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GullySales
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AI startups · Other

Show buyers what your AI does on their data, then follow up until they decide.

A founder shows a document-reading agent to the finance head of a mid-sized distributor. The demo runs on sample invoices and goes well. Then the head asks where the data is stored, who else has seen it, and what happens when it reads a handwritten invoice wrong. The founder has no short answer on paper, and the call ends with let us think about it.

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

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In one paragraph

AI startup marketing explains in plain words what an AI product does, for whom, and where it should not be used. AI startup sales moves a buyer from an impressive demo to a paid rollout. GullySales builds the use-case pages, proof and follow-up that a buyer needs before trusting a new AI vendor.

A buyer who has sat through a demo that never reached production will test yours harder. A startup that can show a narrow job done on the buyer's own sample, with the failure cases stated, stands out from general claims.

Last updated 18 Oct 2026.

How buyers decide

How AI startups are chosen.

Buyers shortlist AI vendors by use case, not by technology. A sales head looks for lead scoring, a support head for ticket handling, a CA firm for document extraction. They search the job, ask peers on LinkedIn and WhatsApp groups, and ask the existing software vendor whether it already does this.

The decision then turns on trust. Where the data goes, whether it trains anyone's model, who is liable for a wrong answer and what a trial costs are asked in the second meeting. Startups that answer these on a page, before being asked, move faster than those who answer by email.

Price is the last thing to settle, and the one the buyer has no benchmark for. Seat, usage and outcome pricing all confuse a buyer, so a clear pilot offer with a stated scope decides more orders than a discount.

The problem

What usually goes wrong for AI startups.

What owners tell us on the first call, in their words.

  • “Everyone says they have an AI product”

    Buyers cannot tell us from a rival who added a chatbot last month, so every first call opens with doubt.

  • “Our demo is impressive but nothing is signed”

    The demo shows a best case. The buyer's team has no way to test it on their own files, so the decision drifts.

  • “Security questions arrive late and stall the deal”

    Data storage, retention and model training questions come from the buyer's IT head in week three and nobody had written the answers.

  • “We sell a platform, buyers want one job done”

    Our site lists capabilities. A buyer searching for invoice matching or lead scoring does not see themselves in it.

  • “Pilots start and then fade”

    Nobody on the buyer's side owns the pilot, so usage drops, and we cannot show a result at the review.

  • “Pricing changes every call”

    Each buyer is quoted differently because we have not settled what a pilot, a seat and a rollout each cost.

What we do

What we do for AI startups.

Everything included for AI startups.

  1. A page for each job the AI does

    One page per use case, such as reconciling purchase invoices or answering first-level customer queries, with a sample input, the output, and where a human still checks.

  2. A trust page buyers can forward

    A short page on data location, retention, access, whether customer data trains any model, and who to ask about it. It states only what is true for your product today.

  3. A sample-file demo routine

    A repeatable way to run the demo on a prospect's own anonymised files, with a note of what it got wrong and why.

  4. A pilot brief

    A one-page document with scope, who owns it on both sides, the measure of success and what happens next if it works.

  5. Pricing and packaging sheet

    A fixed pilot offer and a clear rollout structure, settled with you before it is shown to any buyer.

  6. Visibility in search and AI assistants

    Pages written so that a person or an assistant asked for the best tool for this job finds a plain definition and a clear answer about your product.

How the result is measured

  • Enquiries by use case and source
  • Demos booked from enquiries
  • Pilots started and pilots converted
  • Security questions answered before the second meeting
  • Deals stalled, with the stated reason

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

Every service, written for AI startups

Each has its own page: what it involves for AI startups, what you get, and what it is measured on.

Worth a page and a campaign of their own

Use-case pages by job and by industry · Demos on the buyer's own sample files · Data security and privacy answers · Pilot scope, success measure and owner · Pricing and packaging for pilots · Honest limits and failure cases · Founder-led sales and referrals · Integration with the buyer's existing software · Search and AI assistant visibility

Priority campaigns

Campaigns for what AI startups most want to sell.

Each one planned around when your buyers decide, and measured against the baseline.

  • Use-case search campaign

    Google Ads and landing pages for the jobs buyers type, such as automate invoice entry or lead scoring for sales teams, each linked to a sample-file demo request.

