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Tell us about what’s in the works and what you want to achieve. We’d love to hear from you.
As AI-generated content becomes more common, many organizations are asking how to stand out with messaging that still feels authentic and strategic. In this blog, Gail Mercer-MacKay shares six essential practices for building meaningful thought leadership in the age of AI — from elevating executive voices to using data with purpose and choosing the right content formats to drive influence.
A customer recently told me, “The reason we brought you in as an extension of our team is because you really understand how to message to different audiences—and how to drive deeper thought leadership into our materials, so we can reach the people we want to reach with value. We sound different with your solutions.”
That feedback stayed with me because it speaks directly to the heart of what we do at Mercer-MacKay: we help organizations articulate their value with greater clarity, confidence, and purpose. We help them sound like themselves—but stronger.
And in a world where AI is now generating content at scale, standing out has never been more important. There’s a growing risk that brands will rely too heavily on AI tools, producing content that lacks direction, depth, or originality.
Thought leadership isn’t about volume. It’s about vision. It’s about having something meaningful to say—and saying it in a way that reflects real experience and real expertise.
Here are six ways we help our clients approach thought leadership in today’s AI-driven landscape:
1. Quality over volume
We’re seeing a shift in strategy. Rather than filling channels with high-frequency content, leading brands are opting to publish fewer pieces that go deeper—content that is original, research-backed, and informed by experience.
These pieces reflect strong points of view and present ideas in a new light or challenge conventional wisdom in a smart, strategic way.
Example: Instead of publishing “5 Benefits of AI,” shift the conversation to something more insightful, such as “Why 90% of AI Initiatives Fail—And How to Beat the Odds.” This reframes the discussion to offer value, spark curiosity, and showcase expertise.
2. Executive-led thought leadership
Audiences want to hear from the people behind the brand—especially those in leadership roles. Content authored by executives, practitioners, and domain experts feels more authentic and carries more weight, particularly in B2B sectors such as technology, healthcare, and professional services.
One of our anchor offerings is the Digital Executive (DEx) Program—a strategy, playbook, and communications guide designed to help executive teams develop and share their unique points of view. We work closely with leadership to ensure their voice aligns with corporate objectives, while still feeling personal and credible.
3. Data-driven authority
Compelling thought leadership is increasingly backed by data. This might include:
We often build programs that both share and gather insight. For example, through content syndication or research-driven campaigns, we help clients position themselves as authoritative sources—not just observers in the market. Webinars featuring subject matter experts and aligned to industry trends add further weight and relevance.
4. Strategic use of AI
AI can accelerate parts of the content creation process—from topic ideation to outlining or drafting. But readers can quickly detect AI generated content, as it often feels generic or lacks insight.
It’s best to use generative AI to support speed and structure, especially in SEO-driven content. But when it comes to positioning, layering in human storytelling, executive insight, and strong opinions is key. This ensures the final product reflects the expertise and authenticity of the brand behind it. We’ve found a good blend within our programs that mix AI-written content for SEO metrics with true thought leadership content for positioning as original thinkers.
5. Expanding formats
Thought leadership isn’t confined to blogs and whitepapers anymore. Modern audiences expect a mix of formats—ones that match how they consume information in their daily lives.
We encourage clients to think about:
Offering content in multiple formats helps you meet your audience where they are and engage them more effectively.
6. A call for boldness
Content that plays it safe rarely leaves an impression. Today’s most effective thought leaders are embracing bold predictions, challenging outdated norms, and offering a strong point of view—as long as it’s supported by evidence.
We often work with clients to refine and express their position with courage and clarity. Being original and authentic sometimes means being vulnerable, and many organizations hesitate there. But that’s often where the deepest connections happen—when your audience sees that you’re willing to lead with conviction.
As AI continues to evolve, so must our approach to leadership and influence. The organizations that succeed will be the ones who use AI to support speed—but lean on lived expertise and human insight to shape their message.
If you’re ready to elevate your voice and refine your leadership strategy, we’d love to show you how we can help.
Writing a case study takes more than telling a customer success story—it requires capturing and communicating strategic impact.
This is especially true when you’re working with partner programs, hyperscaler alliances, or multi-solution sales motions. Your case studies need to do more than validate a solution; they need to educate, persuade, and scale across teams, regions, and formats.
We’ve written this blog as a comprehensive guide for marketers who understand the value of case studies and want to elevate their creative process. From structuring a story that resonates with just the right customer, to enabling sales, influencing partners, and using GenAI to support the process, we want to share what it takes to write a case study that actually works.
