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A highly creative storyteller who can come up with inspired ideas and turn them into even more amazing marketing campaigns, TJ Kiely leads Meltwater's global content efforts. For the past 10 years, he has been executing marketing campaigns and content programs that drive measurable results for some of the world's largest brands. 

Director of Corporate Marketing & Global Content

See all blogs written by TJ Kiely, Director of Corporate Marketing & Global Content at Meltwater. Social media management ★ digital marketing ★ ...

Author: TJ Kiely

Generative AI in advertising is no longer a futuristic concept — it’s happening now, and it’s shaking up the marketing and ad industry as we know it. 

From creating content to hyper-personalizing offers, marketers using generative AI have a massive canvas to work with. We’re still very much in Wild West territory, where every new discovery leads to more uncharted territory.

Like any new frontier, generative AI in advertising raises many questions: How can you use generative AI tools for ad campaigns? Is using generative AI in advertising ethical? How will gen AI impact the future of advertising?

Let’s explore these and other details of using generative AI to create smarter, more effective ad campaigns.

How Is Generative AI Used in Advertising?

Key Advantages of Generative AI in Advertising

Real-World Applications of Generative AI in Advertising

Challenges of Implementing Generative in Advertising

Choosing the Right Generative AI Advertising Tools

AI-generated advertising refers to using artificial intelligence tools to handle some or all of an ad campaign. AI can apply to any stage of the campaign process, from ideation and creative development to launching and tracking performance.

It’s no longer a question of “if” AI can be used in advertising. Major brands like Coca-Cola, Heinz, and Sephora have already said yes to gen AI tools, and they’re certainly not the only ones. 

Today, it’s a matter of “how” to use generative AI across the campaign process. Marketers are still figuring out all the nuts and bolts and where AI fits, but every campaign creates new learning opportunities.

For many brands, gen AI isn’t just a tool; it’s becoming a creative partner. Generative AI can handle everything from developing creative elements to defining customer personas to analyzing campaign performance and audience data. 

Because generative AI tools do much of the heavy lifting, marketers can spend more time on ad strategy and focused work. 

It’s estimated that 45% of brands are already using generative AI in their marketing, and another third have plans to do so in the future. So far, opportunities include:

Choosing the right communication channels and timing for launching ads

Finding trends and topics to capitalize on via trendjacking strategies

And the list keeps growing — new tools and use cases are developed every day. AI is like a giant sandbox where brands can play around with its potential and find more ways to augment their creative processes.

TIP: Download our Ultimate Guide to AI for Social Media Management to see how AI can supercharge your social strategies!

Generative AI for ads offers attractive benefits to marketers, particularly as marketing budgets continue to shrink. AI tools can assume some of the responsibilities that busy marketing teams have historically managed hands-on, allowing them to roll out complex campaigns in a matter of days or weeks, not months.

Here’s why more marketers are exploring AI technologies for advertising.

Generative AI acts like a brainstorming partner who can come up with lists of ideas in minutes. Having fresh perspectives can empower your human creatives to think in different directions and turn AI-generated ideas into inspired campaigns.

Save time by creating first drafts in seconds

Generative AI’s core advantage is in its name. It can “generate” written or visual content based on what you tell it to do. For instance, it can write anything from email subject lines to multi-paragraph articles in seconds. Tools like ChatGPT are conversational, so you can refine its outputs without having to start over each time.

There are caveats to using AI-generated content, though. Keep in mind that AI tools can’t “think” of new content; it generates content based on its training data, so originality is not its strong suit. 

Outputs require editing to make them unique and add your brand flavor. Otherwise, you risk unintentional plagiarism that can damage your brand image.

Maintaining a consistent voice and tone poses challenges, especially among large teams where in-house creators, influencers, and freelancers are all creating content. Brands can train generative AI tools to develop content according to their brand guidelines. Companies can prioritize brand integrity while scaling their marketing efforts.

Generative AI can handle a wide range of tasks, from copywriting to graphic design. Like the Swiss Army knife of content creation, these tools can help brands produce their own assets faster and at a lower cost. 

Level the playing field for smaller businesses and brands

Smaller teams (with smaller budgets) don’t have the tools or expertise to compete with larger competitors. AI tools can help level the playing field by allowing teams to do more with fewer resources.

