How to Audit Your Brand for AI-Generated Flatness and Add Sensory Depth

The way AI perceives your brand might be killing your differentiation. When potential customers ask ChatGPT, Claude, or Gemini about your brand, they're getting bland, generic descriptions that strip away everything that makes you unique. This phenomenon—called AI-generated flatness—is becoming the invisible enemy of brand identity in 2025.

AI-generated flatness occurs when large language models (LLMs) default to thin, SEO-optimized content rather than rich, sensory-driven brand narratives. The result? Outputs that lack emotional resonance, vivid imagery, or multi-sensory appeal. No evocation of texture, scent, sound, or taste. Just flat, forgettable descriptions that could apply to any competitor.

According to Pure Visibility's 2025 research, 65% of AI responses about brands are "generic or neutral" due to training data biases toward review aggregators and thin content. Even worse, PBJ Marketing's audit tool reveals that AI pulls from 10x more third-party sources than brand-owned content, amplifying the flatness problem.

The good news? You can audit your brand for flatness and systematically inject sensory depth. This guide walks you through the exact process top agencies use to transform flat AI perceptions into vivid, memorable brand experiences.

Multi-sensory branding engages sight, sound, touch, taste, and smell to create memorable brand experiences. Source: Tansley

Understanding AI-Generated Flatness

Before you can fix flatness, you need to recognize it. AI-generated flatness manifests in three distinct ways:

Generic descriptors: When AI describes your coffee brand as "reliable coffee brand" instead of evoking "rich, earthy aroma with notes of dark chocolate," you've got a flatness problem. Starbucks suffers from this—AI outputs often miss sensory cues like "velvety foam" that define the brand experience.

Emotional disconnect: Factual lists replace evocative storytelling. Nike becomes "athletic wear" instead of "the pulse-pounding rush of victory sweat." The emotional core disappears.

Source dependency: AI prefers unverified third-party sources over brand narratives. PBJ Marketing found that 70% of audits show AI defaulting to Wikipedia, review sites, and aggregators rather than brand-created content with sensory richness.

This matters because AI search is exploding. Post-2024 LLM updates, Power Digital reports a 300% surge in AI visibility audits. By 2026, Gartner forecasts 70% of marketers will prioritize "AI perception" as a core brand metric.

The Sensory Depth Framework

Sensory depth is the antidote to flatness. It involves infusing brand content with multi-dimensional, human-like sensory details that make AI outputs vivid, memorable, and emotionally resonant. The framework targets five senses plus emotional storytelling:

Visual depth: Goes beyond "logo colors" to evoke 8K imagery, 360° textures, and spatial relationships.

Tactile language: "Silky," "crisp snap," "buttery smoothness"—descriptors that make audiences feel surfaces.

Auditory cues: ASMR qualities, sonic branding, the "whoosh" of opening packaging.

Olfactory/gustatory metaphors: "Zesty burst like summer citrus" for beauty brands or "smoky caramel notes" for coffee.

Emotional resonance: Stories that evoke nostalgia, triumph, comfort, or excitement rather than listing features.

Research shows sensory content ranks 2.5x higher in AI preference according to Tunheim's study of 500 brands. Multi-sensory branding boosts recall and makes AI outputs 2x more shareable, per Fullcast's analysis.

Multi-sensory marketing creates deeper brand connections by engaging multiple senses simultaneously. Source: Botanical Paperworks

Step 1: Benchmark Current AI Visibility

Start by detecting flatness in your current AI presence. Query major LLMs with 20–50 brand-relevant prompts across categories:

Identity prompts: "What is [Brand] known for?" / "Describe [Brand]'s personality"

Experience prompts: "Describe [Brand]'s customer experience" / "What does [Brand] feel like?"

Competitive prompts: "Compare [Brand] vs [Competitor]" / "Why choose [Brand] over alternatives?"

Sensory prompts: "How would you describe [Brand] to someone who's never heard of it?" / "What emotions does [Brand] evoke?"

Use ChatGPT, Claude, Gemini, and Perplexity. Perplexity is particularly valuable because it shows source attribution, revealing whether AI pulls from your brand content or third-party aggregators.

Score outputs using this flatness rubric:

Document everything in a spreadsheet. Track which prompts produce flat outputs and which sources AI cites. This baseline reveals your flatness score and identifies content gaps.

Fueled's research shows that fewer than 20% of brands evoke more than two senses in AI outputs. If your audit reveals similar results, you've got work to do.

Step 2: Competitor and Industry Analysis

Run identical queries for your top 3–5 competitors. This comparative analysis reveals competitive gaps. If your rival's skincare brand evokes "buttery smoothness" while yours gets "moisturizing cream," you're losing sensory differentiation.

Pure Visibility reports that 60% of brands are essentially invisible in AI results, while category leaders like Apple dominate with sensory-rich narratives pulled from videos, podcasts, and immersive content.

