Semrush helps you discover gaps in your AI visibility by figuring out subjects, sources, and narrative themes the place rivals get talked about in AI solutions however your model does not.
The method is just like search engine optimisation competitor evaluation. You discover the place rivals are profitable and shut the hole.
The Semrush AI Visibility Toolkit (out there with Semrush One) helps you do exactly that.
Right here’s the best way to get began.
1. Discover Subjects The place Your Model is Lacking with the Competitor Analysis Report
The Competitor Research report identifies subjects and prompts the place your rivals seem in AI-generated solutions however your model does not.
Begin by launching “Competitor Analysis” inside Semrush’s AI Visibility Toolkit.
Enter your website’s URL with as much as 4 rivals. In the event you’re uncertain who to trace, Semrush will counsel prime rivals based mostly in your area.
Then, click on “Run competitor evaluation.”
You may see a benchmark overview evaluating your model’s AI visibility towards rivals’ throughout a number of AI platforms.
This contains:
- AI Visibility: A benchmark rating (0–100) that measures how prominently and reliably a model is featured in related AI-generated solutions.
- Viewers: An estimate of the model’s whole AI attain/publicity based mostly on the quantity of all of the prompts and subjects the place the model is talked about.
- Mentions: The uncooked whole rely of distinctive prompts the place your model title seems within the textual content of the AI response.
Use the dropdown on the prime to filter by a particular AI platform:
- ChatGPT
- Gemini
- Google AI Overviews
- Google AI Mode
To seek out particular subject gaps, scroll all the way down to the “Subjects & Prompts” part.
You’ll see an inventory of thematic clusters which you can kind based mostly on every model’s mentions. You’ll additionally be capable of examine the estimated AI Volume for every subject.
Use this metric as a information to prioritize which subjects characterize the largest alternatives.
To discover particular prompts, click on any subject within the desk.
Use the “Lacking” filter for subjects the place AI platforms point out rivals however not your model.
Type the column for one in all your rivals from excessive to low to kind the desk by their highest variety of mentions.
This gives you the subjects the place a particular competitor has a excessive variety of mentions, whereas your model is lacking utterly.
Overview this checklist to prioritize the subjects most related to your enterprise, then broaden them to see the precise prompts driving these gaps.
For a extra granular view, change to the “Immediate” view on the prime of the desk and apply the identical “Lacking” filter.
Right here you’ll discover the precise questions and directions customers are giving to AI the place rivals seem however your model doesn’t.
If these prompts are related to your enterprise, it means you’ve got an AI visibility hole.
Plan to shut the hole by creating and optimizing content particularly for this subject in order that AI platforms can cite your area as a supply and point out your model when prompted.
2. Discover the Quotation Sources that Affect Your Opponents Mentions
An AI quotation hole is when an AI mannequin cites a particular supply (like a third-party evaluate website, a information outlet, or a distinct segment weblog) in responses that point out a competitor, however not your model.
For instance, think about Monday and Asana as two competing challenge administration softwares.
If ChatGPT recommends Asana however not Monday in a solution that cites a distinct segment tech weblog to validate that alternative, that weblog can be a quotation hole forMonday.
Figuring out these gaps enables you to reverse-engineer the sources of affect behind your rivals’ AI mentions on the prompts that matter most.
Very similar to link building outreach, you possibly can plan outreach to pitch partnerships and mentions of your model on these related sources of affect.
To seek out your AI quotation gaps, keep within the “Competitor Analysis” report and click on the “Sources” tab.
You may see an inventory of domains referencing you and your rivals.
Apply the “Lacking” filter to see which domains cite rivals however have not talked about your model, and once more kind by a competitor’s mentions.
Prioritize sources by taking a look at three indicators:
- The variety of prompts they seem in
- Their natural site visitors
- The variety of URLs cited from that area
Collectively, these let you know how influential a supply is in your class.
Click on any area to broaden it and see the precise pages citing your rivals.
Then group them by sort to determine the best way to act:
- Trade publications and area of interest blogs: Overview the precise pages citing rivals to know the angle (a roundup, a comparability, a best-of checklist), then pitch editors for inclusion on these pages.
