How to Build a Multi-Platform B2B Presence That Actually Sustains Executive Attention (and Cuts Your Cost Per Lead)

TL;DR

• Gartner found that buying groups can range from 5 to 16 people across as many as 4 functions, and 74% of those groups demonstrate "unhealthy conflict" during the decision making process — meaning reach alone won't close deals.
• The B2B buyers surveyed by the McKinsey Global Institute in 2024 used on average 10 different interaction modes along their buying journey. A negative digital experience was the reason for likely switching in 54% of cases.
• Buyers are 20x more likely to choose a vendor when every member of the buying group has already heard of the vendor on day one (LinkedIn & Bain). So building brand familiarity among all relevant stakeholders within a buying group is a powerful way to accelerate consensus amongst stakeholders.
• 60% of B2B buyers use AI during the purchase process and 63% of those subsequently validate the information generated by AI on Google Search. The paid search marketing campaign and AI citations must therefore tell the exact same story.
• BusySeed has recently worked with an executive search technology company that was failing to get B2B lead generation from its single-channel B2B outreach campaigns. We synchronized its LinkedIn advertising with its Google search advertising to create an executive-intent funnel for high-value leads. Cost per lead: $26.84.

Stop Single-Channel B2B Outreach From Quietly Killing Your Pipeline

While many attribute lack of success in B2B marketing campaigns to lack of budget or creative effort, slowly but surely one missed call, one unopened email, or one unengaged ad can lead to the demise of a pipeline before one even realizes what hit them.

According to Gartner research of the B2B lead generation process, buying groups consist of 5-16 individuals from up to four organizational functions (36% of buying groups are from 3 or more functions). Reaching the appropriate individual on a single channel is reaching the buying group on average 6-12% of the time. A single campaign of outreach (or even a single piece of content) will only occasionally succeed at reaching all of the individuals in the buying group.

But there are more factors at play than the fact that 61% of B2B buyers would prefer to go through a rep-free buying experience. In fact, 73% of B2B buyers will go out of their way to avoid suppliers who conduct irrelevant outreach. In reality, the majority of B2B buyers conducting research for purchases of $50,000 and up are doing so without the knowledge of the marketing and sales team. And unless that marketing and sales team has set up shop on the research platforms the buyer is using (search, LinkedIn, AI-generated overview content of the solution categories being researched), they will miss opportunities to engage with that buyer.

The B2B lead generation Decision Making Process in 2026

B2B lead generation processes have always deviated from linear paths of direct sales interactions, yet the process has grown in complexity in recent years, incorporating a host of activities such as research, politics, and AI-powered supplier evaluation and validation. Buyers are now working within buying groups, and their individual research processes can take anywhere from 8 to 12 months before even agreeing to a demo.

Dreamdata’s 2025 analysis of the average B2B deal length found that, on average, 76 touchpoints occur across 3.7 channels to convert a buyer. Those conversions occur on average 272 days after the first touchpoint that starts to generate revenue for the selling organization.

Why does brand familiarity function as a consensus accelerant?

All marketing messaging must now be framed through the lens of, “Is this defensible for my organization?” And that reframe changes everything in the decision making process.

Is Your B2B lead generation Strategy Built For A Buying Group Or A Single Buyer?

Most B2B lead generation campaigns are designed around the idea of a single buyer, using a single medium to research vendors and going through a linear process to arrive at a single conversion point. The process of how a purchase is approved at a mid-market/enterprise organization is very fragmented and does not involve a lot of coordination among the decision makers. The way a purchase is approved is as follows: the marketing leader finds the supplier on LinkedIn; the CFO performs a search on Google for the supplier’s name and reads their case studies; the IT director asks for an AI-generated overview of the supplier’s category compared to 3 other competitors; the legal team performs a security review of the supplier; the CEO takes a glance at the supplier’s LinkedIn thought leadership posts and either gives a thumbs up or a thumbs down.

Many B2B lead generation strategies are still designed around the single buyer. In other words, they’re designed for one decision maker, one channel, one conversion. While this approach is often clean and easily measurable, it’s not at all how most large deals are really made. Instead, there are many different buyers who go through different research and evaluation processes. And instead of a single conversion, there are many conversions that take place before a sale is finally made. In short, a good B2B lead generation strategy for 2026 will be designed to cover all of the various members of a buying group and all of the various conversions along the way to the final sale.

