search engine optimisation has undeniably modified. To remain discoverable in search, AI, and past, manufacturers now want to trace visibility in AI Overviews, chatbots, and LLM responses.
And that’s the place Ahrefs’ Model Radar comes in.
It’s one of many fastest-growing instruments in AI model visibility, with 100M+ prompts, 6+ AI indexes, and requires zero setup.
Beneath, I share my favourite use instances and actionable workflows to show Model Radar’s insights into measurable development on your model. Let’s dig in.
Not like conventional search engine optimisation metrics, AI solutions are non-deterministic—they modify from question to question, and even the identical immediate can return totally different citations every time.
That makes it troublesome to trace model visibility in AI search manually.
Most AI instruments solely allow you to monitor a handful of prompts to see how outcomes shift over time. Model Radar goes additional: it aggregates hundreds of prompts and responses throughout a number of AI search platforms.
As a substitute of solely monitoring what you already know, it provides you a database of potential alternatives and concepts, serving to you see new development angles as they emerge.
You’ll be able to seek for particular manufacturers, merchandise, folks, and/or matters to see how numerous AI search platforms reply to them, whereas additionally uncovering contemporary alternatives you won’t have thought to examine.
However, on the core of Model Radar are filters. That is the place the magic occurs.
The filters allow you to isolate precise situations the place the entity you searched seems or the place it doesn’t however ought to. For instance:
| Use case | Filter settings |
|---|---|
| Get stats about solely your branded searches. | Question incorporates {your model} |
| Get stats about all of your manufacturers and sub-brands. | Question incorporates {your model} AND {sub-brand 1} AND {sub-brand 2} and many others. |
| Analyze when and the way AI consists of your content material in responses. | Response incorporates {your model} |
| See how usually AI solutions hyperlink to your content material. | Quotation incorporates {your area} |
| Analyze how usually a specific web page will get cited in AI responses. | Quotation incorporates {URL} |
| See how a complete content material hub or web site phase performs in AI search. | Quotation incorporates {path} |
| Discover branded content material gaps you have to fill, so that you management the reply. | Question OR response incorporates {your model} AND quotation doesn’t comprise {your area} |
| Discover when AI doesn’t advocate your model for a branded question. Uncommon state of affairs. Signifies a notion drawback. | Question incorporates {your model} AND response doesn’t comprise {your model} |
| Discover unbranded queries for which you could have sturdy visibility. | Question doesn’t comprise {your model} AND response OR quotation incorporates {your model} |
| Uncover unbranded matters that AI strongly connects to your model. | Quotation incorporates {your area} AND response AND question don’t comprise {your model} |
| Assess your matter protection in AI responses. | Question OR response incorporates {matter} AND quotation incorporates {your area} |
| Assess model gaps towards opponents in AI responses. | Quotation doesn’t comprise {your area} AND quotation incorporates {competitor 1} OR {competitor 2} and many others. |
| Discover content material angles or niches in your trade that aren’t lined by established opponents. | Question incorporates {your matter/trade} AND quotation doesn’t comprise {your competitor’s area(s)} |
The combos are limitless. You can too nest filters inside filters by creating teams.
As an illustration, in case you needed to examine queries that don’t embrace your model and the place the response or quotation does, right here’s how you may set that up:
When you perceive how the filters work, the following step is placing them into motion.
10 Model Radar workflows you need to use right this moment
Model Radar does greater than spot the place your model exhibits up. It may possibly additionally show you how to flip these insights into workflows that enhance visibility, shut gaps, and strengthen your aggressive place in AI search.
Beneath are ten sensible methods to do precisely that.
When auditing your model for efficiency in AI search, you’ll must assess each the end result (mentions in AI responses) and the causes (model searches and visibility throughout the net).
Model Radar lets you analyze each.
Begin by getting into your model title and benchmarking your present mentions, citations, impressions, and AI Share of Voice:
- Mentions are the variety of outcomes that point out the entity no less than as soon as.
- Citations are the AI outcomes that cite the entity no less than as soon as as a supply.
- Impressions are mentions which can be weighted by Google search quantity to estimate potential publicity.
- AI Share of Voice is the share of brand name impressions out of the full impressions for responses that point out any tracked model.
You are able to do this throughout 6+ AI indexes, like AI Overviews, ChatGPT, and Perplexity, to see which platforms continuously point out your model of their responses.
You can too simply examine development in your model’s search demand and net visibility over time:
In the event you handle a number of manufacturers, you possibly can add all of them to the model subject to trace them as a bunch and get their mixed metrics:
These stats are nice for getting directional suggestions on whether or not your model’s visibility is rising or declining in AI search.
