u/semrush

AI visibility is a topic-level game: A study of 50,000 brands in ChatGPT

AI visibility is a topic-level game: A study of 50,000 brands in ChatGPT

We tracked how often brands actually get named in ChatGPT answers across 1,094 US categories, in a joint study with Kevin Indig and Growth Memo (Jan-June 2026, 50,000+ brands, 600,000+ citations). The most popular topics turned out to be the least owned ones.

The numbers:

  • Only 15.2% of categories have a clear owner (highest mention share, in 4+ of 5 prompts, 5+ point lead). 31.2% have an emerging leader with no real margin. 53.7% are wide open.
  • High-volume topics (98% of AI search volume) had a clear owner only 11.3% of the time, vs. 19% for niche topics. The categories everyone's fighting over are the least settled.
  • Traditional SEO strength barely predicts who wins. Category owners had higher branded search volume in just 55.7% of pairs, more organic traffic in 48.4%, higher Authority Score in 52.5%. Nearly half of runners-up beat the "winner" on at least one SEO metric.
  • Lead size determines durability. A 5+ point lead held 90.4% of the time month over month. Categories that flipped had a median lead of just 1.3 points beforehand.

Strong SEO helps you show up, but once several brands are in the running, deep coverage of the specific topic is what turns you from runner-up to owner.

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How to start winning at the topic level

Winning one prompt isn't the same as owning the category. If you want to actually move on this:

  • Identify the topics your customers are already asking about, where you have a real stake in the answer.
  • Check your current standing before you commit resources: know if you're starting from zero or building on something.
  • Concentrate on 2-3 categories instead of spreading across everything. Depth beats breadth here.
  • Build authority on two fronts: content that actually covers the category (not just one prompt), and mentions in the sources ChatGPT already cites — Reddit threads, reviews, industry publications, expert commentary.

The shift underneath all of this is simple. Search has become a topic-level game, and topic ownership is the metric that matters across traditional and AI-powered search. Your share of a topic, your competitors' share, and the gap between them. 

The brands that start treating topics as the unit of their strategy will be the ones best positioned to build and defend brand visibility over time 🔥

reddit.com
u/semrush — 3 days ago

Traffic Is Down... Now What? Marketing Success In the Age of AI

If your organic traffic has been sliding and your technical SEO checklist is already fully checked off, the traffic probably isn't coming back the way it used to.

Google is answering a growing share of queries directly inside AI Overviews. ChatGPT and Claude are fielding a lot of the questions people used to type into a search bar instead. Neither sends much traffic back to your site, and both tend to cite big, established brands over smaller ones. Semrush's January 2026 AI visibility study found the most-cited domains across LLMs are Reddit, LinkedIn, Wikipedia, and YouTube — large, already-authoritative platforms. Nike.com, as one example, shows an AI visibility score of 85 with 1.2 million mentions and 386,400 citations. That's the kind of scale AI platforms default to citing.

Which creates a real chicken-and-egg problem if you're not already one of those established names: you need authority to get cited, but you need visibility to build authority in the first place.

The way out isn't a technical fix, it's brand building — the kind of work that used to be treated as a nice-to-have on top of SEO, not the foundation under it. A few tactics that actually move the needle:

  • Original, distinct content. Growth.Design built its whole reputation on interactive case studies mixing illustration, storytelling, and design breakdowns. Peep Laja (CXL) described it as standing out because "many sites are in a sea of sameness." Blending into that sameness is exactly what doesn't get cited.
  • PR that generates third-party mentions. Duolingo's 2025 "mascot death" stunt got picked up by CBS News, NPR, and USA Today. Coverage like that is exactly the kind of external signal AI platforms use to judge credibility, separate from anything on your own site.
  • Consistent presence where your audience already is, on social and in communities, not just occasional posts — steady presence is what builds the familiarity that turns into direct name searches later.

None of this replaces solid SEO. It's what has to sit underneath it now, because SEO alone isn't generating the same volume of new discovery it used to. Strong brands get direct traffic from people searching their name, get bookmarked, and get shared without being asked — none of which shows up on a technical audit, but all of which is what AI platforms and search engines are increasingly built to reward.

