#113 How to Win Customers Beyond Google

#113 How to Win Customers Beyond Google
Welcome to the Smart Entrepreneurs Show, the deep dive where we share smart ideas, strategies, and lessons to help entrepreneurs build better businesses. For years, I mean, businesses have focused almost entirely on one goal ranking higher on Google. But the way people search for information is changing, like, rapidly.

Today, people discover products through social media, they ask AI assistants for recommendations, search on YouTube, explore marketplaces, and rely on online communities before making buying decisions. So the big question is, how can businesses continue attracting customers in a world where search is no longer limited to Google? In today's deep dive, we'll explore the future of search and discuss how entrepreneurs can stay ahead by reaching customers across multiple digital platforms. Let's get started.

Yeah, I'm really excited to get into this today because the whole premise of, you know, a single monopolistic search engine dictating all digital discovery, it's basically dead. Right, like a single gatekeeper. Exactly.

Customers are looking, well, literally everywhere else. Social platforms, video networks, generative AI, private communities. The challenge for anyone listening is that the underlying mechanics of how you get found in those new spaces are completely different from traditional search optimization.

So the mission today is figuring out how to actually adapt. We are pulling from a massive stack of research on the new landscape of online search. Whether you are scaling a startup, prepping for a marketing strategy meeting, or just trying to future-proof your own brand, you need to understand where human attention is actually flowing right now.

You really do. Let's start with the root cause of this fracture. Like, why are users abandoning a system that worked perfectly well for two decades? Well, the shift is really happening because of a fundamental change in user intent.

For 20 years, we were all conditioned to think in clumsy keywords. Right, like typing, best running shoes 2024. Yeah, and you'd just accept a page of 10 blue links.

You were willing to do the manual labor of clicking through five different websites just to piece together the answer yourself. Today, users are rejecting that labor. They aren't looking for a list of possible destinations anymore.

They want immediate context, synthesis, and visual proof. I always think of traditional search like buying a giant billboard on the only highway leading into town. Oh, that's a great way to put it.

Right, like if everyone has to drive down that one road, the biggest billboard wins. But it's like the internet just paved a dozen brand new highways overnight, and the traffic has completely rerouted itself. And the crazy part is those new highways don't operate by the same rules of physics.

Traditional algorithms were built on domain authority and backlinks, essentially how many other websites linked to yours. Like the old SEO game. Exactly.

But if a customer is searching on TikTok, that platform's algorithm doesn't care about your backlinks. It cares about engagement velocity and visual relevance. Wow.

Or if they're asking an AI, the AI cares about semantic structure and data clarity. Wow. You are no longer optimizing for one central librarian.

You're trying to communicate with several entirely different intelligences. Which brings us right into the new search engines themselves. Let's look at the actual platforms driving this fragmentation, starting with probably the most disruptive one AI-powered search.

Oh, definitely the most destructive. When someone asks an AI assistant for a product recommendation or a business solution, what is mechanically happening behind the scenes? Like how does a business actually get included in that answer? You really have to understand this concept called RAG. RAG.

Yeah, our RAG, Retrieval Augmented Generation. Okay, break that down for us. So when a user asks an AI a question, it isn't just pulling from its historical training data.

Like a static encyclopedia. Right. It actively scours the web in real time.

It retrieves relevant documents, reads them instantly, and then synthesizes a totally bespoke answer. So AI search engines aren't just indexing web pages for humans to browse anymore. No, they're digesting data to write custom reports on the fly.

So if the AI is doing the reading, your target audience isn't actually human anymore. At least not initially. You have to convince the machine that your information is the most accurate source to pull from.

Exactly. The optimization strategy here shifts from keyword stuffing to absolute clarity. Clarity.

Yes. Large language models crave structured semantic data. If your website is buried in clever marketing fluff, vague taglines, or, you know, complex navigation, the AI will struggle to parse your actual value proposition.

It just gives up. Pretty much. It will abandon your site and pull from a competitor who uses clear headers, belittled lists, and direct answers.

To be cited by an AI, your content has to serve as highly organized reference data. That is a fascinating pivot. Clarity over cleverness.

Wow. But let's swing to the complete opposite end of the spectrum, because if AI is a highly logical text parsing machine, social media search is entirely visceral. Oh, 100%.

People are using platforms like Instagram, TikTok, and LinkedIn as their primary search engines. I mean, I do this myself. Yep, everyone does now.

If I want to see the vibe of a new restaurant in town, I don't use a traditional search engine. I type the name into Instagram because I want to see, you know, a user-generated video of a real person sitting at a table. Right, because you are looking for experience retrieval, not just information retrieval.