In terms of B2B lead generation, most B2B marketing strategies are designed around the idea of a single buyer making a decision with the aid of one or two other people. Most strategies are also channel-specific and only rely on one or two channels to produce leads. In 2026, all of the above will lead to failure for most B2B companies. B2B lead generation strategies in 2026 must be designed to cover all of the people involved in buying groups of two or more. All channels must be used to produce leads, and those leads must be short-listed via multiple platforms. As a result, B2B marketing strategies in 2026 will need to be designed to create a multi-platform presence in order to cover all buying groups.

Multi-platform presence means that you are present in all of the channels and that you are coherent in all of them. This coherence is critical in the decision making process because each member of the buying group may encounter your brand in different contexts. If your messaging is inconsistent, it can create confusion and erode trust, which is detrimental to B2B lead generation.

Why Does Brand Familiarity Function as a Consensus Accelerant?

Brand familiarity is NOT a soft metric. It is the SINGLE BIGGEST MECHANICAL ADVANTAGE you can build in a group purchasing environment.

LinkedIn's research with Bain found that the presence of brand trust with every member of a buying group increases the likelihood of the group choosing that vendor by more than 20 times on the day of formal evaluation. The research found that 20 times is more than just a competitive advantage; it is a buying group advantage that will lock out other competitors who have not developed brand awareness prior to the RFP.

To better understand how brand familiarity functions as a consensus accelerator, consider the following scenario: You have been researching different vendors for a few weeks, and you have read a security overview by a competing vendor (the legal team). You have read a white paper by the competing vendor on the technology you need (the IT department). You have looked up the competing vendor on various AI-powered research platforms (the Ops team). And, finally, you have read the thought leadership posts by the competing vendor on LinkedIn (the CEO). After the RFP has been sent to various competing vendors, you have read the case studies on a company the vendor implemented for (the CFO). When the internal conversation about the various competing vendors starts, your inferior competitor has air cover from every member of the buying group, while you have only one champion.

The 20x familiarity multiplier functions as a new sales strategy, and we can now redefine “awareness” as the percentage of the target buying group who already know the name of your company prior to the evaluation process starting. This is a critical component of any B2B lead generation strategy because it ensures that your brand is top of mind when the decision making process begins.

Multi-Platform Presence: Paid Search Marketing

Paid search marketing is commonly used as a bottom-of-funnel marketing tool to capture people who are ready to purchase from a search query. But search can be used for so much more in a multi-platform marketing approach and is used to capture people at all stages of the decision making process.

Search can be used to capture users at all points in the process: Awareness-stage search queries, such as “what is [category]?”; Consideration-stage search queries, such as “best [category] software for enterprise”; Competitive queries, such as “[competitor] alternatives”; and Validation-stage search queries, such as “[your brand name] reviews”.

A typical RFP process for software evaluation passes through several intent stages: awareness, consideration, competitive comparison, and validation. As BusySeed has found in their work with B2B SaaS companies, buying companies usually decide on a vendor prior to the formal RFP process. For example, the CFO has been marketed to by the vendor before. The vendor created content that the CFO read on LinkedIn. The vendor wrote a whitepaper that the CFO downloaded after reading it in a Google search. The vendor was mentioned in an overview of the category that the CFO read while researching the category using AI. In such cases, the SDR from the winning vendor has air cover from the content that the buyer read prior to the RFP process. This is in stark contrast to the losing vendor who only had one champion at the buying company.

Paid search marketing is typically viewed as a bottom-of-the-funnel channel, but it can also be used to capture users at other points in the sales process. For example, awareness-stage searches, consideration-stage searches, competitive searches, and validation-stage searches. Each of these types of searches typically has different types of queries and requires different types of landing pages.

Paid search marketing is not a solo activity. There are many other factors that now influence search behavior in the B2B lead generation process. For example, Google and NRG’s research into the 2025 B2B buyer journey found that 60% of B2B buyers use AI tools as part of their purchasing process. Of those, 63% then search on Google to verify what the AI tool outlined to them in terms of options for purchase. The paid search marketing marketer must understand this new layer of verification and ensure that their ads are triggering with the right message to reinforce the overview that has been outlined to the buyer.

