AI in B2B Marketing: 9 Strategies to Boost Efficiency and Growth

AI in B2B Marketing

B2B marketing is not glamorous. That is to say, there are no “quick wins” or “impulse purchases” when one business buys from another.

Rather, it’s about building relationships that stand the test of time and delivering solutions that solve complex problems. Yes, it’s a tall order and has traditionally been a grind, until Artificial Intelligence (AI) came and redefined marketing altogether.

So, settle in because this isn’t just another article about AI trends—by the time you’re done, you’ll be rethinking how you ever did B2B marketing without it.

9 Ways to Use AI in B2B Marketing to Work Smarter, Better, Faster, and Stronger

9 Ways to Use AI in B2B Marketing to Work Smarter, Better, Faster, and Stronger

“B2B marketing is tough. You’ve got a complicated buying process, a potentially interested but mostly inactive audience, and of course, the lingering technicality of what you’re here to offer.”

— [ Ian Nicholls, Founder – Automobilgarage.com]

So, even if the basics of marketing remain more or less the same (content, SEO, customer experience), you need to put in extra effort to truly reap the benefits, which is undoubtedly time-consuming.

But AI and automation can help you with exactly that and below are nine ways that answer “how?”

1. Put Routine Tasks on Autopilot

Some parts of marketing are just plain tedious. I mean, scheduling social media posts, sending follow-up emails, updating CRM records—not exactly what you’d call thrill work, right?

However, these tasks are critical, and ignoring them isn’t an option. Thankfully, with AI in B2B marketing, you can now automate the busywork and reclaim your energy for more creative and strategic tasks at hand.

For starters, you can fall back on tools like Mailchimp or ActiveCampaign to handle everything from automating customer journeys to personalizing your emails to even adjusting campaigns in real time.

Put Routine Tasks on Autopilot - MailChimp Example

Source: MailChimp

Or you can take a break from managing social media with platforms like Buffer and Hootsuite that use AI to schedule posts based on when your audience is most active.

Put Routine Tasks on Autopilot - Buffer Example

Source: Buffer

2. Generate B2B Content From Scratch with AI

If there’s one thing B2B marketers can agree on, it’s that content creation is both the heartbeat of marketing and its biggest headache. With a relentless demand for blogs, whitepapers, emails, and LinkedIn posts, the entire process boils down to a never-ending cycle of “What do I write next?”

However, AI-writing tools like StoryLab..ai and ChatGPT are leading the charge and helping marketers generate content that checks all boxes—tone, writing style, complexity, requirements, and brand voice—all at a lightning pace.

Generate B2B Content From Scratch - ChatGPT Example

Source: ChatGPT

And you’re wrong if you think that these tools write in a vacuum when in reality, they are capable of analyzing vast datasets within milliseconds for the sake of relevance.

3. Repurpose Content

When you’ve spent hours preparing for a webinar or writing an ebook or blog post, it’s only natural to feel criminal when the content collects dust after just one use.

But what if you could chop that webinar into bite-sized clips for LinkedIn? Or took that blog post and turned it into a super-engaging infographic that drove traffic from your socials?

Enough of what-ifs because you can do all that (and more) with AI by your side. With tools like Pictory, you can quickly extract key highlights, add subtitles, and package them into shareable videos within minutes.

Repurpose Content - Pictory Example

Source: Pictory

And this isn’t just random chopping that AI performs. In fact, it analyzes your content to understand the parts that are most valuable and prioritizes them for repurposing.

4. Hyper-personalize Customer Experiences

B2B buyers aren’t impressed by generic, one-size-fits-all messaging. They’re looking for brands that understand their pain points and speak their language. That’s where hyper-personalization comes, and trust me, it’s a game-changer.

Take email marketing, for example. With AI, you can deliver bespoke content tailored to a client’s specific needs, instead of just sending out generic emails with everyone’s name awkwardly slapped in the subject line.

So, while a decision-maker in the manufacturing industry gets a whitepaper about the latest supply chain innovations, a tech founder receives case studies showing how your SaaS product can scale with their growth.

Both emails land like a bullseye, all thanks to AI!

