Have you ever tried searching your brand name on Google? If not, you probably should.
Now search it on Reddit. Search it on Threads. Search it on YouTube. Search inside relevant Facebook groups, forums, communities, and marketplaces.
Something interesting may appear.
People are talking about your category, your competitors, and the problems your product solves. They may even be recommending alternatives, asking questions your website never answers, or describing their frustrations in language your marketing team has never used.
And your brand may have no idea.
For years, digital marketing has focused on getting brands into conversations. The next opportunity is learning how to listen to the conversations that already exist.
Think about it as a Conversation Visibility Audit.
It is a practical way to find what customers are saying, what they are asking, who they trust, and where a brand has an opportunity to respond.
Indonesia provides a useful example of how fragmented digital behavior has become.
It has one of the world's largest Internet user bases, with over 230 million users. That alone suggests that there is a large data set covering aspects of consumer behavior.
People also move between platforms constantly. Indonesians use an average of 7.7 social platforms each month and spend 21 hours and 50 minutes per week on social media, including online video.
That matters for marketers because brand discovery now happens in places that traditional search reporting may miss.
Search engines remain the largest reported source of brand discovery in Indonesia at 38.3%. But 32.6% of Internet users also report discovering brands through social media comments. Three in five Indonesians use social media as their primary channel for researching brands online.
The implication is simple. A brand can have strong search visibility and still be absent from the conversations influencing how people make decisions. That is where listening becomes useful.
Most content planning begins with a brand question: What should the brand say next?
If you’re going to start a Conversation Visibility Audit right now, you should be asking what people are really saying instead.
The audit should dig deeper across the digital spaces where customers discuss a category. Depending on the audience, that might include Google, Reddit, YouTube, TikTok, Instagram, Threads, Facebook groups, WhatsApp communities, marketplaces, review sites, forums, and specialist communities.
The platform matters less than the behavior taking place there.
Here are five important questions you should be asking yourself:
The goal is to find patterns rather than collect screenshots. One comment is an anecdote. The same question appearing across dozens of conversations is a signal.
Start with complaints about the category, not only complaints about the brand.
A skincare company may discover that customers repeatedly struggle with confusing ingredient lists. A software company may find that prospects are frustrated by unclear pricing. A financial service may discover that customers understand the product but cannot work out which option suits their situation.
These conversations can reveal a gap between what a company thinks customers need to know and what customers actually want to know.
That gap is a content opportunity. It might become an explainer article, a video, a comparison page, a clearer product page, or a new FAQ. The important part is that the idea came from a real customer problem.
When you search for a particular product, you always look for comparisons on the better product in terms of quality or price.
Search for conversations containing phrases such as:
These questions reveal the criteria people use when making decisions.
A marketer may assume customers compare products mainly on price and features. Conversations may reveal that reliability, ease of use, after-sales support, or availability matters more.
That insight can influence everything from landing-page copy to paid advertising. It can also improve SEO and content designed for AI-assisted search because the brand begins answering questions in the language people actually use.
Some conversations carry a clear buying signal. People ask whether something is worth the money. They ask how long it lasts. They ask whether it works in Indonesia. They ask what happens after they purchase it.
These are questions worth paying attention to because they sit close to a decision.
Reddit's 2026 Path to Purchase research offers an interesting example of how this behavior is changing in the age of AI. Half of US shoppers surveyed said they verify AI recommendations on Reddit before buying. The study also found that more than one in five shoppers now include Reddit directly in search queries when looking for human perspectives.
The research is based on Reddit's own survey of US and UK consumers, so its findings should be read in that context. The broader behavior is still worth watching: AI can provide an answer, while people may then look for real experiences to decide whether that answer holds up.
That makes community conversations relevant to the modern search journey.
Some of the most useful conversations begin with frustration:
These are content gaps waiting to be addressed.
If the same question keeps appearing, a brand has an opportunity to become the source that finally answers it. This can produce useful SEO content, but the benefit goes further. The same material can become a YouTube video, social post, sales resource, chatbot answer, or product guide.
One genuine customer question can feed several parts of a digital strategy.
Customer conversations can also reveal changes in the way people describe a category.
New phrases emerge. Old problems receive new names. Communities create their own shorthand. Younger audiences may describe a familiar product or behavior differently from older customers.
