Paid Media & Performance

ROI-driven search, social and display for B2B. Built to lower CPL in every market you sell into.

International PPC Google Ads Management Microsoft Ads Google Ads Audit LinkedIn Ads Facebook Ads ChatGPT Ads Retargeting

Organic Growth & SEO

Multilingual SEO, content and inbound that compound. Rank, stay ranked and convert.

International SEO Free SEO Audit SaaS SEO Inbound Marketing B2B Copywriting

Demand Generation

Top-of-funnel programs that create pipeline before the RFP. For buying committees, measured in SQLs.

B2B Demand Gen Lead Magnets B2B Lead Generation Growth Marketing

AI Marketing

Be the answer when buyers ask AI. Visibility in ChatGPT, Gemini and AI Overviews, measured and managed.

AI & LLM Visibility GEO & AEO Multilingual AI Search

WordPress Development

Fast, secure, multilingual WordPress. Engineered for Core Web Vitals, SEO and conversion.

Web Design Core Web Vitals WPML Multilingual

Industries

Marketing planned around your sector: its buyers, its compliance reviews and its sales cycle.

AI Companies Cybersecurity SaaS FinTech HealthTech IT Services & MSPs Manufacturing Legal Tech Travel Tech
AI & Machine Learning

Marketing for AI Companies Selling to the Enterprise

COSEOM® runs marketing for AI companies whose buyers have to understand the product, trust it and get it through review. We build demand for your category, run paid search and LinkedIn for pipeline, and track how ChatGPT and Google's AI answers describe you.

  • Free 30-minute call with a senior specialist
  • Campaigns planned around security, legal and governance review
  • Share of Answer tracked in ChatGPT and Google AI answers
★★★★★5.0 on Clutch "They were very easy to work with and had a pretty deep technical background." Head of Marketing · Deepfactor
2008Year COSEOM® was founded
30minStrategy call, free
1 working dayTo hear back from us
Book your free strategy call

We reply within one working day.

AI companies we work with
SEEKR Conifers AI
01 · Definition

What marketing for AI companies covers

Marketing for AI companies is the work of making a new kind of software easy to find, understand and approve. It names the problem the product solves, captures the searches that problem creates, plans a message for each member of the buying committee, and checks that AI assistants describe the product correctly when buyers ask about it.

02 · The problem

Why AI products are hard to sell to the enterprise

The word AI on its own won't set you apart. What a buyer can compare is the job your product does and the proof a reviewer can check.

"Buyers don't have a name for what we sell yet"

A category name buyers haven't learned yet may get very few searches. We start from the problem buyers already search for, in their words, and lead them from there to your category and your product.

"Deals stall in security and governance review"

Once the champion is sold, security, legal and AI governance teams may still have questions. We publish clear answers on data use, security controls and model evaluation early, so your champion has them before the review starts.

"ChatGPT describes us wrong, or names a competitor"

When a buyer asks an AI assistant which tools to shortlist, you want to be named, and described correctly. We track the questions they ask, see who gets named and which pages get cited, then improve your pages and your listings on the review sites and directories those answers cite.

03 · Services

The AI product marketing we run for you

Six channels, planned as one go-to-market program for your product. If your AI sits inside a wider software product, see our B2B SaaS marketing page, or browse every industry we work in.

Paid search on problem terms

Your category may have almost no searches yet, so we bid on the problems buyers type into Google and route them to pages that explain your approach. Run through our Google Ads management.

SEO for a category still taking shape

Category pages, comparison pages and glossary entries that define the terms before a competitor does. Part of our international SEO work.

Getting cited in AI answers

We work on making your product easy for ChatGPT, Perplexity and Google's AI answers to describe and cite, and we measure how often they name you. Covered by our GEO and AEO services.

Account-based campaigns

When your deals come from a known list of accounts, we keep ads in front of the ones sales is working, including through pilots and reviews, as part of our B2B demand generation.

Content a technical reviewer respects

Plain explanations of how the product works, what data it uses and where it can fail. No claims a data scientist would pick apart. Written by our B2B copywriting team.

04 · Review and sales cycle

Plan for the review before the deal reaches it

We plan for everyone who has a say in the deal, not only the person who wants the product. These four things shape the campaign plan from the first week.

The buying committee

We plan for a committee in which a business owner wants the result, data and ML leads test the product, security and legal review it, and procurement signs. Each of them gets a message and a channel, not only the champion.

Pilots and long sales cycles

When a deal starts as a pilot, the account can go quiet while the pilot runs. We keep campaigns running for the accounts in play and give the sales team material for the people who join the deal later.

The compliance questions

Security teams may ask for a SOC 2 report on your controls, and US federal agencies use FedRAMP, a governmentwide program for the security and risk assessment of cloud products. Governance teams may ask how you map to the voluntary NIST AI Risk Management Framework, to ISO/IEC 42001 for AI management systems, or to the EU AI Act, which entered into force in August 2024 and applies in stages.

