Brands can now publish content faster, automate customer conversations and personalise campaigns at a scale that was impossible a few years ago. Yet greater output has created a new problem: customers are finding it harder to decide what is genuine. They question whether reviews are real, whether a person approved a message, how companies use personal information and whether public values match business behaviour.

The latest brand authenticity statistics for 2026 show that consumer trust is no longer a soft reputation issue. It can affect purchase decisions, recommendations, loyalty, willingness to pay, customer retention and permission to enter new markets. For brand leaders, the question is no longer whether authenticity matters. The real question is what customers use as proof and whether the business can provide it consistently.

This report brings together recent research from Clutch, Gartner, Edelman, Morning Consult, Emplifi, Alchemer, Usercentrics and Sapio Research. It explains what the numbers mean, where their limits sit and how businesses can turn the findings into clearer brand strategy and stronger customer experiences.

Brand Authenticity Statistics 2026 at a Glance

The headline figures show that authenticity can affect both perception and commercial behaviour. However, these percentages come from different studies, markets and survey questions. They should be read as separate signals rather than combined into one global average.

The research highlights several important findings about authenticity, trust, and consumer behaviour:

• Authenticity influences brand support: 97% of 408 US consumers stated that authenticity affects whether they support a brand.
• Authenticity drives purchases: 85% of US consumers reported buying from a brand because it appeared authentic.
• Inauthenticity reduces loyalty: 81% of US consumers said they had stopped supporting a brand that no longer felt genuine.
• Customers will pay more for authenticity: 70% of US consumers and 85% of more than 1,600 US and UK consumers were willing to pay a premium for brands they perceived as authentic and trustworthy.
• Authentic engagement builds trust: 93% of over 1,600 US and UK consumers agreed that genuine brand interactions increase trust and credibility.
• AI influences brand perception: Half of 1,539 US consumers preferred brands that avoid using generative AI in customer-facing content, while 49% of 307 US consumers believed that generative AI has reduced the quality of available content.
• Transparency strengthens trust: 98% of more than 400 US consumers considered data transparency important for building brand trust, and 52% of 11,000 consumers across seven markets said they would pay more for brands that are transparent about their use of AI.
• Generation Z is more sceptical: Continuous US brand tracking found that 94% of brands received lower trust ratings from Generation Z than from older consumer groups.
• Trust remains a key purchase factor: Among 17,688 respondents across 15 countries, 88% considered brand trust an important or critical factor when making purchasing decisions, ranking it alongside product quality and value.

What These Statistics Measure, and What They Do Not

Statistics about authenticity can become misleading when terms such as trust, transparency, integrity and purpose are treated as interchangeable. A useful analysis must define each concept and preserve the original study context.

Brand Authenticity, Trust and Transparency Are Different

• Brand authenticity is the customer’s perception that a company behaves in a genuine way and remains consistent with its stated identity, values and promises. It answers the question: “Does this company appear to be what it claims to be?”
• Consumer trust is the confidence that a company will act reliably, honestly and responsibly in the future. A customer may find a brand’s personality genuine but still distrust its product quality, privacy standards or ability to deliver.
• Corporate transparency refers to how clearly a company explains relevant information. This can include pricing, materials, sourcing, policies, data collection, product limitations and business decisions.
• Brand integrity is the alignment between stated principles and actual company conduct. Integrity becomes visible when a difficult business decision tests whether the brand will follow its own commitments.
• Brand credibility concerns whether customers believe a company’s claims. Credibility grows when messages are supported by customer outcomes, evidence, expertise and independent proof.

The relationship can be summarised simply:

Transparency gives customers information. Authenticity reflects perceived alignment. Trust represents confidence in future behaviour.

A brand may publish detailed information and still appear inauthentic if its actions contradict that information. It may also communicate warmly while failing to deliver basic product quality. These concepts work together, but none can replace a reliable customer experience.

How Authenticity Changes Consumer Behaviour

Brand authenticity matters commercially because it can reduce doubt. Customers often make decisions with incomplete information. They cannot inspect every supply chain, test every product, or verify every company claim before buying. Trust helps them decide whether the risk feels acceptable.

