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AI development companies · Lead generation

Bring in enquiries from buyers who already have one task they want automated.

Lead generation for an AI development company means reaching the operations head, founder or support lead who has a named backlog and a budget to clear it. GullySales works on the use-case pages, the outreach and the partner contacts that put that buyer in front of you.

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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 lead generation means

Lead generation is the combined work of every channel that brings in a new enquiry, whether from search, adverts, referrals or a stall at an exhibition. GullySales runs these channels together and reports the number of enquiries each one produced, not the activity behind it.

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.

  • “A backlog is a better opening than a model”

    The buyer lives with a pile of invoices, a queue of repeated questions or a stack of call recordings. A message that names that pile gets read. A message that names a model or a framework reads like every other vendor in the inbox.

  • “The wrong enquiry costs a founder days”

    A visitor who wants a sentient assistant for free, or a demo built before any scoping, takes a call and gives nothing back. Pages that state what you build, and what you decline to build, filter those visitors before they reach your calendar.

  • “Software houses hold enquiries they cannot serve”

    ERP partners, web agencies and BPO firms receive AI requests that sit outside their skills. Without a clear note saying which requests suit you, those enquiries go to whichever firm they met last.

  • “A lead is only worth chasing with sample data in sight”

    An enquiry that cannot share even a handful of real documents or recordings is hard to scope. Asking for the sample early separates a serious buyer from a curious one, without sounding like a gatekeeper.

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. Lead sources mapped to use cases

    A one-page map of where each kind of enquiry comes from, such as search, a partner, a talk or a direct message, and which use case it was about.

    Result: You can see which use case brings serious buyers, and which brings only curiosity.

  2. A qualifying question set

    Five or six plain questions asked on the first call: the task, the volume, the sample data, who approves the data handling and who holds the budget.

    Result: Every first call ends with a clear decision on whether to scope a proof of concept.

  3. Outreach drafts built on backlogs

    Short messages for insurance brokers, logistics firms, finance back offices and support heads, each opening with the backlog that recipient already knows.

    Result: Drafts you can send after changing only the name and the backlog.

  4. A partner note

    A single page for software houses and consultants listing the requests you take, the ones you pass on and what they should send you first.

    Result: A note a partner can forward without explaining your work.

  5. An enquiry form with a sample-data field

    A short form that asks for the task and offers a safe way to describe the data without sending it.

    Result: Each enquiry arrives with the task stated in the buyer's own words.

How the result is measured

  • Enquiries generated
  • Cost per enquiry
  • Enquiries by source

Recorded as a baseline before work starts, so every later report has an honest comparison.

Read the full demand and lead generation page

What to capture or send

Capture the task before you capture the contact.

An AI enquiry is worth a call only when the task and some sample data are on the table.

The task in the buyer's words
Ask for it in one line: reading invoices, answering support chats, sorting call recordings. It tells you at once whether the work suits your team.
Sample data on offer
Record whether the buyer can share five real documents or recordings, or only describe them. An enquiry with no sample is hard to scope.
Who approves data handling
Note the IT head or lawyer who will ask where information goes. Meeting that person late is how a promising enquiry stalls.
How the enquiry arrived
Search, partner, talk or direct message, plus the use case it was about. This shows which route brings buyers with real backlogs.
First message to send back
A short note naming the task back to them and asking for the sample. It shows you listened and filters out those who only want a free demo.

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 no short written scope for what you build, so every enquiry would turn into a long call to explain it.
  • Nobody on the team can look at a buyer's sample documents within a working day, so serious enquiries would go cold waiting.
  • You are still deciding which use case to specialise in, and outreach would describe work you may not want.

How it works

How the lead generation 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

    Understand your capacity

    We ask how many enquiries your team can answer well, who answers after hours, and what a good enquiry looks like. Without this, the system fills a funnel nobody is watching.

  2. 2

    Audit current sources

    We read your call log, WhatsApp chats, enquiry sheet and platform dashboards. The baseline is recorded: enquiries by source, reply time, conversion and cost per order.

  3. 3

    Strategise the channel mix

    Search and maps are chosen for people ready to buy, ads for people who are not yet looking, and content and referrals for trust.

  4. 4

    Implement capture and follow-up

    Pages, forms, tags, the lead record and the first-reply message are built and tested end to end. We submit test enquiries ourselves before any media money is spent.

  5. 5

    Measure and optimise

    Enquiries are traced to source and judged by what became orders, not by volume alone. Channels that fill the sheet with poor enquiries are cut back. 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 1, prospecting and lead generation. 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
Should we chase every AI enquiry that arrives?
No. Chase the ones with a named task and some sample data. An enquiry that only says it wants AI for the business is better answered with a short question about the task before any call is booked.
Where do the best leads for an AI firm come from?
From specific use-case searches, from partners who pass on requests, and from talks that show one small build. GullySales looks at your own enquiry history first and does not assume a channel will work.
Do cold messages work for a technical service?
They work when the message names a backlog the recipient already has. They fail when they describe your technology. GullySales drafts the first kind and leaves the volume and sending to you.
How do we stop software houses sending us work we cannot do?
Give them a one-page note listing the requests you take and the ones you pass on. A partner forwards it without explaining anything, and it shows what to send first, so unsuitable requests stop reaching your inbox.
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.
How soon will we see results?
It depends on the trade, the channel and what is already in place. After we have read your brief and spoken to you, we say what we would expect to move first and how it will be measured against the baseline. Nothing here is guaranteed.
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.

More for AI development companies

Everything else we would do for you.

Closest to this: leads and follow-up

Also for AI development companies

Or start from the overview: sales and marketing for AI development companies.

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