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Machine learning companies · Search engine optimisation

Rank for the forecast a buyer needs, not for the technique behind it.

SEO for a machine learning company means being found when a planner or risk head searches for the prediction they need. GullySales works on page structure, problem phrasing and the proof that makes a cautious technical reader stay.

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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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What search engine optimisation means

Search engine optimisation (SEO) is the work of getting your website to appear when a buyer searches Google for what you sell. GullySales builds pages around real search terms, fixes technical issues that block ranking, and tracks which searches actually bring enquiries.

Also for machine learning companies

Sales and marketing for machine learning companies, the overview.

Last updated 18 Oct 2026.

For machine learning companies

Where it usually goes wrong, and what we would do.

  • “Technique words attract the wrong reader”

    Pages about gradient boosting or deep learning draw students and engineers. The finance head with a stock problem searches for demand forecasting for a distributor. Writing for the first reader leaves the second without a result.

  • “A single services page cannot rank for six problems”

    Churn, credit risk, maintenance and pricing are different searches by different buyers. One page that lists them all matches none of them well. Each problem needs its own page with its own wording.

  • “Technical buyers read the proof before the pitch”

    A head of data checks how error was measured, what data was used and what went wrong. A page with a described test earns a longer stay than one with a bold claim and no method.

  • “Industry words decide whether a page is found”

    Demand planning in textile uses different terms from collections in an NBFC. Search phrasing follows the buyer's trade, so pages that borrow that vocabulary meet the buyer where they type.

What we do

What we deliver for machine learning companies.

Every deliverable, what it covers for you, and the result it is there to produce. Nothing here is an extra.

  1. A search map by prediction problem

    A list of the phrases planners, risk heads and growth teams use for each problem, grouped to one page each.

    Result: A clear page-per-problem plan you can read and approve.

  2. Problem pages with a method note

    Each page explains input data, output and how error is measured, in words the buyer's team would use.

    Result: Pages a technical reader can check line by line.

  3. Page titles and descriptions rewritten

    Titles that name the problem and the trade, replacing general phrases such as insights and intelligence.

    Result: Search results that describe the work accurately.

  4. Internal links between related problems

    Links from a forecasting page to stock, pricing and promotion pages, and back.

    Result: A reader moves between neighbouring problems without returning to search.

  5. A technical-health review of the site

    A check of speed, mobile display, indexing and broken links, with fixes listed in order of importance.

    Result: A written list of faults with the page each one affects.

How the result is measured

  • Ranking positions
  • Organic traffic
  • Enquiries from organic search

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

Read the full search engine optimisation page

Who it is for

This is written for these machine learning companies.

  • Demand and inventory forecasting specialists
  • Credit scoring and collections modelling firms for lenders and NBFCs
  • Churn and customer lifetime value modelling for subscription businesses
  • Predictive maintenance and quality prediction for plants
  • Pricing and promotion optimisation for retail and FMCG
  • Fraud and anomaly detection for payments and insurance
  • Time series and sensor data specialists
  • MLOps and model monitoring providers

How it works

How the search engine optimisation 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

    Audit and baseline

    We record where the site stands today: positions, traffic, technical faults and the enquiries search currently produces. Nothing starts until this number is written down.

  2. 2

    Decide what to rank for

    We map the searches your buyers use, in your words and theirs, and pick the ones worth the effort for your margin and your capacity.

  3. 3

    Fix the foundations

    Technical faults first, because the cheapest gains are usually there. Then the Business Profile and directory consistency.

  4. 4

    Build the pages

    A page for each thing you do, written to answer the question it is searched for, with a clear next step at the end.

  5. 5

    Publish and earn mentions

    Content goes out on the calendar. Links and mentions are earned from real relationships, not bought.

  6. 6

    Measure, report, adjust

    At the interval agreed at the start we report what moved and what did not, and change the plan when the numbers say so.

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
Can you promise us a first-page ranking?
No. Rankings depend on competition and on the search engine, and nobody can promise them. GullySales builds pages that deserve to be found and shows you which searches bring visits and enquiries.
Should we write about our algorithms?
Write about them where a buyer needs to judge your method, as part of a problem page. A separate article on technique attracts readers who will never buy.
How do we keep client names off the pages?
Describe the problem and the sector instead. An anonymised write-up of a stock forecast for an auto-component maker is still useful to the next buyer, and it breaks no confidence.
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.
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 machine learning companies

Everything else we would do for you.

Closest to this: search and visibility

Also for machine learning companies

Or start from the overview: sales and marketing for machine learning companies.

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