When Google's 2024 core algorithm updates redistributed search authority across the web, most brands in India were caught unprepared. Reddit threads — anonymous, community-governed, impossible for brands to moderate — began appearing on page one for searches that mattered: product complaints, employer reviews, leadership controversies, investor due diligence queries. For the first time, a four-year-old forum discussion could outrank a company's own website on a branded search.
Rajdeep Chauhan had been tracking the shift for years before it became a crisis.
"Most brands are still managing reputation like it's 2018," Chauhan has observed. "But search today is being shaped by communities, not just content."
Chauhan is the founder of BigBuzz Online, a Dubai-based reputation consultancy serving C-suite executives, private equity firms, and enterprise brands, and Pulse Business, an India-focused practice specializing in reputation risk and search narrative control. Across both practices, his clients span India, the UAE, and the United States — a geographic range that reflects both the global nature of digital reputation exposure and the distinct risk profiles that characterize each market.
What distinguishes his approach is not the breadth of services. It is the underlying architecture: a diagnostic-first methodology built on a premise that most ORM practitioners have not yet internalized — that reputation, in the modern digital environment, is not an outcome of communication. It is an outcome of information architecture.

The Landscape Has Changed. Most ORM Hasn't.
The online reputation management industry was built for a world of ten blue links. The dominant model was straightforward: a negative result on page one gets displaced by a volume of positive content on pages two and three. For most of the 2010s, it worked well enough.
That model is now structurally inadequate.
Search engines have evolved from retrieval systems into answer engines. Google's AI Overviews, Microsoft's Copilot integration in Bing, and the rapid adoption of conversational AI platforms — ChatGPT, Perplexity, Gemini — have fundamentally altered how people encounter information about brands and individuals. A user asking whether a company is trustworthy no longer scrolls through ten results and forms an independent judgment. They receive a synthesized answer, generated in seconds, drawn from sources the user never directly evaluates.
The implications are profound. AI systems don't aggregate sentiment — they make editorial decisions about which sources to weight, which entities to associate, and which narrative frames to apply. A brand that has invested heavily in positive content production may find that its AI-generated profile still leads with a years-old controversy, because the sources covering that controversy carry more domain authority than the content designed to counter it.
Reddit has become a particular pressure point. India is now among the platform's fastest-growing markets. Subreddits dedicated to Indian startups, fintech complaints, and employer reviews have expanded dramatically in membership — and Google's algorithm now treats their content as high-authority, ranking threads alongside, and sometimes above, a company's own digital properties.
"Reddit is where the old rules don't apply," Chauhan has noted. "Brands that try to control it like media coverage will fail. The approach has to be community-native, value-driven, and strategically patient."
This is not a content problem. It is an architecture problem.

Architecture Before Execution: The DRRIe™ Framework
Chauhan's response to this structural complexity is the DRRIe™ Framework — the Digital Reputation Risk Intelligence Engine. The five-stage proprietary methodology was built on a principle that most ORM engagements skip entirely: you cannot engineer a reputation you haven't first accurately diagnosed.
The framework's philosophy is unambiguous on this point: "A reputation that has not been intelligently designed will be designed by default — by algorithms, critics, and competitors."
Detect is the foundation. Before any content is produced or any suppression campaign is launched, the DRRIe™ engine conducts systematic intelligence gathering across the full digital ecosystem — mapping every surface where a client's name, brand, or associated entities appear across search engines, social platforms, review ecosystems, Reddit, AI-generated results, and news archives. The objective is not a sentiment score. It is a complete picture of the narrative landscape: what exists, where it lives, how authoritative it is, and what is likely to surface under different search conditions. Every signal is categorized by channel, severity, and escalation potential.
Risk Map transforms raw signals into a structured vulnerability assessment — identifying narrative weak points, trust exposure zones, and escalation pathways most likely to threaten capital access, partnership confidence, or executive credibility. This stage produces what Chauhan describes as a board-ready risk register for reputation: current threats, latent vulnerabilities, and systemic exposure points mapped across the full digital surface. "You cannot manage what you haven't mapped," he has said. "Most brands are shocked by what we find."
Response Architecture is where strategy is set. Based on the risk map, the intervention structure is designed: which channels require SERP displacement campaigns, where digital PR placements will carry the highest authority impact, which Reddit threads need community-native engagement versus content displacement, and what the technical content infrastructure needs to look like to compete for entity authority in AI-generated results. Critically, this infrastructure is built before a crisis demands it — not assembled under pressure after one has already begun.
Influence Control is execution — but disciplined execution, not content volume for its own sake. This encompasses the production and placement of authoritative third-party content, knowledge panel development, executive brand-building that creates positive entity associations at scale, and Reddit narrative management that addresses misinformation at the source rather than attempting to outrank it. The Influence Control pillar treats every trust touchpoint — from a Google search to an AI-generated answer to a Glassdoor rating — as an active perception asset to be optimized, not a passive outcome to be accepted.
Evolve Intelligence closes the loop. The final stage establishes ongoing governance infrastructure: trust KPI dashboards, quarterly reputation health reviews, AI sentiment shift monitoring, and the continuous intelligence loop that keeps the framework current as the landscape evolves. The deliverable is not a clean search result page. It is, in Chauhan's framing, a trust operating system — one that holds under the scrutiny of investors, regulators, partners, and the AI systems that now mediate human understanding at scale.