- Overview and comparability websites: Discover the precise itemizing or comparability pages referencing rivals and plan outreach to get your model added on to them.
- Neighborhood platforms like Reddit and Quora: Contribute on to the precise threads AI is already pulling from.
3. Spot Narrative and Sentiment Gaps with the Model Efficiency Studies
Narrative and sentiment gaps happen when AI fashions affiliate rivals with useful traits (like reliability, safety, or ease of use) extra typically than your model.
To seek out these gaps, use the Brand Performance stories.
To get began, launch the “Model Efficiency” report contained in the AI Visibility Toolkit.
Enter your area, choose a goal location, and select a goal language.
This contains ChatGPT, SearchGPT, Google AI Mode, Perplexity, or Gemini.
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Word: The Model Efficiency stories are tied to the precise mixture of area, location, and language you choose throughout setup, and every mixture makes use of one Model Efficiency evaluation restrict. |
Establish Key Enterprise Drivers Influencing Your AI Narrative
The Key Enterprise Drivers heatmap contained in the Model Efficiency report reveals which of those attributes (like pricing, achievement pace, or product assortment) AI mentions most frequently for every model in your class.
These are the decision-making components AI fashions use to distinguish you from rivals. When customers ask for suggestions (like “What’s the very best challenge administration device for small companies?”), LLMs decide which manufacturers “personal” particular attributes—pricing, achievement pace, options, product assortment, or worth.
Discover the trophy icon marking the chief for every driver.
Scan for subjects the place rivals have the trophy and your model ranks low. These are your narrative gaps.
Establish Sentiment Gaps by Query
Subsequent, you possibly can dive deeper by analyzing your sentiment gaps by particular questions.
The Narrative Drivers report reveals your model sentiment (optimistic or impartial) in AI responses to a set of particular prompts and questions.
Scroll all the way down to the “Breakdown by Query” part to see your model’s place and sentiment rating for particular purchaser prompts alongside every competitor.
On the prime, use the next preset filters to concentrate on gaps—these two are most related for aggressive evaluation:
- Solutions | Non-branded: question-style prompts the place you possibly can see you and your rivals’ place of being cited and the general sentiment
- Citations | Non-branded: sources that AI cites for non-branded queries in your class the place your model is not represented.
Within the “Solutions | Non Branded” view, you may see your model’s place, sentiment rating, and the way each have modified over time; alongside the identical knowledge for each competitor.
You too can filter by place modifications, sentiment shifts, and particular rivals to slim the desk additional.
As an illustration, filtering for prompts the place Asana does not seem however rivals rank #2-5 reveals questions like:
- What’s one of the best ways to handle threat registers in a challenge device?
- How do engineering groups handle cross-team initiatives exterior situation monitoring?
- What are efficient methods to handle quarterly planning and resourcing?
These are your aggressive gaps.
Within the “Citations | Non-branded” view, you possibly can see the typical sentiment of every model throughout the prompts the place a particular area is cited.
For instance, on this first row, Asana has a 92% optimistic sentiment and Monday has a 67% optimistic sentiment throughout AI solutions that cite atlassian.com.
For Monday, that will be one other quotation hole to discover and attempt to enhance its model sentiment when talked about on Atlassian’s website.
Word: Not like the Competitor Analysis report, which pulls from Semrush’s database of 239M+ prompts, the Model Efficiency stories use a special methodology. These generate round 200 artificial prompts designed to duplicate actual purchaser analysis conversations, providing you with a managed view of how AI perceives your model when prospects are actively evaluating choices.
Enhance Your AI Visibility At present with Semrush One
Most manufacturers nonetheless don’t have any clear image of the place they stand in AI-generated solutions, a lot much less the place rivals are pulling forward.
Measuring AI visibility continues to be new territory, and most groups are nonetheless determining the place to begin.
However do not overcomplicate it. Deal with discovering AI visibility gaps as merely an extra layer to your current competitor evaluation.
With Semrush One, you get a transparent view of rivals and gaps on each AI Visibility and search engine optimisation. Use it to begin discovering gaps right now so you possibly can take motion and catch as much as the competitors.
