# Manuel Kekeisen

Manuel Kekeisen shares guidance and events for B2B marketers on LinkedIn advertising, campaign measurement, trusted voices, and AI search visibility.

- Profile: https://b2binfluencer.marketing/creators/manuel-kekeisen/
- LinkedIn: https://www.linkedin.com/in/manuel-kekeisen
- LinkedIn followers: 6,326
- Topics: artificial-intelligence, leadership, paid-ads, b2b-marketing, seo, ai-search-visibility, attribution
- Based on 16 dated posts, latest 2026-08-12

## Summary

Useful for B2B LinkedIn ads, measurement, trusted voices, and AI search visibility guidance tied to pipeline outcomes.

- Best for: A B2B measurement or attribution vendor wanting LinkedIn Ads and AI search thought leadership with a real dataset.
- Not for: Low-consideration, high-volume, bottom-funnel lead generation measured by last click, with no data partner.
- Check first: Confirm audience demographics, recent post results, and a real dataset before contacting them.

### Takeaways

- AI answers draw on the whole content system, not one best piece.
- Measure paid media by influenced pipeline, not clicks.
- LinkedIn Ads deserve a large share of B2B spend.

## Main ideas

- **AI answers draw on the whole content system, not one best piece**: Kekeisen's central argument about AI search is that models do not pick a single best article or campaign. They synthesise answers from signals across a brand's website, LinkedIn presence, third-party publications, media coverage and customer validation. The operational conclusion: build topic clusters instead of isolated pieces, keep messaging consistent across platforms, align paid, SEO, social, PR and content teams, and earn external validation through thought leadership and contributed content. The playbook post quotes the framing directly — stop thinking in channels and start thinking in systems — and says one great article or campaign is no longer enough for visibility in AI-generated answers. The systems message is argued almost entirely through LinkedIn's own features, benchmarks and product roadmap, so the channel-agnostic advice arrives on a strongly LinkedIn-shaped vehicle.
- **Measure paid media by influenced pipeline, not clicks**: The measurement thread is consistent: connect spend to MQL, SQL and opportunities; understand why attribution breaks between LinkedIn and a CRM; measure the dark funnel; handle cookie loss; and decide which tools to trust, including Insight Tag, CAPI, Revenue Attribution and DDA. Signal-based marketing is the stated method: take your own CRM data, enrich it with first-, second- or third-party signals, then activate targeted, personalised campaigns with measurable ROI. The goal is company-level visibility into who viewed or engaged across paid and organic, tied back to revenue rather than last-click reporting.
- **LinkedIn Ads deserve a large share of B2B spend**: The case is quantitative, not just a general preference for the platform: LinkedIn is the largest single ad spend line, delivers the strongest return among major networks, and most of the buying journey happens before a sales pipeline exists. That points both budget and content toward pre-pipeline thought leadership. Before using the figures to set budgets, ask for the report's methodology.
- **Trusted voices are an operations problem, not just a creative one**: Kekeisen argues that B2B marketing increasingly relies on employees, creators, executives and partners, and that shared work produces shared visibility. The distinctive part is the checklist: choose authentic voices, align the message to the campaign goal, plan approvals early, publish from the right entity upfront, and build creator and employee content with scale in mind. Approvals, publishing identity and scale planning are campaign design decisions, not admin.
- **Small, candid rooms beat stages**: Hosted events recur as a working method, and the format makes the case: invite a narrow group of senior decision-makers, co-host with an agency partner, keep presentations short, and reserve real time for two-way discussion and direct feedback. The posts report what attendees said as well as what was presented, and one dinner series is explicitly framed as listening to criticism, including where there is still work to do.
- **Give partners' research the platform, then add the framing**: The recurring method: take a partner's report, benchmark or webinar, explain what the partner does and why it matters, pull out two or three specific numbers or agenda items, add personal takeaways, and credit named contributors. Distribution goes to the partner; the post gains a data-backed subject instead of an opinion.

