Adobe Acquires Semrush for $1.9B: What That Really Means For GEO, AI Search, And Your Marketing
Author: Jennifer Valenti, CSO & Co-Founder
Date: December 4, 2025
Read time: 9 min
Adobe just agreed to buy Semrush in an all-cash 1.9 billion dollar deal, paying 12 dollars per share and offering roughly a 70 to 80 percent premium on Semrush's pre-announcement stock price. The acquisition is expected to close in the first half of 2026, subject to regulators and Semrush shareholders.
Officially, Semrush is being described as a "brand visibility platform" that combines SEO and data-driven generative engine optimization (GEO). Adobe plans to plug that into Adobe Experience Cloud so marketers can see how their brands show up across the web, in search, and inside large language models like ChatGPT and Gemini.
On paper, that sounds like another tidy "big vendor expands its marketing suite" story. It is not that simple. This deal is a loud signal that AI search and GEO are no longer side conversations. They are moving into the center of how brands get discovered, evaluated, and chosen.
1. Search Has Already Changed
Look at what has happened in a very short time:
ChatGPT Normalized "Ask, Get Answer, Never Click"
When ChatGPT hit the mainstream, users learned they could ask real questions and get full answers instead of scrolling through blue links. That is a new habit that is not going away.
Google Responded with AI Overviews
First as Search Generative Experience, then rebranded and rolled out as AI Overviews, which now show up in over 60 percent of United States queries.
Clicks Started to Drop, Even While Demand Stayed Strong
Multiple studies now show double-digit declines in click-through rate when AI summaries appear. Some report 30 to 45 percent drops for top organic results, and in certain cases far worse, especially for informational queries.
Zero-Click Behavior is Becoming Normal
Surveys suggest that a large share of users now get what they need from search pages or AI layers without ever visiting a site. Organic traffic is down 15 to 25 percent for many publishers, even while overall search activity grows.
So, the pattern looks like this:
- Curiosity, questions, and discovery are up
- Your classic traffic chart is often down
- AI systems are sitting between users and your site more often
That is the gap Adobe wants Semrush to fill.
2. SEO vs GEO: The Line That Matters Now
Here is the simple way to describe the shift.
SEO helps people find you. GEO helps AI choose you.
SEO is about:
- How search engines crawl and rank your pages
- How often people click through to your site
GEO (Generative Engine Optimization) is about:
- How large language models and AI assistants interpret your brand
- Whether you are cited or referenced inside their answers
- How visible you are in "zero-click" experiences where users may never touch your domain
You can still rank number one in classic results, yet:
- AI Overviews summarize the answer and never mention you
- An AI assistant pulls examples from three competitors instead of you
- A user learns everything they need without loading your page
From a GEO lens, the key questions are different:
- Do AI systems recognize your brand as an entity?
- Do they cite your content when they answer questions in your category?
- When they list options, are you in the list or are you just part of the training noise behind someone else's mention?
Adobe did not use this exact framing, but in its announcement, it leaned hard on Semrush's GEO capabilities saying, "Semrush's solutions address a growing, essential need for marketers: remaining discoverable in AI search."
3. What Adobe is Really Buying
Strip away the investor talk and look at this from an AI search angle.
3.1 A Combined Visibility Graph for Search and AI
Semrush has grown into more than a traditional SEO tool. It tracks:
- Organic rankings and keyword performance
- Competitive visibility and content gaps
- Backlink and authority signals
- Increasingly, how brands appear in AI-driven search features
Adobe gets a visibility graph that spans both search and, increasingly, AI surfaces. That is valuable because:
- LLMs lean heavily on authority and citation patterns
- AI Overviews reshuffle which brands get mentioned
- Marketers now need to understand why they appear (or do not) inside those experiences
3.2 A Front Door into SEO and Performance Teams
Semrush is already sitting in the browser tabs of:
- In-house SEO managers
- Content and growth teams
- Agencies that run audits, pitches, and retainer work
By pulling Semrush data into Experience Cloud, Adobe does not need to win a new habit. It wraps its analytics, personalization, and activation tools around workflows that already exist.
