When people ask AI what to watch, who to trust or which brands to consider, does your brand appear? We show you how AI represents you, identify the gaps and work with you to improve that picture.
Understand where you stand and what to work on next. We combine measurement with practical recommendations and implementation support. The Index, our measurement system built since 2024 through SnipeRank and AIVI, scans thousands of real brands around the clock.
See Who's Beating You →We like to keep things simple. (The data is complex enough.)
A useful result needs context. We distinguish brand mentions, links to your content and identifiable referral traffic, then track changes over time. Each tells you something different.
"There's no widely recognized brand or product specifically named 'Quontora AI' in the field of brand intelligence."
"I don't have specific information about Quontora AI Brand Intelligence."
"I have minimal data on this organization. Their differentiators are not clear from available sources."
"Search results show limited third-party coverage for this brand."
Quontora is our own company and we do run AIsubtext on ourselves — see our real, current numbers at /proof/?domain=quontora.com.
See how AI represents your brand today.
Work directly with me to improve how AI represents your brand.
Every engagement includes strategy. Scope and fees are agreed after an initial conversation.
Let's TalkThe pattern we see most: AI engines recognize a brand on every query, yet route the recommendation to a competitor. Being known is not being chosen.
AI engines scanned per audit. ChatGPT, Claude, Gemini, Perplexity, Google AI Overview, and Mistral. Each one recommends differently.
Remediation pages deployed for just our first client — one brand's campaign, not the sitewide total shown further up this page. Each one targets a specific query where AI was recommending competitors instead.
I'm Yoram Ezra, founder of AIsubtext. My background spans digital strategy, marketing technology and operations. I work with organizations to turn what we learn from AI answers into practical decisions about their content and digital presence.
For media organizations, that can include how programming and talent are represented, which content gets cited and where audiences discover competing brands. We start with the questions that matter to your team.
Let's talk →Share what you want your organization to be known for. We can explore where AIsubtext may help.