The traffic drop isn't a bug to patch. It's a sign the old measurement was traffic, and the new one is whether people (and the platforms answering their questions) recognize your brand at all.

u/semrush — 8 days ago

Introducing Adobe Brand Visibility: A Unified Solution for the AI Search Era

Adobe and Semrush just launched Adobe Brand Visibility, a tool built specifically to answer the question every brand is now getting asked internally: are we actually showing up in AI search, and how do we compare to competitors there.

It's part of Adobe CX Enterprise, and it pairs Semrush's AI Optimization (GEO) data with Adobe's agentic content and asset management stack. Most teams can now tell you whether they got mentioned by ChatGPT or Google AI Mode, but almost none of them can tell you if they're winning or losing against competitors in those same answers. This is built to close both gaps in one workflow instead of forcing you to stitch together a monitoring tool and a separate content fix.

What it actually does:

  • Tracks brand mentions and audience reach across ChatGPT, Google AI Mode, Microsoft Copilot, and Perplexity, and benchmarks that against competitors
  • Surfaces prompt-level data on which topics and prompts are gaining traction, and which ones competitors already own, so teams know where to focus instead of guessing
  • Once a gap is flagged, AI agents can generate and push optimization recommendations straight to where LLMs pull content from, with updates going live in minutes instead of a normal publishing cycle
  • Runs on top of Semrush's SEO database (28.5 billion keywords, 43 trillion backlinks, built over 17 years), since traditional SEO signals still underpin a lot of what LLMs cite.

It can run standalone or plug into Adobe Experience Manager, so the optimization loop connects to the same content and asset system driving the rest of a brand's site.

Check out the full details here!

u/semrush — 9 days ago

Your AI visibility score needs competitive context

Semrush tells you that your brand appears in 30% of the AI responses you track.

How do you know if that's good, though?

It is difficult to know without comparing:

  • Which competitors appear more often
  • Which prompts they consistently win
  • How each company is described
  • Which sources support those recommendations
  • Whether visibility differs across AI platforms

AI visibility is most useful as a relative measure.

Instead of focusing only on one overall percentage, take your ten most commercially important prompts and record:

  1. Whether your brand appears
  2. Which competitors appear
  3. Where each brand appears in the answer
  4. How the brands are positioned
  5. Which third-party sources are cited

That comparison usually reveals much clearer priorities than an isolated score.

Pick your top AI visibility challenge and get help from an expert in Spotlight’s Mastermind sessions, 50-min small-group roundtables. One full-day event in London on October 13.

Which competitive AI visibility metric have you found most useful?

u/semrush — 14 days ago

We tested 4 landing page types. Here's when to use each.

Not all landing pages are the same. The best ones are built for a specific conversion goal, and that shape changes depending on what you're actually trying to do.

Landing Page Types:

Lead generation pages are built to collect emails. You're offering something valuable—a guide, a checklist, a resource—in exchange for a contact. The page's entire existence is "give me your email, I'll give you something useful."

Click-through pages are different. They educate and persuade, then send visitors somewhere else to convert. They don't have forms. Instead, they build a case (benefits, proof, testimonials), then a single CTA that says "I'm ready to try this" or "Tell me more." Software companies use these before trial sign-ups. Ecommerce uses them before checkout.

Squeeze pages are minimalist. One form field. Barely any copy. Just enough to communicate "here's what you get." Newsletter sign-ups, webinar registrations, early-access lists—these are squeeze pages. The friction has to be near zero.

Sales pages are the opposite. They're long-form and packed with detail. Detailed explanations, testimonials, pricing, FAQs, all the objection handling you can fit. B2B software companies use these for big purchases. Online course creators use them.

The right type depends on your traffic, your audience readiness, and what you're actually selling. A high-intent audience shopping for a $50K software contract needs a sales page. A cold traffic audience discovering you for the first time? Lead gen page to start.

Check out the full breakdown with more examples over on our blog here!

u/semrush — 15 days ago

How to determine AI visibility ROI and revenue impact

One of the biggest questions around AI visibility is: "How do I prove this is actually driving revenue?"

Tracking mentions, citations, or AI Share of Voice is a good start, but none of those metrics tell you whether AI is generating business on its own.

Instead, think of AI visibility as an influence channel rather than a traditional traffic source.

A practical way to measure ROI is to connect four layers of metrics:

1. Visibility

Track whether AI is actually surfacing your brand.

Examples include:

  • Mentions
  • Citations
  • AI Share of Voice
  • Prompt coverage
  • Sentiment

2. Demand

Once visibility improves, look for signs that it's creating interest.