Users can gain an advantage at every phase of the advertising process, from creating content to analyzing data — and everything in between. This may allow teams to do more of their advertising in-house rather than relying on pricey ad agencies.

Get in-depth data analysis from campaign performance

Analyzing campaigns allow brands to adjust future ads. Once a campaign concludes, generative AI can review the data and create reports and insights based on numbers, not feelings. 

AI tools may be able to find hidden insights or patterns and share in plain language your biggest wins and opportunities for improvements.

Meltwater's AI-powered social and media intelligence solutions can drive productivity while uncovering valuable insights for your org. Click here and fill out the form below to see it in action! 

World-class brands are using generative AI in all phases of the advertising process, including full-fledged commercials and campaigns that promote AI’s new (and likely permanent) role in advertising.

Let’s look at a few examples of brands that are finding the balance between generative AI and advertising — and promoting the potential of AI in the process.

Coca-Cola’s Unexpected Santa ad is 100% AI-generated and underscores the power and curiosity of this technology. The brand collaborated with multiple studios to create a series of AI-generated ads for Christmas, featuring iconic brand elements like the script-style logo, red trucks, a polar bear, and Santa Claus.

The brand did face some backlash from customers, with some calling the ads “soulless” and lacking human creativity. Comments like these are common and expected when introducing new ideas and technologies. 

This ad series can serve as a learning opportunity for other brands as they explore how to use AI and maintain authentic human connections.

Condiment powerhouse Heinz asked an AI tool to draw ketchup. The brand has crafted a powerful image that its customers can recognize even without logos or words. 

AI proved the brand’s legacy by recreating images of ketchup that resembled a bottle of Heinz, including colors, bottle shapes, and labels. It used these AI-generated images in an ad campaign to show that Heinz is what ketchup looks like, making it a clear choice for consumers.

The company took the campaign a step further by asking its followers to do the same. Users could share their images with the brand, giving them a wealth of user-generated content that they could post on social media or repurpose in other ways.

The Mint Mobile x Ryan Reynolds collab was one of the first of its kind. Reynolds openly shared that he asked ChatGPT to write an advertising script, creating a layer of transparency about using AI.

The results were equal parts humorous and original. This tongue-in-cheek approach to AI represents a literal use of AI in advertising. It introduces AI’s potential in creative copywriting while subtly underscoring the need for human creatives. 

TIP: If you're curious about how to start using AI, check out our blogs about AI tools for Copywriting, PR, and Communications!

Choosing to bring generative AI and advertising into the same sphere isn’t a decision to take lightly. Brands need to understand safety and ethics in AI and train human teams to work with and not against AI tools. 

Common challenges of using generative AI for advertising include but are not limited to:

Fact-checking AI-produced content before it goes live

Not over-relying on AI tools to produce ad content or insights

Struggling with originality or creativity

Maintaining emotional, human-driven connections

Choosing AI tools and implementing them into workflows and processes

Keeping pace with rapidly changing technologies

Calculating the total cost of campaigns 

Producing unpredictable outcomes or off-brand content

As the old saying goes, If it were easy, everyone would be doing it. 

The reality is that while generative AI for advertising is growing in practice, it’s still an art form that needs to be mastered. Acknowledging and overcoming these and other challenges will be key to creating AI campaigns that resonate.

A quick Google search for generative AI tools gives marketers plenty of food for thought. It’s almost overwhelming. 

Popular examples of generative AI tools for advertising and marketing include:

Claude AI (useful for analyzing data or reports)

Meltwater (for consumer insights and trend analysis)

Marketers are in various stages of implementing AI into the advertising mix. McKinsey breaks it down into three distinct tiers of sophistication:

<table class="table-primary alternate-color">
<thead>
<tr>
<th></th>
<th><b>Getting started with gen AI</b></th>
<th><b>Customized gen AI solutions</b></th>
<th><b>Transformative gen AI</b></th>
</tr>
</thead>
<tbody>
<tr>
<td><b>Approach to marketing</b></td>
<td>Integrate mostly off-the-shelf generative AI (gen AI) software into existing workflows to drive incremental changes in efficiency and effectiveness.</td>
<td>Lightly tailor foundation models for use cases. Use both gen AI and nongenerative AI solutions in tandem to accelerate chains of action.</td>
<td>Use a full suite of digital and AI capabilities, including customized gen AI solutions. Humans define objectives and monitor performance but are otherwise not "in the loop."</td>
</tr>
<tr>
<td><b>Examples</b></td>
<td>A retailer increases efficiency in creating copy for email communications by using ChatGPT for first drafts.</td>
<td>A telco increases personalized communications to its customer base by tapping gen AI to generate creative copy and imagery. Humans review and approve content, and machine learning decides which customer gets what communications.</td>
<td>A home improvement retailer trains a gen AI model on its corpus of information about home improvement projects. Gen AI is embedded into an app, which is used to provide project guidance to customers during in-store experiences.</td>
</tr>
</tbody>
</table>


