Get a reality check on the AI marketing market

AI marketing is hot right now, and the biggest marketing software companies are paying to get ahead.

We've found a lot of interesting signals. For example, Adobe completed its $1.9B purchase of Semrush in April 2026, to help brands stay visible in AI answer engines as well as in classic search. And in March 2026, Hightouch, whose AI agents build audiences, create content and run campaigns for brands like Domino's and PetSmart, raised $150M at a $2.75B valuation. Marketers are no longer just testing AI for copy. They're paying for tools that decide where, when and how a brand shows up.

In this section, we look at why brands are handing more of their marketing to AI now, which jobs go first, and what these big deals mean for the startups around them.

Marketing teams are asked to produce more content for more channels, with the same or smaller budgets.

We compare six types of companies, from content and creative tools to campaign agents, ad optimization, AI search visibility and email personalization. Their buyers range from small online shops to global brands and agencies. For each, we rank the biggest pains, like slow content production, rising ad costs, falling search traffic and customer data spread across too many tools.

This shows which marketing jobs companies will pay AI to take over first, and which ones they still want people to own.

Seat licenses, usage credits, pricing by number of contacts, a share of ad spend and enterprise platform deals: AI marketing companies charge in many ways.

We look at who pays, and what it costs to serve them. A content tool sold per seat is easy to buy, but cheaper models keep pushing its price down. A platform paid on ad spend or on contacts grows with the customer, but has to show results every month. And tools built on top of the big AI apps or ad platforms can lose their edge when those platforms add the same feature.

You'll see which models still make money when the ad giants give AI tools away for free, and which ones customers keep paying for.

Behind every growth forecast there are a few real forces. This section shows which ones move AI marketing.

Some drivers are plain to see: cheaper and better models, pressure on marketing budgets, and more channels to feed every week. Others build on each other. Every campaign an AI runs gives it data to improve the next one. Brands that move into AI search push their rivals to follow. And once a team trusts AI with one channel, it tends to hand over the next.

Before building or investing, you should know what convinces a marketing team to let AI run real campaigns, and what proof keeps the budget coming.

Jasper made AI copywriting famous, and Profound became the name to know in AI search visibility, but together they cover only a small part of the market.

Many interesting players stay out of the spotlight. Some only write product descriptions for online stores. Others test thousands of ad variations for one brand, rewrite emails for each customer, or help hotels and banks show up in AI answers.

They're hard to compare because a marketing result has many parents. When sales go up, the AI tool, the season, the offer and the ad budget can all claim the credit. And many tools are sold through agencies, so the brand never sees their name.

Below, you'll find the market grids and ecosystem maps we've built to show which marketing job each company does, and where newcomers are getting in.

Smartly, Movable Ink, Persado… a few AI marketing companies have become part of how big brands run their campaigns.

Their routes differ. Smartly automates ad creation and buying for large advertisers on social and video channels. Movable Ink personalizes emails and app messages for each customer. Persado writes and tests the words in marketing messages for large consumer brands. Each started with one channel and one result marketers could measure, though none has shown yet that AI can run a brand's whole marketing.

We'll look at how these teams tied their tools to a number marketers already track, and kept their place as the ad platforms built more AI of their own.