Experience retrieval, I like that. You want to see the lighting, the plating, the atmosphere. Social platforms are capturing all this search volume because they answer the unstated emotional intent behind a query.

When a user searches how to fix a leaky faucet on TikTok, they aren't looking for a 2,000-word plumbing manual. No, they want a 60-second visual demonstration from someone in a real bathroom. Exactly.

So the implication for businesses is massive here. You can't just treat social media as a broadcast channel for brand awareness or, you know, posting office vacation photos. You have to treat it as an active search database.

Yes, you need to anticipate the problems your customers are trying to solve and create native content that intercepts those specific queries within the app. And I imagine you have to match the format of the platform, too. Oh, completely.

Take LinkedIn, for example. A B2B software buyer might search for supply chain optimization strategies. The result they want is a highly tactical text-based breakdown from a thought leader, maybe with a carousel of data charts.

Right. The search query might be identical to what they would type into a traditional engine, but their expectation of the format is radically different. Speaking of formats, we really can't discuss the fragmentation of search without dedicating time to the undisputed king of video search, which is YouTube.

Absolutely. It has been a search giant for years. But the research notes its role is expanding even further as users demand more visual proof.

Because YouTube is the ultimate bridge between information and demonstration. And the algorithm there is completely different. It's driven by watch time and retention graphs, not just text indexing.

So just stuffing keywords into your title isn't going to cut it? Not at all. If you want to rank for, say, how to negotiate a software contract, you can't just put those keywords in the title of a boring, poorly lit video. The algorithm monitors exactly when viewers click away.

Wow. OK. If your video actually solves the problem and keeps people watching, YouTube will push it to the top of the search results regardless of your company's overall domain authority.

It democratizes discovery based on actual utility. OK. I need to play devil's advocate here on behalf of our listeners because the workload we are describing sounds, frankly, paralyzing.

Oh, it really does. Right. I hear repurposed content constantly from marketing gurus.

But let's be realistic. A 10-minute horizontally filmed, deeply technical YouTube video does not magically become a high-performing vertical TikTok just by, you know, cropping the sides and slapping captions on it. No, definitely not.

The pacing is different. The hook structure is entirely different. Exactly.

So how does a small team or a solo entrepreneur actually optimize for AI, YouTube, LinkedIn, and TikTok without creating cheap, compromised content that just fails everywhere? That is the exact trap most businesses fall into. They think repurposing means copy-pasting the final asset. But true repurposing isn't about recycling the final video or blog post.

It's about repurposing the underlying research and intellectual property. Give me an example of how that works mechanically. Sure.

Let's say you run a financial consulting firm and you spend 10 hours researching tax implications for remote workers in 2025. That research is your core IP. Got it.

You take that IP and write a deeply structured, comprehensive article with clear headers and bullet points. That serves your website, satisfies traditional search engines, and acts as the perfect structured data for an AI assistant to cite. Okay, so the AI base is covered.

But you don't just read that article into a camera for YouTube, right? Right. You take the core insights and script a native YouTube video. You add visual aids.

You speak conversationally. You focus on viewer retention. Then, for TikTok or Instagram, you don't chop up the 10-minute video.

Right, because that wouldn't work. Exactly. You take one specific, surprising fact from your research, say a little-known tax deduction for home office internet, and you film a dedicated 30-second vertical video with a completely new, fast-paced hook designed specifically for the social feed.

Oh, I see. And finally, you write a text-only summary of the three biggest takeaways for LinkedIn to capture the professional search traffic. That makes so much more sense.

The foundational heavy lifting, the actual research and problem-solving was only done once. You are just translating the value into the native dialect of each platform. Yes, you are surrounding the customer's discovery process.

They might see your short video on social media, ask an AI for more details and get directed to your article, and then watch your deep-dive YouTube video to verify your expertise. Which builds an impenetrable layer of trust. Exactly.

But there is a glaring blind spot in everything we've discussed so far, right? We are still talking our algorithm. Yes, we are. Whether it's an AI model parsing text or a social feed optimizing for watch time, these are still machines mediating the connection between business and consumer.

And right now, there is a massive anti-algorithm movement happening among consumers. The rise of community-driven discovery is probably the most fascinating shift in the research. Totally.

Consumers are suffering from algorithmic fatigue. We know that the first five results in a traditional search engine are sponsored ads, right? Right. And then the next 10 are these highly optimized, soulless SEO articles that take a thousand words to get to the point.

So people are actively bypassing the open web entirely. You see this behavior constantly with what's called the Reddit modifier. Oh, I do this all the time.

Everyone does. Users will type a question into a search bar, but they will append the word Reddit to the end of the query. Because they want real answers.