Whether you’re leading a storytelling initiative, refining an existing program, or just looking for help to write your next case study, this guide will help you refine your purpose and apply it with more precision.
Before you think about format or framing, define what the story is meant to do.
Too often, case studies are created as standalone content. But the best ones are built to support a broader business initiative—whether that’s entering a new market, aligning to a product launch, or supporting a key partner motion.
Ask yourself:
When those answers are clear, you can make sharper decisions throughout the process about who you feature, how to write, and what format best fits the story and your purpose.
Advanced tip: Create a story asset strategy for every case study. It should include:
This step is the difference that makes a great story and a high-impact marketing asset.
Not every customer success makes a good case study.
Yes, big logos help. But a “happy customer” with generic outcomes won’t resonate. What you want is a story that reflects a clear problem, a thoughtful solution, and real change.
Look for:
Pro move: Use a Case Study Scoring Matrix to prioritize potential stories based on criteria such as strategic fit, outcome strength, customer visibility, eagerness to participate, and potential for reuse.
This is where most case studies fall flat: not because the facts are wrong, but because the feeling is missing.
Great case studies uncover what changed—not just technically, but emotionally. They reveal tension, risk, doubt, and relief. That’s what makes a narrative memorable and persuasive.
Interviews are one of the most critical elements of the case study writing process. Lots of people are involved in a deal. You’ll want to talk to the different players and get their perspective.
Who should you interview? Depending on who was involved in the deal, here’s a starting list to consider:
Where you can get buy-in from individuals to participate, take advantage of the time they’re willing to invest in unpacking the story.
The golden rule: a case study is as much as a win for your customer as it is for you. What matters to them and what they want the world to know about them needs to show up in the story.
A positive image of your customer reinforces their reputation—they’re trusting you to tell a story that shows them in a strong, capable light. When they see themselves reflected as the hero, the innovator, or the trusted leader, they’re more likely to approve, share, and champion the story alongside you.
Before the interview:
During the interview:
Interviews can sometimes feel like pulling teeth. How they go is highly dependent on you, as the interviewer, and who the interviewee is. Some people are great at being interviewed, and others are not. As the interviewer, active listening and being inquisitive is key.
Challenging interviews can make it difficult for the story to clearly pop out. But it’s important to remember: your case study needs to do more than describe what happened, it needs to explain why it mattered.
After capturing the story through interviews, focus on pulling out the outcomes that are most relevant to your audience. Yes, results matter, but not all results carry the same weight. A “30% efficiency gain” is a statistic. What that gain enabled the team to do—that’s the story.
Go deeper than surface-level metrics. Generic improvements such as “better collaboration” or “streamlined processes” don’t stick.
Instead, ask:
When you connect results to the bigger picture—faster time to market, risk reduction, operational savings—you create more value for the reader.
Don’t skip the data. It’s easy to fall back on qualitative insight when hard metrics are tough to find, but avoid that trap. Even directional numbers, internal benchmarks, or before-and-after comparisons help build credibility.
Ask for:
Pro tip: Ask your internal stakeholders or customer champion to help source the metrics during the interview prep phase. The earlier you flag it, the better your chances of getting usable data.
Evidence builds trust. Even if your reader connects with the story, they’ll look for numbers to validate the narrative. A good case study strikes the balance, quantifying the outcome and then explaining why it mattered.
Make it real and relatable. If approvals make exact figures tough, anchor outcomes in concrete language:
“We used to spend half the week cleaning up bad data. Now it’s fixed at the source.”
“What took a day now happens in minutes.”
These details help readers visualize the result and see themselves in the story.
There’s no one-size-fits-all structure. The format you choose should support the story you’re telling, the audience you’re writing for, and how the asset will be used.
Here are a few flexible formats we recommend, along with guidance for when each one works best.
1. Challenge, Solution, Results
This is a classic structure for a reason—when the journey is linear and the value is clear, this format makes the story easy to follow.
Use it when:
2. Before, After, Bridge
This structure focuses on the transformation—what life was like before, what changed, and what’s possible now.
Use it when:
Some stories revolve around a person who led the charge—an internal champion who navigated change, took a risk, or shifted how their team operates.
Use it when:
4. Mini-myth busting
This format works well when a customer had doubts or tried another solution before landing on yours—and the results proved their assumptions wrong.
Use it when:
Modular storytelling for layered audiences
If your story includes technical teams, business decision-makers, and partners, consider structuring it in layers. That way, different readers can find what they need quickly.