This includes:

  • AI referral traffic
  • Branded search growth
  • Direct traffic

3. Conversions

Next, measure whether that demand is turning into pipeline.

Track metrics like:

  • Leads
  • Qualified leads
  • Demo requests
  • Sales conversations

4. Revenue

Finally, connect those conversions to business outcomes.

Look at:

  • Closed revenue
  • Gross profit
  • ROI

These metrics don't all move at the same time; visibility tends to improve first, followed by traffic and demand, then leads, and finally revenue. That's why measuring the entire chain is much more useful than looking at referral traffic alone.

We'd also recommend combining multiple attribution methods instead of relying on a single source. AI referrals in GA4, self-reported "How did you hear about us?" responses, CRM data, and sales conversations each capture a different part of the customer journey. Looking at them together gives a much more complete picture of AI's impact.

The takeaway: AI visibility ROI isn't about finding one perfect metric. It's about connecting visibility, demand, conversions, and revenue into a single measurement framework so you can understand whether your AI visibility efforts are actually contributing to business growth.

u/semrush — 16 days ago

How Cardmarket wins search by knowing its community better than anyone 👀

We recently sat down with the SEO and marketing team at Cardmarket — Europe's largest trading card marketplace (Pokémon, MTG, Yu-Gi-Oh!, One Piece) — to break down how they grew AI-referred sessions more than 200% in a year, with some individual card pages pulling hundreds of thousands of sessions each.

The short version: they treated trust and community as part of their SEO infrastructure, not a separate department. Here's how👇

Step 1: Segment before you draw conclusions

With millions of card pages across multiple domains and languages, their SEO specialist Sallar stopped looking at total traffic and started tracking by game, domain, page type, and branded vs. non-branded queries. A flat topline number can hide real wins (or real problems) buried underneath it.

Step 2: Make your trust signals verifiable

Their big insight: AI chatbots evaluate trust almost exactly like a skeptical human buyer would. Ask ChatGPT "is Cardmarket safe to use" and it pulls from Trustpilot, help docs, and forum threads — not Cardmarket's own marketing copy. So they made every trust signal concrete and documented: escrow-style payment holds, mandatory VAT IDs/business registration for sellers, public price history graphs on every card.

Step 3: Write for the community, not the algorithm

Product page copy is now written by people who actually play the games, verified internally, and translated into five languages — instead of generic templated descriptions. As their SEO specialist put it: "We don't write SEO text, we write for the community."

Step 4: Manage the narrative where your community actually talks

This is the part we found most interesting. Cardmarket has its own subreddit (started organically by users, later handed over to the team) plus forums for each game and a dedicated news platform. A community specialist actively monitors and responds across all of it, because when a policy change causes concern, whoever shows up first with facts is more likely to shape what AI models repeat later. Their marketing lead put it well: "the discussions made by the community informally about your company are where the search results from AI will come from."

Results after about a year: AI-referred sessions up 200%+, the Umbreon ex card page alone pulling 560K sessions, and organic traffic climbing to roughly 5.8M monthly visits with 74K keywords ranking in the top 3 🔥

u/semrush — 23 days ago

Your homepage isn't a landing page (and it's costing you conversions)

Most teams treat homepages like landing pages. They're not the same thing, and that difference is burning conversions right now.

A landing page is built for one specific action—a sign-up, a download, a purchase. Everything on it points to that one goal.

A homepage does the opposite. It's trying to be everything to everyone. It greets people coming from search, from brand mentions, from direct traffic. It introduces the business, builds trust, and points visitors to multiple pages. It has multiple goals by design.

So when you send a paid ad to your homepage instead of a dedicated landing page, a few things happen:

Visitors get confused about what they're supposed to do next. The page promised one thing (the ad), but the homepage is asking them to pick from ten different options. That confusion kills conversions.

Google and Facebook notice the mismatch. Ads perform better when the page they lead to is relevant to the ad copy. When it isn't, platforms charge you more for placement and lower your ad visibility.

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When should you actually build a landing page?

Build one when a specific audience, offer, or campaign needs focus that your existing pages can't deliver without losing their main purpose.

That's usually running paid ads and the landing page needs to match the ad's promise, targeting a specific audience with messaging that wouldn't work for your broader audience, or promoting a specific offer that deserves its own page.