Exactly. They do this because they are actively trying to bypass marketer-created content. They want the unvarnished, unincentivized consensus of anonymous humans.

It's a massive shift from broadcast marketing to conversational commerce. People are retreating into Discord servers, private Facebook groups, specialized Slack channels, and niche forums. They rely on the collective intelligence of these micro-communities before making a buying decision.

But here's the problem for the entrepreneur. You cannot search-optimize a private Discord server. Exactly.

If you barge into a tight-knit community and start dropping promotional links, you will be banned immediately. Right. So how do you engage? Communities are immune to traditional optimization because they are navigated via reputation capital.

You have to understand the incentive structure of a community. On Reddit, for example, the currency is upvotes, which are granted for authenticity, extreme detail, and zero commercial bias. Makes sense.

If you want your brand to be discovered in these spaces, the mandate is radical helpfulness. So you participate entirely as an educator, not a salesperson. Yes.

You spend time in the forums where your target customers hang out. If you sell specialized coffee-roasting equipment, you hang out in coffee-roasting subreddits. When someone asks a highly technical question about bean cooling times, you write a definitive, incredibly helpful answer based on your expertise.

But you don't link to your product. You don't bitch at all. You just solve the problem.

And over time, I guess, the community recognizes your username. You build reputation capital. And eventually, when someone asks, hey, what roasting machine should I buy for a small cafe? You don't even have to answer.

Five other community members will tag your brand and say, this person gives the best advice on the forum. You should check out their equipment. And the conversion rate on a recommendation from a trusted community member is astronomically higher than any sponsored ad or optimized search results.

Because you are optimizing for human trust, which is the most powerful search engine on Earth. Wow. But relying on Reddit upvotes or TikTok's engagement algorithm or an AI's semantic parsing, it all feels incredibly fragile.

It is fragile. Highly fragile. If social media platforms and algorithmic feeds are like rented farmland, you can grow an amazing crop there.

The traffic is high. The engagement is lucrative. But ultimately, the landlord can change the rules tomorrow.

Without any warning. Exactly. The algorithm shifts.

The platform loses popularity. Or your account gets suspended by some rogue automated filter. If your entire business relies on that rented land, your business could vanish overnight.

Which makes the final strategy in our research the most critical thing for listeners to hear today, which is owning your audience. The fragmentation of search means discovery is inherently unstable. You cannot control where a user finds you, but you must control where they go after they find you.

So if the rented farmland is social media and search engines, the only logical safety net is porting those followers into an ecosystem they can't take away. The ultimate defense against algorithm changes is the humble email list. Or a direct RSS feed for a podcast.

It sounds almost archaic compared to generative AI and algorithmic video feeds. But an email address is a direct line of communication. Right.

When you own the list, you don't have to ask a machine for permission to speak to your customers. You don't have to hope they search for the exact right keyword or happen to scroll past your post at the exact right time of day. You essentially bypass the search phase entirely.

You create a closed loot. The strategy is to use the fractured search landscape, the AI, the YouTube videos, the commuting forums, the social media clips, as a massive top-of-funnel discovery net. Cast it wide.

Right. You cast it wide, natively answering questions on every single highway. But every one of those touch points must offer a compelling reason for the customer to leave the platform and join your own ecosystem.

Offer a deep dive guide, a weekly newsletter, or an exclusive resource in exchange for their direct contact information. Because the reality is search technology will continue to mutate. We went from directories to keyword search to mobile search to AI synthesis.

And we will inevitably move to spatial computing or voice-first interfaces. The interface will always change. But a recognizable brand that consistently educates and solves real problems will survive any shift in the landscape.

Because eventually if you build enough trust and stockpile enough reputation capital, people stop searching for generic solutions. They stop typing best financial advisor, and they start typing your exact brand name. And when a customer searches specifically for you, the algorithm doesn't matter anymore.

You have won the ultimate game of search because you became the destination. To bring this all together for everyone listening, the era of the single search bar is over. Discovery is scattered across AI assistants, synthesizing data, social feeds, prioritizing visual experience, and private communities demanding authentic human connection.

Yeah, it really is. The businesses that will thrive are the ones that adapt their core knowledge to the native language of these new platforms, radically prioritize helpfulness over promotion, and relentlessly funnel that scattered attention into an audience they completely own. It requires a shift from viewing search as a technical engineering problem to viewing it as a human communication strategy.

The tools are more complex, but the underlying requirement providing immense value has never been more important. If you enjoyed this deep dive of the smart entrepreneur show, make sure to follow the show so you don't miss future deep dives and feel free to share your thoughts or experiences in the comments.