Brands That Are Doing It Right

Brands That Are Doing It Right

In today’s digital age, your brand is considered behind if you don’t have an online presence. That being said, cultivating a visible and consistent online digital presence is difficult. You need to have a concrete brand voice, a touch of creativity and wittiness, and good timing in order to successfully use digital to your advantage. Apart from that, you also need a clear-cut strategy to ensure you benefit from several factors to make the campaign work.

If you’re lost on how to make use of digital for the sake of your brand, you can take inspiration from the following brands both local and abroad that are doing it right.

Angkas

We can’t start a list of brands doing it right without talking about this ride-sharing app. Angkas is known for its witty, casual banter that appeals to many Filipinos, particularly those in the Filipino millennial and Gen Z segment. Its social media pages uses terms such as “panget” to refer to its followers, but does so in a way that establishes familiarity with the audience. It also takes advantage of current trends by using popular memes, events, and more in their content.

Aside from this, Angkas has also been upfront on their stand against the move of the Land Transportation Franchising and Regulatory Board (LTFRB) to limit the number of motorcycle drivers to just up to 10,000 at the start of the year. While a brand taking a political stand would normally be controversial, Angkas has garnered good will among its followers that the hashtag #SaveAngkas even trended worldwide. This is proof of their effectiveness in amassing a loyal following through a combination of good service and lively engagements on social media.

Wendy’s

The international Twitter account for the fast food joint Wendy’s has continuously gained traction because of its hilarious savage Tweets. Whether it’s roasting its followers or roasting its fellow fast food brands, Wendy’s has garnered a good following and engagement on the social media app, and people are always looking forward to what it will say next and to whom. So go ahead and take a look at their feed for some ideas or even for some laughs. Sometimes, the rival establishments even roast them back!

Pizza Hut

Pizza Hut is a popular pizza franchise both here and abroad. While its Facebook page normally posts regular menu items and special promos, it did go viral for its post last January 10 because of its offer of free bottomless cold water on January 14. A lot of people found it funny, several were confused, and some even threw in their ideas on what it could possibly be. On the actual date, those questions were answered with the release of their Chili Cheese Stuffed Crust Pizza. As it turned out, the free bottomless cold water was so their customers could cool down from the spiciness of their new spicy stuffed crust pizza.

This was a great way to direct interest for their new product, as it tickled the curiosity and sense of humor of Filipinos. With 64k reactions, 22k comments, and 41k shares, Pizza Hut were able to capture the attention of their audience to look forward to what was to come on the 14th. They took a gamble in the viral potential of the content, and it paid off if the engagements of the post are any indication.

Shopee

Still got Manny Pacquiao’s “Shopee free shipping!” stuck in your head? Don’t fret, that was probably the intention of Shopee with their roll out of Youtube ads. With the announcement of Manny Pacquiao being Shopee’s newest brand ambassador came the influx of pre-roll ads for their 11.11 Big Christmas Sale before every related video (and even seemingly unrelated ones). Sure, some found it annoying and tedious to get through after a while, but boy did it work in reinforcing the news into everyone’s head. Pre-roll ads such as what Shopee used are effective in delivering its message within a very short period of time. They’re also unstoppable, so brands can get their point across in just a few seconds.

Jollibee

This big local food franchise has always been known for its viral content on social media, hitting the right emotions with videos of heartwarming stories that are truly inspiring. Aside from this, they’re also known for viral commercials, one of which is the Jollibee Burger Steak ad with Anne Curtis complete with a jingle to the tune of Sarah Geronimo’s “Tala”. With the popularity of the song in the recent months, Jollibee teamed up with both Anne and Sarah for a new ad on social media, this time to the tune of Sarah Geronimo’s “Kilometro”.This was a great move on Jollibee’s part as a way to take advantage of the popularity of “Tala” in relation to the ad they did with Anne. By combining the two ambassadors and having them cover another Sarah Geronimo song, they allow the audience to associate the ad with the popularity of the previous song, thereby increasing familiarity and relatability.

Sunnies Face

Sunnies has branched towards several ventures, including sunglasses, a cafe, and of course, a makeup line in the form of Sunnies Face. What makes their brand a part of this list is that aside from their immaculately curated feed, they also integrate their followers’ content on their website. They encourage their followers to use the hashtag #Fluffmate and to tag their account, triggering loads of new content about their products.

