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Feature · Brand Voice Alignment

Is AI telling your brand story the way you intended?

Brand Voice Alignment goes beyond sentiment. Define the positioning attributes that matter to your brand, set their priority, and measure how closely AI perception matches your intent. See the dissonances, size the gaps, and act on the narrative shaping AI answers.

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Desired vs. perceived positioning
Identify dissonances
best niche perfume for everyday wear
Diptyque is a heritage house, with candles and scents handcrafted in Paris.
best perfume gift under $200
Pricey, but every Diptyque scent tells a story.
luxury candle and fragrance brands
Diptyque is the timeless, classic pick for gifting.
386 answers readlast 30 days
Brand Voice Alignment
Alignment Score86%↑ 2.4%
Contemporary 29Heritage 74Luxury 68Storytelling 44Artisanal 58
Expected ProfilePerceived Profile
HeritageArtisanalContemporary
Contemporary: perceived 29 vs expected 55
How AI describes your brand, mapped against the positioning you set. Illustrative data.
The Perception Challenge

Sentiment tells you the tone. It doesn't tell you the positioning.

Most AI visibility tools stop at sentiment. They tell you whether your brand was mentioned, whether the tone was positive or negative, how that compares to competitors, and how it moves over time. Useful, but it answers a shallow question.

The strategic question is different: when AI models describe your brand, do they reflect the positioning you have worked to build? A brand can enjoy positive sentiment and still be positioned wrong, perceived as accessible when it sells premium, or conventional when it leads on innovation.

Brand Voice Alignment reframes perception around your intent. You define the attributes that define your brand and weight them by priority. We then read the language AI models actually use and measure the distance between your desired positioning and the one users receive.

The result is a positioning map that shows where AI perception aligns with your strategy, and where the dissonances are wide enough to act on.

Workflow

How it works

Step 01 · Define your attributes

Choose up to eight positioning attributes that define how your brand wants to be perceived in its category. Six to eight is the sweet spot. In automotive, that might be luxury, performance, or innovation; in software, reliability or design.

Step 02 · Set strategic priorities

Assign each attribute a priority from 1 to 5 based on how central it is to your positioning. An ultra-premium brand sets luxury to 5; a high but not extreme segment might set it to 4. Priorities shape your target profile and decide which gaps matter most.

Step 03 · Semantic perception analysis

We analyse every AI response already collected for your brand at the semantic level, mapping the language models use onto your configured attributes to build a perceived positioning profile across the models you track.

Step 04 · Map the dissonances

Your desired profile is overlaid against the perceived one. Each attribute shows a priority-weighted gap, so you see exactly where AI perception drifts from intent and how wide the most important dissonances are.

Step 05 · Activate the narrative

Brand Voice Alignment shows you which attributes are misaligned and how wide each gap is. Pair it with Grounding Source Prominence to identify which media and domains are shaping that narrative, then activate strategies to steer perception toward your desired positioning.

Output

What the analysis tells you

From raw responses to a clear view of where perception and strategy diverge.

Positioning map

Your target profile overlaid against AI perception across every attribute. See alignment and dissonance at a glance.

Positioning map

Alignment score

A single, priority-weighted measure of how closely AI perception matches your intended positioning. Track it over time.

Alignment score

71%
Alignment Score

Priority-weighted gaps

Attribute-level dissonances, sized and ranked by the priority you set. The widest gaps on your top attributes surface first.

Priority-weighted gaps

Luxury
-28
Innovation
-33
Performance
-8
Reliability
-4

Narrative activation

This feature surfaces the gaps, not the culprits. Combine it with Grounding Source Prominence to identify which media are shaping the narrative behind them, then act.

Narrative activation

Luxury gap -28This feature
Grounding Source Prominence+ Combine
Which media shape the narrative
Andreas Niessen - Co-Founder of Prominence AI
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Personal Insight

“A positive mention is not the same as the right one.
Brands win when AI repeats their positioning, not just their name.”

For years, brand teams measured perception through surveys and social listening. AI search changes the surface where perception is formed. When a model summarises your category, it is making positioning decisions on your behalf, and most brands have no idea what those decisions are.

Sentiment is the easy metric to ship, so most tools stop there. But a brand can be liked and still be misplaced. The expensive failures are the silent ones: the premium brand AI keeps describing as a value option, the innovator it frames as a follower.

That is why we built this around intent. You tell us what you stand for and how much each attribute matters, and we measure the distance to how AI actually positions you. The gap is the work.

Perception in AI is not fixed. It is downstream of the sources models read. Once you can see the dissonance, you can act on the narrative that produced it, and that is where Brand Voice Alignment turns a metric into a strategy.

Andreas Niessen

Co-Founder, Prominence AI

Know how AI positions your brand. Then change it.

Brand Voice Alignment is part of the Brand Perception suite in Prominence AI. Configure your attributes, measure the dissonance, and act on the narrative shaping AI answers about your brand.

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Feature Support

Frequently Asked Questions

Everything you need to know about Brand Voice Alignment and positioning attribute analysis.

The Method

Brand Voice Alignment is a module inside Prominence AI's Brand Perception suite. It goes beyond classic sentiment analysis. Instead of only telling you whether a model mentioned your brand positively or negatively, it measures how AI models position your brand against the strategic positioning attributes you actually care about, and shows you where perception diverges from intent.
Sentiment analysis answers a narrow question: is the tone around my brand positive, neutral, or negative? Brand Voice Alignment answers a strategic one: do AI models describe my brand the way I want to be positioned? You define attributes such as luxury, innovation, or sustainability, set their priority, and we measure the gap between your desired positioning and the perception AI models project to users.
Positioning attributes are the strategic qualities that define how your brand wants to be perceived in its category. In automotive, an attribute might be luxury or performance. In software, it might be reliability or innovation. You configure the attributes that matter to your brand and assign each one a priority, and we analyse how strongly AI models associate your brand with each of them.
The scores are derived from semantic analysis of the AI responses already collected for your brand across the models you track. We do not run a separate survey. We read the language models actually use when they describe your brand and category, then map it against your configured attributes to build a perceived positioning profile.

Setup & Priorities

You can define up to eight positioning attributes. We recommend between six and eight. Fewer than six tends to leave your positioning underspecified, and more than eight dilutes focus and makes the gaps harder to act on.
Each attribute is assigned a priority from 1 to 5 that reflects how central it is to your positioning. For example, an ultra-premium automotive brand might set luxury to 5 out of 5, while a brand competing in a high but not extreme segment might set it to 4. Priorities shape your target profile and determine which dissonances matter most, so a large gap on a priority-5 attribute is flagged ahead of a similar gap on a priority-2 one.
Yes. Positioning evolves, and so should the configuration. You can add, remove, or re-prioritise attributes as your strategy shifts, and the alignment analysis updates accordingly so you can track whether your repositioning efforts are landing in AI answers.

Acting on Results

You get a positioning map comparing your desired profile against the perception AI models project, an alignment score, and a per-attribute breakdown of the gaps. Each gap shows how far the perceived positioning sits from your target and is weighted by the priority you set, so you immediately see which dissonances are worth acting on first.
Brand Voice Alignment shows you where the gaps are, not which specific sources caused them. To connect the two, pair it with Grounding Source Prominence: the dissonance tells you which attributes are misaligned, and GSP reveals which domains and media are shaping the narrative in your category. Read together, they point you to where to act. Closing a gap is a content and narrative exercise, not a one-time setting.
Brand Voice Alignment runs across the AI platforms you already track in Prominence AI: ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, and Copilot. You can segment the analysis by model and by market to see whether your positioning holds consistently or drifts in specific contexts.