# Garrett Mehrguth

Garrett Mehrguth shares practical B2B marketing advice and campaign case studies from Directive, covering paid search and social, lead quality, brand investment, and visibility in AI-driven search.

- Profile: https://b2binfluencer.marketing/creators/garrett-mehrguth/
- LinkedIn: https://www.linkedin.com/in/garrettmehrguth
- Median of last 9 posts: 41 reactions, 18 comments (checked 2026-11-02)
- Topics: artificial-intelligence, sales, paid-ads, b2b-marketing, seo, ai-search-visibility, attribution
- Based on 9 dated posts, latest 2026-10-07

## Summary

Garrett Mehrguth shares practical B2B marketing advice and Directive campaign examples about paid search, social, lead quality, brand, and AI search.

- Best for: A B2B agency or strategy-led campaign focused on qualified pipeline, not maximum lead volume.
- Not for: A guaranteed sponsored post with fixed lead numbers and last-click attribution alone.
- Check first: Confirm whether this is an agency engagement or a personal collaboration, and ask for a measurement plan.

### Takeaways

- More leads is easy; sales-accepted leads are the hard part.
- Attribution is too narrow, so brand investment is managed with macro pipeline KPIs.
- AI search visibility splits into durable reputation and fragile tactics.

## Main ideas

- **More leads is the easy part; sales-accepted leads are the hard part**: Garrett argues that lead volume can look healthy while sales rejects the leads or cannot close them. He wants budget to follow opportunities and sales acceptance, not the cheapest conversions. A higher cost per conversion can be acceptable when it comes with higher win rates and contract values.
- **Attribution is too narrow, so brand investment is managed with macro pipeline KPIs**: Garrett describes attribution as one of the biggest problems in B2B marketing and points out that most advertising is never clicked. He argues Google search ads mostly capture existing demand rather than create incremental demand, so growth requires brand spend on channels such as Meta, LinkedIn, CTV, and Native. Because individual opportunities often cannot be tied back to impressions, he recommends accountability through proposals held, demos, trials, and bookings won on a 90-day lookback.
- **AI search visibility splits into durable reputation and fragile tactics**: Garrett separates technical AI-search work — schema, formatting, getting quoted, being parsable, publishing markdown versions of support and product content — from the more durable work of brand reputation. He argues that earned coverage, PR, and reviews on respected platforms are what sustainably feed the knowledge graph. A tactic that changes when the model changes is a hack, not a channel moat.
- **Review sites are now category infrastructure for LLMs, not just lead sources**: Garrett says B2B marketers often think about review sites only as places to spend money and get leads. He argues that review sites now teach LLMs and Google which categories a brand belongs to and which industries it serves. That makes review-site presence and third-party listicle inclusion part of AI and search discovery, not just demand generation.
- **Test targeting and offer before creative, and let account evidence pick the LinkedIn format**: Garrett argues that creative affects click-through rate, but targeting and offer determine who shows up to demos. Lower-friction asks such as interactive product tours can move cold buyers better than a demo request. His LinkedIn format advice is not universal: one account may expand conversation ads while another moves away from them, so the decision should be based on qualified replies, MQLs, or opportunities rather than form fills alone.
- **Agency sales needs a structured multi-call close, not a one-call close**: Garrett tells agency owners that the one-call close — run an audit, get on one call, send the contract — is how agencies get ghosted. He argues for a structured process where each call has a purpose: discovery, methodology and positioning, pitch with price, and statement-of-work review that maps procurement, legal, and finance.