This arrangement lets Sunnies Face interact with their followers by making them part of their curated content on the website. Aside from this, with more users posting about #Fluffmatte, this spreads awareness to people who may want to try it as well. If you check this part of their website, you can also see that influencers and celebrities are among the faces posted. With the reach that these people have, the more people are made aware of the brand and its products.

So many brands have used the power of digital marketing to their advantage. But it takes more than just that. It also requires having an effective strategy that takes into account the brand image, target market, the platform, and the message it aims to get across. These strategies worked because of the consideration of the factors mentioned above, but it doesn’t necessarily mean these will work for you. A clear understanding of how said factors apply to you and your brand is needed in order to truly maximize digital marketing for the sake of your products and services.

If you don’t know which strategy works for you, team up with experts from a reputable digital marketing company in the Philippines to know how your brand can do it right!

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AEO and GEO for Local Business: The New Rules of Being Found When AI Answers First

AEO and GEO for Local Business: The New Rules of Being Found When AI Answers First I was looking at our agency’s Google Business Profile the other day. Six months of data. 11,000 views. 2,100 searches. 811 interactions. On the surface, healthy numbers. The kind of dashboard that would have made me nod approvingly two years ago.  Then a question landed that I couldn’t shake: how many potential customers searched for an agency like ours in that same window and never showed up in my dashboard at all — because an AI tool answered for them?  That number is unknowable. And that’s exactly the point.  A year ago, a customer searching “best steak near me” got a familiar result: a map with pins, a list of nearby businesses, a stack of reviews. The job of a local business was simple on paper — climb the list, get the click, win the customer.  Today, more of those same customers are asking that question inside ChatGPT, Gemini, Perplexity, or Google’s own AI Overview. They don’t get a list back. They get a paragraph. Three businesses named. Maybe five. A line or two on each. And a decision made before a single map pin has loaded.  If your business isn’t in that paragraph, you don’t exist for that search. And the search never appears in your analytics.  That’s the whole shift. Everything else flows from it.  What Are AEO and GEO, Exactly? Two acronyms are doing the rounds in marketing circles: AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization). Agencies love debating the difference. For most business owners, it’s a distinction without much of a difference.  Answer Engine Optimization (AEO) is the practice of structuring content so that AI assistants like ChatGPT, Perplexity, and voice search cite your business directly inside their answers. Generative Engine Optimization (GEO) is the broader discipline of shaping how generative AI systems — including Google’s AI Overviews and Gemini — perceive, trust, and surface your brand when customers ask questions in natural language.  Different surfaces. Same game. You’re optimizing to be the named answer, not the clicked link.  The reason it matters now is that the underlying numbers have moved fast. A Pew Research Center study of 68,000 real search queries found that when an AI Overview appeared, users clicked on results only 8% of the time, compared with 15% without one — a relative drop of around 47%. Seer Interactive’s analysis of more than 25 million organic impressions found that organic click-through rates on AI-Overview queries fell from 1.76% to 0.61% between mid-2024 and late 2025, a 61% decline. Gartner is now projecting that 25% of organic search traffic will shift to AI chatbots and voice assistants by the end of 2026. Put differently: zero-click searches now account for roughly 58 to 69% of all queries, with the rise directly correlated to AI Overview rollout.  The link economy that powered local SEO for fifteen years is being replaced by an answer economy. The currency has changed.  Is Google Maps Dying? No — But Its Role Is Changing I get asked often whether Google Maps is on the way out. The answer is no. For near-me, “open now,” and “directions to” intent, Maps is probably more durable than most parts of the search experience. Billions of people use it every month.  What’s changing is the role Google Maps — and your Google Business Profile inside it — plays in the broader search ecosystem.  For the last decade, your GBP was a destination. A customer found it, read it, and called. You optimized it so that final page view converted.  In 2026, your GBP is increasingly a data feed. It’s one of the most heavily weighted inputs AI systems use when composing local answers. Your categories, service descriptions, hours, attributes, photos, reviews, and Q&A are no longer just things humans read — they’re machine-readable signals teaching AI what to say about you when someone somewhere asks.  Three implications most local business owners miss:  Staleness is penalized harder than ever. Industry reporting now suggests that GBP profiles that haven’t been updated with fresh photos or posts in over 30 days can see dramatic drops in impressions. AI systems prefer fresh, frequently verified sources. Your profile isn’t a brochure you set up once. It’s a living feed.  A perfect 5.0 isn’t a trophy anymore. AI systems summarize reviews rather than count stars. They look for recency, volume, diversity of voice, and how owners engage with criticism. A profile with a perfect 5.0 rating and zero negative feedback can actually be flagged as suspicious by AI filters. A 4.6 with 200 recent reviews and thoughtful owner replies often outperforms it. The trust signal is authenticity, not spotlessness.  What isn’t structured doesn’t get counted. AI systems can only cite what they can confidently understand. LocalBusiness schema, service pages with clear question-and-answer structure, and consistent name-address-phone details across directories used to be nice-to-haves. They’re now the difference between being legible to AI systems and being invisible to them.  Look at our own profile again. 80% strength. Google itself is telling us there’s 20% of signal we haven’t given it yet. Multiply that across every local business I know — most are sitting somewhere between 60 and 80% — and you start to see the collective blind spot. We’ve been leaving machine-readable signal on the table for years, because the cost of leaving it there was minimal. In the answer economy, that cost compounds.  Separately, a bigger wave is approaching. Agentic AI — where AI assistants don’t just recommend a business but book the appointment, check availability, and complete the transaction on the user’s behalf — is moving from roadmap to reality. That future compresses the customer journey even further. Whoever the AI picks doesn’t just win the recommendation. They win the booking.  How Can Local Businesses Optimize for AEO and GEO? You don’t need to become technical overnight. But you do need to change what you’re playing for.  Stop chasing rank. Start earning citations.  Five moves matter more than the rest.  Treat your GBP like a product, not a profile. Publish

