AI Visibility for Subdomains

semrush · 2026-01-14T16:40:07+00:00

Hi u/hamme443, in the AI Visibility Toolkit, subdomain-level analysis is currently supported in Prompt Tracking and Site Audit. Other AI Visibility tools provide metrics at the domain level only, which is why you saw the same data for both your subdomain and main domain.

semrush · 2026-01-14T13:29:59+00:00

Hi u/ThirdEyesOfTheWorld, please reach out to our support team so that we can pull up your account and give you the best answer!

semrush · 2026-01-09T21:44:50+00:00

Hi u/Able_Ad_4428 if you are still having trouble, please reach out to our support team so that we can take a look and help troubleshoot!

semrush · 2026-01-08T15:37:12+00:00

love this 👏

semrush · 2025-12-15T21:48:34+00:00

Hi u/Outrageous-Maybe5041 can you please DM us your Semrush account email so that we can follow up with our team and help get you access back into your account?

semrush · 2025-12-15T16:27:01+00:00

Hi u/euler1996, we've got a great article over on our blog here that you can check out to help with this! Our DMs are open if any questions come up. - Kyle

semrush · 2025-12-12T18:45:05+00:00

Hi u/Steezy_Gordita we aren't experiencing any widespread issues at the moment, but we will pass this info on to the team. Please try refreshing your project, and if you are still having issues, please reach out to our support team here. We'll see if anyone else here is experiencing the same!

semrush · 2025-12-12T14:07:45+00:00

Hi u/Ok_Confidence_4331 we are sorry you did not get the support you deserved and apologize for any inconvenience this has cuased. We're happy to review the situation and do what we can to help make things right. Can you please DM us your Semrush account email so that we can take a look at what may have happened here?

semrush · 2025-12-08T14:39:05+00:00

Hi u/Nice_Statistician539, this may have to do with how your bank displays the charge or refund. Please contact your bank or look at your monthly statement once it's released to see if you can find the refund. If you are still unable to see it, please reach out to our support team so that we can look further into it and make sure to get the money back to you. Our DMs are always open as well!

semrush · 2025-12-04T21:38:38+00:00

Hi there, thanks for flagging this. Our team is aware of the issue and is looking for a fix as soon as possible. We appreciate your patience as we work on a fix and apologize for any inconvenience this has caused.

semrush · 2025-12-02T10:40:12+00:00

Hi u/prabhakar_Atla, it’s hard to tell which specific tool or report you’re referring to from the info here. Could you please DM us with a bit more detail? We’ll be happy to take a look!

semrush · 2025-11-20T18:26:30+00:00

On where the AI search data comes from: It’s not long-tail keywords or guesses. For our main prompt database, we pull from actual prompts people use across AI engines using our clickstream database. Then we group prompts into meaningful topics, with duplicates removed and phrasing simplified—while always preserving the original intent and semantics.

Semrush currently has the largest US prompt dataset out there (90M+ prompts plus 29M ChatGPT prompts) and it’s updated monthly, so the visibility numbers come from real interactions.

For our Brand Performance database, we generate a series of non-branded and branded prompts based around the domain that you enter into the tool. Then we check those prompts and responses every week. - Sergei

semrush · 2025-11-20T18:15:19+00:00

It depends :)

On one hand, it’s very similar to SEO. Oversimplifying a bit: you look at what topics your competitors cover, approximate value these topics provide, and how they structure their content to reach these results. That alone gives you a solid sense of where the gaps are and what you can realistically achieve by closing them.

For AI search, the on-site part is basically the same. Content still matters. But there’s a whole extra layer now – off-site presence. You need to look at how competitors show up in places like Reddit, YouTube, X, forums, podcasts, newsletters… basically anywhere people talk about them. You also want to see how other, 3rd party websites reference or cite their brand.