The difference sounds small. But in conversion performance, it's massive.

reddit.com
u/semrush — 24 days ago

How to measure AI share of voice using Semrush

If you're investing time into AI visibility, one of the biggest questions becomes: How do you actually measure whether you're making progress?

That's where AI Share of Voice (AI SoV) comes in.

AI Share of Voice measures how visible your brand is compared to competitors across AI-generated responses. Rather than tracking individual mentions, it helps answer a much bigger question: Are you gaining or losing visibility in your market?

Here's how to measure it in Semrush's AI Visibility Toolkit:

1. Open the Brand Performance report

Enter your domain, choose your target location and language, and let Semrush identify your competitors. You can also add or remove competitors to make the comparison more relevant.

2. Choose the AI platform

Switch between ChatGPT, Google AI Mode, Perplexity, Gemini, and other supported platforms to see how your visibility changes across different AI systems.

3. Review your Share of Voice

The Share of Voice chart shows how much AI visibility your brand owns relative to competitors. Larger shares mean your brand is appearing more often—and more prominently—in AI-generated answers.

4. Track changes over time

Your AI SoV isn't static. It changes as competitors publish content, AI models evolve, and your own visibility improves.

Watching this trend over time is much more useful than checking a single snapshot.

If your AI Share of Voice isn't where you'd like it to be, there are a few places to start:

  • Cover topics where competitors are being mentioned but your brand isn't.
  • Expand your presence across trusted third-party sources like review sites, industry publications, forums, and communities.
  • Make sure your site has a strong technical foundation so AI systems can crawl and interpret your content.
  • Monitor how AI describes your brand and address recurring gaps or negative themes.

AI visibility is becoming another competitive channel to measure, not just another metric to monitor.

Tracking AI Share of Voice over time gives you a much clearer picture of whether your brand is actually gaining visibility or whether your competitors are pulling ahead.

u/semrush — 28 days ago

We surveyed 600+ B2B buyers. Here's how AI is changing vendor selection

AI isn't just helping B2B buyers discover vendors anymore.

It's influencing who makes the shortlist, who gets compared, and in many cases, who gets selected.

We wanted to see how much buying behavior has actually shifted, so we surveyed more than 600 U.S. B2B professionals who use AI for work.

A few findings stood out:

  • 66% regularly use AI to research vendors and solutions.
  • 92% say AI has shaped their vendor shortlist.
  • 83% say AI influenced their final vendor decision.
  • 89% expect to rely on AI even more for work decisions in the future.

One thing we found especially interesting: AI isn't replacing traditional search.

After getting a recommendation from AI, buyers usually keep researching.

According to our survey:

  • 71% visit the vendor's website.
  • 63% search for the company on Google.
  • 46% compare it against competitors.
  • 38% check review sites like G2.

So showing up in AI is only the first step. Buyers still validate what they see before making a decision.

Another takeaway surprised us.

When buyers notice a company in an AI response, brand recognition barely matters. Only 7% said they notice a vendor because they already recognize the brand.

Instead, buyers care much more about whether the recommendation clearly matches their specific use case and explains why it's a good fit.

That's a pretty meaningful shift from traditional thinking around brand awareness.

If you're thinking about AI visibility, it raises a few interesting questions:

  • Does AI understand what your product actually does well?
  • Are you showing up for the right use cases?
  • Does your website (and third-party coverage) reinforce what AI is saying about your brand?

We break down all of the findings—including which AI tools buyers use most, where AI fits into the buying journey, and what makes a vendor stand out—in our full report here.

Curious to hear what you're seeing.

Have you noticed AI influencing your sales pipeline yet, or is traditional search still driving most of your qualified leads?

u/semrush — 29 days ago

Google just changed how we measure social content in search 👀

Google is introducing a new Search Console feature that lets you measure how your content on Instagram, TikTok, X, and YouTube performs in Google Search.

For years, social performance and search performance have lived in separate reporting worlds. That's starting to change! Instead of only seeing traffic to your website, you'll also get visibility into how people discover your social content through Google.

Why does this matter?
Until now, there was no native way to measure how your brand's social content performed in Google Search or Discover.
Now, Google is giving marketers first-party data on content they don't actually own. That means you can see which social content earns impressions and clicks in Search 👇

https://preview.redd.it/op73ilq82udh1.jpg?width=1280&format=pjpg&auto=webp&s=bbb1221c2bc7e994b46f624861809f35b5e5ec9b

reddit.com
u/semrush — 1 month ago

Content Hubs Explained: Why They Matter for SEO

For your content to be impactful, search engines need to be able to find it and understand it. To increase the chances of it appearing in search results and reaching your audience. 