## Work to read

- [How Directive reallocated paid search and LinkedIn around opportunities](https://www.linkedin.com/posts/garrettmehrguth_in-a-single-quarter-directive-increased-activity-7503146397190221824-0AQv)
- [When more leads need to become sales-accepted leads](https://www.linkedin.com/posts/garrettmehrguth_more-leads-is-easy-more-leads-that-sales-activity-7506362647068475393-whRI)
- [Why brand investment continued without clean attribution](https://www.linkedin.com/posts/garrettmehrguth_attribution-is-the-biggest-thing-plaguing-activity-7511096362504052738-8o_F)
- [AI visibility: separating durable brand work from model-dependent hacks](https://www.linkedin.com/posts/garrettmehrguth_b2bmarketing-geo-pr-activity-7509250340257452033-bPGB)
- [A Gartner-reviewed AEO setup for a cybersecurity client](https://www.linkedin.com/posts/garrettmehrguth_one-of-the-most-mature-aeo-setups-weve-activity-7503905166643974144-JVRS)
- [Review sites as a category signal for LLMs](https://www.linkedin.com/posts/garrettmehrguth_if-youre-in-b2b-marketing-you-need-review-activity-7516569865256857603-nGl_)
- [The attribution math behind 98% of non-clicking buyers](https://www.linkedin.com/posts/garrettmehrguth_only-2-of-your-marketing-is-even-attributable-activity-7513670750566932481-AIE-)
- [The four-call agency sales process](https://www.linkedin.com/posts/garrettmehrguth_agency-owners-stop-trying-to-close-deals-activity-7508868653346488320-NKEX)

## Brand relationships

- **Directive** (employment)

## Partnerships

Garrett Mehrguth's posts do not advertise sponsorship packages, paid placements, sponsored posts, or creator-partnership rates. Across the supplied LinkedIn posts, the only commercial offers he names are services sold by Directive, the B2B marketing agency he leads: paid media management across Google and LinkedIn, AI search visibility (AEO/GEO) work, and PR and communications support. Those are agency engagements a client buys through Directive, not influencer formats a brand books with Garrett personally. Nothing in the available material shows a sponsorship menu, rate card, media kit, exclusivity terms, or disclosure practice, so quoting a rate or deliverable mix would be guesswork. What is documented is the absence of any stated partnership offer in this material; that is not a claim that he never accepts sponsorships. If a brand wants to work with him, the realistic route is a commercial conversation with Directive rather than a standard creator booking, and a buyer should confirm sponsorship availability, pricing, and disclosure directly before planning around it.

## Alternatives

- Vincent Plassard: Choose Vincent Plassard when the brief is a defined target-account list and the client's problem is relevance at scale rather than broad lead capture. The reviewed posts lay out a five-stage account-based motion — intelligence, creation, distribution, optimization, visibility — and argue that the real bottleneck is queues, not people: nobody hand-builds 200 personalized experiences, bids get set at launch and reviewed days later, and engagement sits in a dashboard until the next pipeline review. That framing suits a client whose campaign needs to reach a known set of accounts with different proof points for different stakeholders, and whose sales team needs engagement signals pushed back into scoring while interest is still warm. His second reviewed post is the sharper test for a buyer: it warns against using AI to produce more assets that say roughly the same thing, and asks instead that the level of context from a 20-account program be preserved at 200 accounts.
- Jonas Strambach: Choose Jonas Strambach when the client's bottleneck is measurement rather than campaign structure: the team cannot say which campaigns closed revenue, what a qualified lead cost per channel, or which touchpoints sat behind a deal that closed. The reviewed posts work at that layer. One sets out twelve Claude prompts for connecting attribution data and asking for revenue by campaign, return on Meta ads counted on signed deals, every touchpoint behind a closed deal, where the biggest deals started, which ad sets spend budget without reaching a demo, cost per qualified lead by channel, and what closing journeys have in common. The other is a plan-versus-reality list about paid media: budget scaled on a competitor sighting, one ad run unchanged for months, audience targeting reduced to a job title, and platform lead counts that sales does not recognise.
- Dev Basu: Choose Dev Basu when the buyer is a newly appointed marketing leader — or a client whose marketing system is visibly broken — and the campaign cannot be planned until the foundation is fixed. His 100-day sequence is the clearest reviewed alternative for that situation: audit closed-won deals, map channels against pipeline, check the real MQL-to-SQL rate, audit attribution, and interview the last five sales losses; then align the ICP with sales, agree on what a good lead looks like, and set one North Star pipeline metric; only then launch bottom-of-funnel content and paid search on bottom-of-funnel keywords, reactivate cold CRM leads, and fix the demo page before sending traffic. His second reviewed post explains why complex deals stall: a six-stakeholder buying committee asks about internal sellability, strategic impact, ROI, security and integration, implementation and terms, and most teams build content for only one of them.

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