Purchase Decisions and Buyer Confidence

Clutch found that 85% of surveyed consumers had purchased from a brand because they believed it felt authentic. Emplifi’s research found that 93% believed authentic engagement built trust. These findings suggest that authenticity can help move a customer from awareness into consideration and purchase.

That does not mean authenticity is the only purchase driver. Customers still care about:

• Product quality
• Price
• Value
• Availability
• Convenience
• Delivery
• Previous experience
• Recommendations
• Customer support

Authenticity often strengthens these factors by making them easier to believe. A clear returns policy makes a service promise feel safer. Detailed reviews make a quality claim more credible. Honest product limitations help customers believe the benefits that remain. For B2B and professional service companies, buyer confidence may be even more important because the purchase can involve higher cost, greater career risk and several decision-makers. A clear brand narrative must therefore be supported by case studies, expertise, delivery processes and relevant customer evidence.

Willingness to Pay and Perceived Value

Clutch reported that 70% of respondents were willing to pay more for brands they perceived as authentic. Emplifi reported 85% across its US and UK sample. Usercentrics found that 52% of consumers across seven markets would pay more for brands that were transparent about how AI used their data, with an average stated premium of 7%.

These findings do not mean that a company can add an “authentic” message and increase its prices. A premium still needs supporting value. Customers may accept a higher price when authenticity signals:

• Better product quality
• Safer purchasing
• More responsible sourcing
• Clearer warranties
• Better customer support
• Lower risk
• Proven expertise
• Stronger accountability

Authenticity supports value when customers can connect the claim with something useful. If the product remains poor or the customer experience is frustrating, the message will have little commercial effect. Brands should also separate price tolerance from price insensitivity. A loyal customer may accept a modest difference, but that does not mean price no longer matters. Trust gives the brand more room to compete on value instead of cost alone.

Loyalty, Recommendations and Retention

Authenticity can affect what happens after the first sale. Clutch reported that 62% of respondents recommended brands they viewed as authentic, while 81% had stopped supporting a brand that no longer felt genuine.

A separate Clutch study found that 98% of US respondents made repeat purchases from the same brands during a typical year, yet 55% said their loyalty had changed during the previous five years. The study also found that 96% considered transparency important to earning their loyalty.

Customer loyalty should not be treated as permanent attachment. It can weaken after:

• A drop in product quality
• A poor support experience
• A privacy failure
• Misleading communication
• An unexplained price increase
• A values-action conflict
• A weak response to a mistake

Trust can also create greater forgiveness when the company responds well. Clutch found that 63% of respondents were willing to forgive a brand mistake when the response felt sincere. A sincere response requires more than an apology. Customers want the company to acknowledge the issue, explain what happened, correct the cause and show how the same failure will be prevented.

Trust Can Give a Brand Permission to Grow

A trusted brand may find it easier to introduce a new product, enter a different category or reach another audience. The existing relationship lowers some of the uncertainty attached to change. Edelman found that consumers were almost twice as willing to support a company expanding into new audiences when the brand had earned both trust and relevance. Its report argues that relevance creates fit while trust creates confidence.

This is useful for companies planning:

• International expansion
• New services
• Product extensions
• Repositioning
• Premium offers
• New technology
• A move into a different customer segment

However, trust is not unlimited permission. Expansion must still make sense within the brand’s capabilities and customer expectations. Moving too far from what the company is known for can create confusion.

The Evidence Consumers Use to Judge Brand Authenticity

Customers cannot see a brand strategy document. They judge the company through evidence they encounter during research, purchase and use. The strongest trust signals are therefore practical and observable.

Reliable Product and Service Quality

Product quality is one of the clearest forms of brand proof. Clutch found that declining product quality was the most commonly reported authenticity problem in its survey, cited by 61% of respondents.

Quality includes more than physical construction. Depending on the company, it may include:

• Accuracy
• Reliability
• Ease of use
• Delivery speed
• Safety
• Customer support
• Service consistency
• Responsiveness
• Result quality
• Problem resolution

A brand that promises simplicity but creates a difficult buying process is breaking its promise. A professional service firm that claims clarity but sends confusing proposals has the same problem. The contradiction may appear small internally, yet customers experience it as evidence.