Incorporating paid search marketing into your B2B lead generation strategies is essential because it allows you to capture leads at every stage of the decision making process. By aligning your paid search marketing efforts with other channels, you can create a cohesive narrative that guides the buyer through their journey, ultimately improving your lead scoring and conversion rates.

How Does Lead Scoring Work as Part of a Multi-Platform Presence?

A bad lead scoring process is better than no process at all. A good lead scoring process is an engine that identifies buying group signals for your sales team. Evaluating individual behavior (opens, downloads, etc.) does not equal finding buying group signals. A signal for your sales team would be accounts that have multiple stakeholders engaged over time (i.e., broad account-level engagement).

Most lead scoring is based on giving points for positive actions that contacts perform. The score then goes up and down depending on how active the contact is on the site. Typically, at the end of the lead scoring process, the score is used to tell the SDR when to pick up the phone and have a conversation with said contact. Usually, the contact will inform the SDR that they are not looking to purchase a solution to a problem that the company sells, and that will be the end of the lead scoring for that contact.

Lead scoring done badly is just a way of pretending to have a B2B lead generation process when actually you don’t. Done well, it helps to identify accounts where there are now buying group signals and helps SDRs to know when to call.

A correct lead scoring can also be a buying signal. When a target account is clicking on paid search marketing ads by your company, its stakeholders are engaging with the company’s content on LinkedIn, and somebody from the account has recently asked for the demo page of your product or service, then this account should be highlighted red in your CRM. The SDR does not have to “cold call” the company. He or she is joining a conversation that is already taking place.

A note on data: A lead scoring model is only as good as the data that is flowing into it. Without proper integration of platforms, the activity on LinkedIn cannot be tied back to data in a CRM system. Similarly, clicks on Google Ads cannot be matched up against account information in a database. This is why the layers of an orchestration stack matter as much as the logic of scoring in a lead scoring program. Recently, Connectd demonstrated an integration with HubSpot (HubSpot Case Study). With this integration, the sales team of the client was able to track the entire journey of a customer across the internet, resulting in a 98% increase in ROAS and the removal of 500 manual tasks per week.

Effective lead scoring is a cornerstone of any successful B2B lead generation strategy. By focusing on account-level engagement rather than individual actions, you can better identify which accounts are ready for sales outreach. This approach ensures that your B2B lead generation efforts are aligned with the decision making process of buying groups, ultimately improving your conversion rates and reducing your cost per lead.

How Can AI Overviews Change Your B2B lead generation Approach?

The landscape of B2B lead generation is shifting rapidly. A large part of B2B lead generation right now is centered around AI-generated overviews, and the majority of organizations are struggling to adapt. The vast majority of B2B lead generation practices being employed by practitioners right now are incomplete and will fail regardless of how expertly they are executed. Those practices include: Rank #1 on Google for your target keywords and get found by potential buyers.

Research published on arXiv in May 2026 analyzed approximately 55,000 trending queries and found that AI Overview activation hit an average of 13.7% overall — but jumped to 64.7% for question-form queries. That’s to say that the activation of AI Overviews, on average, is 13.7% for trending queries. However, if we break this figure down by the form of the search query, it is clear that question-form queries (i.e., those that a senior buyer might ask during the early research phase of a purchase, such as “What’s the best executive search tech platform for mid-market companies?”) are activated a massive 64.7% of the time. Interestingly, the study also found that approximately 30% of domains cited in AI Overviews did not appear in the co-displayed first-page organic results.

Citation share of voice is a metric that is becoming increasingly important for B2B lead generation in the AI Overviews era. The new phase of B2B lead generation requires a rethink of the entire process of generating leads. If you have set up your content in the correct way, containing the correct amount of structured information, clearly sourcing it and being consistent, then the AI will be able to correctly pull out the correct information from it and attribute the correct claims to you. This means that you can be featured in the AI Overviews for relevant queries without ranking for the first page of the organic results for those same queries.

