AI development companies · Content marketing
Publish what you have learned from real builds, and buyers will read it before they call.
Content marketing for an AI development company means writing the explainers, case stories and notes that a careful buyer reads before agreeing to a first project. GullySales plans and writes that content around the use cases you have shipped.
Scope, fee, reporting and term are agreed in writing after we have read your brief and spoken to you.

What content marketing means
Content marketing is writing articles, guides and pages that answer the questions buyers search before they are ready to enquire. This makes your business visible and trusted before the first call. GullySales plans this content from the first conversation onward, choosing topics that match real search demand rather than guesses.
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Sales and marketing for AI development companies, the overview.
Last updated 18 Oct 2026.
For AI development companies
Where it usually goes wrong, and what we would do.
“General AI articles compete with everyone”
A post explaining what machine learning is will sit beside thousands like it. Buyers evaluating a vendor want something narrower: how a given kind of document was handled and what the first version got wrong.
“Failure notes build more trust than success stories”
A write-up of a proof of concept that stopped at the agreed point, and why, tells the buyer that you will not push a doomed project. That honesty is rare in this field and a careful buyer notices it.
“The IT head reads different content from the sponsor”
The sponsor wants the business problem and the cost of doing nothing. The IT head wants data location, model providers and handover. One article does not serve both, so each reader needs a piece written for them.
“Content with no next step is wasted”
A well-written article that ends without an offer leaves the reader to search again. Every piece should lead to a use-case page, a proof-of-concept description or a question sheet.
What we do
What we deliver for AI development companies.
Every deliverable, what it covers for you, and the result it is there to produce. Nothing here is an extra.
A content plan built on shipped use cases
A list of articles and stories matched to each use case you have delivered, each with the buyer it is written for.
Result: A plan showing which piece answers which buyer question.
Worked-example articles
Posts that follow one small build from sample documents to a measured result, including what failed and what a person still checks.
Result: Articles you can send to a prospect in place of a long explanation.
Confidential case stories
Write-ups by problem and industry with the client unnamed and figures left out unless approved.
Result: Stories that need no permission call before each use.
A reader guide for the IT head
A plain document on data handling, model providers and what runs inside the client's systems, reviewed by your own adviser.
Result: The question sheet exists as a page and as an attachment.
A review step for every piece
A checklist covering accuracy language, client identity and claims before anything is published.
Result: Nothing goes live with a claim you cannot back up.
How the result is measured
- Pages published
- Organic traffic
- Enquiries from content pages
Recorded as a baseline before work starts, so every later report has an honest comparison.
Who it is for
This is written for these AI development companies.
- Conversational AI and WhatsApp assistant builders
- Document reading and data extraction specialists
- Voice agents and call analysis providers
- Computer vision firms for factories, retail and security
- Recommendation and forecasting model builders
- Generative AI application developers for enterprise teams
- AI consultants who build proofs of concept for startups
- Agent and workflow automation builders
How it works
How the content marketing work runs
The work itself, in order. How an engagement starts, from your brief to a written scope, is set out on our method page.
- 1
Confirm the plan
Topics and formats for the coming month are confirmed against the content strategy.
- 2
Produce and review
Content is written or filmed, then reviewed by someone who knows your trade before it goes out.
- 3
Publish and distribute
Finished content is published to the site and pushed through the channels your buyers actually use.
- 4
Track enquiries
Enquiries are traced back to content where a direct line exists, and reported honestly where it does not.
- 5
Report and adjust
We report results and adjust the next topics based on what actually worked.
Where this fits
Three pieces of sales work, in this order.
This work sits inside sales process design, at stage 0, foundation. The audit comes before it, and sales management keeps it running.
Step 1
Sales audit
Find where deals are being lost and what to fix first.
Start here if you cannot say where orders are lost.
Step 2 · you are here
Sales process design
One written way to sell, from first enquiry to repeat order.
Start here if every salesperson sells differently.
Step 3
Sales management
A target, a review routine and someone who owns the number.
Start here if the team has targets and no routine.
FAQ
Questions owners ask before they call.
Not here? More answers, or ask on WhatsApp.
How long should the list of articles be?
Can we use AI to write our content?
Should we publish our accuracy figures?
How much does it cost?
How long is the contract?
Who will actually do the work?
What do you need from us?
What if we are not happy with the work?
More for AI development companies
Everything else we would do for you.
Closest to this: content and social
Also for AI development companies
Or start from the overview: sales and marketing for AI development companies.
Your next practical step
Tell us what you are trying to grow, and we will read it before we call.
Eight short steps, mostly taps. Skip anything you would rather answer on the call.