Adobe paid $1.87B for Semrush and GEO got a price tag
Ricardo Argüello, September 16, 2026
CEO & Founder
General summary
Adobe closed its Semrush acquisition on April 28, 2026 for $1.87 billion in cash, two months after Profound raised $96 million at a $1 billion valuation. Generative engine optimization went from an unnamed experiment to a budget line in under half a year.
- Announced November 19, 2025 at $12.00 per share, closed April 28, 2026 for $1.87 billion in cash
- Semrush brought $480 million in annual recurring revenue into Adobe's Digital Experience business
- Adobe now sells SEO, GEO and ASO, the last being agentic search optimization
- Profound raised a $96 million Series C led by Lightspeed on February 24, 2026 at a $1 billion valuation
- Adobe measured AI-referred traffic to US retail sites up 269% year over year in March 2026, from a small base
For twenty years your shop had one door onto a street with a traffic light everybody knew how to read. Now there is a second door opening onto a corridor where someone else decides who gets recommended, and there is no light. What Adobe bought and what Profound sells is the first instrument for finding out whether anyone recommends you in that corridor.
AI-generated summary
Adobe now sells three acronyms in one product line. SEO, which has been around since the nineties. GEO, generative engine optimization, which means being named inside the answer the model writes. And ASO, agentic search optimization, for the case where the thing doing the searching is a piece of software buying on someone’s behalf.
Eighteen months ago two of those three did not exist as product categories.
They exist now because Adobe closed its acquisition of Semrush on April 28 for $1.87 billion in cash, and because two months earlier Profound raised $96 million at a $1 billion valuation, led by Lightspeed with Sequoia and Kleiner Perkins alongside.
A category with two funding events that size in one half-year is a category that will land on your budget next quarter, whether or not you asked for it.
Read the 269% carefully
Semrush brought $480 million of annual recurring revenue with it, which is a real number but not the reason for the price.
The reason is in Adobe’s own measurement. AI-referred traffic to US retail sites grew 269% year over year in March 2026.
Anil Chakravarthy, who runs Adobe’s Digital Experience business, put the thesis plainly when the deal was announced: “Brand visibility is being reshaped by generative AI, and brands that don’t embrace this new opportunity risk losing relevance and revenue.”
Now the caveat, because that 269% gets quoted as though it settles something. It is growth off a small base, on US retail. It does not say that a B2B brand in Central America is receiving meaningful traffic from ChatGPT today. It says the curve points up, and that Adobe was willing to pay $1.87 billion on the assumption it keeps pointing that way.
Those are different claims and marketing teams keep collapsing them into one.
ASO is the one worth watching, and almost nobody is set up for it. Agentic search optimization assumes the thing evaluating your company is software running a purchase on someone’s behalf, comparing you against three competitors against criteria it was handed, and never rendering your page. No brand impression, no visual identity, no landing page. Whatever your site says in machine-readable form is your entire pitch. Adobe put that acronym on a price list before most companies have written a single structured fact about themselves.
A dashboard tells you that, not why
Profound tracks mentions, sentiment and performance across answer engines, and its customer list runs to Target, Walmart, Figma, MongoDB, US Bank and Charlotte Tilbury. Large brands with staff assigned to this full time.
Buying the same tool does not buy you their result.
Two failure modes show up immediately. The first is sampling noise. Identical prompts return different sources, so a dashboard can show a clean upward line that is entirely variance, and somebody moves budget because of it. We went through the arithmetic in AI visibility measurement and sampling noise.
The second is assuming press coverage transfers. In Muck Rack’s December 2025 measurement, the journalists PR teams pitch and the ones AI ends up citing overlapped by just 2%. Getting into the right publication and getting cited by the model are close to unrelated games.
Build the baseline before you buy anything
Write down ten to fifteen questions a real buyer in your category would ask a model today. Full questions with the context that person would include, not keywords. “Which company should I hire for X if I run a Y business in Costa Rica?” is a question. “X company” is a keyword and it will not tell you anything here.
Then ask them yourself. Two different models, three runs each, this week. Record whether you appear, where in the answer, and how you get described.
That is a baseline. It costs two hours and no money, and it turns every vendor demo from an act of faith into a conversation where you already know the answer.
For the wider shift in what a marketing team can actually do now, we wrote what became possible in marketing.
Adobe placed its bet in April. Profound placed its in February. Yours fits in a spreadsheet with fifteen rows, and you can start it this afternoon.
Build your AI visibility baselineFrequently Asked Questions
Adobe announced the acquisition on November 19, 2025 at $12.00 per share, roughly $1.9 billion, and completed it on April 28, 2026 for $1.87 billion in cash. Semrush contributed $480 million in annual recurring revenue to Adobe's book of business.
GEO aims to get a brand named inside the answer a language model writes, rather than ranked in a list of links. SEO optimizes position in an index. GEO optimizes whether you are cited, how you are described, and with what sentiment. Adobe also sells ASO for agentic search.
Profound tracks brand mentions, sentiment and performance across the major answer engines. It raised $96 million in February 2026 at a $1 billion valuation led by Lightspeed, and names Target, Walmart, Figma, MongoDB, US Bank, Charlotte Tilbury and Gamma among its customers.
Measure a baseline before buying. Generated answers vary across identical prompts, so dashboards often report movement where there is only sampling noise. A tool earns its cost once you already have a short list of real buying questions that matter to revenue.
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