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

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.
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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.
“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.
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.
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.
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.
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.
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.
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 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
Understand your capacity
We agree how many enquiries your sales team can actually handle well, so the system is not built to overwhelm it.
- 2
Audit current sources
We check what already brings in enquiries today, even informally, before adding anything new.
- 3
Strategise the channel mix
Content, search and paid channels are chosen based on where your buyers already look.
- 4
Implement capture and follow-up
Pages, forms and a follow-up process are built and connected end to end.
- 5
Measure and optimise
We track enquiry volume and quality and adjust the channel mix to match.
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.
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.
Should we chase every AI enquiry that arrives?
Where do the best leads for an AI firm come from?
Do cold messages work for a technical service?
How much does it cost?
How long is the contract?
How soon will we see results?
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: 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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