## Work to read

- [AI Visibility Playbook for B2B marketers](https://www.linkedin.com/posts/manuel-kekeisen_we-just-launched-an-ai-visibility-playbook-activity-7493192097336983552-y3ih)
- [LinkedIn Collaborative Posts one-pager](https://www.linkedin.com/posts/manuel-kekeisen_linkedin-collaborative-posts-overview-activity-7491053520918482944-eksX)
- [Why influenced pipeline is the future of LinkedIn Ads measurement](https://www.linkedin.com/posts/manuel-kekeisen_b2b-activity-7421454527662280704-fMFR)
- [Dreamdata's 2026 LinkedIn Ads Benchmarks Report](https://www.linkedin.com/posts/manuel-kekeisen_b2b-activity-7437761869643390977-7voV)
- [B2B Paid Media Workshop at LinkedIn London](https://www.linkedin.com/posts/manuel-kekeisen_b2b-activity-7477062800150794240-Lolu)
- [OMR Reviews × LinkedIn Agency Evening on measurement](https://www.linkedin.com/posts/manuel-kekeisen_measurement-activity-7429064585426423808-5gTp)

## Brand relationships

- **LinkedIn** (employment)
- **YOYABA** (disclosed_partnership)
- **Inno ONE** (disclosed_partnership)
- **OMR Reviews** (disclosed_partnership)
- **Front Row B2B** (mention)
- **Fibbler** (mention)
- **Dreamdata** (mention)

## Partnerships

Manuel Kekeisen's posts show collaboration through co-hosted events and co-branded content rather than a personal sponsorship offer. Recurring formats include small invitation-only workshops and dinners run jointly with agency partners, agency-facing webinars, and amplification of partner research and product guides. Each is described as a joint effort with named teams or agencies: the partner co-organises, supplies the audience or data, and works to a small, senior-room format. No published rate card, media kit, sponsorship policy or official partnership enquiry route appears in the posts; ask the agency partners and LinkedIn marketing contacts Kekeisen names how to enquire.

## Alternatives

- Alex Venus: Choose Alex Venus when a campaign for a B2B measurement vendor needs a buyer-side, first-hand account of running AI-enabled growth inside a scaling SaaS brand, rather than platform-partner framing. Their posts report from the front: co-presenting a keynote on AI in paid media at a YOYABA and LinkedIn event in London, describing what AI infrastructure looks like at Personio today and which agents are already affecting performance, and arguing that owning one channel is no longer a job. A separate post sets out a content-team rebuild around substance rather than slogans, with open roles for a head of content and a senior content marketing manager. For a six-week programme, this material is closer to "what we changed inside our own growth team, and what happened next" than a partner-report summary. It suits a single keynote or panel slot by an in-house operator better than hosting a small senior roundtable.
- Nick Handley: Choose Nick Handley when a campaign for a B2B measurement vendor centres on discovery change rather than LinkedIn specifically. Their posts explain how Google opened agentic commerce inside Gemini, what merchant feed attributes and the Universal Commerce Protocol mean for advertisers, and where to be sceptical about adoption, privacy and data ownership. Another post argues that attribution alone undervalues social channels and points to MMM alongside incrementality testing such as causal impact and geo holdouts as ways to see contributed value. That combination suits a paid media campaign that can challenge platform-reported numbers and widen the AI search visibility story beyond one network.
- Tom Casano: Choose Tom Casano when the audience is junior-to-mid practitioners executing LinkedIn campaigns and the goal is direct tactical teaching rather than a senior roundtable. The posts offer specific diagnoses and numbers: mobile friction on LinkedIn ads, a switch to Lead Gen Forms with stated conversion differences and cost-per-lead maths, and the case for influenced pipeline and influenced revenue, naming Fibbler, Dreamdata and HockeyStack. That suits a how-to asset or a short, high-volume series on LinkedIn ad mechanics and measurement tooling, where readers want a concrete fix they can apply this week.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/