Some of the beneficial issues Model Radar does is show you how to shield your narrative by checking how your model is definitely talked about in AI responses.
It’s vital to identify inaccuracies, outdated messaging, or damaging sentiment earlier than they unfold, and proper the sources shaping them.
As an illustration, you possibly can examine for issues like:
- Incorrect firm particulars, like title, tackle, or telephone quantity, pulled from outdated sources.
- Inconsistencies in model messaging, like outdated taglines or content material from previous web site designs.
- Model sentiment, like whether or not your model is talked about positively or negatively.
- How excessive up your model is talked about inside the response
- What number of different manufacturers are additionally talked about within the response
- Whether or not your model stands out as a transparent alternative inside the response
You are able to do this by looking for your model and navigating to the AI responses tab in Model Radar. Then, select the AI index you need to analyze:
You’ll see a listing of responses that seem like this:
In the event you see hundreds of responses, it helps to filter them into smaller teams. For instance, you may look at:
- Queries containing your model to see what AI says about you on your branded searches.
- Queries containing a particular matter to see how strongly AI connects your model to the matter.
- Queries containing a competitor’s title to see how usually AI recommends your model as an alternative of or alongside the competitor.
- Responses containing your model to see a listing of all queries (together with unbranded) you present up for.
- Citations containing your web site, even when the question or response doesn’t point out your model.
Search for patterns in what AI solutions say about you, particularly once they get issues improper or when your branding is inconsistent. It helps to listing these queries and the sources cited so you possibly can overcome misinformation and model inconsistencies.
Repeat this course of for each AI search platform you need to analyze. You might discover that totally different patterns emerge for every platform.
AI visibility isn’t nearly whether or not your model exhibits up. It’s additionally about what matters AI search platforms strongly affiliate you with.
Model Radar allows you to measure these connections by looking for your model and key matters on the identical time:
It’s greatest to seek for one matter at a time to gauge the power of your model’s connection.
For instance, inside AI search, Toyota is extra strongly related to the subject of hybrid vehicles than SUVs (above) because it has the next AI Share of Voice and search demand:
You can too run a model search by itself and use the filters to evaluate issues like:
- Queries containing each your model and most important matter. This helps you see what matters or product classes searchers strongly connect with your model title.
- Queries containing your model and responses containing a particular matter. This helps you see what matters AI programs point out when speaking about your model.
- Queries containing the subject and responses containing your model. This helps you see what unbranded searches AI programs choose your model to be a part of the reply.
You should utilize these insights to benchmark the matters you have already got a robust affiliation with in AI solutions.
To benchmark your model’s AI visibility towards opponents, search your model after which add a number of opponents like so:
You can too use our AI counsel characteristic to mechanically populate your prime opponents:
The Overview tab will present your model towards your opponents. You’ll be able to assess every model’s AI visibility metrics like mentions, impressions, and AI Share of Voice.
You can too see a platform breakdown to evaluate visibility in any AI search instruments that matter most to you.
While you click on into every platform, you’ll have the ability to entry the precise AI responses and queries that point out every model:
- Solely model: This report will present you queries and AI solutions the place the one model talked about is the one you’ve chosen. It’s nice for assessing brand-specific queries and responses.
- With others: This report exhibits queries and/or responses that comprise all of the manufacturers you’re evaluating. It’s nice for assessing matters which can be prone to point out you alongside opponents.
- Others solely: This report exhibits queries that solely point out the opposite manufacturers you’re evaluating towards. It’s nice for locating matters that point out your opponents however not you.
These experiences present directional development over time and show you how to establish opponents that could be gaining in AI visibility somewhat rapidly.
You can too use them to seek out matter gaps the place opponents are talked about, however your model isn’t. Begin by including a subject to your search after which evaluate the AI Share of Voice of every model for the matter:
You can too go to the Others solely report back to see AI responses in regards to the matter that solely comprise your opponents to get a way of content material gaps you might must fill.
Analyze the responses to see what matters, options, and attributes every model is related to:
These AI responses are an important information supply for analyzing your positioning towards opponents and likewise seeing how LLMs view your model in comparison with theirs.
This provides you leverage. You’re not simply monitoring opponents, you’re recognizing the place to increase visibility earlier than they pull forward.
You can too try the Cited domains and Cited pages experiences to establish the highest sources mentioning every model:
These experiences present you the web sites which can be continuously cited in AI responses and the way seen every model is inside them. Search for sources that point out your competitor greater than you and see how one can improve your mentions inside them, too.