Every company starts somewhere, even if it’s just creating a few lines of copy for a one-off campaign. Choosing when or whether to move to the next stage is up to each brand or business, but it’s clear there’s potential for making AI a natural part of the advertising ecosystem.

Big brands like Coca-Cola and Heinz are leading the way in using generative AI in advertising, but these tools are fair game for companies of all industries and sizes. Gen AI is changing advertising not just in terms of what we see but also how ads are developed, monitored, optimized, and analyzed. 

Explore how generative Al is reshaping advertising with improved creativity, 
efficiency, and personalization. Learn benefits, challenges, and best practices.

Generative AI for Ads: A Comprehensive Guide

Today’s marketers face a relentless flood of data from every direction. For many, navigating this sea of information feels overwhelming, if not impossible. But AI marketing insights are changing things for the better. 

AI and data analytics provides a life raft to marketers who are drowning in data. Between measuring engagement rates, search engine rankings, conversions, cost per lead, and a myriad of other KPIs, every insight feels like a priority. 

With AI marketing insights, marketers can make sense of more data in less time — and know what to do based on those insights.

Let’s explore the role of AI marketing insights and how they help you shift from merely tracking performance to confidently driving strategic decisions.

Real-World Applications of AI Marketing Insights

Challenges in Leveraging AI Marketing Insights

Best Practices for Using AI Marketing Insights

Transform Your Strategy with AI Marketing Insights from Meltwater

AI marketing insights use advanced algorithms and AI-driven technologies to connect the dots between data points. AI can analyze vast amounts of data quickly and find hidden patterns that might not be obvious to the human eye. 

AI reviews the data, but it doesn’t just spit out numbers and facts. It takes the next step in spelling out what the data means and can even make suggestions on what to do next.

Using AI to analyze marketing data helps marketers surface insights in everything from consumer behavior to market trends. These real-time insights can help predict future behavior, which can help generate more targeted campaigns.

For example, a clothing business might segment customers into broad categories, such as “women’s clothing” and “men’s clothing.” Without AI personalization, broad segmentation may fall flat and fail to capture the nuances of what attracts each customer. 

An AI algorithm can analyze a customer's browsing history, past purchases, and engagement with email campaigns to predict their preferences. For example, a customer who frequently browses athletic wear might want to see more of this type of clothing in their emails. 

Using AI in marketing analytics can help marketers execute more effectively across the entire marketing spectrum. It can help with all of the following:

Improve decision-making with real-time insights to optimize every campaign.

Automate repetitive tasks to free up time for strategy and focused work.

Proactively adjust budgets and ad placements based on forecasted trends, behaviors, and campaign performance.

Scale marketing efforts without compromising on quality or personalization.

Optimize ad spend and other resources to reduce waste.

Re-engage customers to boost loyalty and retention.

Stay ahead of competitors by identifying untapped opportunities and responding quickly to market changes.

Finding key marketing insights manually is like finding the proverbial needle in the haystack. It’s doable, but it takes considerable time and resources. Adding AI marketing insights is like finding that same needle with a metal detector — it’s faster, more efficient, and delivers optimal outcomes.

TIP: To learn more about how AI marketing insights can help you supercharge your customer segmentation, download our Personalization at Scale guide!

Businesses across industries can benefit from AI marketing insights. It’s all about learning who your customers are, how they react to messaging and trends, and what drives them to choose you and take action.

Let’s explore how different industries can apply AI in marketing analytics.

Retail: Predictive product recommendations

Using AI, retailers can analyze customer purchase histories and browsing behaviors to suggest products. AI can also predict future trends to know what to stock in their stores that customers are likely to buy.

Healthcare: Patient engagement and education

Healthcare providers can use AI to send tailored reminders for annual visits, check-ups, or medication refills based on patient histories. It can also deliver educational content to patients based on specific conditions or health goals, leading to higher engagement and trust.