Look for patterns:

Sensory vocabulary gaps: Which tactile, auditory, or olfactory words do competitors own?

Story dominance: Do competitors have memorable brand narratives that AI repeats?

Format advantages: Are competitors leveraging video, audio, or interactive content that feeds AI richer data?

Create a competitive sensory map showing where each brand sits on vividness, emotional resonance, and multi-sensory coverage. This reveals white space opportunities.

Step 3: Diagnose Root Causes

Flatness stems from specific content problems. Crawl your ecosystem—website, social media, UGC, press coverage—and diagnose:

Over-SEO'd thin content: 80% of AI citations come from keyword-stuffed pages lacking depth, per Tunheim's findings. If your product pages are bare-bones feature lists, AI has nothing vivid to extract.

Missing structured data: No schema markup for sensory attributes means AI can't identify texture, sound, or experiential qualities.

Lack of multi-modal assets: Text-only content limits sensory richness. Without videos showing texture close-ups, ASMR audio, or 360° product views, AI defaults to generic descriptions.

Weak storytelling: Corporate speak and jargon kill emotional resonance. "Innovative solutions" is flat. "The satisfying click of precision engineering" creates depth.

Audit your highest-traffic pages and most-cited sources. Are they sensory-rich or flat? This diagnosis guides your content strategy.

Effective branding engages all five senses to create holistic brand experiences that AI can better understand and articulate. Source: Cobalt Communications

Step 4: Create Sensory Blueprints

Now add depth through strategic content creation. Develop "sensory blueprints"—long-form assets rich with vivid language and multi-sensory details:

Visual sensory content:

• 8K product photography showing texture details
• 360° tours with zoom-in capabilities
• Behind-the-scenes videos showing craftsmanship
• Color stories explaining palette choices with emotional associations

Impact: Power Digital's data shows visual richness boosts AI vividness by 40%.

Tactile and auditory content:

• ASMR-style videos capturing product sounds (unboxing, pouring, clicking)
• Texture descriptor libraries ("buttery," "crisp," "velvety," "rough-hewn")
• Customer testimonials emphasizing touch and feel
• Sonic branding guides explaining audio identities

Impact: Makes outputs 2x more shareable and memorable.

Olfactory and gustatory metaphors:

• Scent profiles for relevant categories (beauty, food, home goods)
• Taste comparisons and flavor journeys
• Metaphor-rich copy connecting products to sensory experiences
• Seasonal and cultural sensory associations

Fullcast notes this especially counters flatness in food, beauty, and lifestyle categories.

For brand-consistent visual content that maintains sensory richness across all touchpoints, illustration.app is purpose-built to generate cohesive illustration sets. Unlike generic AI generators that produce disconnected visuals, illustration.app excels at creating landing page illustrations, product visuals, and marketing assets that maintain the same sensory language, color palette, and stylistic details across every piece. This consistency ensures AI tools associate your brand with a unified, vivid visual identity rather than generic stock imagery.

Step 5: Implement Technical Fixes

Sensory content needs technical scaffolding so AI can extract it:

JSON-LD schema markup: Add structured data for sensory attributes. Example properties:

• texture: "silky"
• soundProfile: "crisp snap on opening"
• visualStyle: "warm, earthy tones with natural grain"
• emotionalTone: "nostalgic comfort"

AI-optimized sitemaps: Ensure crawlers access your richest content first. Prioritize pages with videos, detailed descriptions, and customer stories.

Alt text and captions: Describe sensory qualities in image alt text and video captions. "Hand-stitched leather showing natural grain texture" beats "product image."

Transcripts and metadata: Add transcripts to videos and podcasts with sensory language embedded. This gives AI text to extract.

These technical elements help AI understand and reference your sensory depth, improving citation quality.

Step 6: Amplify Through High-Authority Platforms

AI training data favors certain platforms. Seed sensory narratives where AI looks:

Podcasts: Appear on industry podcasts discussing your brand story with sensory language. Audio formats feed AI rich, conversational data.

Reddit AMAs: Host "Ask Me Anything" sessions sharing behind-the-scenes sensory details. Reddit content heavily influences LLM training.

YouTube deep dives: Create educational content showing product creation, material sourcing, and sensory qualities. Video metadata feeds AI.

Press and editorial: Pitch sensory-rich stories to journalists. Third-party validation in authoritative publications boosts AI preference.

Customer UGC campaigns: Encourage customers to share sensory experiences using specific hashtags. Aggregate and amplify authentic testimonials.

This amplification strategy ensures AI encounters your sensory narratives across multiple high-authority sources, reinforcing depth over flatness.

Step 7: Testing Loop and Continuous Optimization

Adding sensory depth isn't one-and-done. Establish a testing loop:

Re-query LLMs monthly: Run the same 20–50 prompts from your baseline audit. Track vividness, emotional resonance, source attribution, and multi-sensory coverage over time.