These shifts can be easy to miss when a content strategy relies entirely on an existing keyword list. They matter even more as people increasingly use conversational interfaces and AI tools to find information.
Indonesia's AI adoption is moving quickly. More than a third of Indonesians use ChatGPT each month, while ChatGPT has become one of the country's most visited online services.
That creates an interesting connection between social listening, SEO, and AI search.
The language customers use in communities can inform the questions a brand answers on its own website. Those answers can then support the brand's wider search presence.
The audience may already be changing the vocabulary of the category. The marketing team needs to notice.
Reddit deserves particular attention because many of its communities focus on specific interests, problems, and purchase decisions.
Their research found that half of surveyed US shoppers verify AI recommendations on Reddit. In contrast, 43% of Reddit users surveyed said they visit the platform for stories about long-term product quality that AI cannot provide.
That makes Reddit useful for understanding how people pressure-test recommendations and share experiences. But Indonesian brands should avoid treating Reddit as a universal answer.
Threads had 8.15 million users in Indonesia in late 2025, while its broader figures show the scale of platforms such as Instagram and YouTube.
Where does this brand's audience actually talk?
For one business, that may be Reddit. For another, it may be TikTok comments, YouTube, Facebook groups, WhatsApp communities, marketplaces, or a specialist forum.
Bear Brand used social listening in its Bisa Banget campaign to understand how people were actually using its product. More than half of the brand mentions examined involved unique use cases.
Those real-world use cases became creative executions distributed through social, programmatic advertising, and YouTube. The campaign reached 73.5 million consumers, generated more than 414,000 conversions, and increased brand awareness by 300 basis points.
The interesting part was where the creative idea came from. The audience had already supplied it.
Kopi Kenangan provides another example. With social activity spread across Instagram, YouTube, TikTok, and LinkedIn, its marketing team found native platform monitoring difficult to manage at scale. The company adopted social listening technology to monitor conversations, consumer sentiment, market trends, and competitors across the wider social web.
Both examples point to the same lesson. Customer conversations can become a source of marketing intelligence when someone takes the time to organize what they reveal.
There are many ways you can convert any finding or insight from your Conversation Visibility Audit into actionable outcomes.
Here are some of the insights and possible actionable outcome:
Recurring complaint: Problem-solving content
Competitor comparison: Decision guide
Purchase question: Bottom-of-funnel content
Repeated recommendation: Reveal creator/community relationship worth exploring
Unanswered question: New resource
Emerging phrase: SEO and AI-search content
Recurring criticism: Give the customer experience team worth investigating
Our approach is to look for the connection between the conversation and the business decision. That keeps social listening from becoming a monthly report filled with mention counts and sentiment charts. The question is always: What should the brand do differently because it heard this?
The process can be repeated every month.
First, search the brand, competitors, and category across the platforms where the audience spends time.
Then group what appears into a few useful themes: complaints, questions, comparisons, recommendations, unmet needs, emerging language, influential community members, and brand mentions.
Next, look for repetition and purchase intent.
Finally, decide which findings deserve action.
The strongest findings can feed the next content cycle, paid campaign, SEO plan, social strategy, customer experience initiative, or product discussion. Over time, the audit creates something more useful than a collection of mentions. It creates a record of what the market is trying to understand.
Digital marketing has spent years asking brands to become publishers.
Now there is another skill worth developing - LISTENING.
The Internet is full of people explaining what they want, what confuses them, what they compare, what they recommend, and what they wish existed.
AI can help marketers process large volumes of those conversations. Search data can reveal demand. Social platforms can reveal behavior. Community discussions can reveal the reasons behind that behaviour. But someone still has to connect those signals to a marketing decision. That is where Swarna comes in.
We help brands turn audience conversations into practical digital marketing opportunities, combining research, data, creative thinking, SEO, social strategy, and AI-aware content planning. Because the audience is already giving brands plenty of ideas. The harder part is listening closely enough to hear them.
With the help of our team, you can uncover the conversations shaping a category, turn those findings into useful content, and build a digital strategy around what customers actually care about.
Unveil the secrets of ghost engagement on Instagram with the help of our expert marketers at Swarna!
Let's help you banish the specters and embrace authentic connections for lasting online success.
.svg)