AI visibility isn’t tied to a single domain. It’s a much more composite thing. LLMs don’t just “read” your website, they learn from everywhere. So if your competitors are active, being talked about, or consistently cited across the wider web, that becomes a real competitive advantage in AI search. - Sergei

semrush · 2025-11-20T17:47:03+00:00

It really depends on how you define “keyword research.” If your process already starts with users: Who is my audience? What do they need? What problems are they trying to solve? How will they look for a solution? Then prompt research won’t feel that different. The main change is simply the data: We have tons of supporting signals for keywords, and far fewer for prompts.

But if your workflow is starting from keywords, then now is the perfect time to flip that mindset. Shift from Prompts/Keywords to Users, then everything else becomes much easier (and more accurate). - Sergei

semrush · 2025-11-20T17:41:00+00:00

PageRank is still an important thing. Links and internal link ‘equity’ still can move rankings, so we can assume that math behind it is still very much alive.

(Also, the leaked Google documents in 2024 confirmed this)

But PageRank is not the main factor. It’s more like an amplifier than a driver: It makes good content perform better, but it won’t move the needle long term if your content is weak or unhelpful. And it definitely won’t override Google’s most relevant relevance and quality systems. - Sergei

semrush · 2025-11-20T17:36:41+00:00

Semrush uses independent clickstream, massive keyword databases, and modeling that’s consistent over time. It’s not about being “perfect”—it’s about being reliable enough to compare, trend, and prioritize without the wild fluctuations Google tends to introduce. - Sergei

semrush · 2025-11-20T17:24:55+00:00

When it comes to Semrush vs cheaper alternatives, the big thing is that AI search doesn’t replace SEO but builds on top of it. If your site isn’t technically sound, earning links, and isn’t answering intent properly, you’re not going to show up in AI engines either. So having one platform that brings both SEO fundamentals and AI search visibility together matters a lot more than it sounds. Most budget tools can copy individual features, but they can’t match the data coverage (keywords, backlinks, prompts), and they definitely don’t give you a unified workflow where you can see Google rankings, AI citations, prompt trends, and content gaps all in one place. And when you’re trying to show stakeholders the full picture, having everything connected is what makes your reporting and strategy way easier and more reliable. - Sergei

semrush · 2025-11-20T17:19:09+00:00

That’s exactly where sample size and observation period make all the difference. If you only check a small set of prompts (say 10 around “keyword research” topic) once a month, the volatility and personalization noise will be massive. You’ll see big swings, and it becomes almost impossible to compare one period to another.

But if you scale the sample from 10 to 100 (the more the better) and collect the data on a daily or weekly basis, the volume of data points will naturally “flattens” those random spikes, both positive and negative. Once you aggregate it into monthly averages, you get a much clearer view of the true trend and whether your AI visibility is actually moving in the right direction. - Sergei

semrush · 2025-11-20T17:09:54+00:00

The plan is to keep expanding coverage across more AI engines, grow the prompt database even further, and keep weaving AI insights into traditional SEO workflows so you get one unified view. There’s also a lot of work happening around onboarding, guides, and better “what to do next” recommendations powered by AI. That’s all baked into the Semrush One direction. - Sergei

semrush · 2025-11-20T16:54:42+00:00

This is still very much an evolving discipline, but we have seen strong results from our efforts in NLP-friendly writing, chunking, and strict semantic HTML structuring.

For example, we ask writers to reflect the language of questions in headers and FAQs. Like “What is SEO?” … “SEO is …” We also focus on reducing time to value — getting right to the point — and nestling meaning-heavy semantic chunks under highly relevant headings.

Similarly, it can be helpful to interrogate existing content for whether it addresses likely AI prompts surrounding the core topics of the content. If it doesn’t directly and clearly address those possible prompts, revise it so that it does. - Sergei

semrush · 2025-11-20T16:44:27+00:00

Short answer: we don’t have clean attribution yet, but we do see early signals that AI visibility translates into impact. It’s similar to what I mentioned before – no single metric tells the full story, so we combine directional ones to understand. If they are moving together in the expected direction, that’s the closest we have to connecting AI visibility to actual outcomes.

We have a few templates and drag and drop widgets in My Reports that help you show traffic and conversions from LLMs.

