If a rival is named in nearly every AI answer for your category, start by measuring how often that is true and where it is not. AI answers vary a lot from run to run, and even dominant brands miss many answers. Then compete where their coverage is thin: specific use cases, audiences, regions and the comparison prompts buyers type when they are already looking for another option.
What AI likely says about you today
The pattern is familiar. For “best CRM for small law firms” or “top meal kit for families”, one competitor appears first in most runs, often with a confident one-line summary. You appear occasionally, lower down, or not at all. For “[competitor] alternatives” you may show up, but with an outdated or generic description.
Before you conclude the category is lost, check the data. A SparkToro and Gumshoe study found ChatGPT and Google AI had less than a 1 in 100 chance of giving the same brand list in two runs, and even category leaders such as Bose and Sony appeared in only 55 to 77% of headphone answers. A screenshot showing your competitor first is one sample. Their real share of voice may be lower than it feels, and yours may be higher on some prompts.
Check each engine separately as well. A leader that owns ChatGPT answers may be weaker in Perplexity, which shows its sources openly, or in Google AI Mode, which Ahrefs found names more brands and people per answer than AI Overviews (3.3 entities against 1.3). An engine that lists more names leaves more room for a second or third brand. Start your counting with the free AI visibility self-check, which turns your category and main competitors into buyer, alternatives and head-to-head prompts with a scoring grid.
What the engines look for
Dominance in AI answers usually reflects dominance in coverage. In Ahrefs’ study of 75,000 brands, the top quarter by web mentions averaged 169 AI Overview mentions, while the next quarter averaged 14. That is a correlation, not proof of cause, but the gap between the most-mentioned brands and the rest is steep.
Visibility also tends to travel together. Ahrefs found brand visibility on one AI platform correlated strongly with the others, for example 0.749 between AI Overviews and ChatGPT. A competitor strong in one engine tends to be strong in the others, and the same pattern suggests gains can show across engines too.
The good news is that the sources keep moving. By 2026, only 37.9% of AI Overview citations came from Google’s top 10 results for that query. Google says its AI features run several related searches behind the scenes (query fan-out) and pull from a wider range of pages, so a well-described brand on less obvious pages still has a route in. Rankings still count, though. Seer Interactive found page-one Google rankings were the strongest predictor of whether ChatGPT named a brand in finance and SaaS questions. If the leader owns page one for your category questions, look at who wrote those pages and whether they cover the use cases you care about.
Three risks specific to this situation
1. Fighting on their strongest prompt. The broad head prompt (“best CRM”) is where the leader’s coverage is deepest. Spending everything there is slow. Find the long, specific prompts where the leader is generic and you are a better fit: “CRM for law firms that bill hourly”, “meal kit for families with nut allergies” (illustrations). Our guide on how context shapes AI answers explains why specific context wins.
2. Going negative. Attack pages, fake negative reviews and unfounded claims about a competitor are tempting when you feel shut out. The FTC’s 2023 update to its Endorsement Guides explicitly covers fake negative reviews of competitors too, and engines may repeat the dispute next to both names. We never attack competitors in mentions we write. This is not legal advice.
3. Copying their sources instead of finding yours. It is natural to chase the exact publications that cite the leader. Some are worth it. But those sources already have a favorite. Publications that cover your specific use case, audience or region may matter more for the prompts you can win.
What to do this month
- Build a prompt set of 30 or more prompts in four groups: broad category, specific use cases, “[competitor] alternatives” and “[you] vs [competitor]”. Run each three times per engine.
- Calculate mention rate and share of voice for you, the leader and two other rivals. Our guide to measuring AI visibility shows the method.
- Mark the prompts where the leader is weakest. Those are your targets.
- List the sources cited on those prompts and check how each describes you.
- Write a fair comparison page on your own site that says who each product suits.
- Get independent mentions live that place you next to the use cases and audiences you chose.
Your options
| Option | What it means when a competitor dominates |
|---|---|
| Do it yourself | Comparison pages, review profiles, outreach on niche use cases; realistic but slow |
| Digital PR | Original data or a strong opinion can earn coverage the leader does not have |
| Brand mentions | You placed in context on the use cases you target, on real, indexed publications |
| Wait | The leader keeps adding coverage; the gap usually widens |
With The Blue Ocean Brand Mentions, first mentions typically go live within 30 minutes of kickoff, then more are added over time. When and whether each engine picks them up varies, so we compare before and after across engines; see how we place and measure. If you are a SaaS team, our page on SaaS left out of best-tools lists adds category-specific steps.
Being mentioned is step one. Moving from mentioned to recommended near the top of answers is a separate job, covered in from mentioned to recommended and handled by The Blue Ocean GPT.
What to do next
- Measure share of voice with repeated runs before deciding the category is lost.
- Choose three use cases or audiences where the leader is generic and you are a better fit.
- Get a free AI visibility check to see where you stand against your main competitor today.
Frequently asked questions
Why does ChatGPT always recommend my competitor?
Usually because far more independent pages describe them in your category: roundups, reviews, forums, news and videos. Engines build answers from what they read, so the most described brand tends to appear most often. It may also rank well in Google for your category questions, which studies link to ChatGPT mentions. None of this is permanent, but it reflects real coverage you need to match.
Can I get AI to stop recommending a competitor?
Not ethically, and you should not try. Attacking a competitor in content, posting fake negative reviews or spreading false claims breaks consumer law in many markets and can backfire in AI answers. Focus on being named more often yourself, with accurate context, so the engine has a fuller picture of the category that includes you.
How do I measure share of voice in AI answers?
Build a set of buyer prompts, run each several times in each engine, and count how often each brand appears. Your share of voice is your appearances divided by all brand appearances across those runs. Track it monthly with the same prompts. Single answers vary too much to compare, so always use repeated runs.
Should I target prompts that mention my competitor by name?
Yes, they are often the best opening. Prompts like alternatives to a named competitor, or a direct comparison, exist because buyers are already weighing other options. Fair, accurate mentions that place your brand next to the use cases where you are a good fit help engines include you in those answers. Never misrepresent the competitor.
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