Many teams in B2B technology mistakenly equate the speed at which they publish to how much influence they have in the market. The actual bottleneck is not the volume of content being produced, but the lack of a proper process for taking the internal wisdom that exists within an organization and translating it into something that is acceptable to prospective buyers.
This guide outlines how to build an operational model for technology content marketing to transform technical knowledge into a quantifiable pipeline, enablement for the sale, and visibility in AI search results.
The Lack of Evidence in Technology Marketing
A large number of technology content marketers have an inability to present credible evidence. The buyer wants to know why they should choose one particular vendor over another and what it is going to cost them.
In a survey conducted by Content Marketing Institute, out of the 66% of technology marketers that said they utilize marketing to some degree or to a great degree, only 16% said they achieved their sales goals.
The Problem of Volume
There is not a shortage of basic information on the market today. Approximately 95% of technology content marketers are using AI for creating or optimizing their written content. However, the majority of the value of utilizing these tools comes from the speed at which they produce, with 90% reporting increased productivity based on utilizing this technology.
35% of the surveyed respondents reported that they had seen improvements in content performance. Therefore, utilizing a broad strategy based on simply publishing more articles will not allow any particular brand to stand out. Buyers require specifics about a vendor's operations; they do not wish to read a high-level summary. Of the respondents who have used AI-assisted technology in the creation of a piece of content, 18% reported that content quality decreased when using AI-assisted technology. There exists a significant opportunity for teams that will invest in allowing their writers to have human review.
The Subject Matter Expert Bottleneck
A defined strategy will frequently fail to move from strategy to execution due to a lack of knowledge. Capturing the knowledge of practitioners creates an opportunity to create a competitive advantage. A survey showed that the vast majority (77%) of technologists stated that their organization's specialized employees contribute less than 15% of content to marketing efforts.
Trust with customers cannot be built when your internal experts are not visible. The practical value of any technology marketing strategy is directly related to the way in which the marketing team captures knowledge through its workflow.
Marketing teams must rely on superficial descriptions of product features due to their inability to access product managers, sales engineers, and security leads for more in-depth information.
Moving Beyond Thought Leadership
91% of technology marketing teams publish thought leadership content, which has become commoditized. Providing thought leadership as a way to demonstrate expertise in a category without providing original data or proven operational techniques only creates noise in the market.
Those who attribute success in marketing to a refinement of strategy instead of to new tools make up 81% of technology teams. Evidence-based direction and the support of original operating evidence provide greater value than what has been claimed by typical industry experts.
The most valuable asset in this situation is an evidence-led system, connecting daily operations to the pipeline, demos, and sales conversions.
Mapping Your Content to the B2B Technology Buying Group
The generic funnel models do not work well when dealing with complex technology purchases. An extended sales cycle and many approvers require a different form of verification to support each individual stakeholder. You need to construct a matrix for the buying group based on the needs of each of the stakeholders.
The Practitioners and End Users
The only question that practitioners want answered with any product is: will this product meet my workflow challenge? Practitioners want to know what the user cases, templates, and practical demonstrations are for the product.
Create how-to guides, product walkthroughs, and use-case pages that demonstrate how to complete tasks or work through different issues. The conversion action for practitioners and end-users will be to either start a trial, request a sandbox environment, or spend time and energy engaged with technical documentation.
Engineering Leaders and Technical Reviewers
Engineering leaders and technical reviewers make determinations regarding the successful integration of new solutions into current environments. Engineering leaders consider the underlying architecture, as well as performance and integration limitations.
The technical documentation format includes technical briefs, API documentation, and implementation guides that provide access to either an informative technical consultation or an effective sandbox testing experience. The technical documentation is reviewed by internal teams for content accuracy and completeness.
Compliance Officers and Security Reviewers
Compliance officers and security reviewers want to understand any potential risks associated with a new technology. Compliance officers want to see documented proof of any security controls in place (security controls), the flow of data through a system (data flow), and any compliance certifications obtained (compliance certification).
As such, compliance officers require trust centers, security frequently asked questions, and data processing agreements as primary means to verify that new technologies do not introduce unacceptable risks, and to ensure the safety of both customers and employees as well as compliance with all applicable laws and regulations.
Unlike other groups, compliance officers will generally not request to receive a standard demonstration of how to use a solution. A successful security review and compliance approval is the ultimate goal for this group.
Economic Buyers and Internal Champions
Economic buyers and internal champions require solutions to prove their value within the organization.
The internal champions need to have documented evidence (ROI calculators, competitive comparison pages, and executive decks) to convince fellow employees to implement the solution. Economic buyers want to know the cost of delay and whether or not the solution will provide a positive return on investment.