Hotels use AI marketing insights to adjust room pricing based on demand, seasonality, and competitor rates. They can use this same approach to personalize guest experiences with dynamic discounts or add-on packages to enhance their stay.

AI marketing insights can help E-commerce companies understand the reasons behind cart abandonment and automatically follow up with shoppers. Based on AI findings, the follow-ups might include special incentives to complete the purchase, such as a coupon, discount, or low-stock alert.

Streaming platforms like Netflix and Spotify use AI insights to recommend new content to users. It examines preferences, watch history, and engagement, then serves up new recommendations to increase customer satisfaction and retention.

AI marketing insights can help car dealers prioritize leads based on website data that indicates purchase intent. Sales teams can focus on high-value prospects and send personalized offers to increase conversions.

Gyms and fitness apps can send workout recommendations to engage members and help them reach their goals. AI can suggest workouts based on activity level, goals, and other factors. Members who see results may be less likely to cancel memberships and more likely to recommend the gym or app to others.

Restaurants: Menu customization and promotions

AI can alert food and beverage companies about new flavor trends or buying habits. They can use these insights to create new menu options, re-examine price points, and deliver targeted promotions.

TIP: See how Pernod Ricard uses AI marketing insights from Meltwater's consumer intelligence tool to analyze flavor trends and create new cocktail flavor combinations!

The benefits of AI marketing insights shine brightly. Still, many marketers struggle to bridge the gap between theoretical benefits and successfully executing AI in their marketing analytics. Several challenges add various layers of complexity, including the following:

Marketers need to place a great deal of trust in their data if they’re relying on it to make decisions. AI depends on high-quality data too, but marketers often struggle with fragmented, incomplete, or outdated datasets. Integrating data from multiple internal sources can also be time-consuming and complex.

Adding AI tools to familiar platforms can mean steeper learning curves and compromises in how to use the tools together. Integrations are often necessary so the AI has access to the most complete data, which leads to better outcomes.

Using consumer data for AI insights might not align with privacy laws like GDPR or CCPA. The mere thought of ethical AI principles can be daunting for marketers.

Marketers may lack the technical skills they need to use AI tools effectively. However, it’s worth noting that some AI tools are democratizing the process, making them user-friendly regardless of skill level or knowledge.

While AI can streamline processes, over-reliance on them may mean a loss of the human element. This can result in marketing messages that feel hollow and inauthentic, which can be a turnoff to your customers.

Teams get used to doing things a certain way. Resistance to change is common, but it can make trying new (and potentially better) methods a little scary. This resistance can lead to “analysis paralysis” and slow down adoption rates of AI technologies.

AI can produce helpful insights, but marketers might lack the expertise they need to use these insights effectively. The misunderstanding of data can happen with or without AI tools. One workaround is to use AI solutions that, in addition to generating insights, also explain how the insights were generated, what they mean, and why they matter.

See how Meltwater's consumer intelligence solution turns data into valuable, easily digestible insights for your organization. Click here and fill out the form below for a personalized demo!

Adding AI marketing insights to your strategy can give you pieces of the puzzle you didn’t realize were missing. When applying AI to your existing tools and processes, these best practices will help you minimize change and maximize impact.

Understand AI’s role and potential limitations

AI can be a powerful addition to your marketing analytics, but it’s not a crystal ball to answer all of your questions. AI has a role to play, just like your other technologies and human analysts. 

Define what that role is and how it can enhance the way you analyze marketing data. For instance, do you want to apply AI to predict new trends, understand consumer behavior, or uncover hidden needs?

Also, recognize that while AI can give you the insights you need, there might be issues with its outputs. For example, AI relies on the quality of the data you feed it, so errors might skew results. AI requires oversight to make sure its recommendations align with your business goals.

TIP: AI tools are also known to produce hallucinations, or made-up data, in an effort to give you the response it thinks you’re looking for. It’s a best practice to always ask your AI tools if any data or examples it gives you are actual or hypothetical; they will usually tell you. 

Choose specific problems to solve with AI

When adding AI to your existing processes, it’s best to start small and scale gradually. This gives you time to test your AI tools and surface its value and limitations, allowing you to decide the best way to use it.

For example, do you want AI to help you make sense of the customer journey? Solve personalization challenges? Once you know where to implement AI, you can start building out processes and testing its impact.

