web optimization 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 circumstances and actionable workflows to show Model Radar’s insights into measurable development on your model. Let’s dig in.
Not like conventional web optimization 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 tough 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 1000’s of prompts and responses throughout a number of AI search platforms.
As a substitute of solely monitoring what you already know, it offers you a database of potential alternatives and concepts, serving to you see new development angles as they emerge.
You may seek for particular manufacturers, merchandise, individuals, and/or matters to see how varied AI search platforms reply to them, whereas additionally uncovering contemporary alternatives you may not 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 actual 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 so on. |
| Analyze when and the way AI contains your content material in responses. | Response incorporates {your model} |
| See how typically AI solutions hyperlink to your content material. | Quotation incorporates {your area} |
| Analyze how typically a selected web page will get cited in AI responses. | Quotation incorporates {URL} |
| See how a whole content material hub or web site phase performs in AI search. | Quotation incorporates {path} |
| Discover branded content material gaps it’s good to fill, so that you management the reply. | Question OR response incorporates {your model} AND quotation doesn’t include {your area} |
| Discover when AI doesn’t suggest your model for a branded question. Uncommon scenario. Signifies a notion drawback. | Question incorporates {your model} AND response doesn’t include {your model} |
| Discover unbranded queries for which you will have robust visibility. | Question doesn’t include {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 include {your model} |
| Assess your matter protection in AI responses. | Question OR response incorporates {matter} AND quotation incorporates {your area} |
| Assess model gaps in opposition to rivals in AI responses. | Quotation doesn’t include {your area} AND quotation incorporates {competitor 1} OR {competitor 2} and so on. |
| Discover content material angles or niches in your trade that aren’t lined by established rivals. | Question incorporates {your matter/trade} AND quotation doesn’t include {your competitor’s area(s)} |
The mixtures are infinite. You may also nest filters inside filters by creating teams.
For example, in case you needed to examine queries that don’t embody your model and the place the response or quotation does, right here’s how you would set that up:
When you perceive how the filters work, the following step is placing them into motion.
10 Model Radar workflows you should utilize at present
Model Radar does greater than spot the place your model reveals up. It will possibly additionally aid you 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 means that you can analyze each.
Begin by coming into your model identify and benchmarking your present mentions, citations, impressions, and AI Share of Voice:
- Mentions are the variety of outcomes that point out the entity not less than as soon as.
- Citations are the AI outcomes that cite the entity not less than as soon as as a supply.
- Impressions are mentions which might be weighted by Google search quantity to estimate potential publicity.
- AI Share of Voice is the proportion of 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 ceaselessly point out your model of their responses.
You may also simply examine development in your model’s search demand and net visibility over time:
Should you handle a number of manufacturers, you possibly can add all of them to the model discipline 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.
One of the useful issues Model Radar does is aid you defend your narrative by checking how your model is definitely talked about in AI responses.
It’s essential to identify inaccuracies, outdated messaging, or destructive sentiment earlier than they unfold, and proper the sources shaping them.
For example, you possibly can examine for issues like:
- Incorrect firm particulars, like identify, deal with, or telephone quantity, pulled from outdated sources.
- Inconsistencies in model messaging, like previous 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 selection inside the response
You are able to do this by trying to find your model and navigating to the AI responses tab in Model Radar. Then, select the AI index you wish to analyze:
You’ll see an inventory of responses that appear to be this:
Should you see 1000’s of responses, it helps to filter them into smaller teams. For instance, you would look at:
- Queries containing your model to see what AI says about you on your branded searches.
- Queries containing a selected matter to see how strongly AI connects your model to the matter.
- Queries containing a competitor’s identify to see how typically AI recommends your model as an alternative of or alongside the competitor.
- Responses containing your model to see an inventory 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 incorrect 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 wish to analyze. You could discover that totally different patterns emerge for every platform.
AI visibility isn’t nearly whether or not your model reveals up. It’s additionally about what matters AI search platforms strongly affiliate you with.
Model Radar enables you to measure these connections by trying to find your model and key matters on the identical time:
It’s finest 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 linked to the subject of hybrid automobiles than SUVs (above) because it has the next AI Share of Voice and search demand:
You may also run a model search by itself and use the filters to evaluate issues like:
- Queries containing each your model and important matter. This helps you see what matters or product classes searchers strongly hook up with your model identify.