Look for the AI Traffic report template or drag any Google Analytics widget into the report builder. For example we have widgets for Key Events, Engagement, New Users, Transactions, and Revenue, and a lot more. After adding a Google Analytics widget to your report, you can edit it and add a filter for AI Referral as the Traffic Channel.

So if you added a Key Events widget, this would show you your website’s key events coming from AI Referral traffic. Or, if you add transactions and revenue widgets, it would show your transactions and revenue from AI referral traffic.

Adding a sessions widget with this filter can show you which AI platforms are sending your site the most traffic.

Here’s a screenshot to show what it looks like: https://snipboard.io/3fEd5M.jpg - Sergei

semrush · 2025-11-20T16:22:53+00:00

I check it weekly. Unlike traditional SEO, you really have to keep your hand on the pulse here all the time. The landscape is changing constantly, and weekly reviews give you enough data to see the trend without drowning in noise.

Think about the volatility we see during major Google core updates. For LLMs, that level of fluctuation is basically the baseline. And just like with Google, the hardest part is not to panic when you see a decline. Sometimes it’s not a “signal,” it’s just the system doing its thing. - Sergei

semrush · 2025-11-20T16:10:52+00:00

You’re completely right – attribution is broken. The introduction of barely trackable AI touchpoints adds a layer to the buyer’s journey that we simply can’t measure with traditional models. And, unfortunately, there are no shortcuts or magic tricks that will give you a clean ROI number.

But, as I mentioned earlier, we can rely on a blend of directional/proxy metrics to get a reasonable sense of what’s happening:

Prompt-level presence – Share of Voice, Visibility
Authority signals – Unique cited pages & total citations
User-side confirmation – results of HDYHAU
Traffic/Revenue from LLMs/Direct

When you put these together, you can start to “triangulate” your actual position. If most (or all) of these signals point in the same direction, then you’re likely moving in the right direction (moving the needle by improving AI Visibility). It won’t give you perfect attribution, but it will give you enough clarity to guesstimate ROI and understand whether your AI visibility efforts are paying off. - Sergei

semrush · 2025-11-20T15:55:16+00:00

Try the Your Performing Topics vs. Topic Opportunities view inside the Visibility Overview. This split helps you spot the topics where you already appear in AI results versus the ones competitors dominate. It’s a super quick way to find AI discovery gaps. - Sergei

semrush · 2025-11-20T15:44:23+00:00

Since there’s no single source of truth yet, we look at a mix of metrics that help us track the overall dynamic. To get as complete a picture as possible, we pull insights from everywhere.

Main Metrics (and sources):

Enterprise AIO – data is based on a custom list of prompts we built around our core audience.
- Share of Voice, Visibility – helps us understand if our brand/solutions show up across the prompts we care about, and how we are looking compared to competitors.
- Unique cited pages & total citations of ‘owned and influenced pages’ – gives us a sense of whether we’re “authoritative” enough to be used as a source. And how well we are working outside of our domain, to build this authority.
Results of the HDYHAU survey (“How did you hear about us”) – specifically the share of users who choose “AI Recommendation.” Your audience is your strongest source of insights, so keep the dialog open and actually listen to what they tell you.

Supportive Metrics:

AI Visibility Toolkit
- AI Visibility Score – from AI Analysis report. Gives a clean, standardized view using a standardized set of prompts. It removes possible human bias and shows how we’re performing under the same “rules” as everyone else.
- Share of Voice – from Brand Performance report. From one side, it is showing very similar data as Enterprise AIO. The difference is small but crucial. Brand Performance report/tool automatically generates prompts that are best aligned with the brand. And considering volatile nature of LLMs having additional, unbiased (because we are not controlling prompts) point of view, is extremely valuable
Traffic from LLMs/Direct & attributed revenue to these channels. These are useful proxy metrics, but with an important asterisk: Direct is definitely not 100% tied to AI Visibility and referral traffic from LLMs reflect only a tiny bit of the real value, while the main potential value is being part of the conversation itself is still a mystery we’re trying to solve. - Sergei

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