A perfect example of the benefit of ROI calculators and industry competitive comparison pages can be seen through Fourth, an HR and payroll software provider, which added $1.3 million in pipeline sales within the first 6 months of producing ROI calculators and competitive comparison pages.
Companies like Basecamp have also proven the importance of developing an online resource (transparent comparison pages) to develop instant trust with potential customers.
Procurement Teams
The procurement team's main focus is on purchasing the product without complications. Procurement teams are looking for pricing logic, contract readiness, and vendor evidence.
To meet procurement team needs, companies should provide procurement guides, pricing pages, and accessible legal resources. Making the contract review process as simple as possible will directly accelerate the sales cycle velocity.
Developing a Defensible Evidence Architecture
A successful solution purchase is achieved through the development of a defensible evidence architecture. Purchasing solutions involving complex technology is extremely complicated and requires companies to feel comfortable purchasing a solution. A successful purchase will ultimately create confidence in a company's ability to purchase a complex technology solution.
Buyers require evidence for their purchase decision on three levels: security (how secure is the product?), implementation (how much effort will it take to implement?), and total cost (how much will it cost?). To substantiate claims regarding technology content marketing, it is expected that companies will create a stable source hierarchy to provide evidence to support their technical claims based on their actual operations.
Primary Evidence Standards
The highest level of evidence available to validate your company's operations is through your daily activities such as interviews with customers/clients, primary research conducted by the company itself, trend analysis conducted via support tickets, and the collection of telemetry data when users agree to share this information.
As an example, Terakeet (an enterprise-level SEO company) focused their content efforts on creating high-quality content that was very strategic in nature and utilized case studies extensively to back up its claims about its service offerings. As a result, they saw an incredible increase in organic blog traffic, which translated into a tremendous amount of revenue in 2017.
All claims of successful customer results are based on actual customer feedback/results, and therefore have the greatest impact on potential buyers.
Verifiable External Sources
The second level of evidence comes from other reputable sources. These include research published by organizations within the industry and the associated methodology; documents issued by regulatory entities; and any technical publications that can be verified as credible.
Verifiable external evidence is an important part of any business plan. However, relying solely on vendor-reported claims without independent verification is not an acceptable practice. Furthermore, it is important to provide clear documentation regarding the date of any external evidence cited in support of your company's products and specify the product version referenced in the documentation.
Managing Content Decay
Due to the rapid pace at which technology evolves, claims about a company's computing technologies can quickly become dated. As such, it is essential to establish clear triggers for updating technical content based on events such as product releases, updates to pricing models, or new product integrations.
As a result of these changes in the product line or pricing model, businesses will see significant drops in product rankings, traffic-to-conversion rates, and new competitors into the marketplace. Therefore, it is imperative for businesses to establish a plan for conducting content refreshes based on these types of events, and to assign ownership to each individual within their organization with respect to high-value content.
Creating a Workflow for Subject Matter Experts
It is unrealistic to expect busy engineers (or other technology members of your organization) to write articles for you. In addition, lean B2B startups must be able to publish consistently as quickly as possible without placing an undue burden on their product teams.
Pay attention to the objections raised by buyers when they call you. Create content that corresponds with the sales pipeline. If your team receives the same security question repeatedly, this topic should take precedence over other topics.
Evidence Briefs
Before conducting any interview with a subject matter expert, you need to define the scope of your request in detail, including what a content strategist will need to collect to substantiate a claim (source-collecting) and to help you understand where buyers object most often.
By preparing this evidence brief ahead of time, you are protecting both your own time and that of your engineering and product teams by ensuring that you are able to avoid any unnecessary back-and-forth while still getting actionable, unique insights from the SME.
Structure Your Extraction Interviews
Limit extraction interviews with the SME to a maximum of 30 to 45 minutes and ask very specific operational questions that will lead to new, original materials being generated.
For example, instead of just asking for a simple feature list, you can ask the SME what errors or mistakes they see from new buyers prior to having a thorough understanding of the solution (i.e., the problem) and also ask them what the biggest surprises are (in terms of what is required) after the customers have gone through the implementation process. Finally, elicit from the SME what claims a competitor makes that are technically inaccurate or incomplete. The information gained from using these prompts to generate evidence will produce more value than if you were to just request simple feature lists.
Service Level Agreements for Technical Reviews
Create a service level agreement that defines a timeframe for receiving technical accuracy approvals so all parties involved know what is expected of them.
If something stalls, there should be an escalation process for such instances. A writer would draft a narrative and separate data-backed facts from opinion, while the SMEs ensure the product capabilities and technical limits of the overall technology are stated properly.
