A $20M Company Rarely Has a Marketing Problem
A mid-market company with good agencies, sharp hires, and full tools can still stall. The real gap is rarely tactics — it’s a missing marketing-leadership seat.
A mid-market company with good agencies, sharp hires, and full tools can still stall. The real gap is rarely tactics — it’s a missing marketing-leadership seat.
Campaigns run, the website exists, and something ships weekly — yet you’re still the de facto CMO. The tells you’ve outgrown whoever’s running marketing.
Fractional CMO cost, published without the hedging: real pricing models, what drives the number, and the exact tiers you can measure any quote against.
The five numbers a CEO should watch to know if marketing will produce revenue next quarter — and the vanity metrics that describe activity but predict nothing.
Fractional CMO first 90 days: the phase-by-phase roadmap that ships a working revenue plan, not a strategy deck — and what the CEO should see at each gate.
Fractional CMO, agency, or full-time CMO — which does a $10M+ company need? Your choice depends on the gap you’re closing: execution, leadership, or scale.
A fractional CMO is a senior marketing executive who leads your marketing part-time — owning strategy, the team, and results for a fraction of a CMO’s cost.
Fractional CMO hiring guide for $10M+ companies: what the role does, how it differs from an agency or full-time hire, what it costs, and when it fits.
How to measure AI visibility: track AI citations, share of AI voice, and AI referral traffic — and connect whether AI recommends your company to pipeline.
A practical AI readiness framework for B2B marketing teams: five dimensions — strategy, workflows, skills, data, governance — plus a quick self-assessment.
Why AI cites some B2B companies and ignores others — how E-E-A-T, earned media, named authors, and consistent brand facts build authority AI trusts.
How to structure B2B content for AI citations: answer-first sections, question-led headings, cited data, and FAQ schema that AI search can extract.
AI search reasons about entities, not keywords. How B2B companies use schema markup, consistent positioning, and sameAs links to become legible to AI search.
AI search vs. traditional SEO for B2B: what carries over (technical health, authority), what’s new (extraction, entity clarity), and where budget should go.
How AI assistants like ChatGPT choose which B2B vendors to recommend — the citation, corroboration, and entity-consistency signals that decide who gets cited.
How B2B companies get found and cited by ChatGPT, Perplexity, and Gemini — five pillars of AI search readiness, from crawl access and schema to authority, reviews, and the page that converts the citation.