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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.

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Scope, fee, reporting and term are agreed in writing after we have read your brief and spoken to you.

Realistic editorial illustration of software development companies at work in India

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.

Also for AI development companies

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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

Read the full content marketing page

Posts and pieces to plan

Write from what shipped, including what broke.

Reading invoices that arrive as phone photos
A worked-example article with before and after samples and the cases a person still checks. Proof is the sample itself.
Why our first assistant answered wrongly
A failure note: what went wrong, how it was found, what changed. It carries more trust than a success story.
Questions to ask before buying an AI build
A checklist for the sponsor with data, review and handover questions. It sets you apart from vendors who avoid them.
What your IT head should ask an AI vendor
A reader guide on storage, access and deletion, written for the person who can stop the project.
Proof of concept versus production system
An explainer on what changes between the two, so the buyer budgets for the second stage before the first ends.

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

Not for

It is not the right fit if.

  • You have shipped no use case you can describe in the open, so articles would repeat general AI commentary everyone else publishes.
  • No engineer has time to review each piece for accuracy, and a wrong technical claim costs more trust than silence.
  • You plan to publish accuracy figures without seeing the buyer's own data, which no honest article can do.

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. 1

    Agree the plan

    Topics and formats come from the content strategy and the buyer-question list. The volume goes into the written scope, agreed with you, not into a number quoted on a call.

  2. 2

    Brief and draft

    Each piece starts from its one-page brief and a short conversation with your technical person, recorded if they allow it, so the draft uses their words.

  3. 3

    Check the facts

    Your person marks the draft for accuracy and we correct it. Regulated subjects also go to your own adviser, because restrictions on claims apply to articles as much as to advertisements.

  4. 4

    Publish and distribute

    The piece goes live on your site, then out through the channels where your buyers already are.

  5. 5

    Read the enquiries and adjust

    Results are reported against the baseline recorded before work began. Topics that brought readers but no enquiries are changed or dropped. How often you are reported to is agreed in writing.

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.

  1. 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.

  2. 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.

  3. 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.

Tell us what you need Your brief is read before we call. Scope, fee and term in writing.

FAQ

Questions owners ask before they call.

Not here? More answers, or ask on WhatsApp.

Tell us what you need
How long should the list of articles be?
Shorter than you expect. A handful of strong pieces tied to real builds does more than a long list of general posts. GullySales plans around what your team can write and approve.
Can we use AI to write our content?
You may, but a piece about your own builds needs your own facts. Tools draft; someone who did the work must check every statement before it is published.
Should we publish our accuracy figures?
Only if you can show how they were measured and on whose data. Otherwise describe the conditions and the review steps. A figure without its context invites the very question you cannot answer.
Can a confidential project still become an article?
Yes, as an anonymised story about the task, the data and the lesson, with no client, figures or screens that identify them. Ask the client to approve the draft in writing. The lesson is what the reader needs, not the name.
How much does it cost?
There is no price list, because the work differs by business. The fee is scoped after we have read your brief and spoken to you, and put in writing before anything starts, split into our time, your media spend and production.
How long is the contract?
The term is agreed in writing after we have spoken, along with the fee and the reporting. It is never a default twelve months, and renewal is decided on the numbers against the baseline recorded at the start.
Who will actually do the work?
The person you speak to before anything starts. We work from one office in Nagarbhavi, Bengaluru, with no account managers in between.
What do you need from us?
Your brief, and a conversation. After that, access to whatever this work touches, such as your website, your accounts or your enquiry record, and time with the people who handle your enquiries.
What if we are not happy with the work?
Tell us and the plan changes. Everything is reported against the baseline, so a number that is not moving is visible to both sides. The term is in your written scope, and the refund and cancellation policy sets out the rest.

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.

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