The Queries People Use When They Realize AI Is Wrong About Their Brand
Over the past month, 17,000 Google impressions came from people searching for solutions to a problem that barely existed two years ago: how AI models describe their brand. These aren't SEO queries. They're not reputation management queries. They're a new category entirely — people who've discovered that ChatGPT, Claude, or Perplexity says something wrong about their company, and they're searching for what to do about it.
The Four Stages of Demand
Stage 1 — Problem-aware"I think AI might be saying something wrong about my brand"
| Query | Impressions |
|---|---|
| "why do ai language models get brand descriptions wrong" | 29 |
| "ai platforms recommending competitors instead of me" | 6 |
| "negative brand sentiment in ai" | 6 |
| "why does ai get brand descriptions wrong" | 3 |
| "negative ai brand sentiment" | 3 |
These queries tell you about the emotional state of the searcher. They've just had the "oh no" moment — they asked ChatGPT about their company and didn't like the answer. The search terms are long and descriptive because there's no established vocabulary for this problem yet.
Stage 2 — Solution-seeking"How do I find out and fix it?"
| Query | Impressions |
|---|---|
| "discover what ai says about your brand" | 82 |
| "how to check how ai models describe my brand" | 59 |
| "how to check how ai assistants describe my brand" | 28 |
| "how to test if ai models understand my brand" | 22 |
| "how to fix brand reputation in ai answers" | 20 |
| "how to test if ai understands my brand" | 12 |
| "fix negative brand sentiment" | 11 |
| "how to fix negative ai brand sentiment" | 7 |
| "repair reputation on ai search" | 5 |
| "how to improve brand sentiment in ai search results" | 3 |
This is the largest cluster — 249+ impressions from people actively seeking methodology. Notice the query structure: "how to" queries, meaning people want a guide, not a product page. They want to understand the methodology before they evaluate tools.
Stage 3 — Tool-seeking"What tools exist for this?"
| Query | Impressions |
|---|---|
| "content grader" | 125 |
| "ai brand reputation" | 67 |
| "ai brand authority" | 39 |
| "ai brand audit" | 33 |
| "ai query planning" | 16 |
| "ai query mapping" | 10 |
| "brand rank" | 6 |
| "content ai score" | 4 |
The vocabulary shifts at this stage. Instead of "how do I check," it's "ai brand audit" — a category term. They've moved from describing a problem to searching for a solution category. These are the queries where ranking on page 1 is most commercially valuable.
Stage 4 — Brand-aware"I know about Optimly"
| Query | Clicks | Impressions | CTR |
|---|---|---|---|
| "optimly ai" | 24 | 34 | 70.6% |
| "optimly" | 17 | 137 | 12.4% |
| "optimly AI acquisition platform" | 0 | 7 | 0% |
Brand search confirms that people who know about Optimly are finding us. The 70.6% CTR on "optimly ai" is strong. The gap is in category queries — we're averaging position 25.9 where only 0.5% of searchers click.
The Funnel Math
~500 impressions across category-creating queries. 81 total clicks. 0.5% CTR at position 25.9. Google is showing us for the right queries. We're on page 3 where nobody clicks. The demand exists. The supply is underserved.
The impression trend: impressions accelerated from ~1,000/day in mid-March to ~2,700/day by March 27. The market is growing week over week.
This matters beyond Optimly. The query data is evidence that AI brand reputation is becoming a category — not a feature within existing SEO or PR tools, but a standalone discipline with its own vocabulary, buyer journey, and search demand.
The conversion opportunity math
Here's the math that should get every brand marketer's attention: page 1 results for commercial queries typically see 25–35% CTR. We're at position 25.9 with 0.5% CTR. Moving to page 1 for even half of these queries would mean roughly 50× the click volume — from 81 clicks to 4,000+. At a 2% lead conversion rate (typical for SaaS), that's the difference between 1–2 leads per month and 80+ leads per month from organic alone.
And this is just Google. These same queries are being asked directly to AI models — ChatGPT, Claude, Perplexity — where there are no "page 1 positions," just the brands that AI recommends. The addressable market for AI brand visibility is the combined volume of Google search + AI model queries. We're seeing early evidence of this in our crawler data: 19,454 AI crawler requests per week vs. 4,530 from Googlebot, meaning AI models are consuming brand data at 4.3× the rate of Google.
Who's Capturing This Demand Today
SEO tool giants — Ahrefs, Semrush, HubSpot, Neil Patel
They rank on domain authority. Their AI brand visibility content is a feature add-on to their existing platform. They're treating this as a module, not a category.
Marketing publishers — Search Engine Land, Backlinko
They rank because they're trusted sources that publish about every marketing topic. Their coverage is broad, not deep.
Emerging specialists — TrySight, Knowatoa, MarketBetter
They're treating this as a category. They have dedicated tools and multiple pages targeting these queries. Their content volume is high but their information gain is low.
The significance: the SEO tool companies treat AI brand visibility as a feature. The specialists treat it as a category. The query data suggests it's becoming a category — with dedicated vocabulary, a distinct buyer journey, and growing search demand.
What This Means for Brand Marketers
If you own marketing for an emerging brand, here is the signal from your customers' search behavior: buyers are searching for how AI describes businesses like yours. They are asking "what does ChatGPT say about [your category]" and using the answer during consideration.
This creates two imperatives — and three things you should do this week:
- Run your own GSC query analysis. Filter for queries containing "ai," "chatgpt," "llm," "brand reputation," or "ai visibility." If you're seeing impressions for these terms, your market is already looking for solutions to AI brand misrepresentation — and some of those searchers are your customers or prospects discovering the problem for the first time. The queries will tell you exactly what stage of awareness your audience is at.
- Audit your AI brand representation. Now. Not in Q3 planning. Now. The demand data proves people are actively searching for solutions — but many of them are searching because they already discovered their own brand is misrepresented. You might be one of them. Run the free audit and find out in 30 seconds whether AI models are describing you correctly.
- Claim the category early. When a new search category emerges, the first 2–3 brands that create comprehensive content own the SERP for years. "AI brand reputation" is in its infancy — 500 impressions across category-creating queries, growing 2.7× week over week. This is 2008 for SEO, 2015 for content marketing. The category is being defined right now. The brands that build muscle here early will have a structural advantage that compounds over time.
Related
Data source: Google Search Console data for optimly.ai, March 1–28, 2026. Impression and click data is provided by Google and reflects search performance for the queries listed. This data represents Optimly's visibility — other sites in the category may have different performance profiles.