Semrush

The rules of brand discovery are evolving. Fast. @Adobe has completed its acquisition of Semrush, expanding our ability to help businesses navigate a rapidly shifting landscape shaped by AI, LLMs and agentic experiences. Visibility today goes beyond traditional SEO, spanning generative engine optimization (GEO) and emerging agentic search. As more decisions are influenced by AI, brands need to show up and stand out across every touchpoint. Together, Adobe and Semrush aim to give marketers that edge. By combining Semrush’s discoverability intelligence with Adobe’s customer experience tools, the result is a more connected approach, linking how brands are found with how they engage and convert, all within one integrated system. Read more: social.semrush.com/4cMxvAd

@Seozilla_ai different surfaces contribute at different stages! Each surface plays a different role in the journey

@semrush the multisurface SEO world is where growth really happens

SEO used to be about pages, rankings, and backlinks. That foundation still matters, but it’s no longer the whole truth 🤓 Now it’s: • UGC • Communities • LinkedIn • Reddit • AI search modes • Autonomous agents Here's how it's moved from website to a full-on ecosystem👇

@Seozilla_ai data and storytelling working together is what makes the output usable

@semrush data meets storytelling for measurable impact across roles

According to our study, data literacy and narrative skills are now core to high-performing content marketers. • Analytics ranks #1 for senior roles (~40%) • Storytelling is now a top-three skill (29%) • Content creation is increasingly replacing pure writing (+209%) • SEO is a baseline skill across roles The role has evolved: create, distribute, and demonstrate impact. Full data: social.semrush.com/3OXokVF.

@Dmitriy_Grey_AI data needs interpretation to become useful, not just volume

@semrush Analytics without narrative becomes meaningless noise. That's precisely why we developed RAI AI—to help teams extract actionable stories from overwhelming data quickly. When competitors are already sharing their insights, speed determines who leads the conversation.

@Prithvi_Jadwani The pages still pay the bills, they just are not the only place value shows up

@semrush Ecosystem sounds good, but still gotta pay rent on those pages tho 💀

@DigitalAge2024 Many brands rank well but do not appear in AI outputs! Discovery is expanding beyond traditional search results

Google rankings don't matter if ChatGPT never mentions you. Are you visible in AI search? 👀 Most brands aren't. Yet. tinyurl.com/2p8ypvav #SEO #AISearch #Semrush #SemrushOne

@Seozilla_ai Ranking gets you in range, clarity gets you included 🤝

@semrush great data point. clean structure and fresh content power ai overviews

67% of URLs featured in AI Overviews also rank in Google’s top 10 organic results – reinforcing that SEO remains essential. But for AI to use your content, it needs to understand it, trust it, and easily incorporate it into answers. The difference between being featured or overlooked usually comes down to three factors: 1. Structure 2. Freshness 3. How easy your content is to cite Here are 7 steps to try today ⬇️ social.semrush.com/4vZbIyd.

AI visibility is now a key part of SEO. AI search doesn’t just send users to websites – it surfaces answers directly from content. Your brand needs to be included in those answers. Here’s how to grow yours ↓ social.semrush.com/3QznBuB.

@KnightLogics Exactly—more pages won’t fix a broken foundation

@semrush That is a big miss on a lot of small-business sites. They keep publishing new pages while the existing service pages are thin, orphaned, or impossible to discover internally. Better surfacing and cleanup usually beats content volume.

Most websites don’t need more content. They need better visibility into what they already have: old pages, forgotten pages, orphaned pages no one has touched in years. Your next traffic lift is already in your library. You just haven’t surfaced it yet. That’s where Semrush SEO Toolkit becomes a real unlock showing you exactly which pages to refresh, fix, interlink, or prioritize. Try it out now: social.semrush.com/4cDBn7V.

@KnightLogics Exactly—the pipeline matters more than the snapshot 👀

@semrush That is the real test. A lot of brands are measuring AI visibility like a ranking report, but the stronger question is whether the model can find the entity, trust the signals, and cite pages that are actually conversion-ready.

The question every brand faces today: can AI find, trust, and cite them? This 9-step workflow helps teams answer that question with data, not assumptions. From AI visibility benchmarking to unified SEO + AI reporting, this is how modern search strategy begins 👇 social.semrush.com/49hx53O.

@presenc_ai Exactly—visibility isn’t a single metric, it’s a chain.

@semrush The question is right. The answer pattern most tools sell is wrong. AI find, trust, and cite are three independent evaluations. Workflows that report them as one number hide where the failure actually lives.

We tested nine SEO writing tools to evaluate their effectiveness. Here’s what we found: social.semrush.com/4tDtnd4.

@Nicholasekene00 SEO work still applies, the scope around it has expanded

@semrush SEO audit is okay but traditional SEO isn't enough anymore. Businesses are losing clients because AI didn't recommend them. AEO is the missing piece 🙌

Not sure why your rankings have stalled? Run an SEO audit. Here’s how to do it right 👇 social.semrush.com/4cSPl4J.

@Prithvi_Jadwani Organic ROI often depends on how clearly costs and impact are tracked

@semrush What about return on organic spend? That's the only metric that matters to most startups

20 marketing KPIs to track & improve in 2026 1. AI visibility 2. Brand mentions 3. AI citations 4. Keyword rankings 5. Organic clicks 6. Impressions 7. Backlinks 8. Return on ad spend 9. Cost per mille 10. Follower count See 10 more: social.semrush.com/3P7OoO5.

@MuhammadAbub5 good place to start is understanding how each metric connects to a real business goal

@semrush Very informative and well detailed about cpl cpm and others. I wanna learn more about this type of marketing fundamentals

@bree_sharp Connecting data changes what teams can do with it

The data fragmentation problem is real — and it’s one of the biggest time sinks in SEO. You spend more time wrangling spreadsheets than actually acting on insights. MCP + natural language querying is a genuinely different unlock here. The question is whether teams will use it to move faster or just to generate more reports nobody reads.

Getting more data is rarely the problem in SEO. The issue is that it lives in too many places, and turning it into useful insights involves a lot of jumping between tools, exporting CSVs, and piecing it all together manually. Claude Code and the Semrush MCP let you see the full picture in one place, and in a way that lets you interact with the data in plain English. Here's how to connect your first-party Google data and Semrush’s competitive intelligence to Claude Code ↓ social.semrush.com/4cIQMnz.

@searchless_ai that gap between cited and surfaced is where a lot of visibility gets lost! Tracking both layers gives a clearer picture than volume alone

@semrush True, but that's precisely why extractability is its own optimization layer. Content abundance gets you in the corpus. Structured extractability gets you in the answer. We track both separately because the gap between being cited and being surfaced is where most brands lose.

The through-line from today's data: AI search is not decentralizing discovery, it's concentrating it. Semrush (April 2026): 30%+ of ChatGPT referral traffic lands on 10 domains. 20% goes to Google alone. That means the other 99.999% of the web fights for the remaining 70%. The brands winning citations aren't the ones with the most content. They're the ones whose content is structured to be the easiest answer to extract. GEO isn't a volume game. It's a clarity game.