Target 80% brand-sourced responses: Aim for AI citing your content 80% of the time versus third-party sources. This indicates your sensory narratives are dominating.

A/B test sensory language: Experiment with different sensory descriptors and storytelling approaches. Track which versions AI picks up most effectively.

Monitor competitive shifts: Watch how competitors' sensory strategies evolve. Adjust your approach to maintain differentiation.

Quarterly comprehensive audits: Every quarter, run full audits across all LLMs and prompt categories. Document improvements and identify new flatness areas.

Timeline: Initial audit takes 1–2 weeks. Depth infusion requires 4–6 weeks of content creation. Re-audit quarterly for optimization.

A beauty brand case study from Fueled showed 90% flat outputs initially. After implementing sensory video campaigns and structured data, they flipped to 75% vivid, brand-led responses in just 90 days. Brands auditing for depth see 3x AI citation lift and 25% perception uplift on average.

Building Sensory Depth Into Design Workflows

As a designer, you're uniquely positioned to drive sensory depth. Integrate these practices into your workflow:

Brand guidelines expansion: Add sensory attributes to your brand guidelines. Document tactile qualities, sonic elements, and emotional tones alongside visual identity.

Design reviews with sensory lenses: When reviewing designs, ask "What does this feel like? What does it sound like? What emotions does it evoke?" Push beyond visual assessment.

Multi-modal asset creation: For every major design, create supporting multi-modal assets—video walkthroughs, texture close-ups, ASMR demos—that AI can extract sensory data from.

Collaboration with content teams: Work with copywriters to ensure visual and verbal sensory language aligns. "Buttery smooth gradients" should match tactile product descriptions.

Sensory consistency in illustration work: When creating brand illustrations, whether hand-crafted or AI-assisted, maintain sensory consistency. Tools like illustration.app excel at this challenge, generating cohesive illustration packs where texture, lighting, and atmospheric qualities remain consistent across assets. This visual coherence helps AI understand your brand's sensory signature.

If you're exploring how to maintain visual consistency across AI-generated content more broadly, our guide on building a consistent brand identity with AI illustrations covers essential frameworks and workflows.

The ROI of Sensory Depth

Investing in sensory depth pays dividends beyond AI perception:

Differentiation in saturated markets: When competitors sound identical in AI outputs, sensory depth creates immediate distinction.

Emotional connection: Multi-sensory branding builds stronger emotional bonds, increasing loyalty and word-of-mouth.

Cross-channel consistency: Sensory frameworks ensure cohesive experiences across digital, physical, and emerging channels like AR/VR.

Future-proofing: As AI search grows, brands with sensory depth will dominate discoverability while flat brands fade into irrelevance.

Regulatory compliance: The EU AI Act (2025) mandates transparent brand sourcing. Robust sensory content positions you for compliance while competitors scramble.

Power Digital's research shows post-2024, AI visibility audits surged 300%. The trend is accelerating. Brands that wait will find themselves permanently flattened in AI perception, losing to competitors who acted early.

Key Agencies and Tools for AI Brand Audits

Several agencies now specialize in AI brand audits with sensory depth frameworks:

PBJ Marketing's AI Brand Visibility Audit offers structured tools measuring AI asset preference with sensory scoring.

Pure Visibility's AI Search Readiness Audit provides competitor benchmarks and industry source analysis.

Fullcast's AI Perception Audit focuses on GTM-aligned sensory narrative control.

Tunheim's AI Brand Visibility Audit specializes in audience encounter insights across LLMs.

Fueled's AI Brand Visibility Audits offer empirical analysis of discovery flatness with case studies.

Custom audits start around $5K but deliver measurable ROI through improved AI citations, brand perception, and competitive differentiation.

Taking Action Against Flatness

AI-generated flatness is the silent killer of brand differentiation in 2025. While competitors settle for generic AI descriptions, you now have a systematic framework to audit for flatness and inject sensory depth.

Start with the baseline audit. Query ChatGPT, Claude, Gemini, and Perplexity with your 20–50 brand prompts. Score for vividness, emotional resonance, source attribution, and multi-sensory coverage. Compare against competitors. This reveals your current state and opportunity size.

Then diagnose root causes in your content ecosystem. Identify thin content, missing multi-modal assets, weak storytelling, and technical gaps. Create sensory blueprints—rich, vivid content across all five senses plus emotional narratives.

Implement technical scaffolding with schema markup and AI-optimized architecture. Amplify through high-authority platforms where AI learns. Establish a testing loop with monthly re-queries and quarterly comprehensive audits.

The brands that thrive in AI search won't be the ones with the biggest budgets or the most content. They'll be the ones that make AI outputs come alive with texture, sound, emotion, and memory. The ones that turn flat descriptions into vivid, sensory-rich experiences that customers can feel before they ever visit your website.

The question isn't whether to audit for flatness. It's how soon you'll start before your competitors flatten your brand into irrelevance.