A critical component in generating B2B leads today is the publication of content that will be cited within AI Overview results for relevant search queries. For this to occur, the content must outline key definitions for terms associated with your products and services, followed by clear and structured information relating to related topics and subtopics — typically formulated as Frequently Asked Questions (FAQs). Furthermore, the content published on a company’s blog must also be marked up with schema and consistently published across other third-party published articles and case studies (such as guest articles) to enable consistent information to be surfaced by the AI Overview.

Incorporating AI overviews into your B2B lead generation strategies is essential because it allows you to capture leads at the earliest stages of the decision making process. By ensuring that your content is structured for AI citation, you can improve your visibility and credibility with potential buyers, ultimately enhancing your lead scoring and conversion rates.

Step 6: What Did BusySeed's Executive Search Tech Case Study Actually Prove?

The $26.84 B2B lead generation cost per lead result for the executive search technology case study did not come from one trick or a cleverly worded ad. It came from creating a system to execute B2B lead generation at scale.

The client in question was operating a number of separate LinkedIn campaigns as well as a number of separate Google Ads campaigns — all targeting the same broad audience with the same poor positioning and messaging. While their LinkedIn campaigns were actually brand awareness campaigns that weren’t driving much conversion-focused activity in the first place, their Google Ads category targeting was capturing a large amount of relatively low-intent traffic with not enough filtering for true buying intent.

BusySeed first creates an intent map. This maps out the various searches that senior buyers perform when going through the different stages of their decision making process. It lists out the language and the various objections that senior buyers have at different stages of their decision making process. Next, BusySeed creates an overview of the paid search marketing. The ad groups are set up by intent layer. This means that the various ad groups are very tightly themed. Then, the targeting on LinkedIn is set up by job title, seniority, company size, and industry. This allows BusySeed to reach the real buying group and ensure that they are not just reaching a rough approximation of the account decision makers.

The lead scoring was configured to identify accounts with multiple stakeholders active as opposed to individual contacts high in click activity. The retargeting campaigns were set up to prove a point of view with regards to the best executive search technology platform for mid-sized companies. The ads included evidence of such, the ROI of such, and credibility of implementation. BusySeed achieved a cost per lead of $26.84 for the B2B lead generation for the executive search technology campaign, with the sales team able to follow up with a predictable stream of qualified demo appointments with senior executives. This result is not expected to be replicated by all companies. The client had a well-defined ICP, a solid value proposition, and the organizational infrastructure to support a structured build-out over a 90-day period.

This case study demonstrates the power of a well-executed B2B lead generation strategy. By aligning paid search marketing with LinkedIn advertising and implementing a robust lead scoring system, BusySeed was able to significantly reduce the cost per lead and improve the quality of leads generated. This approach ensures that your B2B lead generation efforts are aligned with the decision making process of buying groups, ultimately improving your conversion rates and reducing your cost per lead.

Comparison: Single-Channel Outreach vs. Synchronized Multi-Platform Presence

Putting the New System into Action

Step-by-step through the new system of multi-platform, multi-functional marketing for complex, long sales cycles.