How we plan campaigns around it

We help you publish the answers before the questionnaire arrives: a trust page, a governance page and plain answers on data handling. Ads and retargeting then reach the reviewers too. We only mention the certifications you actually hold.

05 · How we work

Our AI go-to-market strategy in three stages

Results depend on how new your category is and how long your deals take, so we don't set a date. The order of the work stays the same.

  1. 01

    Create the category

    We agree with you and sales on the problem you solve and the words buyers use for it. Then we build the pages that define it: the category page, comparisons and the trust content reviewers will ask for.

  2. 02

    Capture the demand

    Paid search on problem terms, LinkedIn for the buying committee and account-based campaigns for the named accounts. Tracking is connected to your CRM before any budget goes live, so we judge every channel on qualified pipeline.

  3. 03

    Win the AI answer

    We run the questions your buyers ask through ChatGPT, Perplexity and Google's AI answers and measure how often you are named. We call that number Share of Answer, and we work on the pages and sources behind it.

06 · Proof

AI companies we work with today

Before them, we worked with the AI compliance company Behavox and the identity-fraud detection company Deduce. On Clutch, the Head of Marketing at Deepfactor wrote: "They were very easy to work with and had a pretty deep technical background." You can find more examples in our B2B case studies.

SEEKR

SEEKR builds explainable AI for critical infrastructure. Together with their team, we run Google Ads and LinkedIn campaigns and measure how AI answers describe them.

Conifers

Conifers makes an AI platform for security operations centers. Working together with their team, we run paid media, SEO and answer engine optimization.

Conexiom

Conexiom uses AI to automate sales orders for manufacturers and distributors. We run paid media and SEO together with their marketing team.

07 · FAQ

How to market an AI product

How should an enterprise AI company market to buyers who don't know the category yet?

Start with the problem, not the category name. Meet buyers in the searches they already make about the problem, then introduce your category as the answer. Name the category the same way on every page, in every ad and in every sales deck, so buyers meet one name wherever they find you. Publish the trust content early, so it is there when buyers check it.

What goes into a go-to-market strategy for a B2B AI product?

Four parts: the problem and the buyer you start with, the words that buyer uses for the problem, the channels that reach each member of the buying committee, and the proof each of them needs. For most enterprise AI products that means paid search on problem terms, LinkedIn for the committee, account-based campaigns for named accounts, and pages that answer security and governance questions.

How do AI companies get recommended by ChatGPT?

Start by finding out which pages the assistants cite when your buyers ask about your category. Then make your own pages say plainly what the product does and for whom, and get listed and described accurately on the review sites and directories they already cite. We measure progress by running your buyers' questions through the assistants and counting how often you are named. Nobody can guarantee a recommendation.

How do you build search demand for a new AI category?

You can't buy searches that nobody makes yet. You capture the searches around the problem, then give the category name a reason to be searched: webinars, research, comparison pages and sales conversations that all use the same term. Then watch whether searches for your brand and your category name grow, and how often AI answers name you.

Should an AI startup start with LinkedIn Ads or Google Ads?

It depends on whether buyers already search for the problem. If they do, Google Ads captures that intent. If the category is too new to be searched, LinkedIn reaches the job titles in the buying committee directly. If both apply, run both, and let the budget follow cost per qualified lead once each channel has enough data.

How do you market an AI product to security and legal reviewers?

Publish the answers to their likely questions before the review starts. That means a page on how the product handles data, a page on security controls and certifications you hold, and a plain explanation of how you evaluate model output. Every claim on those pages should be one your engineers would sign off on. We never claim a certification you don't hold.

Is this the same as your AI search visibility services?

No. This page is for companies that build and sell AI products. Our AI search visibility services help any B2B company show up when buyers ask ChatGPT and other assistants, whatever it sells. AI companies get that work too, as one part of the program on this page.

Do you work with AI security companies?

Yes. Conifers, which makes an AI platform for security operations centers, is a current client, and we have worked with several security software companies before. The approach overlaps with our cybersecurity marketing work: technical content, paid search on problem terms and LinkedIn aimed at security leaders.

08 · Next step

See how buyers and AI answers find you today

On a free 30-minute call, a senior specialist talks through your category, your buyers and where you show up in search and AI answers. Want a first look on your own? Run the free AI Visibility Snapshot.

Book your free strategy call
  • How AI answers describe you when your buyers ask
  • The searches that can lead buyers to your category
  • The review questions your buyers are likely to ask
  • A first plan across search, LinkedIn and AI answers
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Tell us what you sell and who has to approve it

Share your website, your markets and who buys your product. We reply within one working day to set up your free 30-minute strategy call with a senior specialist.

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