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AI Narrative Intelligence

AI is now where consumers
decide what to buy.
Most brands have no idea
what it's saying about them.

We reveal what AI tells consumers about your brand — sentiment, accuracy, competitor displacement, and where you're losing sales you never see.

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58%
Of consumers use AI to research before buying
AI models in the intelligence pipeline
13
Concern clusters scored per brand
1,975
Scored responses in a sample scan

200+ tools measure if you show up. That's not enough.

Showing up is the easy part. We measure what AI actually says — the sentiment, the competitor it recommends instead, the claims it fabricates, and whether your brand survives when a consumer pushes back.

01 Is AI recommending you?
Every response scored on a −1 to +1 scale. This is the number that maps directly to lost or won sales.
02 What happens when consumers push back?
We simulate 13 types of negative prompts — ingredient concerns, health claims, bad press — and score where your narrative breaks.
03 How often does AI mention your competitors?
Even when consumers ask about you specifically, AI volunteers alternatives. We track which competitors get planted and how often.
04 Does AI recover after a bad entry?
When a consumer starts negative, does AI course-correct or compound the damage? Resilience matters as much as the baseline.
05 What can actually be fixed?
Some problems are fixable with content strategy. Others are structural. We tell you which is which so you don't waste budget.
06 Is what AI says actually true?
AI fabricates ingredients, claims, and certifications with confidence. We catch every inaccuracy before a consumer does.

Five questions. The sale is decided before your brand gets a say.

Based on a real ChatGPT conversation — condensed for clarity.

9:41
ChatGPT
Message
● Live narrative signal — Brand A
Sentiment
−1.0 to +1.0
Competitor
mentioned
Fabrication
detected
Rec. outcome
Brand A vs B
01 — Awareness
Brand A is introduced — but so are two competitors
The AI mentions Brand A first, then immediately offers two cleaner alternatives. Both competitors are planted in the very first response.
Sentiment
+0.6
Competitor mention
Fabrication
None
Rec. outcome
Neutral
02 — Consideration
Concerns raised — but no redirect yet
The AI surfaces ingredient concerns without being pushed. Sentiment drops — but no competitor has been named and nothing fabricated. Yet.
Sentiment
−0.1
Competitor mention
Fabrication
None
Rec. outcome
Neutral
03 — Conversion lost
The AI picks a winner. It isn't Brand A.
Brand A lost the sale inside a conversation it never knew was happening. The brand that gets recommended here gets recommended again.
Sentiment
−0.7
Competitor mention
Fabrication
1 detected
Rec. outcome
Lost to B

What a Deep Intelligence Report looks like.

Findings inspired by a real Deep Intelligence Report. See the kind of insight a full audit uncovers.

Sample · Page 01 Cover & Executive Summary
GPT-4o · Gemini 2.0 Flash · Perplexity Sonar Pro
2,816 scored responses
Executive summary

Brand A has moderate brand recognition across AI models but faces a critical SPF accuracy problem — GPT-4o fabricates SPF 50 protection in 42% of responses when the product is actually SPF 30. At Consideration, AI models consistently recommend Brand B as the "cleaner" alternative.

GPT-4o
+0.06
Near neutral
Gemini 2.0 Flash
+0.14
Neutral
Perplexity Sonar Pro
−0.22
Negative
All models combined
−0.01
Near neutral
Key finding

Perplexity Sonar Pro is the most damaging model — it searches the web per query and surfaces real-time ingredient criticism and competitor comparisons. GPT-4o fabricates SPF claims in 42% of responses, creating a false-positive picture that collapses when consumers push back.

Sample · Page 02 Stage-by-Stage Scoring
All 3 models combined
5 funnel stages scored
Funnel stage scores
Awareness
+0.18
Consideration
−0.09
Conversion
+0.11
Loyalty
−0.04
Advocacy
+0.31
Consideration
−0.09
73% caveat rate. Fragrance, preservative system, and "not dermatologist tested" clusters fire in over half of stress responses.
Conversion
+0.11
Brand B recommended instead in 38% of GPT-4o conversion responses. "Fragrance-free alternative" framing displaces Brand A.
Key finding

The gap is not awareness — it is what happens when the consumer asks a second question. Brand B enters with a fragrance-free, dermatologist-endorsed position and a 91% competitive recommendation rate in GPT-4o.

Sample · Page 03 Concern Cluster Breakdown
11 concern clusters scored
Frequency across stress responses
Cluster trigger frequency
Fragrance / sensitizers
52.4%
SPF claim accuracy
42.1%
Preservative system
38.9%
Not dermatologist tested
36.0%
Clean beauty positioning
31.8%
Fragrance & sensitizers 52.4%

The highest-frequency concern fires in over half of all stress responses. AI consistently raises fragrance concerns even when the consumer doesn't ask about sensitive skin. This cluster is the primary driver of Brand B displacement.

SPF claim fabrication 42.1%

GPT-4o fabricates SPF 50 protection in 42% of responses when the actual product is SPF 30. The correction triggers the AI to raise additional concerns — the correction paradox in action.

The intelligence goes deeper

Want the rest of this report? Request a free scan — or reach out and we'll walk you through what the full picture looks like for your brand.

04 Consumer persona analysis
05 Competitor displacement map
06 Model-by-model comparison
07 Factual accuracy verification
08 Prioritized action plan
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Illustrative findings · Inspired by real Deep Intelligence Report methodology · Not actual client data

Three levels of intelligence.

Every engagement starts with a free scan. We'll show you where you stand — and which level of depth makes sense for what we find.

Signal
You know where you stand.

A fast read of how AI represents your brand today — before a campaign, before a launch, or just because you've never looked.

Sentiment score across AI responses
How often AI recommends you vs. steers away
One platform, one clear picture
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Narrative
You know why.

Which AI platforms are hurting you, which competitors are getting planted, and which consumer conversations are the problem.

All three major AI platforms compared
Competitor displacement mapped
Six consumer archetypes tested
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Deep
You know what to fix.

Comprehensive coverage. Adversarial pressure testing. Fact verification. A prioritized action plan with clear next steps.

Stress tested across 13 negative pressure types
Every AI claim about your brand verified
Prioritized action plan included
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Custom
Built around your brand.

Multiple brands, category-wide intelligence, or something we haven't named yet. We scope it together.

Your model mix, your competitors
Ongoing monitoring available
Category intelligence across multiple brands
Talk to us →

Tenor Narrative was built on a simple observation: AI is now where consumers form brand opinions — and no one is measuring it with real analytical rigor.

01
Built on enterprise methodology
Our scoring framework applies the same analytical discipline used in marketing mix modeling and competitive intelligence — not prompt testing or keyword tracking.
02
Designed for the full funnel
Most tools check if your brand appears in AI. We measure what happens across every stage of the consumer decision — awareness, consideration, objection, and conversion.
03
Independent and rigorous
We don't sell AI tools. We don't manage your content. Our only interest is giving you an accurate picture of where you stand — and what's actually worth fixing.
Get in touch [email protected]
Free Narrative Scan

See what AI is saying about your brand.

A snapshot of sentiment, competitor signals, and at least one finding you won't expect. No cost, no obligation.

Or email directly: [email protected]