Authentic communication cannot compensate for repeated delivery failures. It can help explain a genuine mistake, but the business must still correct the operating issue.

Transparent Business Practices

Clutch found that 69% of respondents saw transparency about processes or materials as an authenticity signal. Its separate data-trust research found that 98% considered data transparency important to brand trust.

Useful transparency may include:

• Product materials
• Manufacturing location
• Supplier standards
• Pricing structure
• Additional charges
• Delivery times
• Refund conditions
• Data collection
• AI use
• Environmental evidence
• Product limitations
• Service exclusions

Transparency should help a customer make a confident decision. A 10,000-word policy written in legal language may provide formal disclosure without creating meaningful understanding.

Clear communication is often more useful than maximum information. Brands should identify the questions customers genuinely ask and answer them before uncertainty becomes suspicion. For UK and Irish companies, transparency also affects how customers interpret compliance. Meeting a legal requirement is essential, but trust depends on whether the customer can understand what the business is doing and why.

Genuine Reviews, UGC and Peer Recommendations

Customer reviews are one of the strongest ways buyers test company claims. Clutch found that 96% of surveyed US consumers checked reviews before making a first-time purchase. Nearly half said they always checked, while 72% read reviews during comparison and 69% checked them again before completing a purchase. Customers look beyond average ratings. Clutch found that only 15% trusted star ratings on their own. Buyers felt more confident when ratings were supported by detailed written feedback or customer photographs.

Useful forms of social proof include:

• Verified reviews
• Detailed customer stories
• Customer images
• Video testimonials
• Independent ratings
• Case studies
• Peer recommendations
• Community discussion
• User-generated demonstrations
• Public responses to criticism

Perfect reviews can appear less credible than balanced feedback. Clutch’s human-signals study found that 68% would trust a brand more if its testimonials included critical reviews. Brands should not hide every negative comment. A thoughtful response can demonstrate accountability, service quality and willingness to improve.

Consistency Between Values, Messages and Actions

Clutch found that 87% of respondents would stop supporting a brand if its actions violated its stated values. Values-action mismatch was also identified as a leading authenticity failure.

Customers can test brand values through:

• Product decisions
• Employee treatment
• Supplier relationships
• Leadership behaviour
• Environmental performance
• Public partnerships
• Customer policies
• Crisis responses
• Political or social statements

A brand does not need to comment on every public issue. Gartner reported in 2025 that 68% of surveyed consumers were not actively asking brands to take social or political positions. However, 55% said they lost trust when a company reversed an existing position.

The lesson is consistency, not constant commentary. A brand should choose commitments it can maintain and support with evidence.

AI and Personal Data Have Created a New Trust Test

Artificial intelligence and customer data now influence how people judge the full brand, not just the marketing or technology team. Consumers want to understand whether content is real, how decisions are made and what happens to their information.

Consumers Are Questioning Whether Content Is Real

Gartner surveyed 1,539 US consumers and found that 68% frequently wondered whether the content and information they saw was real. Sixty-one percent frequently questioned whether information used for daily decisions was reliable. A later Gartner survey found that 49% believed GenAI had reduced the quality of available content. The figure rose to 57% among Gen Z and millennials.

Consumer concern can apply to:

• AI-written articles
• Synthetic images
• Generated advertisements
• Artificial testimonials
• Virtual influencers
• Voice clones
• AI customer-service agents
• Generated product images
• Automated recommendations

The problem is not simply that AI was involved. Trust falls when customers feel misled, cannot verify a claim or do not know who is responsible for the final output. The growth of low-quality generated content also makes distinctive expertise more valuable. Original research, clear authorship and first-hand experience give customers signals that generic output cannot easily provide.

Responsible AI Requires Disclosure and Accountability

Gartner found that 50% of surveyed US consumers preferred to give their business to brands that did not use GenAI in customer-facing messages, advertising and content. The study did not cover every internal AI use. It focused on material visible to customers. Emplifi found that more than 90% of its surveyed US and UK consumers expected brands to disclose AI use in marketing.

