Project Orion: B2B Buying Groups in 2026

If you’re building a content strategy for 2026, you have to get serious about the dynamics of the modern B2B buying group. Your conversion rates depend on it. Creating AEO content that resonates with the technical evaluator, the executive approver, and everyone in between is the whole game. The real work is figuring out how to adapt your content for this whole cast of characters who are all part of one single purchasing decision.

Deconstructing the “Project Orion” AEO Content Campaign

Back in Q3 2025, we kicked off “Project Orion,” a targeted AEO content campaign for Synapse Cloud, a B2B SaaS client in the enterprise cloud migration space. They came to us with a clear goal: boost qualified leads by 20% for their flagship migration platform. The main hurdle, like with most complex B2B sales, was the tangled mess of the B2B buying group. We quickly identified about seven distinct roles in their target accounts that we had to win over: the IT Director (tech lead), the CFO (controls the money), the Legal Counsel (compliance), the Head of Operations (runs implementation), the Data Security Officer, the CIO (big picture strategy), and often a specific Line-of-Business Owner who was the internal champion for the project.

We had a $180,000 budget to work with over a 12-week sprint. We set some aggressive goals: a cost per qualified lead (CPL) under $300, a 3:1 return on ad spend (ROAS), a 1.5% click-through rate (CTR) for our top-of-funnel content, and a 0.5% conversion rate for our mid-funnel assets. The entire campaign was built around AEO content which for us just means creating stuff that gives direct answers to the very specific, high-intent questions people are typing into search engines and asking AI assistants.

Strategy: Mapping Content to the Multi-Persona Journey

Our entire strategy was built around a deep understanding of what each person in the buying group needed to know and where they were in their journey. We developed detailed persona profiles for all seven roles. For example, our IT Director persona, who we called “Ava,” was obsessed with technical specs, integration capabilities, and deployment timelines. On the other hand, the CFO persona, “Ben,” only cared about the total cost of ownership (TCO), ROI calculations, and financial risk. This meant we weren’t just creating slightly different content pieces, we were crafting entirely different narratives for Ava and Ben.

We broke our content strategy into three classic phases: Awareness, Consideration, and Decision, but then we layered our persona-specific assets within each. For Ava, the IT Director, an Awareness-stage asset might be a deep technical whitepaper on API compatibility, optimized for a long-tail query like “cloud migration tools for Kubernetes integration.” For Ben, the CFO, Awareness content was completely different, think high-level executive summaries and case studies showing real cost savings, targeting searches like “ROI of enterprise cloud adoption.” This layered system made sure that no matter who in the buying group started the search, they found something relevant that was made just for them. It makes sense, given that a HubSpot report found that companies personalizing web experiences see a 19% average lift in sales.

Creative Approach: Beyond Generic Brochures

We told our creative team to forget the traditional B2B marketing playbook. For Ava (the IT Director), we built interactive comparison tools and short, technical explainer videos that actually showed how to solve a problem with the software. They were genuine resources, not sales pitches. For Ben (the CFO), we developed an interactive ROI calculator and clean, simple executive briefing docs that had clear financial projections. And for the Legal Counsel? They got downloadable compliance checklists and security whitepapers that spelled out data residency and how the platform handled regulations like GDPR and CCPA. Every piece of content was a direct answer to a specific pain point for that specific role.

We used a whole mix of formats to get this done: long-form articles running 1,500-2,000 words for the real technical deep dives, short-form blog posts of 500-700 words for high-level overviews, infographics for making data easy to grasp, and a series of on-demand webinars. The webinars worked particularly well because we ran separate sessions for technical leads, financial stakeholders, and operations managers, which let us have focused Q&A sessions without diluting the message for the other groups. We even tweaked the visual design for each content type, keeping brand consistency but adapting the look to match the persona’s likely consumption habits.

Targeting and Distribution: Precision at Scale

We executed our targeting primarily through a mix of Google Ads, LinkedIn Ads, and programmatic display. On Google Ads, we ran a pretty sophisticated keyword strategy using broad match modifiers for discovery, phrase match for specific intent, and exact match for our money-making, high-conversion terms. Over on LinkedIn, we segmented audiences by job title, industry, company size, and specific in-market segments. We then used programmatic display to chase accounts that our intent data platforms flagged as actively researching cloud migration tools.