There are such a lot of prospects right here, relying on what aggressive insights matter most to your stakeholders.
Model Radar can assist your content material technique by:
- Figuring out pages or content material hubs that needs to be cited in AI responses however aren’t
- Discovering matter gaps towards your opponents
- Uncovering untapped matters your opponents have but to find
For instance, you possibly can run a clean search in Model Radar by leaving all fields empty. Then, use the quotation filter and add a particular URL:
It will present you all AI responses that cite this URL. To research a complete web site phase, use the path setting as an alternative.
In the event you seek for particular pages which can be core to your model however they’re not being cited in lots of AI responses, this might be a possibility to rewrite the content material and optimize it higher for AI visibility.
Optimize the pages with:
- Clearer, extra direct writing
- Utilizing BLUF (backside line up entrance)
- Hierarchical heading construction
- Declarative sentences
You possibly can additionally use AI Content material Helper to take away any guesswork. Simply add the principle question you’d wish to optimize the web page for and the web page URL.
Then, the device will show you how to establish the perfect intent for the content material mechanically:
Our workforce has designed AI Content material Helper for the AI period. It makes use of related math and processes to AI search engines like google and yahoo.
For instance, it identifies associated fan-out queries and calculates cosine similarity for every matter. As you write, a coloured spotlight seems exhibiting you ways properly you cowl every matter in your content material:
Because you’ll be working with current content material on the dwell web page, begin by assessing how self-contained every matter is. You might must reorganise the construction in case your matters are scattered everywhere in the place.
When you’ve contained sections on like matters collectively, then work on rewriting them for readability.
That’s the place beginning with the backside line up entrance helps. It’s the thought of beginning with an important info. People and AI search engines like google and yahoo prioritise introductory sentences, so don’t waste your phrases right here. Get straight to the purpose as an alternative.
You can too use Model Radar that can assist you uncover alternatives your opponents have but to jot down about, increasing your topical protection.
Begin by getting into your most important matter:
Then, try the queries and solutions for every AI search platform you care about exhibiting up on. Attempt filtering the queries or responses to exclude your model and opponents.
You’ll be left with a listing of untapped queries for which you’ll create content material to extend your AI visibility earlier than your opponents. Pop these into AI Content material Helper to get immediate content material roadmaps you possibly can ship to your writers immediately.
There are two methods to seek out your hottest pages getting talked about in AI responses.
The primary is in Model Radar and is good in case you have not arrange AI monitoring in your net analytics device. Enter your model title and navigate to the Cited domains report.
Sidenote.
You can too run a clean seek for this course of. By including your model title, you pre-filter the database to point out you high-intent, related queries and responses that comprise your model title.
By working a clean search, you will note all AI queries and responses in our database that cite your area (when you observe the following steps), making certain you don’t miss something. However you might discover extra outcomes that appear irrelevant or of weaker intent.
Scroll till you see the listing of all domains and click on on the worth beneath “Pages” on your web site:
In the event you ran a clean search, strive utilizing the Area title filter (beneath the graph) to slender your search:
Both approach, you’ll find yourself with a listing of pages in your web site that present up in AI responses ranked in descending order.
The second methodology is to examine your analytics device towards this listing to see which pages folks click on on from AI platforms. Simply since you’re cited in AI responses doesn’t imply folks will click on the pages.
You should utilize instruments like Ahrefs’ Internet Analytics to get this information.
What you’re in search of is a listing of the highest pages visited most from AI platforms:
Cross-check these pages towards these in Model Radar. For every one, examine the responses the web page is cited in:
That approach, you possibly can establish the patterns of queries and responses that result in larger click-through charges to your web site from AI searches.
You’ll be able to repeat this course of for every AI index to establish click-through patterns between AI Overviews, ChatGPT, and so on.
Totally different AI platforms favor several types of content material. With Model Radar, you possibly can analyze cited pages to see which codecs dominate on your matter — whether or not it’s statistics posts, lists, professional guides, device comparisons, or unique analysis.
To seek out these, seek for both your model, a competitor, or a subject. Then, try the Cited pages report:
Search for patterns in the kind of content material that’s most continuously cited for the subject. As soon as you already know the codecs AI leans on, you possibly can adapt your content material technique to match.
The purpose is to align your content material with what AI already trusts, so your model has the next likelihood of being cited, and so you keep management over the narrative in AI-generated responses.
You’ll be able to simply measure the expansion or decline of your model mentions across the net in Model Radar’s Internet Visibility experiences:
This report exhibits you all of the locations across the net the place your model is talked about. By checking the Internet pages report, you’ll get a full listing of the precise pages and your model point out inside them.
