B2B SaaS Content Marketing Agency
Content built to convert and to be quoted.
Hand-researched briefs, SME interviews with your product team, senior editing on every piece. Pages that book demos in Google and get cited in AI answers. No content mill, no junior writers.
SEO & AI search attributed pipeline · CRM-verified
.png)
.png)
.png)
.png)
.png)
Why they come to us
Why B2B SaaS marketing leaders call:
Nobody books this call because they want more words. They book it because the content they have isn't working, and they can't tell you why.
"We publish constantly and nothing happens."
Volume without a map. Pages that never earned a link, never got cited, and never had a job in the funnel. Three years of archive, no compounding asset.
"The writing doesn't sound like us."
Generic, researched-from-other-blog-posts copy that a product expert can spot in one paragraph. Buyers can spot it too, and so can the models.
"Our content never gets cited."
It ranks, sometimes. But when a buyer asks an AI assistant, your pages aren't what gets quoted. Unstructured, unsourced, and unquotable.
Inside the engine
Everything that goes into a page.
Six stages between a keyword and a published asset. Nothing skips senior review.
01 · Topic strategy
Every topic gets the kill test: if we win it, does a demo follow? Mapped to funnel stage, buying committee seat, and the prompts your buyers actually type.
02 · Hand-researched briefs
Not an AI outline. Real SERP and AI-answer analysis, the questions buyers ask, the claims that need sourcing, and the angle nobody in your category has taken.
03 · SME interviews
Thirty minutes with your product, sales, or clinical people, turned into the specifics no competitor can copy. This is what makes content sound like you.
04 · Writing and senior edit
B2B SaaS writers who understand the category, then a senior editor on every piece. Structured the way models quote: direct claims, comparisons, evidence.
05 · Money pages
Comparison pages, alternatives, integrations, use cases, and industry pages. The pages buyers land on when they already know they have the problem.
06 · Refresh and decay recovery
Published isn't done. We track decay, re-run the pages losing ground, and update the ones the models stopped citing.
Proof · From the weekly reports
Real client results.
AI search became a demand channel in one quarter
Organic sessions, AI referrals, category presence and attributed demand all moved together one quarter after launch.
Four months in, running ahead of forecasted demos
Nearly half the demo pipeline was filed as Direct. The Two-Witness Rule recovered it, and the page program kept feeding it.
AI search and organic became the growth engine
A page set that did not exist twelve months ago now carries the growth and is the most-cited name in the category’s AI answers.
The process · From question to cited page
Every piece earns its slot.
Four stations, running every week. Each one ends with something you can read: a brief, a recording, a draft, a citation. If a topic can't book a demo, it doesn't get written.
Kill the topics that cannot convert
Most content calendars are volume lists. We run every candidate topic through one question: after the AI answers it, does the reader still need to talk to a vendor? Only those survive into production.
The topic kill test · Worth writing?
Research the brief, interview your SME
Every brief is hand-researched against the live SERP and the AI answers, then we record 30 minutes with someone on your product or CS team. That interview is where the claim nobody else can make comes from.
Brief 018 · Comparison page
H1 · [Your product] vs [competitor 1]
H2 · Where each one actually wins
Publish, then earn the citation
Draft, senior edit, your review, publish. Then the part most content teams skip: structure and entity work so the engines can quote the piece, and tracking to confirm they do.
Sources quoted in the answer · Run 2
Refresh what decays, report what converts
Content is the only asset that quietly loses value while you own it. We track decay by piece, refresh on a schedule, and report demos sourced from content, reconciled by the Two-Witness Rule.
Demos sourced from content · By week
ROI · Forecast first, held to it
Three scenarios, before the first brief.
Every engagement opens with a 12-month content forecast built on your funnel data. We set demo goals against publishing cadence, then report vs. forecast every month.
One lever separates the three: the share of buying-intent search your library captures. Everything else is your actuals, held flat: visit-to-demo rate, close rate, ACV. If the model can't clear a 4× return, we tell you before you spend a dollar.
12-month forecast · Realistic · 20% capture
The other side of the model
The answers get written without you.
Content is a land grab, and the land is the answer to a buying question. Pick your average contract value and see what one quarter of silence costs, at 20% capture, 22% close.
Pipeline that goes to someone else
Close rate held at 22%, capture at the realistic 20% scenario, applied to the ACV you picked. On the call we rebuild all three on your actuals, and if the model doesn't clear a 4× return we tell you that instead of selling you.
This is not a delay. It is a transfer. Three things compound against you in the exact window you spend deciding what to publish.
Publishing later does not mean ranking later by the same margin. The pages that answer a buying question get cited for years, and the second correct answer is worth a fraction of the first.
The full scope
Everything in scope.
The full content operation. See something missing? Bring it to the plan.
Pricing
Every price is public.
GEO runs inside every engagement. You'll know if we fit the budget before we ever talk.
Strategy & Consulting
You execute · We run the strategy brain
Best for: teams with in-house execution. We run SEO + GEO strategy and senior QA on top.
See Full PricingDone-for-You
The full engine · End to end
Best for: teams that want it all handled: strategy through execution, one invoice. Most engagements land at $10K+.
See Full PricingAuthority
Market domination · Max velocity
Best for: an aggressive run at the whole category: double the content and link velocity, monthly founder calls and QBRs.