Content Format Selection Based on Proof Requirement
Don't simply publish every format that is available. Rather let's define the appropriate formats for the buyer based on the required evidence that relates to their stage of evaluation in technology content marketing.
Design a Category and Create Demand
When buyers need to understand a category, companies should provide expert explanations supported by reputable academic or industry research.
Explainer videos can also be helpful in this area. If available, providing videos, blogs, and other online content can help the buyers find the right information at their convenience, and will also likely encourage retention of information.
A great example of how to create a sense of community is from Perlu. The company successfully built a community of over 20,000 active members and was able to secure a significant number of Fortune 500 leads by leveraging both a podcast series and an influencer collaboration strategy.
Nanostone Water provides a similar example of the value of using explainer videos as a means to accelerate buyer understanding in the early phases of the buying process.
Comparison of Alternatives and Evaluation
When buyers are looking to evaluate their options, having a comparison page and a checklist of fair criteria is critical to making the best choice. Technology buyers will often look for their competitors on the web. By providing clear evidence of product features and how they work, you are effectively owning the search intent for buyers organically.
Additionally, clearly pointing out product limitations in organic search engine results is a best practice. This will help buyers capture your organic demand for your products and assist buyers in narrowing down their selections.
Providing Technical Validation of Product Architecture
Buyers seeking to validate their technical fit with a specific product will typically rely on technical architecture pages, technical briefs, and technical integration guides. These documents should be heavily signed off by subject matter experts. Additionally, the content in these documents serves as answers to highly specific technical queries (i.e., "Can we use this product with our current software?"), and will help reduce the likelihood of a buyer being rejected for an evaluation.
IBM is an excellent example of building technical authority through the use of in-depth white papers that focus on cybersecurity and cloud migration.
Justification of a Commercial Purchase and ROI for the Buyer
When buyers are making a decision about how to justify their purchase, they require detailed examples of previous customer outcomes and exact quantified assumptions. In order to assist your buyers with this, you should create business cases and financial models, as well as provide customized landing pages for each customer.
For example, Sciessent utilized the creation of customized, industry relevant landing pages and dynamic resource centers to realize an annual revenue growth of 125% over a two-year period. Account-based marketing strategies thrive when used alongside this form of detailed and commercially-based content.
Post-Sale Adoption and Enablement
To ensure buyer adoption of your products after the sale, companies should provide implementation guides, onboarding plans, and security FAQs. HubSpot Academy does a great job at educating hundreds of thousands of people through the course offerings and certifications they provide. Salesforce hosts web-based resource centers featuring expert-led webinars to assist clients. By using this approach to evaluate results following clicks, organizations can decrease the amount of time required to close a sale and increase long-term retention.
Governing AI Production and Search Engine Access
The incorporation of artificial intelligence in business practices is no longer something new but has become commonplace. B
ased on survey results from technology marketers, 85% of them are in active use with AI, rather than still investigating the possibilities offered by AI. Businesses need structured workflows rather than only increases in production output.
Safe AI Usage
Define how your organization will use AI safely. AI is a powerful tool for creating outlines, summarizing patterns, providing several different metadata versions, and repurposing ideas.
Your organization must not allow its AI to make claims about customer outcomes, technical specifications, or security claims. Every time the organization's AI generates an original piece of work (regardless of the type), it must be reviewed by a human subject matter expert for compliance and performance statements and maintained in the strictest revision log for high-stakes content to retain the organization's brand safety.
Structuring for Generative Engine Optimization
AI systems used to access and browse within generative engines like ChatGPT, Perplexity, and Gemini have recently become one of the ways that marketing professionals can improve their company's ability to obtain generative engine visibility. Creating and using content that gives a direct answer to the user early in the article will help identify products and ideas correctly.
It is important to have first-party cited evidence and methodology for original data as well as a clear methodology for publishing.
Connecting pages for categories, use cases, and trust are critical for ensuring generative engines can accurately identify and connect your content with authority.
Control of First Party Data
According to 87% of technology marketers, first-party data is gathered using gated content, interactive tools, and webinars, allowing organizations to continue to target and personalize their work.
However, the number of marketers who stated that they have problems with either poor data quality or compliance is 36%. An ongoing relationship with first-party data requires the use of consent management and clean integration into their CRM systems. Otherwise, any ongoing lead generation will simply become an unwanted operational liability.
The Four-Layer Model of Attribution and Measurement
The four-layer model of attribution and measurement will help you figure out how well your business is doing by its customers, and not just by the traffic it generates. To understand your business' measurement of success, you need to examine four different layers.
Discoverability and New Account Reach
The first layer is discoverability and new account reach. At this level, you're looking at whether or not the market has had an opportunity to find you. You can track things like non-branded impressions, ranking, and AI search mentions in the areas they can be seen.