That’s where content hubs come in. They help you structure your content for both humans and search engine crawlers. 

A content hub is a collection of related content pieces about an overarching topic that are all connected through internal links (links on your pages that point to other pages on your site). 

It consists of the hub (main) page that provides an overview of the topic. And cluster pages (subpages) that let readers dive deeper into more specific subtopics.

Done right, they strengthen crawlability, deepen context, and sharpen topical authority across your entire domain.

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Content hubs can improve your search engine optimization (SEO) performance. And eventually drive conversions that help you reach business goals.

Here are a few specific benefits:

  • Better organization for users and search engines: Grouping related content together simplifies navigation for your readers. And creates a clear path for search engine crawlers to follow—which makes it easier for them to discover all related content.
  • Higher chance of ranking for difficult keywords: Creating subpages focused on specific, non-competitive keywords helps you build up rankings that may make securing a ranking for the main page easier. Even if it targets a search term with a high keyword difficulty score (which indicates it will be difficult to appear in the top 10 results).
  • More credibility: Using content hubs helps you build topical authority (credibility) on a particular subject. Because they let you comprehensively cover a topic from various angles to show you have a well-rounded understanding of the subject.
  • Easier content calendar planning: Coming up with a content hub concept clearly shows what content you have and what's missing. Making it easier to plan future articles or updates.
reddit.com
u/semrush — 1 month ago

Bottom of Funnel (BOFU): Turning Prospects Into Customers

Bottom of funnel (BoFu)

The bottom of the conversion funnel is where potential customers become ready to make a purchase decision. The primary goal of the BoFu stage is to convert potential customers into actual customers.

There are several challenges at this stage of the funnel, including pricing, alternatives, and customer concerns about efficacy or support. All of these potential issues can be solved with the right information and resources at the right time.

BoFu marketing tactics

BoFu marketing tactics are designed to turn potential customers into paying customers and brand advocates. You do this by creating confidence, clarity, and a sense of urgency that will encourage potential customers to make that final purchase decision.

Effective BoFu tactics include:

  • Live demos: Real-time presentations showcasing product benefits, addressing final queries, and persuading prospects to make informed purchase decisions
  • Retargeting ads: Target people who visited pricing pages, started trials, or abandoned carts with specific offers or reminders
  • Email sequences for high-intent actions: Automated emails triggered by pricing page visits, demo requests, trial signups, or cart abandonment to push prospects over the finish line
  • Customer support: Places for prospects to seek assistance and get quick answers to anything that is preventing them from buying
  • Free trial extensions: Extra time for prospects who need more proof before committing
  • Personalized outreach: Direct contact from sales reps to high-intent leads answering specific objections and tailoring solutions to their needs
  • Money-back guarantees: Risk-reversal offers that remove purchase hesitation by promising refunds if the product doesn't deliver
  • Limited time offers and discounts: Urgent and exclusive deals to prompt immediate action from prospects, driving conversions and purchases at the bottom of the funnel

BoFu content

BoFu content should help build customers’ confidence that your product is the right one for them and that now is the right time to buy.

Here are some common types of BoFu content:

  • FAQ pages and buyer guides: Detailed resources answering final queries and providing valuable information to drive purchase decisions
  • Customer testimonials: Inspiring narratives from satisfied customers who have achieved remarkable outcomes through your product or service
  • Competitor comparison guides: Content that highlights product advantages, guiding prospects to choose the brand over competitors and finalize their purchase.
  • Use cases (highlighting client successes): Compelling scenarios that vividly depict how your product or service has been employed to overcome challenges and achieve outstanding outcomes
  • Case studies: In-depth customer stories with specific metrics, challenges solved, and ROI achieved to show proof
  • Competitor comparison guides: Direct comparisons between your product and named competitors (e.g., "[Your Brand] vs. HubSpot"), highlighting your specific advantages and differentiators
  • Interactive assessments: Quizzes or tools helping prospects self-select the right pricing tier or buy the right product
  • Product demo videos: Focused walkthroughs showing key features solving specific problems to help prospects visualize using your solution and confirms it meets their needs

BoFu metrics

BoFu metrics reveal whether your bottom-funnel tactics actually convert prospects into customers profitably, and when conversion rates fall short, they help pinpoint weaknesses throughout your entire funnel.

