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 brand reputation 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.
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're a CMO reading this, here's the signal from your own customers' search behavior: your buyers are searching for how AI describes you. They're asking "what does ChatGPT say about [your category]" and making purchase consideration decisions based on the answer.
This creates two imperatives:
- Audit your own AI brand representation. Now. Not in Q3 planning. Now.
- Recognize that AI brand visibility is becoming a measurable, optimizable channel — like SEO was in 2008 or social was in 2015. The brands that build muscle here early will have a structural advantage.
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.