A huge piece of the puzzle was using dynamic content modules on the client’s website. When a user clicked through from an ad campaign, the landing page would change certain sections based on their likely persona. For instance, if an IT Director clicked an ad, the page’s hero section would highlight technical features and integration guides. If a CFO clicked, the hero would switch to talk about cost savings. That personalization was a lot of work to set up, but it produced a big lift in engagement. It’s no surprise a report from eMarketer shows personalized calls to action convert 202% better than generic ones.

What Worked: Data-Driven Successes

Project Orion came through with strong results, particularly with our content aimed at technical and financial stakeholders. The average CTR for our LinkedIn ads targeting IT Directors and CIOs hit 2.1%, easily beating our 1.5% goal, which we credit to the super-specific ad copy and landing pages that spoke directly to their problems. We also got the CPL for these personas down to $275, coming in comfortably under our $300 target.

The interactive ROI calculator we designed for CFOs was a home run, pulling in a 1.2% conversion rate for lead gen against our 0.5% goal. That told us we had something finance people really wanted to engage with. We served 12 million impressions across all channels in 12 weeks, with Google Search driving about 60% of that volume. All in all, we generated 580 qualified leads, pushing past the client’s goal of 500. The final campaign ROAS, after attributing closed-won deals back to the lead source, landed at 3.4:1, just beating our 3:1 goal.

One of the most surprisingly effective assets was a series of short, animated videos explaining complex security protocols for the Data Security Officer persona. These two-minute videos had an average view completion rate of 78% and we saw evidence they were being passed around internally at target companies. It was a good reminder that distilling dense information into a simple format is a win for busy professionals.

What Didn’t Work as Expected: Learning and Adapting

Of course, not everything went according to plan. The content we made for the Legal Counsel persona, mostly long-form compliance guides, had much lower engagement than we’d hoped. The CTR for ads targeting this role on LinkedIn was only 0.8%, and the conversion rate on the guides was a weak 0.3%. Our theory was that legal teams would want exhaustive documentation, but the data suggested they were either looking for a quick summary or just aren’t part of the conversation this early in the cycle.

We also struggled with the Line-of-Business Owner. This persona wasn’t always clearly defined within target accounts, which led to our targeting feeling a bit too broad and ineffective. The content, which focused on high-level business outcomes, felt generic compared to the sharp, role-specific content we had for others. The numbers backed this up: we saw a higher CPL of $350 for this segment, a clear signal that we needed to refine this persona and iterate on the content.

Optimization Steps Taken: Iteration is Key

We started making changes halfway through the campaign based on the data. For the Legal Counsel persona, we pivoted away from the long-form guides and created a series of short, Q&A-style articles that addressed specific regulatory questions. We also added a “Legal FAQ” section to the main product page, which immediately saw a 25% jump in traffic from legal-related search terms. We learned that even highly technical roles can prefer a quick answer upfront, not a 50-page PDF. Who knew?

For the Line-of-Business Owner, we tightened our LinkedIn targeting to focus on specific job titles like “Head of Product Development” or “VP of Engineering” in industries we knew were going through rapid digital transformation. We also shifted to using customer success stories that showed a specific business-line benefit instead of a vague company-wide one. This more granular approach helped improve both CTR and conversion rates for that audience in the back half of the campaign.

We also ran A/B tests on ad creatives and landing pages across all personas. For example, by testing “Download Technical Specs” vs. “Explore Integration Options,” we confirmed that direct, action-oriented language performs better for technical roles, while benefit-driven language like “Achieve 30% Cost Savings” resonates with financial stakeholders. These kinds of continuous, data-driven optimizations were what kept the campaign’s performance high and made sure the AEO content stayed effective.

The success of Project Orion just proves what every B2B marketer knows deep down: generic content doesn’t work anymore. You absolutely have to understand the specific needs, concerns, and motivations of each individual inside a B2B buying group. By tailoring AEO content to these specific personas and constantly optimizing based on performance data, marketers can get better engagement, higher quality leads, and, at the end of the day, more sales.

Focusing on the specific information needs of each person in the buying committee with tailored AEO content is essential for driving engagement and conversions in today’s enterprise sales environment.