- Queries containing your model and responses containing a selected matter. This helps you see what matters AI techniques point out when speaking about your model.
- Queries containing the subject and responses containing your model. This helps you see what unbranded searches AI techniques choose your model to be a part of the reply.
You should use these insights to benchmark the matters you have already got a powerful affiliation with in AI solutions.
To benchmark your model’s AI visibility in opposition to rivals, search your model after which add a number of rivals like so:
You may also use our AI recommend characteristic to robotically populate your prime rivals:
The Overview tab will present your model in opposition to your rivals. You may assess every model’s AI visibility metrics like mentions, impressions, and AI Share of Voice.
You may also see a platform breakdown to evaluate visibility in any AI search instruments that matter most to you.
Whenever you click on into every platform, you’ll be capable of 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 reveals queries and/or responses that include all of the manufacturers you’re evaluating. It’s nice for assessing matters which might be prone to point out you alongside rivals.
- Others solely: This report reveals queries that solely point out the opposite manufacturers you’re evaluating in opposition to. It’s nice for locating matters that point out your rivals however not you.
These reviews present directional development over time and aid you determine rivals that could be gaining in AI visibility reasonably rapidly.
You may also use them to search out matter gaps the place rivals are talked about, however your model isn’t. Begin by including a subject to your search after which examine the AI Share of Voice of every model for the matter:
You may also go to the Others solely report back to see AI responses in regards to the matter that solely include your rivals to get a way of content material gaps it’s possible you’ll must fill.
Analyze the responses to see what matters, options, and attributes every model is linked to:
These AI responses are an incredible knowledge supply for analyzing your positioning in opposition to rivals and in addition seeing how LLMs view your model in comparison with theirs.
This offers you leverage. You’re not simply monitoring rivals, you’re recognizing the place to develop visibility earlier than they pull forward.
You may also try the Cited domains and Cited pages reviews to determine the highest sources mentioning every model:
These reviews present you the web sites which might be ceaselessly 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 potentialities right here, relying on what aggressive insights matter most to your stakeholders.
Model Radar can help your content material technique by:
- Figuring out pages or content material hubs that ought to be cited in AI responses however aren’t
- Discovering matter gaps in opposition to your rivals
- Uncovering untapped matters your rivals 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 selected URL:
This can present you all AI responses that cite this URL. To investigate a whole web site phase, use the path setting as an alternative.
Should you seek for particular pages which might be core to your model however they’re not being cited in lots of AI responses, this could possibly 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 may additionally use AI Content material Helper to take away any guesswork. Simply add the principle question you’d prefer to optimize the web page for and the web page URL.
Then, the software will aid you determine the most effective intent for the content material robotically:
Our staff has designed AI Content material Helper for the AI period. It makes use of related math and processes to AI serps.
For instance, it identifies associated fan-out queries and calculates cosine similarity for every matter. As you write, a coloured spotlight seems displaying you the way properly you cowl every matter in your content material:
Because you’ll be working with present content material on the reside web page, begin by assessing how self-contained every matter is. You could must reorganise the construction in case your matters are scattered all around 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 concept of beginning with an important info. People and AI serps prioritise introductory sentences, so don’t waste your phrases right here. Get straight to the purpose as an alternative.
You may also use Model Radar that can assist you uncover alternatives your rivals have but to write down about, increasing your topical protection.
Begin by coming into your important matter:
Then, try the queries and solutions for every AI search platform you care about displaying up on. Strive filtering the queries or responses to exclude your model and rivals.
You’ll be left with an inventory of untapped queries for which you’ll be able to create content material to extend your AI visibility earlier than your rivals. Pop these into AI Content material Helper to get instantaneous content material roadmaps you possibly can ship to your writers immediately.
There are two methods to search out your hottest pages getting talked about in AI responses.
The primary is in Model Radar and is right if in case you have not arrange AI monitoring in your net analytics software. Enter your model identify and navigate to the Cited domains report.
Sidenote.
You may also run a clean seek for this course of. By including your model identify, you pre-filter the database to indicate you high-intent, related queries and responses that include your model identify.
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 it’s possible you’ll 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 underneath “Pages” on your web site:
Should you ran a clean search, strive utilizing the Area identify filter (underneath the graph) to slender your search:
Both means, you’ll find yourself with an inventory of pages in your web site that present up in AI responses ranked in descending order.