A modular case study might include:
This kind of structure gives you flexibility during creation and makes repurposing much easier later.
Pro tip: Build a structure you can repeat. Once you find a format that works well with your teams and stakeholders, template it. You’ll speed up approvals, make reviews easier, and reduce decision fatigue with every new case study you write.
The structure isn’t the story; it’s what helps the story land.
Case studies can end up sounding overly polished and impersonal. But what wins trust is authenticity. Remember: it’s not a press release, it’s a story.
Write like a human, for a human:
Use quotes with purpose.
Quotes should add depth, not just echo what’s already been said. Use them to show emotion, credibility, or insight that can’t be paraphrased.
If a quote doesn’t feel strong or clear, paraphrase it. It’s better to keep the story moving than to force in a quote just to have one.
Anchor abstract benefits in something tangible.
Don’t just say the solution “streamlined operations” or “improved collaboration.” Show what that looked like:
“Instead of chasing status updates across emails and spreadsheets, the team now works from a single live dashboard—no reminders needed.”
Concrete examples help readers visualize success and connect with the story.
Use narrative flow, not just bullet points or segments.
Even when your case study includes sections (e.g., Challenge, Solution, Results), write with transitions and connective tissue. Guide the reader through the story like a narrative, not a checklist. A well-told journey is more persuasive than a list of outcomes.
Keep sentences tight and punchy.
Aim for clarity over complexity. Readers skim. Short, well-structured case study writing helps them lock in faster. Vary sentence length, avoid long-winded explanations, and break up dense paragraphs to improve readability.
Avoid over-explaining.
Trust your reader’s intelligence and your structure’s strength. When quotes, data, and flow do the work, you don’t need to spell everything out. Over-explaining can feel condescending or overly salesy—and that erodes credibility.
Used wisely, GenAI tools can make your case study process faster, more collaborative, and more scalable without diluting your voice or disconnecting from your audience.
Where GenAI can strengthen your case study writing:
Pro tip: The key isn’t using AI to write for you, it’s using it to write with you. Think of it as a collaborative partner that helps you explore ideas, find gaps, make improvements, and stay agile across formats.
GenAI works best when you:
What GenAI can’t do (and shouldn’t):
In short, GenAI can enhance the case study writing process, but the strategy, story structure, and emotional resonance still require a human touch. That’s where great marketing—and great marketers—make all the difference.
The best case studies are designed for scale. Think beyond a single PDF.
Each case study can be a:
When you write with reuse in mind, you save time, create more impact, and help internal teams find exactly what they need. A helpful resource on this topic can be read here: How to build a scalable customer story program.
Case studies should do more than sit in a content library. When written well, they become a versatile asset used by marketing, sales, partners, and even your customer.
The process you follow matters. Choosing the right story. Asking better questions. Writing with clarity. These decisions affect how the story lands, how often it gets shared, and how much value it brings back to the business.
If you’re investing in telling a customer story, make sure it delivers. Be clear on the purpose. Build with the audience in mind. Create something your internal teams and your customers are proud to share.
That’s case study writing that works.
Need help writing your next case study—or scaling your storytelling program? We work with B2B tech companies to create clear, compelling customer stories that align with campaigns, partner motions, and GTM goals. Let’s connect.
The SEO-optimized text checklist is a must-have for tech marketers looking to improve search performance without compromising clarity or brand voice. This practical, step-by-step guide walks through everything from keyword targeting and content structure to metadata, image optimization, and CTAs—specifically tailored for B2B technology content. Use it to create high-performing assets that rank, engage, and convert.
Writing for SEO doesn’t mean sacrificing substance for search engines.
So how do you make your content discoverable without sounding like a spec sheet?
With a checklist that’s as strategic as it is practical.
Bookmark it. Share it. Make it part of your content workflow.
Translation: Keywords matter. “AI” alone won’t cut it. Before you put fingers to keyboard, step into your buyer’s shoes. What are they searching for—and why? The best SEO strategies begin with insight into audience intent.
What to do:
Storytelling tip: Your keyword should feel at home in your headline. If it reads like an afterthought, rewrite it.
Don’t hide good ideas behind dense walls of text. Online readers skim first, then decide if it’s worth a deeper read. Good structure helps them navigate—and builds their trust in you.
What to do:
Storytelling tip: Structure your post like a podcast episode. Start strong, guide the listener, and finish with a clear takeaway.
Meta titles and descriptions are your storefront. Make them compelling. They’re the first thing users see in search results. They should invite clicks, not indifference.