See Full PricingThe honest comparison
Four ways to make content. Three stall.
AI writing tools
$99/mo, unlimited drafts
- ✕Reads like every other AI feed, because it is
- ✕No SME input, so no claim your product team would defend
- ✕Nothing original to cite, so models do not cite it
- ~Ships fast, and decays faster
Stalls: nothing a buyer would cite
Content mills
$0.10 a word, 50 writers
- ✕Writers who learned your category this morning
- ✕No editing layer, so quality tracks whoever picked it up
- ~Hits the word count and misses the buyer
- ✕No strategy tying a piece to a stage or a number
Stalls: volume with no point of view
One in-house writer
$70K and a queue
- ✓Learns the product deeply and writes in your voice
- ✓Sits in the room for the roadmap and the launches
- ~One person cannot brief, interview, write, edit, and refresh
- ~The good ones leave inside a year when they own all five
Works, until they burn out
Rock the Rankings
Briefs + SMEs + senior editing
- ✓Hand-researched briefs, not a keyword and a word count
- ✓SME interviews with your product team on every piece
- ✓Senior editing and QA before anything publishes
- ✓Refresh cadence, so the library stops decaying
Built to convert and to be quoted
Fit · Before you fill anything in
Who this works for, and who it doesn't.
We say no often, and early. Reading this saves us both a call.
A fit
- B2B SaaS, Series A to Series D$2M to $50M ARR, subscription or usage-based, sales-led or self-serve plus sales-assist.
- A category with a real competitor setVertical or category-defining: healthtech, fintech infrastructure, compliance, HR tech, legal tech, specialty lending.
- Marketing leadership in placeA CMO, VP Marketing, or Head of Growth who owns the number, usually with one under-resourced content or SEO person.
- Organic is underperforming the investmentNon-branded traffic is thin for your stage, competitors hold the category terms, and the AI answers don't name you.
- You can ship changesModern CMS and a willingness to make technical and on-page edits.
- Pipeline is the measureBudget $5,000+ for strategy, $7,500-$15,000+ for the full engine, and demos are how we're both graded.
Also a fit: bootstrapped SaaS at $2M-$10M with founder-led marketing, or a growth-stage team rebuilding a stalled program.
Not a fit
- Pre-seed or pre-PMFNo audience, no category clarity, and no runway for a compounding channel.
- B2C apps, DTC ecommerce, or local servicesDifferent playbook, different channels. Not our specialty and not our pricing model.
- Enterprise consultingThose cycles are relationship-driven, not search-driven.
- You want content volume without strategyWrong expectation. We decline these even when the budget is there.
- You can't make on-page or technical changesThe methodology doesn't work without them.
- Traffic is the KPIWe align on pipeline, or we don't work together.
- Not willing to let us driveIf every decision needs a committee and a month, the program stalls. You approve the strategy, we run it.
- Under $5K a monthNot enough investment to make the channel compound. You'd be paying for activity, not an outcome.
If that's you, we'll say so on the first call and point you somewhere better. No sequence, no follow-up.
Straight answers
Asked on every content call.
If yours isn't here, bring it to the plan. Same unpolished answer either way.
AI is in the research and analysis, never in the draft you publish. Every piece is written by a B2B SaaS writer, informed by an interview with your team, and edited by a senior editor. The models can spot generic content, and so can your buyers.
It depends on the engagement, and volume is never the goal. A typical Done-for-You program ships four to eight substantial pieces a month plus refreshes. We would rather ship four pages that get cited than twelve that don't.
That's the whole reason for the SME interview. Thirty minutes with your product or engineering lead produces the specifics no competitor can copy. Keragon, a healthcare automation platform, is the public reference.
Yes. Strategy & Consulting at $5,000 a month covers the topic map, the briefs, and senior QA on what your team produces. You keep execution, we run the brain.
You review everything before it publishes, and revisions are included. If a piece misses, we rewrite it. That has more to do with the brief than the writer, so the brief is where we spend the time.
Before you close the tab
The three reasons people don't book.
Every one of these gets said on a content call. Here are the answers we give, in writing, before you spend 27 minutes on it.
Objection 01
"We tried an agency and got generic content."
That is the default outcome when briefs are keyword lists and writers never speak to your product team. The piece reads like a summary of page one, because that is what it was built from.
Our briefs are hand-researched and every piece includes an SME interview with someone on your side. That is the whole difference between content that summarizes the category and content that has something to say about it.
Objection 02
"Our team can write this themselves."
Usually they can, and usually they are the bottleneck rather than the problem. Briefing, interviewing, writing, editing, and refreshing is five jobs, and most teams have one person holding all of them.
We take the four that are not writing. If your team wants to keep the pen, we brief and edit and they publish. Plenty of clients run it that way.
Objection 03
"Can't AI write it for free?"
It can produce something shaped like the article. What it cannot produce is a claim your product team would defend, a number nobody else has, or a point of view worth citing.
That matters more now, not less. AI answers cite sources, and a model has no reason to cite a page that is a restatement of what it already knows.
Next step
Your GEO plan, built on your numbers.
Give us your domain and your pipeline goal. We map the prompts your buyers are asking, build your GEO marketing plan against them, and forecast the pipeline the next 90 days can realistically produce.
What we walk through