3.3 A GEO Story for the C-Suite
Adobe has been under pressure to show how its AI investments turn into revenue.
Owning Semrush lets them walk into a boardroom and say:
- "We create your content."
- "We measure your campaigns."
- "We now help you stay visible in search and AI answers."
That is a clear narrative about brand visibility in a world where AI is rewriting how people research and buy.
3.4 A Safer Big Bet After Figma
Adobe abandoned its 20 billion dollar Figma deal after regulators pushed back in the United Kingdom and European Union.
Semrush is a smaller, adjacent acquisition in an area where Adobe is already active: digital experience and marketing analytics. It still moves the needle without painting quite the same antitrust target on Adobe's back.
4. Why This is Good for the Market, but Not Simple for Marketers
From a distance, this acquisition is:
Good for the GEO and AI search category — Adobe is effectively telling the market that GEO and AI visibility are core capabilities, not a niche experiment. That unlocks budget and urgency inside big organizations.
Good for advanced teams already inside Adobe and Semrush — Over time, they should get tighter connections between content, campaigns, and visibility data across search and AI.
But it also raises some questions that marketers need to think about now.
4.1 Will GEO Get Stuck Inside One Vendor's View of the World?
Adobe's incentive is to keep you inside its stack. So there is a real risk that the "official" story of your visibility is whatever Adobe chooses to surface, and integrations with competing tools are shallow or slow. It would also be possible that features skew toward large enterprise needs, not the broader market.
For GEO to stay honest, you want at least one neutral lens on how AI systems see you, not only the view from a marketing cloud that also sells you campaigns.
4.2 Can Any Single Platform Fully Represent the New Discovery Landscape?
Discovery is now spread across:
- Classic search
- AI Overviews and AI modes
- Chat-based search like ChatGPT and Perplexity
- Copilots inside productivity suites
- Short video and social search
- Voice assistants and multimodal tools
Vendors will understandably focus on the surfaces they can measure well. That means marketers still need to ask:
- Where are the blind spots in this reporting?
- Which AI systems do we have no visibility into yet?
- How do we cross-check what a vendor says with what we see in the wild?
Adobe plus Semrush will be strong here, but not complete. No one is, yet.
5. What This Shift Means for GEO and AI Search in Practice
The Adobe–Semrush deal isn't just a transaction, it sits on top of deeper changes that matter more than the headline.
5.1 Rankings Are Now a Weak Proxy for Demand
Independent research is showing a consistent pattern: when AI Overviews appear, the traditional click path collapses. Click-through rates for top organic results can fall by 30–60 percent, and referral traffic drops for publishers even when they continue to rank in the same positions. Some category leaders that once owned page one are now experiencing double-digit declines.
The demand has not disappeared, it has simply shifted into environments where the answer is delivered directly, with no click required.
GEO focuses on that new layer. The questions are no longer just "How do we rank?" but:
- Are we present and cited in the AI answer?
- Are we the example the model chooses to represent our category?
- Does it understand and accurately express our value proposition?
Visibility now depends on being chosen, not just being blue-link visible.
5.2 Entities, Structure, and Authority
Large language models don't care about keyword density or classic on-page tactics. They respond to clarity — clear entities, well-defined relationships, structured data that expresses meaning, and consistent proof of expertise and trust across multiple sources.
A page can hold a high position in traditional results yet still be ignored by AI if the entity representation is weak or ambiguous. Conversely, a well-structured, clearly authored, consistently referenced source can surface more often even if it sits lower in the legacy ranking stack.
This is where GEO and SEO intersect. You still need technical health and quality content, but you now optimize for citability, not just rank position. Authority is no longer measured by where you appear — but whether the model chooses you when it answers.
6. Agencies: Who Needs to Change and Who is Set Up to Win
If you run an agency or depend on one, this deal should trigger a hard look at your offer.