1. Map your buying group, not just your buyer persona. Identify every function that touches the decision making process at your target accounts — finance, IT, operations, legal, and the executive sponsor. Build messaging for the group, not just the champion.
2. Audit your current paid search marketing structure by intent layer. The intent layer refers to the different stages of the buying process that a customer goes through before making a purchase. These typically consist of awareness, consideration, competitive, and validation intents. Therefore, it is recommended to sort your paid search marketing keywords into these different intent layers and organize them into ad groups, create corresponding landing pages, and set up tracking for tracking. If your current organization for paid search marketing does not consist of these separate intent layers, then it would be best to first reorganize your paid search marketing structure in this manner.
3. Build a “content kit” that can be used across search, LinkedIn, and AI surfaces — a POV, risk, and proof “kitchen” that can be used as a starting point for each role at a potential customer — with add-ons for each role that don’t contradict the core content.
4. Set up account-level lead scoring. Most B2B companies already have a CRM/marketing automation system in place. Use these systems to score leads on an account-level. Score every engagement by every contact at every account. Set a threshold for what constitutes a “buying group signal” (e.g., three or more people from different functions at the same account engaging within a 30-day time period).
5. Structure your content for AI citation. To prepare your content for citation by AI surfaces, make sure that your key pages include FAQ sections that clearly and concisely define key terms and concepts related to your company’s and category’s value proposition. Additionally, use schema markup on blog posts and case studies. Make sure that third-party mentions of you and your company in places such as guest posts, media coverage, and analyst reports, etc., reinforce the same positioning claims as your owned content.
6. Retargeting sequences. In contrast to bombarding past website visitors with new, different promotional messages after 30 or so days, retargeting sequences of communications, in different formats, should over time deliver consistent and growing amounts of proof of value to them (60–90 days in total).
7. Run synchronized campaigns on LinkedIn and Google Ads to reinforce a single POV across both channels. As a Finance Champion researches your company on Google, ensure that his experience on LinkedIn of your brand reinforces the very same messages.
8. Track buying-group reach in addition to impressions. Set a percentage of roles in your buying groups that you are trying to reach on a weekly basis and report on this as well as impressions to make sure your B2B lead generation is covering the right amount of pipeline.
9. Run a content consistency audit. Take a look at your homepage, your LinkedIn Company Page, your best blog post, and your best paid search marketing landing pages. Read them all next to each other. Would a CFO and a CTO that research you out individually come up with a similar description of your company?
10. Set up a quarterly review for all B2B lead generation strategies. In this meeting, you check whether the correct data is entered in the CRM software by all platforms and whether the lead scoring updates correctly as a result of cross-channel behavior. You also check whether all B2B lead generation strategies are still aligned to the buying groups and ICP of the organization.

How Do B2B lead generation strategies Work Across AI and Human Research Simultaneously?

Consistency.

Consistency: Not creativity. Not a ton of money for fancy B2B lead generation strategies. Consistency in how you communicate with senior buyers by way of the various tools and platforms that they use to research information about a category. Consistency of the positioning of your brand with regards to the problems of potential clients. The senior buyer researches a category with an AI tool (e.g., AnswerBase by Avenari) for validation of the information read on the website of your company (which was quoted in the AI tool in the first place). He or she then validates the information found on the web by researching the category on Google. He or she then reads the thoughts of your company on LinkedIn. And then he or she asks around as to who your company is and what they do. The senior buyer gets a very consistent brand position from all of these various sources of information. That is the essence of B2B lead generation strategies in today’s environment to generate qualified B2B sales leads in a cost-effective and efficient manner.

One of the biggest mistakes companies make when it comes to B2B lead generation is failing to develop a core message or set of positioning claims around their company. And then, failing to be consistent in terms of the types of evidence that is used to support each of those positioning claims across all of the different platforms and formats that will be used to reach customers. This means that the same set of core proof points need to be presented on paid search marketing landing pages as they are on LinkedIn thought leadership posts, on case studies, and in FAQ markup on key web pages. The categories of evidence will differ slightly, and the different formats will be optimized for different types of customers. But the core message should remain the same.

This is not a glamorous job. It is infrastructure. And, as with most things that are part of the infrastructure of a company, you don’t really notice it until it breaks. Ensuring consistency across all platforms and formats is critical to the success of your B2B lead generation strategies. By aligning your messaging and positioning, you can improve your lead scoring and conversion rates, ultimately reducing your cost per lead and improving the quality of leads generated.

FAQ: What Real B2B Marketers and Buyers Are Actually Asking

Q: What is the difference between digital marketing services for B2B and B2C? How does it affect B2B lead generation strategies?

B2B digital marketing services are very different from those offered by digital marketing services for B2C. The primary reason for this is the nature of the purchase dynamics at play. B2C marketing is typically used to sell to one person who makes the purchase decision quickly. B2B marketing is used to sell to groups of people and can take up to 6-12 months to reach a final decision by the buying group. As such, the content, channels, paid search marketing, and lead scoring used by B2B digital marketing agencies are structured with the buying group in mind. A B2B digital marketing agency that does not take this into account is applying B2C marketing principles to B2B problems.

What makes the digital marketing services of top marketing and sales consulting firms in the US offer for B2B lead generation so different from what in-house marketing teams offer?