It’s price analyzing your model mentions on different web sites for a number of causes:
- Replace outdated details about your model
- Present right info to reduce inaccurate responses in AI search
- Discover potential partnership alternatives with websites that continuously point out you positively
- Assess normal model sentiment across the net (optimistic, impartial, damaging mentions)
- Get your model talked about carefully to your most popular matters or different huge manufacturers in your trade
As a low-hanging fruit alternative, you may additionally try the Cited domains and Cited pages experiences to seek out pages that each point out your model and get cited most in AI solutions.
Your model mentions on these pages make an even bigger influence on how your model is represented in AI responses. That is vital to watch as a result of most AI citations on your model come from third-party web sites, not your personal.
For instance, in AI Overviews, Zapier, YouTube, and Reddit are cited extra continuously for queries about Ahrefs than our personal web site:
Sixteen pages on Zapier’s web site that point out Ahrefs is all it takes to be cited in 1,431 AI responses that additionally point out Ahrefs.
The model mentions on these pages are extra beneficial than on pages that aren’t being cited in AI responses. Not solely are AI search platforms continuously referencing this content material, however they’re additionally utilizing it to summarize details about your model.
Typically, the web sites cited greater than yours are chosen as a result of they’ve comparability content material or advocate the perfect instruments for numerous conditions:
When you received’t have the ability to management all the details about your model on third get together websites, you possibly can no less than establish patterns and work out why AI responses could embrace misinformation about you.
And, the place attainable, attain out to make your on-line model footprint extra constant, one point out at a time.
In the event you create new content material or need to increase the visibility of particular pages in your web site, it may assist to get extra hyperlinks on to these pages.
Through the years I’ve spent auditing web sites and their search engine optimisation visibility, many websites have had only a few hyperlinks to inside pages, preferring to advertise the homepage most. Whereas that’s nice for model visibility, it may result in gaps in matter alignment and authority.
To shut these gaps, run a subject search in Model Radar and take a look at the Cited pages report:
In the event you see your content material exhibiting up within the outcomes, do a fast audit to make sure info accuracy and freshness. Additionally ensure that to improve the enterprise worth inside the content material by including your most vital product options and analysis.
In the event you see another person’s content material, add it to your outreach prospecting listing to get talked about inside the content material. It additionally helps to work with the PR workforce (if your organization has one) to align on-line model visibility efforts.
Relating to user-generated content material, like on boards and social media, you may think about becoming a member of the conversations that continuously get cited in AI responses.
For instance, you need to use the domains filter to get a listing of all subreddits:
You can too search for mentions of competing merchandise and purpose to affix the conversations to lift extra consciousness of your product.
Simply don’t overdo it, many of those communities dislike apparent model promotions.
In the event you do need to add a robust promotional message in these areas, think about paying for advert actual property. Whereas it might circuitously assist with visibility in AI responses, it’ll get you in entrance of recent audiences who try the thread as a result of it’s been cited in conventional and AI search outcomes.
Begin by monitoring whether or not individuals are looking for your model in AI search.
Enter your model title after which head to the Search demand tab.
The search quantity graph exhibits whether or not search demand is rising based mostly on what number of branded searches happen over time.
Rising search quantity signifies extra individuals are in search of your model. Rising search question depend exhibits key phrase breadth the place customers are asking extra numerous questions on you, from long-tail queries to feature-specific searches.
Drill down into the Search queries report back to see the precise branded key phrases folks use. It will likely be pre-filtered to point out queries that comprise your model title:
This reveals how audiences body questions on your product, which options get consideration, and what associations they’re making along with your model.
Take a look at these experiences each infrequently and monitor new branded queries which can be being searched on totally different platforms.
Subsequent, benchmark and monitor visibility towards opponents.
Add your prime opponents to the search and head to the Overview tab:
Right here you possibly can monitor your AI Share of Voice alongside prime opponents.
You can too add particular matters you want to monitor over time to see how a lot share you seize in that house or whether or not you’re shedding visibility to opponents.
By monitoring demand, mentions, and share developments over time, you possibly can refine your technique and join AI visibility to broader advertising and marketing influence.
Take management of your AI visibility with Ahrefs’ Model Radar
Staying seen in AI search isn’t a one-time job, it’s a self-discipline.
By constantly monitoring demand, mentions, and share of voice, you possibly can adapt your technique and guarantee your model shapes the narrative the place folks search.
Able to see how your model stacks up? Discover Model Radar and begin turning AI visibility into measurable development right this moment.
