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AI-NATIVE EDITORIAL STRATEGY FOR B2B SAAS
Most B2B SaaS companies do not have a content problem. They have an editorial problem. The best customer stories live in call recordings. The sharpest thinking stays in Slack. I find what is already there and turn it into authority only you can credibly claim.
30 minutes. You will leave with a read on whether a Discovery Sprint is the right move.
Every content team on earth can now produce more, faster. That was supposed to be the win.It moved the bottleneck instead.When anyone can generate a competent draft in four minutes, competent drafts stop being worth anything. The constraint moves upstream, to originality. And originality cannot be generated. It has to be found.That is the gap most B2B SaaS teams are standing in right now. They have AI tools. They have a publishing cadence. They have a content calendar that never misses.And none of it sounds like only they could have written it.
That is the discovery gap. Closing it is the entire offer.
Seven signs the problem is editorial, not production:
Your best customer stories exist only in call recordings and a Slack channel nobody searches.
Your executives have a point of view the market has never heard.
The team publishes consistently, and every piece could have been published by three competitors.
You bought AI tools and now produce mediocre content faster.
Your subject matter experts are willing, but every interview goes thin.
Your Head of Content left, and the institutional knowledge left with them.
You are sitting on proprietary data you have never turned into research.
None of these get fixed by writing more. They get fixed upstream.
Authority is discovered before it is communicated. Publishing does not create authority. It amplifies whatever is already true. If nothing distinctive is there yet, volume just distributes the sameness faster.
The quality of your point of view is set by the quality of your discovery. Most editorial work begins with writing. It should begin with listening. Interviews, customer conversations, qualitative analysis, pattern recognition. The draft is not the beginning. It is the result.
AI raises the value of original organizational knowledge. AI can research, summarize, and scale. It cannot replicate insight earned across years of customer conversations and implementations. Everything AI made cheap is now worth less. Everything it cannot touch is worth more.
Editorial leadership is an organizational capability, not a marketing tactic. Knowledge is created in Product, Sales, Customer Success, Services, and the executive team. An editorial function that only talks to Marketing is structurally blind to half of what it needs.
Five stages. The same spine behind every content strategy, customer interview program, executive voice engagement, and benchmark research launch I have built in 15 years.
Stage 1 · Discover Find the expertise the organization overlooks. Listen widely, interview deeply, look far outside Marketing. The best ideas hide in places no editorial calendar reaches.
Stage 2 · Decode Separate anecdotes from patterns. One conversation is interesting. Twelve conversations reveal a market truth.
Stage 3 · Distill Define what is genuinely differentiated. Not everything deserves to be published. The work is naming the three to five ideas only you can credibly own.
Stage 4 · Develop Turn validated insight into durable assets. Original research, executive point of view, conference talks, customer stories, sales narratives.
Stage 5 · Activate Embed the capability. Authority is not distributed, it is activated. The strongest editorial systems run a standing loop between Product, Sales, Customer Success, Marketing, and leadership.
A capability the company could not see. A software platform I worked inside had an agency services team quietly serving global consumer brands. Nobody treated it as a story, because the company saw itself as a software company. We built a focused demand generation program around that overlooked expertise. Agency services revenue went on to surpass platform revenue.
A strategy the sales team had been waiting for. I joined a company with no content strategy for a complex qualitative research product. I did not start with campaigns. I interviewed stakeholders across the organization, talked to customers and subject matter experts, and tore down the existing content. The strategy landed with immediate GTM buy-in because it described reality instead of assumptions. A sales leader read it and said, "we've been waiting years for this."
Expertise turned into a standing engine. At an ed-tech company I built a network of more than 100 customer advocates and industry experts. That network fed webinars, conference sessions, case studies, white papers, and media coverage for years, long after the campaigns that started it ended.
Fifteen years across B2B SaaS and ed-tech, at Director and Head-of level. Content engines built from zero, benchmark research launched, millions in pipeline influenced.
I started in magazine publishing. That start matters more now than it did for most of my career. Editorial discovery is a journalist's craft. Source development. Interviewing. Pattern recognition. The judgment to know which story is actually the story, and which one just looked like it in the first draft.
It is the skill AI cannot replicate. It is also the one B2B marketing has been quietly under-investing in for a decade.Then I spent 15 years building content engines and demand programs inside B2B SaaS and ed-tech companies, at Director and Head-of level. So I know what it is like to run this from inside, with a five person team, a board deck due, and a pipeline number attached to your name.
I am not an agency. I am not a fractional CMO. I am not a content marketer who added AI to the deck last quarter.I am a senior operator who finds what your organization already knows, and builds the system that keeps finding it after I leave.
Strong fit
Series B B2B SaaS, $5M to $15M ARR
A marketing team of 5 to 10, led by a Head of Marketing or VP
Real expertise inside the company that has not made it out
A leadership team that wants a point of view, not just more output
Series C teams building an editorial function that has to outlive any one hire
Not a fit yet
Pre-product-market-fit. There is no organizational authority problem, because there is not yet an organization.
Teams that want volume. If the brief is more posts per week, another vendor will serve you better and cost less.
Anyone looking for a custom retainer scoped from scratch. Every engagement here is productized on purpose.
I would rather tell you it is not a fit on a 30 minute call than six weeks into an engagement.
Every engagement is productized. Defined scope, defined deliverables, defined timeline, fixed price. You will know what you are getting before you sign anything.
Tier 1 · Discovery Sprint Two to three weeks of stakeholder and customer interviews, qualitative analysis, and a teardown of two quarters of your published content. You get an Authority Map naming the three to five ideas only your company can credibly own, delivered in a 90 minute live readout.
Tier 2 · Authority System Build Ten weeks. Editorial thesis, content architecture, interview protocols your team can run without me, an AI-native production workflow, and one flagship asset taken end to end.
Tier 3 · Editorial Direction Ongoing editorial leadership. Standing discovery cadence, executive voice work, quarterly research direction. Monthly, with a capped hour commitment and a three month minimum.
Discovery Sprints start at $7,500. Builds start at $30,000. Scope and price follow your stage and org size.
See how each engagement works →
A weekly letter for B2B SaaS marketing leaders on editorial discovery, organizational authority, and AI-native workflows.
Real interview protocols, real prompts, anti-pattern teardowns, and what I am learning building this in public.
Written for the Head of Marketing who has more expertise in the building than authority in the market.