What to do:
Example:
Storytelling tip: Pitch it like you’re at a networking event. Keep it sharp and human.
Images enhance experience—but only if search engines can understand them. A strong visual can support your message and boost performance—when properly optimized.
What to do:
Storytelling tip: Choose visuals that enhance your story. Skip outdated stock images.
If your audience can’t absorb it quickly, they’ll move on. Especially in tech, clarity matters more than cleverness.
What to do:
Storytelling tip: Sound like a helpful expert. Avoid jargon and formality. Be approachable.
Internal and external links connect your content—and build credibility. Smart linking helps search engines understand your site, while helping readers dive deeper.
What to do:
Storytelling tip: Think like a tour guide. Where should your reader go next?
If your content doesn’t lead somewhere, it ends nowhere. A strong CTA is your closing argument—it should make the next step easy and desirable.
What to do:
Storytelling tip: Make your CTA memorable. It’s the scene that sticks with them.
Search engines reward content that shows Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T) This is especially important in B2B tech, where your audience expects depth and credibility.
Your best content today can still perform a year from now—if you revisit it.
Storytelling tip: Content is a living asset. Reuse what works and keep evolving it.
Search engines are smarter than ever—and so are your readers. The best SEO strategy blends structure with substance. Be useful. Be thoughtful. Be findable.
At Mercer-MacKay, we combine SEO strategy with story-driven content that connects. Whether you’re updating your blog or launching a new campaign, we’ll help you get noticed—and remembered. Reach out.
When did sales become so… loud?
If your LinkedIn inbox looks anything like mine, it’s probably full of connection requests that turn instantly into pitches. Or newsletters you never signed up for. Or cold emails offering a “quick 15 minutes” with no context.
We’ve built these incredible tools to connect with people—and somewhere along the way, we forgot how to actually connect.
This was a big part of my conversation with Richard Bliss. Richard is a long-time friend, a brilliant social selling coach, and someone who has built his business around one core principle: give before you ask.
It sounds simple. But if you’re in sales or marketing, you know how radical that really is.
Richard said something that really stuck with me:
“Every ask is a withdrawal from a trust account. If you haven’t made any deposits, you’re going to be overdrawn.”
That’s the heart of it, isn’t it?
So many sellers jump straight into the ask:
“Let’s book a call.”
“Can I get 15 minutes?”
“Are you the right person to speak to about X?”
But if your prospect doesn’t know you, doesn’t follow you, and hasn’t seen you show up in their world with value first—why would they say yes?
In today’s sales environment, your first job isn’t to pitch. It’s to serve.
Here’s where social selling comes in. And I don’t mean automated outreach or generic commenting. I mean real, human contribution.
Richard put it perfectly:
“Nobody posts on LinkedIn hoping nobody sees it.”
So when a prospect shares a post?
That’s not fluff. That’s digital trust-building.
It’s you saying, “I see you. I hear you. I respect your voice.”
And from there, a relationship can actually begin.
I told Richard about a program we recently launched at Mercer-MacKay—where our inside sales team reaches out to warm leads, not with a pitch, but with curiosity.
“Hey, I saw you downloaded a guide. Was it helpful?”
“Are you exploring something new or just researching?”
“Anything else we can share with you?”
Those calls don’t feel like sales. They feel like support.
And guess what? We’re booking meetings. Not because we’re chasing. But because we’re helping first—and earning the right to ask for time.
That’s the new sales math:
Value + trust = conversation.
Conversation = opportunity.
There’s no shortcut to relationships. There never was.
What we need now—especially in B2B sales—is a return to the basics:
If you lead a sales team, start by changing how you measure success. It’s not just about meetings booked. It’s about connections made.
If you’re a seller, ask yourself: “Have I earned the right to make this ask?”
And if you’re not sure where to start—look at your own feed. Whose content can you engage with today, not because you want something, but because it’s good?
Start there. The trust account builds from that moment forward.
I used to think of inside sales—BDRs and SDRs—as the junior varsity team. The folks you bring in to make a few dials, follow up on leads, and hand things off when the conversation gets serious.
But something shifted.
Over the last few years—especially as the way we sell has evolved—I’ve had to rethink that mindset. And I have to credit part of that to Richard Bliss, a long-time colleague and coach who understands the intersection of digital trust and modern sales better than anyone I know.
During a recent conversation, we both agreed: inside sales is no longer the warm-up act. It’s the main event. When done right, these professionals are among the most highly skilled relationship builders in the entire sales organization.
Let me explain.