Here are a few key BoFu metrics to track:

  • Purchase conversions: Number of prospects who completed a desired action (e.g., made a purchase) at the bottom of the marketing funnel, indicating successful conversions
  • Customer acquisition cost: Total expenses to acquire a new customer, assessing the efficiency and cost-effectiveness of marketing efforts
  • Conversion-to-lead ratio: Percentage of leads that converted into customers, gauging the quality and performance of the bottom-funnel content
  • Return on ad spend (ROAS): Revenue generated per advertising dollar spent, indicating the profitability of ad campaigns at the bottom of the funnel
  • Customer retention rate: Percentage of retained customers over a specific period, measuring brand loyalty and post-purchase satisfaction

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reddit.com
u/semrush — 1 month ago

AI engines disagree on the same brand 22% of the time

When running an analysis, we tested 454 prompt-and-domain combinations across multiple engines. Each combination is one specific prompt paired with one specific domain. For example, the prompt “best CRM for small business” paired with hubspot.com, tested across each AI engine.

In 100 of the 454 (22%), the engines disagreed on whether to name the brand.

For example: 

  • Instagram.com was mentioned by ChatGPT and Gemini. Google AI Overviews cited it without naming it.
  • Facebook.com was named in three out of three Gemini appearances. Google AI cited Facebook nine out of nine times and named it once.

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reddit.com
u/semrush — 1 month ago

How content optimization drives SEO growth

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.

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reddit.com
u/semrush — 1 month ago

Middle of Funnel (MOFU): A Practical Guide to Nurturing Leads

Middle of funnel (MoFu)

The middle of the conversion funnel is where potential leads become more deeply engaged, and your goal is to nurture and guide leads toward becoming qualified customers. 

The challenge with the middle of the funnel is finding the right balance between the frequency and relevance of your communications to keep potential customers engaged without overwhelming them.

MoFu marketing tactics

MoFu marketing tactics are designed to nurture leads, build relationships, and guide potential customers further along the buyer journey. Tactics in the middle of the funnel tend to be less about broad awareness and more about direct engagement.

Here are some effective MoFu marketing tactics:

  • Email marketing nurture campaigns: Segment campaigns based on prospect actions. Someone who downloaded a comparison guide needs different follow-up than someone who attended a webinar. Track engagement rates by segment to identify which content moves prospects toward conversion.
  • Retargeting ads: Show ads to people who visited your site or engaged with your content to bring them back and continue the conversation
  • Demos and free trials: Provide hands-on experience with products or services. Demos showcase features and benefits, while free trials allow users to test the offering’s value. Both tactics reduce hesitations, foster trust, and encourage conversion by showing real value and usability.
  • Sales consultations: Offer one-on-one calls to understand specific needs, answer questions, and recommend tailored solutions
  • Live chat and chatbots: Engage prospects in real-time when they're actively browsing your site, answering questions and guiding them to relevant resources

MoFu content

Middle of funnel content focuses on nurturing leads, building relationships, and educating potential customers who have shown an initial interest.

Here are some well-suited types of content for the MoFu stage:

  • Case studies with measurable results: Prove you solve problems with specific metrics like "Company X reduced customer acquisition costs by 34% in 90 days." Structure case studies around likely objections: cost concerns, implementation time, technical complexity, or ROI uncertainty.
  • Classes or workshops: Host classes to engage potential customers. By providing valuable insights and solving challenges, these events establish authority, build trust, and guide attendees toward a purchase. 
  • Comparison guides: Educational content comparing many different products and solutions. These help prospects understand their options and evaluate what matters most for their needs without pushing a specific brand.
  • Educational webinars: Live or recorded demonstrations focused on specific use cases rather than feature dumps. "How to Reduce Cart Abandonment by 25%" attracts more qualified leads than "Product Feature Overview."
  • White papers and research reports: In-depth industry insights and data that establish authority, helping leads justify solutions internally and understand broader context
  • Interactive content (free tools, calculators, assessments, quizzes): Offer interactive tools that provide personalized results and individual needs to enhance engagement, educate users, and nudge them closer to conversion

MoFu metrics

MoFu metrics measure consideration-stage engagement, showing whether prospects are actively evaluating your solution and moving closer to a purchase decision.