Use AI to complement human creativity (not replace it)

AI can handle data-heavy tasks and provide insights, but leave the creativity to humans. Your creative team and AI can work together to achieve common goals. 

Maintaining the human element lets you create campaigns that emotionally resonate with your audience.

TIP: Download our new guides to AI for Social Media Management and AI for PR and Communications to learn more about how AI can complement your team's creative output!

AI isn’t perfect, so make sure you review AI-generated insights and match them against what you already know. This will help you build trust in the AI models so you can make confident decisions. 

If the AI generates something that doesn’t seem right, you might need to refine your approach. This might be using a different prompt or adding more specific filters, for example. 

AI is evolving quickly, and its power and potential are still largely untapped. Keep up with the latest trends and advancements to make sure you’re getting the best results.

Meltwater’s AI-powered consumer intelligence platform helps you get to know your customers on a deeper level. It combines consumer behavior with social listening and brand monitoring to learn what your customers need and want from you. 

AI marketing insights from Meltwater help you deliver on your customers’ expectations. Learn what they’re saying about your brand, other companies they buy from, hidden interests, and new trends you need to jump on. With top-notch insights, you can meet customers where they are and go beyond their expectations.

Learn more when you request a demo by filling out the form below!

Discover how Al marketing insights can transform your strategy. Learn about benefits, use cases, and best practices for smarter, data-driven decisions.

AI Marketing Insights: Unlocking Smarter Strategies

Search engine optimization (SEO) and social media content are two ways to help people find you online. They’re each powerful options, but combined, they become even more useful. 

SEO and social media naturally intersect more than you may realize. They tend to feed off each other, giving customers more ways to find and engage with you online. Use them strategically, and you can take advantage of both to drive more traffic, gain greater visibility, and dominate the digital landscape.

Keep reading to learn how you can combine SEO and social media management for a winning marketing strategy.

The Connection Between SEO and Social Media

Benefits of Both Social Media and SEO in Marketing

Creating Content that Drives Both SEO and Social Media Results 

Measuring Success: Metrics for Social Media SEO

Common Mistakes to Avoid When Integrating SEO and Social Media 

SEO and Social Media: Creating a Unified Marketing Strategy with Meltwater

What is SEO and its relationship to social media? SEO and social media marketing seem like they exist in separate worlds, but they’re more interconnected than you might think. 

With SEO, marketers use keywords and content to show up in relevant search results. The content aligns with the user’s search intent and helps drive traffic to the website. SEO optimized content is a big part of brand discovery and helps turn clicks and visitors into sales and other actions.

Social media works in a similar way. It’s heavy on discovery and relies on content to engage users in the moment. While users might not be actively looking for a brand’s content on social media, algorithms help the content to appear to users who are most likely to be interested in it.

Social media can send traffic to your website, which helps with SEO. 

The more traffic you have, the higher quality you appear to search algorithms, which can encourage higher rankings.

Likewise, social media content can also appear in search results, increasing your brand awareness.

When you optimize your content with keywords, you can help your social content rank, just like a blog or website.

TIP: Check out our Social Media Management Toolkit for a wealth of resources to make your efforts more efficient and effective!

Imagine this: You’ve optimized your website with all the right keywords. Your blog posts are ranking on the first page of search engines. You’re primed for solid organic traffic.

That’s great, but what if your audience isn’t just searching?

What if they’re also scrolling through Instagram, chatting on Facebook, or binge-watching TikToks?

That’s why SEO alone isn’t enough — you also need social media, and you can apply similar SEO practices to your social media management to make your content more “findable.”

There are plenty of benefits of both social media and SEO in marketing. Don’t think of them as separate players; they’re teammates with complementary strengths. They amplify each other to give you the greatest chances of being found by the right people by:

Combining search and social boosts your content’s visibility

Driving traffic both ways (website to social and social to website)

Building brand authority by signaling a trusted, active brand

Maximizing social trends to inform your SEO keyword strategy

Building loyalty by directly engaging with customers on social, which can strengthen your overall online image

SEO brings people to your doorstep, while social media invites them inside. People have more ways to discover and engage with your brand so you can build on the successes of each.

See how Meltwater's social media management and analytics solutions can help you maximize your strategies! Click here and fill out the form for a personalized demo.

