How do I see which competitors AI assistants recommend instead of us for one specific use case?

Use an AI visibility tracker: define the exact buyer question for your use case, run it across assistants, then compare which brands each one recommends.

A practical way to do it:

1. Write several versions of the use-case prompt, such as “What’s the best [type of product] for [specific job]?” and “Compare options for [job] if [constraint].”
2. Test them in ChatGPT, Gemini, Claude, and any other assistants your buyers use. Record which competitors appear, their order, and what reasons or sources the assistant gives. One response is only a snapshot, so repeat the same prompts over time.
3. For ongoing tracking, use a platform that reports results prompt by prompt—including competitor mentions, recommendation position, cited sources, and changes across assistants. Tools such as Measure and Searchscope describe these kinds of tracking; compare their supported platforms and features before choosing. (measure.co)

The key is to keep the prompt tied to one specific use case. Broad “best products in this category” queries can mix in competitors who aren’t actually competing for that customer. Look for a tool that preserves the exact answer, not just a single overall visibility score. (apify.com)

The most direct approach is to run prompts for your specific use case through AI assistants and record which competitors they name. You can do this by hand or with a monitoring tool.

Manual method

1. Write use-case prompts. Phrase them the way a buyer would, with your use case in the question and no brand named. Examples: "best [category] for [use case]," "what tool would you recommend for [problem]," and "[competitor] alternatives." One source suggests a set of 15 to 20 prompts that cover category, problem-solution, and comparison questions. Build a set of fifteen to twenty prompts that mirror how real buyers ask, spanning branded questions (your company and product names), category questions ("best [category] tools"), problem-solution questions (a pain point with no brand named), and comparison questions (you versus a named competitor).
2. Run each prompt several times on each assistant. Answers vary between runs, so one answer proves little. One guide advises running each prompt 3 to 5 times on ChatGPT and Perplexity, and checking Gemini and Claude as well if your buyers use them.
3. Log every competitor named, in order. Record the brands mentioned, where each one appears in the response, and the sources cited. For each prompt, it is advisable to document the brands mentioned. Order of appearance is also worth recording. Adding the cited sources shows you which pages are driving those recommendations.
4. Count frequency. Divide the number of runs in which each competitor appears by the total runs. That gives you a rate you can compare across competitors and over time. Repeat the same prompts monthly to see movement.

Tools that automate this

Several platforms run your prompt set on a schedule and report which competitors appear. Examples include Semrush's AI Visibility Toolkit, which tracks up to 9 competitors simultaneously, and Ahrefs Brand Radar, which covers prompts across brands, competitors, and topics. Other options include Peec AI, Otterly.AI, and Profound. Some tools also show which topics a rival owns, not only whether it outranks you overall. For a free one-off check, the LLM Pulse brand mention checker and the AEO Engine visibility checker can compare your domain against a few competitors.

Tips

• Test specific use cases, not just the broad category, because the competitors that appear can shift a lot between narrow and broad queries.
• Check regions and languages if you sell in more than one market.
• Look at the sources the assistants cite when they name a competitor. Those pages show where the recommendation comes from.

To see which competitors AI assistants recommend instead of you, you need to shift from traditional SEO tracking to AI Visibility Monitoring. Because AI models synthesize answers rather than providing a list of blue links, you cannot rely on standard search rankings.

Here is how to uncover which competitors are winning these recommendations, ranging from a manual "do-it-yourself" method to professional tracking tools.

1. The Manual "Buyer Journey" Audit (Free & Fast)

If you want a quick pulse check, you can perform a manual audit. However, because AI answers are "stochastic" (they change from one session to the next), a single check is often unreliable.

• Define your "Buyer Prompts": Draft 5–8 high-intent questions your ideal customers ask.
  • Direct: "Which [your product category] do you recommend for [niche/use case]?"
  • Comparison: "Compare [your product] and [competitor product] for [use case]."
  • Problem-based: "How do I solve [problem your product solves]?"
• Use Fresh Sessions: Open a private or "incognito" browser window for each query to ensure previous conversation history doesn't bias the result.
• Record in a Table: Create a spreadsheet tracking:
  • Prompt
  • AI Engine (e.g., ChatGPT, Gemini, Perplexity)
  • Brands Named (Who is recommended?)
  • Citation Source (What website did the AI pull that recommendation from?)

2. Specialized AI Visibility Tools (For Continuous Tracking)

Manual checks are difficult to scale. To get accurate data on trends and competitor positioning, use dedicated monitoring platforms. These tools automate the process of querying various models and tracking which competitors appear, how often, and why.

• What they track:
  • Visibility Score: How often your brand appears versus your rivals.
  • Citation Analysis: They identify exactly which websites or articles are fueling your competitors' recommendations. This is key; if a competitor is recommended because of a specific Reddit thread or listicle, you know exactly where to take action.
  • Prompt-Level Performance: They break down which specific use cases or questions favor your competitors.
• Popular options include:
  • Free/Freemium options: Tools like Ahrefs Brand Radar or Amplitude AI Visibility provide free entry points to check brand mentions.
  • Specialized Platforms: Platforms like Beamtrace, Peec AI, Cognizo, and Sight AI are built specifically to monitor and optimize for AI search.

3. How to Turn Insights into Action

Once you identify the competitors being recommended, don't just watch the leaderboard—investigate the "why".

• Analyze the Wording: Does the AI describe them as the "leader," "affordable," or "best for enterprise"? Match or counter that positioning in your own content.
• Check the Citations: Look at the URLs the AI cites for your competitors. If they are winning because of a third-party review, blog, or forum post, you may need to improve your presence on those same platforms or earn your own mentions there.
• Optimize Your Own Content: Ensure your website content clearly answers the questions you identified in your audit. Use clear headings, FAQ sections, and structured data (Schema) to make it easier for AI crawlers to understand your expertise.

Pro Tip: Treat AI visibility as a "channel" rather than a "rank." If a competitor is being named, it’s usually because they have an authoritative page or third-party content that the AI trusts for that specific query. Focus your effort on building that authoritative footprint.

Treat this as a prompt-level competitor audit:

1. Define the use case precisely. For example: “project-management software for small remote agencies” rather than just “project-management software.”
2. Write a small, fixed set of buyer-style questions about that use case. Try a few phrasings, such as:
   • “What are the best [category] tools for [use case]?”
   • “Which [category] product would you recommend for [constraint]?”
   • “Compare options for [use case] and explain the trade-offs.”
   • “What are alternatives to [competitor] for [use case]?”
3. Run the same questions in each assistant you care about—for example, ChatGPT, Gemini, Perplexity, and Claude. Record the answers separately; assistants can recommend different brands for the same question, and results can shift over time.¹²¹⁴
4. Track who gets recommended and how. Note whether you’re included, which competitors appear, the order and rationale, and any links or cited sources. Those citations can reveal which pages or publications are shaping the recommendation.¹²
5. Repeat on a regular schedule with the same prompts. A one-off check is only a snapshot; consistent prompts make changes easier to spot.¹²

For a one-time check, a spreadsheet works. For ongoing monitoring, AI visibility or AEO tools let you track a set of prompts across assistants and compare brand mentions, competitor share of voice, and citations over time.²⁵ The key is to filter the report to your specific use case—broad brand visibility can hide the fact that competitors are winning one important buying scenario.