Semrush helps you discover gaps in your AI visibility by figuring out subjects, sources, and narrative themes the place opponents get talked about in AI solutions however your model would not.
The method is just like search engine optimization competitor evaluation. You discover the place opponents are profitable and shut the hole.
The Semrush AI Visibility Toolkit (out there with Semrush One) helps you just do that.
Right here’s how you can get began.
1. Discover Matters The place Your Model is Lacking with the Competitor Analysis Report
The Competitor Analysis report identifies subjects and prompts the place your opponents seem in AI-generated solutions however your model would not.
Begin by launching “Competitor Analysis” inside Semrush’s AI Visibility Toolkit.
Enter your web site’s URL with as much as 4 opponents. In case you’re uncertain who to trace, Semrush will recommend high rivals primarily based in your area.
Then, click on “Run competitor evaluation.”
You may see a benchmark overview evaluating your model’s AI visibility towards opponents’ 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 complete AI attain/publicity primarily based on the quantity of all of the prompts and subjects the place the model is talked about.
- Mentions: The uncooked complete rely of distinctive prompts the place your model title seems within the textual content of the AI response.
Use the dropdown on the high to filter by a selected AI platform:
- ChatGPT
- Gemini
- Google AI Overviews
- Google AI Mode
To seek out particular subject gaps, scroll all the way down to the “Matters & Prompts” part.
You’ll see a listing of thematic clusters which you could kind primarily based on every model’s mentions. You’ll additionally be capable to examine the estimated AI Quantity for every subject.
Use this metric as a information to prioritize which subjects symbolize 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 opponents however not your model.
Kind the column for certainly one of your opponents from excessive to low to kind the desk by their highest variety of mentions.
This offers you the subjects the place a selected competitor has a excessive variety of mentions, whereas your model is lacking utterly.
Overview this listing to prioritize the subjects most related to your corporation, then develop them to see the precise prompts driving these gaps.
For a extra granular view, change to the “Immediate” view on the high 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 opponents seem however your model doesn’t.
If these prompts are related to your corporation, it means you will have an AI visibility hole.
Plan to shut the hole by creating and optimizing content material 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 selected supply (like a third-party evaluation web site, a information outlet, or a distinct segment weblog) in responses that point out a competitor, however not your model.
For instance, contemplate Monday and Asana as two competing mission 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 helps you to reverse-engineer the sources of affect behind your opponents’ AI mentions on the prompts that matter most.
Very similar to hyperlink constructing 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 a listing of domains referencing you and your opponents.
Apply the “Lacking” filter to see which domains cite opponents however have not talked about your model, and once more kind by a competitor’s mentions.
Prioritize sources by three indicators:
- The variety of prompts they seem in
- Their natural visitors
- The variety of URLs cited from that area
Collectively, these inform you how influential a supply is in your class.
Click on any area to develop it and see the precise pages citing your opponents.
Then group them by sort to resolve how you can act:
- Trade publications and area of interest blogs: Overview the precise pages citing opponents to grasp the angle (a roundup, a comparability, a best-of listing), then pitch editors for inclusion on these pages.
- Overview and comparability websites: Discover the precise itemizing or comparability pages referencing opponents 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 Reviews
Narrative and sentiment gaps happen when AI fashions affiliate opponents with useful traits (like reliability, safety, or ease of use) extra usually than your model.
To seek out these gaps, use the Model Efficiency experiences.
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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Notice: The Model Efficiency experiences 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. |
Determine 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, success velocity, 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 opponents. When customers ask for suggestions (like “What’s the perfect mission administration instrument for small companies?”), LLMs decide which manufacturers “personal” particular attributes—pricing, success velocity, options, product assortment, or worth.
Discover the trophy icon marking the chief for every driver.
Scan for subjects the place opponents have the trophy and your model ranks low. These are your narrative gaps.
Determine 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 high, 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 opponents’ 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 information for each competitor.
You too can filter by place adjustments, sentiment shifts, and particular opponents to slender the desk additional.
As an example, filtering for prompts the place Asana would not seem however opponents rank #2-5 reveals questions like:
- What’s the easiest way to handle threat registers in a mission instrument?
- 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 selected 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 may be one other quotation hole to discover and attempt to enhance its model sentiment when talked about on Atlassian’s web site.
Notice: In contrast to the Competitor Analysis report, which pulls from Semrush’s database of 239M+ prompts, the Model Efficiency experiences use a distinct 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 this time with Semrush One
Most manufacturers nonetheless haven’t any clear image of the place they stand in AI-generated solutions, a lot much less the place opponents are pulling forward.
Measuring AI visibility remains 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 a further layer to your present competitor evaluation.
With Semrush One, you get a transparent view of opponents and gaps on each AI Visibility and search engine optimization. Use it to begin discovering gaps right now so you possibly can take motion and catch as much as the competitors.