Content strategies can be broad and varied, with some types better suited for search or social media than others. There are also multiple types of content that perform well for both, including:

You can repurpose each of these types of content for other platforms. For example, your how-to guides and listicles might have a home on your website or blog. You can pull a snippet from this content to use as a social media post with a link driving people to the full content.

Or, you might screenshot a post from one social media channel to use as a post for another, like this example from Justin Welsh:

Some social media content ideas can give you even more mileage by starting in one format and turning into others. For example, you can turn your listicles into infographics, explainer videos, and polls. 

By doing this, brands can capture attention from a broader audience that might have missed content on another channel.

TIP: Download our Ultimate Guide to AI for Social Media Management, full of practical tips and tricks to help you repurpose your marketing content for SEO and much more.

Social media and SEO each have unique metrics that will tell you how you’re performing. In a combined social media and SEO strategy, you’ll need to focus on a few key metrics that bridge the gap.

Organic traffic shows how much of your website comes from search engines or direct inputs. When your social media content helps you earn backlinks and improve site authority, your organic traffic should increase, too.

Referral traffic tracks how many visitors come to your website directly from social media. A good social media and SEO strategy will help you earn more website traffic from these sites.

High-quality backlinks are a major SEO ranking factor. Social media can help you earn them through shares, collaborations with influencers, and user-generated content. Use SEO tools like Ahrefs to track backlinks and see if they’re coming from social media campaigns.

Every social media metric matters, but some carry more weight than others. For instance, engagements like likes, shares, retweets, and comments indicate people like your content and find it relatable.

These metrics aren’t direct ranking factors; however, they can increase visibility to drive more traffic (and traffic is a direct ranking factor).

Click-through rate (CTR) measures how effective your social media posts are in sending visitors to your website. A low CTR could mean you need to work on your call to action.

As you drive more traffic to your optimized website content, your keyword rankings should also improve. Social media campaigns can help you win more keywords by creating buzz and traffic.

Whether it’s signing up for a newsletter or downloading an ebook, conversions show how well your traffic is performing. Social media traffic that converts shows your content aligns with your audience.

One essential piece of SEO and social media marketing is checking traffic by device. Social media traffic is mobile-heavy, so an uptick in mobile users indicates your social media and SEO integration is paying off.

To get the most out of social media marketing and SEO, you’ll need to treat them as two sides of the same coin. There’s quite a bit of overlap, so let’s look at some best practices that apply to both social media marketing and SEO.

Your social media profiles are like your digital storefront. They need to look professional and branded, which means including key information that makes you easy to find.

Use your target keywords in your bio or about section. For instance, if you sell pet strollers, you can use phrases like “premium pet strollers” or “travel solutions for pets” in your bio. This not only tells visitors what you’re about but also helps search engines index your profiles.

Also, link to your website. You can drive traffic to a landing page to capture visitors who found you via social media.

2. Share SEO-optimized content on social media

You’ve done the hard work of optimizing content for your website. Now, get more eyes on it by sharing it on social media.

Sharing SEO content on social media will help you drive traffic and build on your existing optimizations. In theory, this can help you rank higher in less time.

Content that performs well in search can also shine on social media. When you create blog posts or videos, use keywords in the titles, captions, and descriptions when sharing on social platforms. These keywords help social algorithms understand what your content is about, improving your chances of showing up in users’ feeds.

Alt text isn’t just for website images. It’s also important for social media, especially on image-heavy platforms like Instagram.

Adding descriptive alt text makes your content more accessible. It also helps search engines understand the content of your visuals.

For example, if you’re sharing a photo of a dog on a leash, your alt text could say “Golden retriever standing on a sidewalk wearing a red leash.”

Alt text not only boosts SEO but also improves the user experience. Some platforms automatically generate alt text, but it’s always better to write your own to be sure it’s accurate and relevant.

Regular posting is a must. Search and social algorithms favor brands that stay active and engage with followers. 

Stick to a consistent schedule that matches your audience’s preferences. This might mean posting once a day on Instagram but only a few times a week on LinkedIn, for example.

Also, make sure you engage with your audience. Respond to comments, participate in discussions, and respond to direct messages promptly. This fosters community and boosts your profile’s visibility.

5. Monitor analytics and adjust your strategy

SEO and social media together can elevate your brand. Learn strategies to combine them for a winning marketing approach that boosts visibility and engagement.

TJ Kiely

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