  • Founder LinkedIn campaign

    A short run of posts and direct messages from the founder about one narrow problem and one real failure case, aimed at the function heads who own it.

  • Industry community campaign

    Presence in the WhatsApp groups, associations and meetups of one industry, such as CA firms or diagnostic labs, with a useful sample for members.

  • Pilot-to-rollout campaign

    A follow-up plan for every running pilot: usage notes, a review date fixed in the pilot brief and a rollout proposal drafted before that review.

  • Existing-software partner campaign

    Outreach to implementers and resellers of the ERP, CRM or accounting tools your buyers already use, with an integration note.

Beyond search

Where we reach buyers of AI startups, beyond Google.

Search matters, but it is rarely the only way this industry's buyers find a supplier.

  • Implementation partners of ERP, CRM and accounting software

    A list of the firms that already configure Tally, Zoho, Salesforce or SAP for your buyers, and a short integration note for each kind.

  • Industry associations and professional bodies

    A talk or worked example for the CA chapter, bar association, clinic group or manufacturers' body where your use case fits the daily paperwork.

  • Startup communities and accelerators

    Introductions to the founder groups and accelerator cohorts where a start-up's own operations team could be your first pilot.

  • Function heads on LinkedIn

    Research into the operations, finance and support heads in your chosen industry, and a message for each built on one problem.

  • System integrators and consultants

    A partner brief for the consultancies that run digital programmes inside large companies, saying which job you take off their plate.

Who it is for

This is written for these AI startups.

  • Agent and workflow automation startups for operations teams
  • Document processing and data extraction startups
  • Sales, marketing and customer support AI tool makers
  • Vertical AI startups for clinics, schools, legal or finance firms
  • Vernacular speech and language model startups
  • Computer vision startups for inspection, retail and security
  • AI consulting and implementation boutiques
  • Developer tool and model infrastructure startups

Not for

It is not the right fit if.

  • You want a guaranteed Google ranking or a guaranteed number of leads. Nobody honest can promise either.
  • You need enquiries by next week and have nobody to answer them.
  • You want posts and reach reported, not enquiries and orders.

How it works

How the work runs for AI startups

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

    Pick the one job and its failures

    We ask which one job you do best and for whom, and write down where it fails.

  2. 2

    Write the answers

    Use-case pages, the trust page and the pricing sheet, agreed with you line by line.

  3. 3

    Prepare the demo and pilot

    A sample-file demo routine and a one-page pilot brief.

  4. 4

    Reach the buyers

    Search, LinkedIn, communities and partner introductions aimed at the function that owns the job.

  5. 5

    Track every pilot

    Each pilot is recorded with an owner, a review date from the pilot brief and an outcome, so you can see where deals stall.

Where this fits

Three pieces of sales work, in this order.

GullySales builds every engagement from three pieces of sales work. This page is not one of them, but the same three steps apply to the business behind it.

  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

    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 AI startups ask before they call.

Not here? More answers, or ask on WhatsApp.

Tell us what you need
Can you write about what our AI can do without overclaiming?
We describe the narrow job, show a sample and state the limits. Accuracy figures go on a page only when you can show the test behind them.
Is it better to sell a platform or one use case?
Start with one use case. Buyers search for a job, and a first win on one job opens the wider conversation.
Do you build AI products?
No. GullySales does the marketing and sales around your product. If you want sales automation inside your own team, that is a separate conversation.
How do we handle buyers who are afraid of data leaks?
Answer on paper, early. A short trust page with true statements about storage and training, plus a named person to ask, answers the questions before the IT head has to ask them.
Do you help with investor traction?
We keep clean records of enquiries, pilots and orders that you can use in your own investor material. We do not give fundraising advice.
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?
Fixes to reply time, follow-up and your Google Business Profile are the quickest to show, because the enquiries already exist. Ads can follow soon after follow-up is in place. SEO and content take longer. How long each takes depends on your business, and we tell you which applies to you after we have spoken. 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?
To start, last month's enquiries in any format and time with whoever handles them. After that, access to the accounts the work touches, such as the website, Google Business Profile or CRM.

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