5. Deploy Chatbots to Talk to Customers On Your Behalf

In B2B, where decision-making cycles are already long, the last thing you want is to frustrate a prospect by making them wait days for an answer to a simple question.

That’s the reason why I see so much potential in AI-powered chatbots. They are incredibly advanced and capable of handling complex customer queries with human finesse.

For example, if a prospect has visited your pricing page five times in a week, the chatbot can greet them with, “Hey! I noticed you’re exploring our pricing options. Can I clarify anything?” This kind of proactive engagement doesn’t just feel helpful, it’s also personal.

Deploy Chatbots - Intercom Example

Source: Intercom

In fact, these chatbots also analyze conversations, feeding the insights back into your marketing and sales strategies so that you can refine your message and offerings.

6. Segment Your Audience

If you’re still treating your audience like one big monolithic group, we need to talk. Because without segmenting your audience, it’s impossible to tailor content and offer each prospect exactly what they want.

And if it seems like an uphill battle to do all of this manually, AI-driven segmentation tools like Segment or Optimove can help you slice your audience into micro-segments based on behavioral data, purchase intent, and engagement patterns.

Segment Your Audience - Twillo Example

Source: Twillo

So, if a prospect starts engaging with your blog on data security, AI will automatically move them into the segment that focuses on cybersecurity products or services.

7. Track Your Campaign Performance

I’m sure you’re already tracking your B2B marketing campaigns. But here’s the catch with that: non-AI tracking tools will only tell you what happened, and not why it happened.

Contrary to this, you have AI tools like HubSpot and Salesforce that can pinpoint the exact weak link, whether it’s targetting, messaging, or timing. It’s like having a marketing coach whisper in your ear, “Try tweaking this element, and you will see better results.”

Track Your Campaign Performance - HubSpot Example

Source: HubSpot

Most importantly, these tools give you real-time updates (or near to that), so you’re not waiting days to realize that your campaign’s ROAS (Return on Ad Spend) is plummeting.

8. Level Up Your SEO Game

With AI in B2B marketing, you can now analyze keyword search volumes, competition, and even intent to target the exact phrases your audience is typing into Google.

For example, instead of going with something generic like “best CRM tools,” you can zero in on “best CRM tools for small businesses” and drive qualified traffic straight to your site.

But the most exciting part about using AI for SEO is how it helps you with the technical aspect. Today, you’ve got tools like Screaming Frog that can identify broken links, slow-loading pages, or duplicate content tanking your rankings. Pair them with SEO reporting tools like SEMrush or Ahrefs, and you’ll also gain insights into keyword performance, backlink profiles, and ranking trends to fine-tune your strategy.

Level Up Your SEO Game - Screaming Frog Example

Source: Screaming Frog

Even better, these tools can recommend fixes, which means you don’t have to lose your sanity over manual website audits.

9. Use Predictive Analytics to Score Your Leads

While AI algorithms analyze mountains of data (think website visits, email engagement, demo requests, purchase history, and social media activity), predictive analytics goes a step further, identifying patterns and behaviors that indicate the future intent of the prospect.

It’s like peeking into a crystal ball, except the predictions are based on cold, hard data, and not magic.

By using AI for lead generation, you can identify patterns across your existing customer base and score leads. For example, you can find what your highest-value clients have in common or what behaviors they exhibited before converting and then use that data to refine your scoring models

This way, you’re no longer casting a wide net and hoping for the best, but fishing with a spear and targetting the exact leads that are ready to bite.

Wrap Up

If you’ve made it this far, you’re probably thinking, “Where do I even begin?” And that’s the thing about AI—it can feel like a LOT.

But let me get one thing straight: this isn’t about you doing everything at once. It’s more about identifying the gaps in your current strategy, taking a breath, and asking yourself, “Where can AI make the biggest difference for me right now?”

Whatever your first step is, just remember this—AI isn’t a plug-in-and-call-it-a-day solution. Sure, it does work on your behalf, but if you want to make the most out of it, always stay curious and open to learning.

About the Author:

Joy D'CruzJoy D’Cruz – a content marketing specialist currently working with SaSHunt. Joy has a keen interest in researching topics related to B2B and SaaS. During weekends, he enjoys spending time watching YouTube.

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