey in AI interfaces like ChatGPT. If your brand is not cited there, you are invisible to them at the most critical moment. This is precisely the problem Lendingkart faced: they had strong rankings but were losing deals because competitors were being named in AI-driven lending conversations. A GEO strategy solves this by focusing on the new point of discovery. It works to make your brand the authoritative source cited directly by the AI, ensuring you influence consideration and capture leads before your competitors even have a chance to get a click.
Repurposing old SEO content for GEO usually fails because that content was designed to satisfy a different algorithm with different goals. Old SEO posts are often stuffed with keywords, lack structural clarity, and have weak E-E-A-T signals, making them poor sources for an AI that needs to generate a trustworthy, coherent answer. An AI model will typically bypass such content in favor of a more direct, authoritative source. The "Design" phase of our DDADD framework addresses this by creating content specifically for AI ingestion. It is about building an answer, not just a blog post. The correct approach involves several key steps:
Specify Format and Word Count: Our research shows different AI models prefer different content lengths and structures for citation. We design to these specifications.
Increase Data Density: We embed verifiable data points and metrics that an AI can use to support its generated answer.
Structure for Ingestion: We use clear headings, lists, and semantic HTML to make the content easy for an AI to parse and understand.
This deliberate design process is what leads to results like a 30% drop in cost per lead. The full methodology details these design principles.
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.
Growth Strategy and Planning