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Shopify B2B Is Now Available on Every Plan: What It Means for Merchants (and the Playbook to Launch It)

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What replaces it is a harder problem most merchants aren’t ready to face: designing a B2B offer worth buying.  Why Shopify opening B2B to every plan matters The global B2B ecommerce market is worth roughly $36 trillion — an order of magnitude larger than DTC. Most brand founders don’t feel the gap because their entire operating stack (ads, funnels, attribution, CRM) is built for the consumer. Procurement lives in a different universe.  But the signals are almost always there. A retailer DMs asking for wholesale pricing. A clinic chain places five identical orders in a month. A corporate gifting buyer asks for an invoice with payment terms. Most merchants treat these as edge cases. They’re not edge cases. They’re the opening of a second business inside the first one.  Shopify’s own data on merchants already running B2B is hard to ignore:  Up to 4.1x reorder frequency versus DTC  Up to 33% increase in self-serve orders within six months  40% higher average customer spend (Snyder Performance Engineering case)  25% reduction in back-office time  Those numbers don’t come from a new acquisition channel. They come from unlocking revenue that was already trying to happen.  What’s now included on Basic, Grow, and Advanced plans Shopify merchants on non-Plus plans now have access to:  Company profiles for wholesale buyers (separate identity from DTC customers)  Up to three custom catalogs with tailored pricing per buyer group  Volume discounts and quantity rules (tiered pricing, minimum order quantities)  Vaulted credit cards for repeat-order convenience  Payment terms — Net 15, Net 30, Net 60, and custom arrangements  Native integration with Shopify Payments, Shopify Flow, and Shopify Markets  Everything runs from one admin. One source of truth for both DTC and B2B. 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Do you ship to multi-location companies, and how do you handle split invoicing and taxes?  These are commercial questions, not technical ones. Shopify just removed the technical excuse. The brands

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GEO in the Philippines:
Why Most Filipino Businesses—Especially E-Commerce—Are Already Behind