Responsible AI communication should answer practical questions:

• Was AI used to generate or edit the content?
• Did a person review the final version?
• Was customer data involved?
• Who is responsible for accuracy?
• Can the customer ask for human support?
• How can an incorrect decision be challenged?
• What customer benefit does the AI provide?

A company does not need to add a large warning to every AI-assisted task. The level of disclosure should match the risk and customer relevance.

An AI-assisted spelling correction does not create the same trust issue as a generated expert opinion, automated financial decision or synthetic customer testimonial. The strongest approach is accountable AI use. Brands should apply automation where it improves speed or usefulness while keeping human judgement in areas that affect accuracy, safety, emotion or customer rights.

Data Privacy Now Shapes Brand Reputation

Clutch found that 98% of surveyed consumers considered transparency about data collection important to brand trust, while 97% expected companies to maintain strict privacy standards. One-third did not trust brands to handle their information responsibly.

Customers may judge data responsibility through:

• Clear privacy information
• Consent options
• Security communication
• Data minimisation
• Access controls
• Deletion processes
• First-party data collection
• Customer data platforms
• Third-party sharing
• Personalisation settings
• Breach responses

Privacy should not be treated as a legal page hidden in the footer. It forms part of the customer experience and brand promise. A company that claims to respect customers but makes consent difficult to withdraw creates a visible contradiction. A company that collects unnecessary data may also appear less disciplined, even if the collection is technically permitted.

Personalisation Must Provide Clear Value

Usercentrics and Sapio Research surveyed 11,000 consumers across the UK, United States, Germany, Spain, Italy, the Netherlands and Sweden. They found that 71% considered AI-driven personalisation intrusive. However, privacy-aware consumers were much more comfortable with personalisation than people who did not understand how their data was used.

The report identified three main conditions for trust:

• Clear explanations of how data is used
• Strong security guarantees
• Control over what information is shared

The study also found that 47% had taken at least one action with a direct commercial effect because of concerns about AI data use. Actions included cancelling a subscription, switching provider or reducing spending. Personalisation becomes uncomfortable when it feels disproportionate. A relevant product reminder may be useful. A recommendation based on information the customer did not realise had been collected may feel intrusive.

For UK-focused organisations, the Usercentrics report found that 80% of UK respondents would stop using a service if their data was misused.

Businesses serving UK and Irish audiences should therefore explain:

• What information is collected
• Why it is needed
• What benefit the customer receives
• How long it is kept
• Who can access it
• How consent can be changed

Trust improves when customers understand the exchange and retain meaningful control.

Consumer Trust Is Not the Same Across Every Audience

Averages can hide large differences between generations, markets and customer groups. Brand leaders should use global statistics as a starting point, then test the findings with their own audience.

The Gen Z Brand Trust Gap

Morning Consult found that 94% of tracked brands received lower net trust scores from Gen Z than from all US adults. Gen Z’s average net trust score was around eight points lower than the general adult average.

Morning Consult measures net trust by asking respondents how much they trust a brand to “do what is right.” It subtracts the percentage expressing low trust from the percentage expressing high trust. Its 2026 analysis included more than 3,200 brands, with an average of over 10,000 responses for each brand.

The gap does not mean Gen Z actively dislikes almost every company. Morning Consult suggests that several factors may explain it:

• Less accumulated brand experience
• Lower familiarity with legacy products
• Wider institutional scepticism
• Greater exposure to criticism
• Social-media visibility
• Faster spread of negative stories

Older consumers may have used the same household brand for decades. Younger consumers have had fewer years to build that pattern of positive experience.

There is also some evidence that the most severe gaps are narrowing. The percentage of brands scoring at least 10 points lower with Gen Z fell from 43% in the earlier comparison to 33% in the 2026 analysis.

What Causes Consumers to Lose Trust?

Trust usually collapses when the customer sees a gap between the brand promise and operating reality. The message may remain polished, but the experience provides conflicting evidence.

Clutch found that declining quality, robotic communication and values-action mismatch were among the leading authenticity failures. It also reported that 87% would stop supporting a brand when company actions violated stated values.

