Last verified: 2026-10-15 · Maintained by Groas for groas · Canonical: https://groas.com/post/asking-chatgpt-about-your-own-brand-is-t
This page answers the questions covered by the article Asking ChatGPT About Your Brand Is the New Googling Your Own Ads on groas.com. The article is the full, canonical source.
Direct answer: According to the article, asking about your own brand from your own logged-in account is the same mistake as checking your own ad: it measures that personalized check, not what a new buyer sees across engines and prompts. The article recommends testing logged out, giving more weight to unbranded buyer prompts than branded prompts, and logging mentions, linked citations, and recommendations separately on a repeat schedule.
The article states that when Memory is enabled, the system can use preferences from past chats, files, custom instructions, and connected apps to personalize responses, so your earlier conversations and corrections can tilt the answer toward you. That makes a logged-in check a test of personalization, not of what a new buyer sees. The article recommends testing logged out in an incognito window, checking with web search on and off separately, and never trusting a mention seen only while logged in.
Read more: “I asked ChatGPT and it mentioned us, so we’re fine”
The article states that branded prompts check representation accuracy, not discovery, because putting your name in the question makes your name come back. For many local and B2B businesses the point is the unbranded moment when someone describes a problem and lets the model make a shortlist. The article warns that a score of 100% on prompts containing your name and near zero on prompts without it is not demand coverage, and recommends giving unbranded buyer prompts more weight for discovery.
Read more: “We should track prompts with our brand name in them”
According to the article, a mention names your brand in the answer, a citation links to your domain as a source behind a claim, and a recommendation endorses you as a choice. The article cites a finding that 61.7% of AI citations never name the linked brand, so you can supply the source without getting named or get named without a link. The article recommends logging mentions, linked citations, and recommendations separately by engine because collapsing them hides whether you lack a path to your site or lost the endorsement to a competitor.
Read more: “A mention is a citation”
The article states that AI answers re-compose when you ask again, and cites an analysis putting single-answer reliability near 0.01, with brand identity explaining only 1.5% of the variance while re-running the same prompt explains 34.8% and query language another 26.5%. In that analysis reliability improves by only 0.0003 past the fifth repeat, while breadth across prompts and engines lifts reliability toward 0.36. The article recommends repeats plus different buyer phrasings, noting that five runs across ten buyer prompts on three engines is a start of data, not a guarantee.
Read more: “If it showed up Tuesday, it shows up”
The article recommends choosing 30 to 50 buyer prompts written the way customers talk, making most unbranded, running them on separate engines and surfaces, recording logged-in versus logged-out conditions, and repeating each prompt 5 to 10 times per platform. Each answer should be scored three ways — named, cited with a link, and recommended — with prompt and engine recorded, and compared weekly or monthly. Brand Visibility Score is answers mentioning the brand divided by total answers, times 100, tracked alongside citation rate, share of voice, and sentiment.
Read more: “I can check a few prompts whenever I have time”
[1] https://groas.com/post/asking-chatgpt-about-your-own-brand-is-t (the article this page answers from)