6.1 The Agencies at Risk
Agencies built on:
- "Page one" guarantees
- High volume content production without strategy
- Bulk link buying
- Thin dashboards with keyword charts and little context
...will struggle to defend their value when:
- Traffic drops, even for content that "won"
- Clients ask about AI search visibility and the agency has no answer
- Boards want to know why competitors are the ones mentioned in AI summaries
6.2 The Agency Model That Will Thrive
Agencies that position themselves as AI visibility partners will be in demand. That means things like:
- Running AI visibility audits across ChatGPT, Gemini, Perplexity, Copilot, and Google AI modes
- Owning schema and structured data as core work, not an add-on
- Testing how AI systems answer real questions in the client's category and closing the gaps
- Building cross-surface discovery strategies across search, AI, video, and social
Those agencies can use Adobe and Semrush as important tools, but they are not limited by them.
7. A Practical 18-Month Playbook
Reference our full GEO Playbook: AdvantageGEO: The Complete GEO Playbook
Here is a quick rundown on how we think serious brands and agencies should respond, regardless of their current stack.
7.1 Run an AI Visibility Audit
Go beyond rank tracking and look at how AI systems actually talk about you. Check ChatGPT, Gemini, Perplexity, and Bing Copilot to see whether your brand appears in answers, whether you surface inside AI Overviews, and which competitors are cited instead. Pay attention to gaps between what you want to be known for and how models currently describe you. This doesn't need to be formal or complex, it just needs to replace guessing with visibility.
7.2 Rebuild Content Around Citability, Not Just Keywords
Treat every key page and asset as input for a model that is looking for:
- Clear, concise explanations
- Strong evidence and external support
- Clean structure with headings and markup
- Real expertise and experience
That often means less content, written with more intent, supported by better data.
7.3 Strengthen Your Entity Footprint
You want AI systems to see you as a real, distinct, trusted entity. That includes:
- Consistent naming and profiles across the web
- Rich, accurate structured data on your site
- Depth on the topics you want to own, not shallow coverage on hundreds of random keywords
- Real-world proof: customers, partners, research, press, and more
7.4 Shift Your KPIs
Add new questions next to your familiar metrics:
- Not just "how much organic traffic did we get" — Also "how often are we cited in AI answers in our space"
- Not just "what is our average position" — Also "what share of AI summaries in our key journeys include us"
- Not just "how many sessions" — Also "what is the quality and revenue impact of AI-mediated touchpoints"
7.5 Treat AI Systems as Channels, Not Enemies
AI search and assistants are new distribution channels:
- They send traffic directly in some cases
- They shape opinions and shortlists even when they do not
- They can misrepresent you if you ignore them
It is crucial to make them accurate and favorable.
8. The Real Question This Deal Should Make You Ask
Adobe is not spending nearly 2 billion dollars for a vanity buy. It is doing it because the way people discover and evaluate brands is being rewired by AI, and visibility inside that layer is now worth real money.
The question is simple: when AI systems talk about your category, are they talking about you or only your competitors?
If you don't know, that uncertainty is the signal; not to panic, but to act.
- Start by auditing how AI systems see you today
- Invest in GEO and entity strength rather than just producing more content for traditional rankings
- Build or hire the capability to treat AI search as a true channel
- Use tools like Adobe and Semrush where they add value, while maintaining an independent view of what is real, not just what a platform reports
Search is not disappearing. It is being rebuilt around AI and multiple surfaces. The brands that accept that early will shape how they show up in that world. The ones that wait will quietly slide out of the answers that matter most.
To learn more about Generative Engine Optimization, check out https://www.advantagegeo.ai/ weekly to read the latest GEO and AI insights, see real-life customer use cases and hear from experts on cutting edge, next gen technology.
Tags: AI, GEO, SEO versus GEO, SEO, Digital Marketing, Adobe, Semrush, Generative Engine Optimization