Marv  │  Managing Partner, LeapOut Digital  │  Former Head of Search, Major US Retail E-commerce  │  April 2026 I lead a team of search specialists—SEO and SEM—for one of the largest US retail e-commerce operations before moving back to build LeapOut Digital. I’ve managed search strategy across millions of SKUs, watched consumer intent data at scale, and seen firsthand how a single infrastructure decision can either surface or bury an entire product catalog. When I say most Philippine businesses are not ready for Generative Engine Optimization—I’m not guessing. I’m pattern-matching against what I watched happen in US retail five years ago. We had the same debates. The same hesitations. The same tendency to wait until the problem was undeniable. GEO is the practice of optimizing your content and brand presence so that AI platforms—ChatGPT, Google AI Overviews, Perplexity, Gemini, Claude—cite, mention, or recommend you when users ask questions. Not ranking at position #1. Being part of the answer itself. This article covers GEO for all businesses. But I’m going to spend significant time on e-commerce specifically—because the e-commerce challenge is more structural, more urgent, and more misunderstood than most GEO content acknowledges. 🇵🇭  The Philippine context in one sentence: Filipinos are high-volume, high-trust searchers—and AI search is now inheriting that trust. When ChatGPT or Gemini gives a confident answer in the Philippines, users act on it. Being cited is no longer just a visibility play. It’s a trust play.   1. AI Is Already Deciding What Gets Bought Before we talk strategy, look at what’s already happening. These two screenshots are from real AI conversations in the Philippines on April 2, 2026. SCENARIO 1: “I WANT A DESSERT THAT CAN DELIVER TODAY IN SAN JUAN CITY” AI recommends a specific store, explains why it fits, and suggests an exact order. Beard Papa’s Greenhills won—not because they ran ads, but because their data was accessible. SCENARIO 2: “I AM A BJJ DAD LOOKING FOR INNER SPORTSWEAR THAT CAN DELIVER IN 5 DAYS” AI reads the buyer’s context, filters by delivery reliability, and surfaces specific SKUs with prices and ratings. Decathlon, ZALORA, adidas.com.ph, Nike Philippines won the citation. No ad was served. What these screenshots are telling you: AI is not just answering questions. It is making purchasing recommendations with specific products, specific prices, specific stores, and specific delivery windows. If your brand, product, or store didn’t appear in those answers—it’s not because the AI couldn’t find you. It’s because your data wasn’t structured well enough for the AI to trust you with a recommendation. 2. GEO vs. SEO: The Key Differences Understanding GEO starts with knowing how it differs from—and builds on—traditional SEO services in the Philippines. The table below captures the key distinctions.   3. The E-Commerce Problem Nobody’s Talking About Here’s the conversation I keep having with e-commerce clients: “We have 10,000 SKUs. Our site is on Shopify. We’re running Google Shopping. We’re doing SEO. Why aren’t we showing up in AI answers?” The answer is structural—and it has nothing to do with how much content you have. The Deep Catalog Problem A traditional search engine indexes your pages and ranks them. A generative AI does something fundamentally different: it reads your product data, evaluates whether it can confidently recommend a specific product for a specific user need, and makes a judgment call. For a business with 10,000 SKUs, that judgment call fails for most of your catalog because: Product descriptions are written for humans, not machines. “Premium quality, stylish design, perfect for any occasion.” This tells an AI nothing. It cannot answer “is this good for sweat management?” from that description. Attributes are incomplete or inconsistent. Size, color, material, use case, compatibility—these need to be machine-readable structured fields, not prose buried in a paragraph. Inventory data is stale or siloed. AI agents need real-time stock levels per location. If your inventory system doesn’t sync with your product pages, the AI cannot confidently recommend a product with a specific delivery window. Schema markup is missing or shallow. Most PH e-commerce stores implement basic product schema at best. The full picture—availability by variant, shipping estimates, return policy, aggregate ratings—is rarely structured correctly.   What AI needs vs. what most PH e-commerce stores provide Source: LeapOut assessment framework, industry benchmarks (Mirakl, Creatuity 2026). PH estimates based on client audits.   The Merchandising Disconnect Here’s what makes this worse for Philippine e-commerce specifically: most local brands separate their merchandising team from their SEO team. The people who decide how products are described are not the same people optimizing for search. With traditional SEO, that gap was manageable. With GEO, it’s a structural failure. AI systems make recommendations by synthesizing product attributes, reviews, delivery capabilities, and brand credibility. If your merchandising data doesn’t feed correctly into a machine-readable format, the AI simply skips you—not out of preference, but out of insufficient confidence. The merchandising fix: GEO forces a conversation that should have happened at the start of every e-commerce build: “How will a machine understand this product?” Every SKU needs structured, attribute-level data that answers the questions a customer would ask an expert: What is it made of? What is it best used for? What size/color/variant is in stock? How fast can it deliver to this location? What do verified buyers say about it? 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