The second technique is to examine your analytics software in opposition to this listing to see which pages individuals click on on from AI platforms. Simply since you’re cited in AI responses doesn’t imply individuals will click on the pages.
You should use instruments like Ahrefs’ Net Analytics to get this knowledge.
What you’re in search of is an inventory of the highest pages visited most from AI platforms:
Cross-check these pages in opposition to these in Model Radar. For every one, examine the responses the web page is cited in:
That means, you possibly can determine the patterns of queries and responses that result in greater click-through charges to your web site from AI searches.
You may repeat this course of for every AI index to determine click-through patterns between AI Overviews, ChatGPT, and so on.
Totally different AI platforms choose various kinds 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, software 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 ceaselessly cited for the subject. As soon as you realize the codecs AI leans on, you possibly can adapt your content material technique to match.
The objective 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 may simply measure the expansion or decline of your model mentions across the net in Model Radar’s Net Visibility reviews:
This report reveals you all of the locations across the net the place your model is talked about. By checking the Net pages report, you’ll get a full listing of the precise pages and your model point out inside them.
It’s value analyzing your model mentions on different web sites for just a few causes:
- Replace outdated details about your model
- Present appropriate info to reduce inaccurate responses in AI search
- Discover potential partnership alternatives with websites that ceaselessly point out you positively
- Assess normal model sentiment across the net (optimistic, impartial, destructive mentions)
- Get your model talked about carefully to your most popular matters or different large manufacturers in your trade
As a low-hanging fruit alternative, you would additionally try the Cited domains and Cited pages reviews to search 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 impression on how your model is represented in AI responses. That is essential to observe 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 ceaselessly 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 useful than on pages that aren’t being cited in AI responses. Not solely are AI search platforms ceaselessly referencing this content material, however they’re additionally utilizing it to summarize details about your model.
Generally, the web sites cited greater than yours are chosen as a result of they’ve comparability content material or suggest the most effective instruments for varied conditions:
When you received’t be capable of management all the details about your model on third occasion websites, you possibly can not less than determine patterns and determine why AI responses could embody misinformation about you.
And, the place attainable, attain out to make your on-line model footprint extra constant, one point out at a time.
Should you create new content material or wish to increase the visibility of particular pages in your web site, it could assist to get extra hyperlinks on to these pages.
Through the years I’ve spent auditing web sites and their web optimization 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 could 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:
Should you see your content material displaying up within the outcomes, do a fast audit to make sure info accuracy and freshness. Additionally be sure that to improve the enterprise worth inside the content material by including your most essential product options and analysis.
Should 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 staff (if your organization has one) to align on-line model visibility efforts.
On the subject of user-generated content material, like on boards and social media, you would take into account becoming a member of the conversations that ceaselessly get cited in AI responses.
For instance, you should utilize the domains filter to get an inventory of all subreddits:
You may also search for mentions of competing merchandise and purpose to hitch the conversations to lift extra consciousness of your product.
Simply don’t overdo it, many of those communities dislike apparent model promotions.
Should you do wish to add a powerful promotional message in these areas, take into account paying for advert actual property. Whereas it could circuitously assist with visibility in AI responses, it’s going to 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 persons are trying to find your model in AI search.
Enter your model identify after which head to the Search demand tab.
The search quantity graph reveals whether or not search demand is rising primarily based on what number of branded searches happen over time.
Rising search quantity signifies extra persons are in search of your model. Rising search question depend reveals 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 individuals use. It will likely be pre-filtered to indicate queries that include your model identify:
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 reviews each infrequently and monitor new branded queries which might be being searched on totally different platforms.
Subsequent, benchmark and monitor visibility in opposition to rivals.
Add your prime rivals to the search and head to the Overview tab:
Right here you possibly can monitor your AI Share of Voice alongside prime rivals.
You may also add particular matters you want to monitor over time to see how a lot share you seize in that area or whether or not you’re dropping visibility to rivals.
By monitoring demand, mentions, and share developments over time, you possibly can refine your technique and join AI visibility to broader advertising impression.
Take management of your AI visibility with Ahrefs’ Model Radar
Staying seen in AI search isn’t a one-time process, it’s a self-discipline.
By repeatedly monitoring demand, mentions, and share of voice, you possibly can adapt your technique and guarantee your model shapes the narrative the place individuals search.
Able to see how your model stacks up? Discover Model Radar and begin turning AI visibility into measurable development at present.