Expert services are built on two things: cross-industry expertise to know what to aim for, and a full-stack of platforms to integrate. A senior marketer at a medium-sized B2B company has deep knowledge of their ICP but does not know the achievable industry average cost per lead or the many ways other companies are generating leads for similar ICPs. The best B2B marketing services have done campaigns in many industries and thus know that lead scoring used for SaaS companies does not work as well for companies that sell executive search technology. They have the technical expertise to integrate all of the platforms a company is using to get a single view of customer interactions in the company’s CRM system. Measurability is key to scaling a program that is currently generating leads at a cost that is not sustainable in the long term.

How do I generate qualified B2B leads for my startup (small company) with no brand recognition?

Start-up B2B lead generation starts with paid search marketing around high-intent queries that are not so competitive that they are too expensive for the start-up to afford. In addition, it is critical and very important to set up lead scoring very early on in order to capture buying signals even if there is not a lot of lead volume. Furthermore, utilizing case studies and social proof from early customers facilitates the decision making process with familiarity with the brand introduced to every buying group member of a target account before an official evaluation begins. Research from LinkedIn and Bain found that such familiarity increases by a 20x multiplier when a brand is introduced to every buying group member of a target account before an official evaluation begins.

Comparing B2B lead generation Services for Startups and Small Businesses to Find the Right Partner for Your Marketing.

How you can evaluate whether or not a B2B lead generation service provider is right for you and your company. A good starting point for this is to have a dialogue with said provider in order to get a sense of whether or not they would be a good partner for you. During this time, ask the service provider to describe how they would define a qualified lead for your company. It is also worth asking how said provider would manage the content needed to support leads generated by the various digital marketing services offered by said provider, as opposed to each service being managed in isolation. Next, you should ask the service provider to explain their lead scoring methodology and how said methodology was used to generate leads in the past for industries similar to your own as well as for companies with ideal customer profiles similar to your own. After this, look at any case studies that said provider has completed in the past and ask for specifics on the B2B lead generation cost per lead numbers for each case study and how said numbers were achieved. Be sure to ask for industry-specific numbers as well as average numbers for all industries in order to get a better sense of what the ROI would be from the lead generations for your company compared to other similar companies in the B2B marketing space. For example, the cost per lead for an executive search technology vendor would likely be in the region of $26.84 per lead compared to the average cost per lead for an SMB software vendor of $26.84 per lead. Clearly, there would be much greater ROI from the lead generations for the executive search technology vendor compared to the average ROI for the same from lead generations for an SMB software vendor.

Digital Marketing for B2B Technology Sellers in an AI World: What it looks like and how to generate qualified leads for your company!

We serve two purposes with your digital marketing: 1) We generate leads from traditional search and social, and 2) We generate AI citations that allow AI-powered research tools to correctly cite your company for future research by potential buyers. By creating content that gets cited by third-party sites and then accurately citing that same content in your search and social marketing efforts, you will be generating a lead on traditional search and social and creating correct citations on AI-powered research tools. For example, if an AI-powered research tool states that you are a “workflow automation platform,” then your paid search marketing ads and your LinkedIn ads must also state that you are a “workflow automation platform.” This will ensure that all of the correct content created months prior and all of the correct citations from third-party sites are being cited by the AI-powered research tool for future research by potential buyers. As can be seen from the recently released Google B2B Buyer Journey study, 63% of B2B buyers that use AI-powered research tools to research vendors validate on Google Search. Thus, your paid search marketing efforts will now act as the verification layer for the AI-powered research tools used by potential B2B buyers to research vendors.

Works Cited

Dreamdata. “The B2B Customer Journey.” Dreamdata, 2025, dreamdata.squarespace.com/b2b-customer-journey.

Google and NRG. “The 2025 B2B Buyer Journey.” NRGMR, October 2025, www.nrgmr.com/resources/Google%20B2B%20Buyer%20Journey_October_2025.pdf.

LinkedIn and Bain. “B2B Group Buying: Brand Trust.” LinkedIn Business, www.linkedin.com/business/marketing/blog/collective-conversation/b2b-group-buying-brand-trust.

arXiv. “AI Overview Activation in Search Queries.” arXiv, May 2026, arxiv.org/abs/2605.14021.

HubSpot. “Connectd Case Study.” HubSpot, www.hubspot.com/case-studies/connectd.