Reddit Marketing · D2C Cosmetics · India

How a D2C Intimate Care Brand Became the Brand Women Recommend in Online Communities

As AI summaries and community forums became the primary way Indian women discovered personal care products, this brand faced a credibility gap - authentic conversations were absent and negative sentiment was filling the void. They partnered with Heramb to change that.

3�-
increase in positive brand mentions across Reddit, Quora, and Google within 30 days
150+
high-authority community touchpoints strengthened to shape AI citation sources
21+
verified Google reviews seeded in the first week, with 30+ queued across platforms

What Changed in the Market

The Indian D2C personal care market moved faster than most brands anticipated. When women search for intimate hygiene, period care, or skin-safe cosmetics today, they are not landing on brand websites first. They are landing on Reddit threads, Quora answers, YouTube comments, and AI-generated summaries that consolidate everything into a single recommendation.

This shift changed the rules. A brand's credibility is no longer defined by its product page or paid ads. It is defined by what real users appear to be saying - and increasingly, what AI platforms like ChatGPT, Gemini, and Perplexity surface when someone types "best intimate care brand India" or "safe cosmetics for sensitive skin."

For this brand, the risk was specific: negative influencer commentary was circulating without a strong counter-narrative, several YouTube videos with misleading content had gone unaddressed, and the brand's presence in the organic community spaces that AI tools draw from was thin. Competitors were filling that void.

What the Brand Needed

The brand had a strong product and an established customer base. What it lacked was consistent, credible visibility in the places where discovery actually happens - community forums, review platforms, and the citation sources that AI tools rely on when generating product recommendations.

Specifically, the team needed to:

💬

Community Presence

Build authentic brand mentions across Reddit and Quora where women actively seek peer recommendations before buying.

🛡️

Reputation Defence

Neutralise negative influencer outreach, manage misleading video content, and suppress harmful comments across Instagram and Facebook.

Review Infrastructure

Build a credible Google review base and seed positive sentiment across Glassdoor and Ambition Box for full-funnel brand trust.

What We Did

Heramb approached this as a full-stack community and reputation programme, running simultaneously across platforms rather than sequentially.

01

Established a Community Presence Baseline

We audited how the brand was currently referenced across Reddit, Quora, YouTube, Instagram, and LinkedIn. The gap was significant - almost no organic positive narrative existed in the discussion spaces that AI systems and high-intent buyers rely on. We mapped the keyword clusters most searched by the brand's target audience and identified which threads and questions were receiving the most engagement.

02

Activated Reddit and Quora at Depth

Within the first week, our team began seeding authentic posts and targeted comments on Reddit within relevant women's health, skincare, and D2C shopping communities. On Quora, we answered high-visibility questions tied to intimate care and cosmetic safety - framing the brand as a trusted recommendation without overt promotion. Each piece of content was written to hold up independently as genuine value, because AI systems reward exactly that quality of signal.

03

Managed Negative Content and Influencer Risk

We identified and reached out to 10+ negative influencer accounts, successfully converting one collaboration refusal and managing outreach across the rest. Misleading YouTube videos were flagged and actioned - four removals completed in the first two days. Negative comments across Facebook and Instagram were removed systematically, and a daily scan process was established to prevent future accumulation.

04

Built the Review and Trust Foundation

Google reviews were written, queued, and submitted in batches - with 21+ live in the first week and a further 30+ staged for subsequent rollout. Review strategies for Glassdoor and Ambition Box were prepared in parallel, ready for activation once internal approvals were cleared. LinkedIn and Instagram scans were run daily to monitor brand sentiment and catch issues before they compounded.

05

Tracked, Reported, and Refined Daily

Every activity was logged against platform, status, and outcome in a daily reporting structure. This allowed the team to identify which formats and communities were gaining traction and shift resources accordingly in real time. When a payment-related delay paused Instagram comment activity, resources were immediately reallocated to deepen Reddit and Quora volume rather than lose momentum.

"Women in our category research everything before they buy. They check Reddit, they ask on Quora, they read every review. Heramb understood that our real battle was not in ads - it was in the conversations happening before anyone ever reached our website."
- Marketing Lead, D2C Intimate Care Brand

The Outcome

Within the first two weeks of the programme, the brand's community footprint shifted measurably. The volume and quality of positive mentions across Reddit and Quora increased significantly, giving AI platforms substantively more credible source material to draw from when referencing the brand in recommendation queries.

Negative content that had been sitting uncontested was removed or countered. The brand's review infrastructure - previously thin - began to reflect a credible track record across Google, which directly improves how AI Overviews frame brand legitimacy for high-intent searches.

Crucially, the programme established a repeatable daily operating rhythm. Rather than a one-time campaign, the brand now has an ongoing community presence system that compounds - each new piece of authentic content adds to the citation pool that AI systems pull from.

Measurable, Compounding Results

3�-
Community Mention Growth

Positive brand references across Reddit and Quora tripled within the first 30 days, seeding the community narrative AI tools draw from.

21+
Google Reviews Activated

Reviews seeded in week one, with 30+ in queue - building the trust signal Google AI Overviews weight most heavily in D2C category queries.

6+
Misleading Videos Removed

YouTube content that was distorting brand perception was identified and successfully removed within 48 hours of campaign launch.

10+
Negative Influencers Managed

Active outreach to accounts amplifying negative sentiment, with immediate responses and documented outcomes per contact.

150+
Community Touchpoints Strengthened

High-authority sources across Reddit, Quora, Google, Instagram, and LinkedIn improved to reflect accurate, positive brand context.

Daily
Repeatable Operating Rhythm

A structured daily tracking and execution system now runs continuously, compounding brand visibility across every platform that matters.

Methodology Note: Directional estimates based on daily activity logs, platform engagement data, and community visibility tracking. Figures represent observed activity volume, not modelled projections.

These results reinforce why community visibility cannot be treated as a one-time campaign. The brand now has a durable foundation across the sources AI systems use to frame D2C cosmetic and personal care recommendations - and a live programme that continues to build on it.

Audit

AI Visibility & Reputation Audit

Understand exactly how AI platforms and community forums reference your brand today, and which sources are shaping those answers.

Architecture

Citation Architecture Review

Identify which high-authority sources are and are not working in your favour across Reddit, Quora, Google, and AI platforms.

Programme

Measurable, Compounding Programme

Build a durable foundation of credible community mentions that compounds over time and continues to influence AI answers as new queries emerge.

Understanding AI Search Visibility

AI search experiences create answers by pulling information from many places online and summarising it into a single response. Large language models like ChatGPT, Gemini, Claude, and Perplexity review signals from websites, articles, and public conversations to respond to questions. The concepts below explain how organisations can track and improve how often they appear inside those AI-generated answers and recommendations.

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What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesise across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
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What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high-authority sources are the ones most likely to shape the way AI tools summarise and recommend a brand.
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What Is Generative Engine Optimization?
Generative engine optimisation (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centred on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
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What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organisations see whether AI systems consistently include and recommend their brand for key queries - or whether competitor brands are showing up more often.

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