At Mercer-MacKay, we’ve supported clients with outsourced BDRs for years—but only recently did I hire them to do outbound work on our own behalf.
We handed them two lists:
Their job wasn’t to pitch. It was to listen. To reach out with genuine curiosity and say:
“Hey, we saw you downloaded this resource—were you looking for research? Was there something specific we can help with?”
No hard close. No script. Just a respectful check-in that put value at the center of the conversation.
In four weeks, they booked four VP-level meetings—including a president at a major company. Every single one moved to next steps.
And I thought… wow. This is what inside sales should be.
Richard and I got deep into this topic. He’s been working with sales teams for years, helping them build digital credibility and rethink how they engage on LinkedIn and beyond.
He said something that stuck with me:
“Inside sales professionals are the new trusted guides. They use LinkedIn, email, phone—all of it—to open doors without slamming through them.”
Too many teams still treat inside sales like a numbers game. Hit the quota. Make the calls. Send the emails. But modern buyers are smart. They can spot a canned message a mile away. What they want—what we all want—is relevance and respect.
When we think about B2B storytelling, we often start with brand narratives or thought leadership. But storytelling starts at first contact. That first touchpoint—whether it’s a comment on LinkedIn, a call, or a personalized email—is the beginning of the customer’s experience with your brand.
That’s why I now see our inside sales team as an extension of our brand voice. They’re not just booking meetings—they’re making first impressions, starting conversations, and building trust.
And trust is what turns a lead into a relationship, and a relationship into revenue.
The future of B2B sales isn’t about more automation or louder messaging. It’s about smarter, more human conversations—delivered by people who know how to listen first, speak second.
If you’re not treating your inside salespeople as a high-value, strategic asset, you’re missing one of the biggest opportunities in your pipeline.
If you’re wondering how to put this into practice in your own organization, we’d love to share what we’ve learned. Our BDR programs are designed to open doors with authenticity and respect—creating meaningful conversations that lead to real opportunity.
Let’s talk about how to bring that same approach to your business.
I’ve always said that marketing is part art, part science, and part heart.
It’s the art of crafting a compelling story, the science of data and optimization, and the heart of knowing what your audience truly cares about.
So when AI burst onto the scene and everyone began treating it like the next big creative partner, I was curious—but cautious. Could AI really support the creative process? Could it help elevate a voice instead of just replicating it?
Then I had a conversation with Richard Bliss, and everything clicked.
Richard is someone I admire deeply. He’s spent years helping sales leaders use LinkedIn to build trust, not just traffic. But what struck me in our recent conversation was how he uses AI—not to shortcut his thinking, but to sharpen it.
Here’s what he shared with me:
“AI isn’t here to do the work for you. It’s here to help you see what’s missing.”
He explained how he writes freely, then hands his draft to his own custom AI bot (he calls it his “BlissBot”) trained on millions of characters in his voice. That bot helps clean it up. Then, he throws the content into tools like Claude or ChatGPT to expand on ideas, test assumptions, and ask critical questions like:
He then brings the result back to his AI bot to shape it in his voice—and suddenly, he’s not just writing content. He’s writing thought leadership that’s tighter, smarter, and truer to who he is.
That insight really stayed with me.
Most of us use AI to generate what’s missing—a paragraph here, an outline there. But what Richard showed me is that AI can also illuminate blind spots. It’s not just about creating; it’s about clarifying.
He even used this approach with a stranger on LinkedIn—running her post through ChatGPT to surface assumptions and tone gaps, then sending her the analysis privately.
Her response? Total gratitude. She said no one had ever helped her see her thinking that clearly before.
What a gift.
At Mercer-MacKay, we’re leaning into AI more each day. We use it to generate outlines, polish drafts, brainstorm campaign ideas, and yes—even create visuals. But the more I think about Richard’s approach, the more I realize how important it is to combine AI with intention.
AI isn’t your replacement. It’s your reflection.
It can show you how your message lands—or where it falls short. It can deepen your voice, not erase it.
We are all standing at the intersection of creativity and technology right now. And like Richard, I believe we have a responsibility—not to let the machine do our thinking, but to use it as a mirror that helps us become better thinkers, more empathetic storytellers, and sharper communicators.
So if you’re a marketer, a seller, or someone with a story to tell—lean into AI, yes. But don’t hand over the pen. Use the tech to deepen your message, not dilute it.
And if you want to see how the pros do it? Talk to Richard Bliss. He’s one of the few who truly understands how to use AI to amplify thought leadership—not replace the thought.