The data that falls under this layer tells you about the highest point of your mechanism (the top of your funnel).
It will allow you to validate that the optimization (for example, generative engine optimization) and organic search engines driven strategies you have established are successfully attracting the consumers who are relevant and will help you create new business.
Consumption Quality and Education
The second layer of consumption quality and education measures whether the audience you're trying to reach is actually learning anything from your content.
This can include looking at the number of times an audience engages with a session, the number of repeat visits they have, and whether or not they have actually completed a pathway through the content you've made available.
Even if you see a lot of session numbers, if the audience stops engaging with the content right away, it could mean that your content is not meeting their core questions.
If they read through all your technical briefs and exited without having invested in continuing to investigate further, it means they haven't gotten what they were looking for in your content.
Sales Qualified Leads and High Intent Actions
The third layer is sales qualified leads and high intent actions. This layer measures actionable intent for potential buyers based on their behaviour.
For example, when someone requests a demo or completes an ROI calculator or downloads a high-value technical asset, those are the moments that indicate true intent and interest in your product or service.
At this level, you begin to separate the passive readers from those who are actively evaluating and are likely to convert. When you look at the level of product-qualified attention documented by an audience, you can determine the precise pieces of content that are converting the interest in technical details to discussions regarding commercial opportunities.
Pipeline Influence and Closed-Won Revenue
The fourth and final layer is pipeline influence and closed-won revenue. This layer allows you to quantify the measurable impact of your business in terms of actual financial value. This is the measure that will provide you with a complete picture of the overall success of your marketing program. You can track the level of opportunity growth, total opportunity pipeline, win rates, and velocity of the sales cycle.
According to the 44 percent of marketers traditionally, measurement and reporting are crucial to driving improvements in their marketing performance.
Remember that attribution is a directional process and not an isolated event in business-to-business transactions. You should always define campaign performance metrics in your customer relationship management system prior to gauging final revenue results.
Final Assessment: Architecting a Revenue-Driven Content Ecosystem
The construction of a successful content engine requires a significant investment of both time and resources. The success of your company lies in how effectively you treat content creation as a governed engine of revenue.
True market authority comes from the establishment of a consistent, repeatable workflow that captures the internal technical expertise of your organization and aligns those technical competencies with the sales objectives of your company — and then packages those internal competencies into formats that will provide answers to the complex objections that B2B buyers express.
By utilizing a tiered architecture of evidence to govern the use of AI in the generation of marketing content and measuring the results of technology content marketing through the use of a four-layer pipeline model, marketers can evolve from the generation of simple traffic to driving measurable, high-value enterprise revenue.
Strategic Inquiries: Overcoming Implementation Bottlenecks
How do we effectively balance category education with specific product evidence?
The balance of category education with specific product evidence in the marketplace can be achieved through the use of educational concepts that are anchored to specific product use cases.
For example, if you provide an explanation of a broad cyber security category concept, you would then provide a visual representation (i.e., an architectural visual) of how your specific product mitigates the risk posed by the cyber security threat that you just defined in your previous sentence. The primary objective for all B2B enterprises is to transition their prospects from category education into the use of specific product evidence.
What is the optimal pathway to align content teams with sales leadership?
There are several options available for creating alignment between sales leadership and content teams. The most effective pathway to achieving successful sales alignment begins with getting content teams to stop reporting on the number of page views of their content and begin reporting on the impact that content has on the sales pipeline.
The content calendar should be developed based on the backlog of sales opportunities of the sales team, thus ensuring that every piece of content created directly supports the efforts of the sales team to enable their selling efforts.
How should we measure content impact during extended enterprise sales cycles?
Enterprise sales cycles typically span several months, and thus instant online attribution models for all sales opportunities should be viewed as inaccurate.
Therefore, the best method for measuring the progress of an enterprise account is to evaluate the manner in which the account progresses through the sales pipeline over a period of time. The manner in which enterprise accounts consume the assets located in the middle of their sales funnels (i.e., technical briefs and ROI calculators) should serve as indicators as to the overall success or failure of your content marketing initiatives.
When measuring success in this manner, you should also compare the velocity of the sales cycle for the accounts that consumed content to the average velocity of the sales cycle for accounts that did not consume the subject matter in question.
What are the primary indicators that our technical content has decayed?
You can determine whether technical content has decayed based on your product or market changes and through several immediate triggers, including new product releases, price changes, and integration deprecation.
Historically high-performing pages that experience marked declines in conversions or significant traffic-to-conversion ratios can be viewed as decaying technical content. Finally, when your competitors update their message, the level of decay of your technical content has also occurred and warrants review and update by the designated content owner.