Here are some metrics to measure on your MoFu content:

  • Email nurture engagement: Open rates, click rates, and replies to targeted email sequences — indicates whether consideration-stage content resonates and keeps prospects engaged over time
  • Gated content conversion rate: Percentage of visitors who access comparison guides, case studies, or product demos — measures how many prospects are ready to invest time evaluating your solution
  • Time spent on evaluation content: Average time on product pages, comparison guides, and case studies — shows depth of consideration and whether prospects are seriously evaluating features and benefits
  • Demo or trial requests: Number of prospects requesting product demonstrations or signing up for free trials — signals strong purchase intent and readiness to experience your solution firsthand
  • Return visitor rate: Percentage of prospects returning multiple times — tracks sustained interest and can indicate if users are actively comparing options before deciding

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reddit.com
u/semrush — 2 months ago

Why Some Sites Get Cited While Others Get Mentioned in AI Search

One of the patterns we found while analyzing AI search results is that mentions and citations don't always go hand in hand.

Among the domains that appeared most often in our data, aggregator and academic sites like Medium, Wikipedia, Wired, and Harvard tended to be cited but not named.

Brands with strong public identities showed the opposite pattern: they were named in AI answers, often without being cited as a source.

For example:

  • Google was named in AI answers nearly three times more often than it appeared as a source link.
  • Apple's brand name appeared in answers nearly twice as often as it was cited.
  • Medium was cited 16 times in our dataset and was never named in an AI answer.

https://preview.redd.it/009pm0j1no6h1.png?width=1887&format=png&auto=webp&s=624513c32b5e6a2bbc570d2a6dbf4b763eb9249f

What does this mean for measuring AI visibility?

If you're a publisher or research-focused site, citations may be the metric to watch. These sites were often used as sources even when they weren't explicitly named in answers.

If you're a consumer brand, track unlinked brand mentions on third-party websites alongside your backlinks. Brands were frequently named in answers without being cited.

AI engines mention brands they've already seen consistently across the web. PR, community discussions, and clear brand language all reinforce that familiarity.

reddit.com
u/semrush — 2 months ago

AI Traffic Grew 66% in 2025. It Still Accounts for Less Than 0.15% of Visits.

Web traffic is being reshuffled in the AI era.

But how exactly is the channel mix changing – and where is traffic going? To find out, we analyzed billions of web visits across over 50,000 websites and 17 industries.

Long story short: AI traffic grew 66% in 2025 and outpaced every other channel, but it still makes up less than 0.15% of total visits. Meanwhile, organic traffic declined across most industries we analyzed.

This study breaks down how traffic is being redistributed across channels, which industries are seeing the biggest changes, and what it means for where you should invest next.

https://preview.redd.it/xe4lo2yuf19h1.jpg?width=1797&format=pjpg&auto=webp&s=4e217456a05cfed2146aee9925526254bdee22f9

reddit.com
u/semrush — 2 months ago

Google unveils Gemini 3.5 Flash and a redesigned ‘intelligent Search box’

At Google I/O 2026, Google announced Gemini 3.5 Flash and a redesigned "intelligent Search box," and both are now live for all users.

The new Search box supports longer queries, images, videos, and file uploads. It also expands as you type and routes multimodal searches directly into AI Mode.

In other words, Google is encouraging users to search with more detailed, specific prompts instead of short keyword-style queries.

For marketers, that's a pretty important shift.

The fundamentals of SEO still matter. Crawlability, site structure, content quality, and backlinks aren't going anywhere.

But as Google continues moving toward AI-powered search experiences, visibility inside AI-generated responses matters alongside traditional organic rankings.

https://preview.redd.it/rd4sa3bgsu7h1.png?width=1416&format=png&auto=webp&s=f59e5e895d364432c4a900950fd37391a67516dd

How to stay visible

Optimizing for AI visibility starts with knowing where you stand.

Our AI Visibility Toolkit tracks citations, mentions, and visibility trends across AI platforms in one dashboard, so you can see where you're showing up and how you compare to competitors.

It's also worth confirming you aren't blocking AI crawlers. Semrush Site Audit flags these issues so you can fix them before they cut off your AI visibility potential.

What do you think?

Will this change how people search, or is Google adapting to behavior that's already happening in tools like ChatGPT and Gemini?

reddit.com
u/semrush — 2 months ago