# AI keeps naming the same competitor instead of me Why one competitor keeps winning the AI answer, how to find the sources behind it, and how to get yourself onto them. By Dasha. Updated November 1 2026. https://heardofyou.io/competitor-named-instead If AI keeps naming the same competitor, the sources it reads keep naming them. ChatGPT, Gemini, Claude, Perplexity and Muse do not have a favourite. They have a reading list, and your competitor is on it. The fix: find out which pages are on that list for your buyer's questions. Then earn a place on the ones that matter. ## Why it is always the same name Three things stack up for the incumbent. **They are on the lists.** For US software questions, 72.7 percent of the sources AI engines cited were earned media: review sites, "best X" articles, forum threads. An established product has sat on those pages for years. One analysis covered about 200,000 AI responses. Ranking first in a frequently cited list article raised a B2B software brand's mention rate by 16.5 percentage points. That is a big lever, and it belongs to whoever got there first. **They win the tie.** In a 2026 experiment, two products had identical specs. The well-known brand was recommended every time. A rating edge of under 0.1 stars for the challenger was enough to flip it. No reviews, no tie-breaker. **The sources repeat each other.** A list article cites the G2 grid. A Reddit thread links the list. A YouTube review reads the Reddit thread. The AI sees the same name four times and calls it consensus. In 2026, Wharton researchers found one strong source could override a model's default pick. They tested Wirecutter and Reddit. The incumbent has many such sources. You need a few. **+16.5 points : rise in a B2B software brand's AI mention rate from ranking first in a frequently cited list article : Peec AI analysis of about 200,000 responses, via Kovmere** ## The step most founders skip: read the citations When an AI names your competitor, it usually shows where it got that from. Perplexity shows sources on every answer. ChatGPT and Gemini show them when they searched. Claude shows them when it used web search. Those little footnotes are the whole game. Run the question three times on each assistant. Write down every source cited. After 75 answers, a short list of domains keeps coming back. Maybe a G2 category page, a Zapier or Forbes "best of" list, two or three Reddit threads, one YouTube review. That is the citation map for your category. One founder on r/SaaS asked ChatGPT for the top tool in his category. He got three competitors and no mention of himself. The useful next step is not to feel bad. It is to open the three pages ChatGPT cited and ask: how do I get on these? ## What works, and what does not **Works:** - Pitching the lists the AI already cites, with a real reason to add you. A feature the list lacks, a price point it does not cover, a user they can talk to. Then follow up, twice. Most placements happen on the second or third email. - Getting your first ten honest reviews on the one review site that showed up most in the citations. Not five sites. One. - Answering the cited Reddit threads under your own name. Disclosed and genuinely useful. A cited thread gets re-read by the AI. - A fair comparison page ("Ledgerly vs FreshBooks") and an alternatives page on your own site. "Comparison" is one of the most common words in ChatGPT's own searches. **Does not work:** - Posting your product on 50 lists nobody cites. Volume is not the point. The cited ones are. - Buying a mention on a page that hides the sponsorship. Paid content was 0.3 percent of citations in Muck Rack's 207 million citation study. Undisclosed placement is a policy problem waiting to happen. - Asking friends to post fake Reddit threads. Models and moderators both catch repeated patterns. The thread gets deleted, and your name with it. - Copying the competitor's keywords onto your page. Keyword stuffing did not help in the original GEO study. It also reads badly to humans. ## What we would do 1. **Free check.** Your five most important buyer questions, three runs each, across ChatGPT, Gemini, Claude, Perplexity and Muse. For every answer: who was named, and which sources were cited. You get the raw list of sources, not a score. 2. **Audit, $149.** We widen it to 25 questions. Then we rank every cited source by how often it appeared and how reachable it is. You get a prescription: the exact lists, review sites and threads to get into, in order. Credited toward the project within 30 days. 3. **Project, $799.** We pitch 25 named lists and sites, two follow-ups each. We write three pages for you: your story page, one honest comparison, one alternatives page. We set up review profiles on the two sites AI cites most in your category. You get a founder-led Reddit plan. Then we re-ask the same 25 questions at day 30, 60 and 90 and send you the before and after. Example, with "Ledgerly" (a made-up invoicing app we use for illustration): FreshBooks, Wave and Bonsai were named instead of it. The sources behind them were G2, a Zapier "best of" list, and two Reddit threads. The prescription had four items, not forty. A G2 profile with ten reviews, a pitch to the Zapier list, two disclosed Reddit answers, and a comparison page. That is a project, not a lifetime. We will never promise the AI stops naming your competitor. We will show you how often it names you, before and after. ## Questions **Can I just pay the list owner to add me?** Some lists sell placements. We tell you which ones do. We only pursue a paid one if the page clearly marks it as sponsored. Undisclosed paid placement gets both of us in trouble. And paid content is a tiny share of what AI cites anyway. **What if the competitor is on 40 lists and I am on none?** Then we do not chase all 40. The audit ranks the sources by how often each AI actually cited them for your questions. Usually five to ten do most of the work. Those are worth weeks of follow-up. **Will getting on the lists make the AI stop naming the competitor?** No, and that is not the goal. Buyers ask for a shortlist. The goal is to be on it next to them. We measure how often you are named, not whether anyone else is removed. ## Sources - Peec AI analysis via Kovmere: ranking first in a cited listicle raised mention rate by 16.5 points (https://kovmere.com/resources/which-review-sites-and-directories-do-ai-assistants-cite-when-recommending-software) - Chen et al., University of Toronto: 72.7% of AI sources for US software queries were earned media (https://arxiv.org/html/2509.08919) - Peec AI: most-cited domains by engine (vendor data) (https://docs.peec.ai/research/most-cited-domains-by-engine) - Chu and Hou: well-known brands win ties; a rating edge under 0.1 stars flips it (2026, pre-print) (https://arxiv.org/abs/2606.17443) - Wharton GAIL technical report on agentic shopping: a single source can override a model's pick (https://gail.wharton.upenn.edu/research-and-insights/technical-report-agentic-shopping/) - Muck Rack Generative Pulse: paid content is 0.3% of AI citations (https://www.globenewswire.com/news-release/2026/10/28/3390134/0/en/generative-pulse-earned-media-still-drives-more-than-84-of-ai-citations.html) - r/SaaS: ChatGPT is sending customers to your competitors (https://www.reddit.com/r/SaaS/comments/1tho85q/chatgpt_is_sending_customers_to_your_competitors/) - r/SaaS: my app went from $0 to $400 MRR after I figured out why ChatGPT recommended competitors (self-reported) (https://www.reddit.com/r/SaaS/comments/1saxefk/my_app_went_from_0_to_400_mrr_after_i_figured_out/)