Proven performance at MSMC has run the demand gen and search programs (and built the content and sales enablement engines powering them) that have driven real MQLs and SQLs – not just empty activity.
A top B2B SaaS provider had leads from content skyrocket from 0% to 40% of MQLs.
Michael Semer Marketing Consulting (MSMC) is a B2B marketing consultancy providing demand generation and GTM strategy, content systems, messaging diagnostics, search and AI visibility, executive thought leadership, and support for fractional CMOs. MSMC works with founders, CMOs, and RevOps leaders at B2B technology, medtech, and govtech companies, from startups through global enterprises.
MSMC drove 35% revenue growth in six months at Evisort, setting up 370% the following year. We lifted MQLs 324% at MarianaIQ, grew content-sourced MQLs from zero to 40% of pipeline at Mitratech, and produced $2.5 million in pipeline for Overtime.ai before the company had an MVP.
WHY A PIPELINE STALLS
Most B2B marketing problems look like traffic problems. They usually aren’t.
Sometimes the message is wrong: it describes the platform you built instead of the problem your buyer is trying to solve, and everything downstream strains. Sometimes the message is fine and the machinery isn’t. Content gets published without a system behind it. Campaigns generate MQLs that sales can’t work. Search and AI engines can’t find any of it.
MSMC diagnoses the specific challenges you’re facing, then delivers the strategy, process and execution solutions that fix them.
WHAT MSMC DOES
Demand Generation and GTM Strategy
Campaign architecture, funnel design, marketing operations, and the sales enablement that makes the pipeline convert after marketing hands it over. MSMC builds the program and runs it, rather than delivering a strategy deck and leaving.
Content Systems
Editorial strategy, production process, and the taxonomy underneath it, built so a small team can publish consistently without a content operation forming around it. This is what took Mitratech from zero to 40% content-sourced MQLs.
Search Visibility: SEO, AEO, and GEO
One content system built for ranked links, answer-engine summaries, and citation inside generative models. MSMC was implementing AEO and GEO for clients before it was standard practice, because clients like Evisort were building in AI and their buyers got there first.
Executive Thought Leadership
Your executives already hold the market views worth publishing, and most of it never leaves their heads. MSMC extracts the positions in focused interviews and builds them into a body of work specific enough to be worth citing.
Support for Fractional CMOs
Fractional CMOs carry the strategy and rarely have the hands to execute it. MSMC works as the content and demand gen arm behind them, running the production, campaigns, and search work under their direction, without an agency relationship for the client to manage.
WHERE ENGAGEMENTS START
Messaging Friction Audit
Messaging Friction AuditSix levers scored one to five, thirty maximum: clarity, relevance, credibility, cognitive load, unaddressed risk, and CTA strength. Every score cites specific copy. The report ends in one finding and one rewrite.
You get: A sharper value proposition and message framework. Get the audit →
Content Effectiveness Audit
We review your content library for strategic fit, then examine the pieces doing the most work. You get a clear read on which content earns pipeline and which is wasted overhead.
You get: A plan for turning content investment into measurable demand. Get the audit →
AI Visibility Audit
AI Visibility AuditSix levers scored to reveal machine accessibility, structured data coverage, entity definition, answer extractability, corroboration density, and conversion bridge. MSMC runs the prompts your buyers use and records who gets cited instead of you.
You get: A prioritized AI visibility scorecard and 90-day action plan. Learn about the audit →
Executive Authority Extraction
Executive Authority ExtractionYour executives already own invaluable ideas, opinions and market knowledge, and that’s all-important in standing out in AI search. But most never becomes usable content. In focused interviews, we extract the strongest points of view and convert them into a practical, cite-worthy thought-leadership platform.
You get: A defined executive POV, priority themes and ready-to-develop content concepts.
WHAT CLIENTS SAY
PROOF OF PERFORMANCE
Mitratech
Content-sourced MQLs rose from zero to 40% of total pipeline over two years.
Evisort
316% growth in blog traffic in a month with SEO, AEO, and GEO – revenue grew 35% over six months.
Vendavo
5,815% growth in content-driven MQLs, plus a campaign driving over 80 MQLs and 1,200+ press mentions.
Crownpeak
Content asset downloads up more than 400% and blog traffic up 230% in one year.
Ivanti
Email click-through averaged 230% above prior benchmark.
Overtime.ai
$2.5 million in pipeline before the company had a working product.
CONTENT & DIGITAL MARKETING CASE STUDIES
FAQs
MSMC provides B2B demand generation and GTM strategy, content systems, messaging diagnostics, search and AI visibility, executive thought leadership, and fractional CMO support. Engagements typically begin with a scored diagnostic and continue into building and running the programs the diagnostic points to. Founders, CMOs, and RevOps leaders at B2B technology, medtech, and govtech companies, from pre-product startups through organizations of roughly 500 employees. The audit scores one asset against one conversion goal, not your brand or your writing. You name the asset first, usually a homepage, a product page, or a campaign landing page. Six levers are then scored, covering how clearly the message lands, who it's built for, whether proof arrives in time, how much work it asks of the reader, what risk it leaves unaddressed, and how specific the next step is. What you act on is the single highest-leverage finding and the rewrite we're suggested for it. SEO earns a ranked link. AEO gets content pulled into an answer-engine summary, such as Google's AI Overviews. GEO gets content cited inside a generative model's reply. They share fundamentals like clean markup and structure, but the evidence patterns that win citations differ, and a company can win one while losing the other two. Both, and typically in that order. The same expert who produces the diagnosis writes or supervises the content, the schema, and the campaigns that flow from it. Usually because the message describes the product rather than the buyer's problem, which makes the content hard for a person to evaluate and impossible for a model to cite in AI search. More volume just compounds the issue. The fix is a smaller number of pages that state a claim specific enough to be worth citing. What does MSMC do?
Who does MSMC work with?
What is a Messaging Friction Audit?
What is the difference between SEO, AEO, and GEO?
Does MSMC do strategy or execution?
Why does content stop producing pipeline?