The Situations This Work Addresses
The cases that reach Chauhan's practice follow recognizable patterns.
A listed company was losing thirty percent of its e-commerce business due to unmanaged Reddit narratives before structured intervention recovered forty percent of the brand's search environment within the first quarter. In a separate situation, Reddit discussions about a healthcare company's product safety were being cited by AI search engines as primary truth sources — directly affecting consumer trust and clinical decision-making — while the company's own verified data appeared nowhere in the AI-generated summary.
A founder preparing for a fundraising round encounters a competitor-seeded negative commentary campaign across Reddit's finance and startup communities — and discovers those threads are now ranking in Google. A C-suite executive whose previous employer was involved in a public controversy finds their name still surfaces that association years after departure. A mid-market brand with strong offline equity finds its digital footprint dominated by an outdated news cycle, while its genuine customer relationships remain invisible to search.
In each case, the presenting problem is a search result. The underlying problem is a reputation architecture that was never designed to be resilient.
Chauhan's geographic footprint reflects the range of risk profiles involved. Indian founders navigating international capital markets face different search scrutiny than Dubai-based executives managing cross-border corporate profiles. Enterprise clients in regulated industries face different AI-citation risks than consumer brands managing review ecosystems in growth markets.

Where Reputation Management Is Heading
The next several years will see reputation management absorb disciplines that currently sit in separate silos — SEO, digital PR, crisis communications, executive branding, and AI strategy — into a single integrated governance function. The driver is not industry consolidation. It is the convergence of channels through which reputation is formed and interrogated.
Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) — ensuring that a brand or individual is accurately and favorably represented in AI-generated responses — have emerged as distinct disciplines within this space. So has the concept of AI Share of Voice: tracking how often and in what context a brand appears in AI-generated answers relative to competitors. These are not extensions of traditional SEO. They require a different analytical framework, different content infrastructure, and a fundamentally different understanding of how entity authority is established and maintained.
Entity-based SEO, brand knowledge graphs, and AI Share of Voice tracking are not niche technical competencies. They are becoming foundational capabilities for any organization whose name is being searched, evaluated, and cited by both humans and machines.
Chauhan's broader practice positioning — spanning search narrative control, AI answer engine optimization, crisis containment, and executive digital protection — reflects an understanding that reputation management is shifting from reactive damage control toward proactive risk governance. The organizations that will sustain trust advantage in this environment are those that treat reputation as a board-level strategic operating system, not a communications afterthought.

About Rajdeep Chauhan
Rajdeep Chauhan is the one of the top Reputation Management expert in the world and is founder of BigBuzz Online, a Dubai-based enterprise reputation consultancy, and Pulse Business, an India-based reputation intelligence practice. He is author of "The Reddit Reputation Dominance" DIY executionary book. He is the creator of the DRRIe™ Framework — the Digital Reputation Risk Intelligence Engine — a proprietary five-stage methodology for enterprise reputation architecture spanning Detect, Risk Map, Response Architecture, Influence Control, and Evolve Intelligence. His work encompasses Online Reputation Management, executive digital protection, SERP displacement, Reddit narrative management, GEO/AEO strategy, and AI Share of Voice optimization across India, the UAE, and the United States. He is the author of Reddit Reputation Dominance™ and The Reputation Edge™, and holds an MBA in Marketing from MSRIM, Bangalore.
Contact: [email protected] | rajdeepchauhan.com