Most of these problems cannot be solved through copy alone. If a company’s service is inconsistent, rewriting the website may improve the promise while widening the gap with reality. A useful first step is to diagnose where trust is breaking. The issue may sit in positioning, product quality, customer experience, privacy, sales communication, AI use or internal alignment.

The Studio of Possible uses diagnostics to examine audience perception, message clarity, buyer friction and experience performance before recommending a campaign, identity change or growth plan. This helps businesses address the cause rather than adding more activity around the same unresolved problem.

The PROOF Framework for Building Brand Credibility

Statistics explain what consumers report, but brand leaders still need a practical way to act. The PROOF framework connects brand promises with the evidence customers need to believe them.

P: Define the Promise

Every brand creates expectations, whether those expectations are written down or not. The first step is to define what customers should consistently expect from the company.

The promise may involve:

• Product quality
• Speed
• Expertise
• Ease
• Safety
• Service
• Value
• Transparency
• Social impact

A useful brand promise should be specific, relevant and provable. “We care about customers” is too broad. “Every customer receives a named project lead and a weekly progress update” creates a standard that can be delivered and measured.

Ask:

What should customers always be able to expect from us?

R: Compare the Promise With Reality

The next step is to test whether the actual customer experience supports the promise.

Review:

• Products and services
• Pricing
• Sales conversations
• Delivery
• Customer support
• Refunds
• Data use
• Employee behaviour
• Supplier decisions
• Leadership communication

Customer reviews and support conversations often reveal the gap faster than internal workshops. If the company promises simplicity but customers repeatedly describe the process as confusing, the problem is clear.

Ask:

Where does the real experience contradict what we say?

O: Communicate With Openness

Openness means providing information that helps customers make confident decisions.

Useful information may include:

• Prices
• Timelines
• Materials
• Risks
• Limitations
• Data use
• AI involvement
• Terms
• Evidence
• Corrections

Openness does not mean publishing every internal detail. It means identifying the information customers reasonably need and communicating it in language they can understand.

Ask:

Which unanswered questions are creating avoidable doubt?

O: Build Outside Evidence

Customers often trust independent evidence more than brand-owned claims. Edelman’s 2026 report found that unpaid advocates, customers and peers carried greater trust weight than brand-paid voices.

Outside evidence can include:

• Verified reviews
• Customer case studies
• Independent tests
• Certifications
• Expert authors
• Third-party coverage
• Employee expertise
• Customer demonstrations
• Community discussion

The evidence should be specific. A case study that says a project was “successful” provides little value. A case study showing the problem, process, measurable result and customer perspective is much stronger.

Ask:

What can customers verify without relying on our own claims?

F: Follow Through Consistently

Trust develops through repeated delivery. The company therefore needs systems that protect the promise after the initial strategy work.

These may include:

• Brand governance
• Message guidelines
• AI policies
• Review processes
• Customer-service standards
• Employee training
• Escalation routes
• Quality controls
• Leadership accountability
• Regular trust research

Ask:

Who is responsible for making sure the promise remains true?

Where the issue spans positioning, customer experience, internal communication and marketing, a Growth Blueprint can turn the findings into an ordered plan. It can define the priority audience, the main trust gap, the evidence needed, the responsible teams and the measures that show whether confidence is improving.

Consumer Trust Is Earned Through Proof

The latest brand authenticity statistics reveal a consistent pattern. Consumers want companies to communicate clearly, deliver dependable quality, use personal information responsibly and remain accountable for important decisions. They also use reviews, search results, customer stories and peer recommendations to test whether brand claims are believable. AI has increased the need for proof. As generated content becomes easier to produce, clear authorship, human judgement, original expertise and transparent data practices become more valuable. Authenticity cannot be added as a campaign theme. It has to appear in the company’s positioning, products, policies, leadership and customer experience.

The Studio of Possible helps organisations identify where credibility is being lost, clarify what the brand needs to stand for and turn that position into communication, experiences and growth activity that teams can deliver consistently.

References

Edelman Trust Institute: 2026 Trust Barometer Special Report: https://www.edelman.com/trust/2026/trust-barometer/special-report-brands

Gartner: Consumer Preference for Brands Avoiding Customer-Facing GenAI

https://www.gartner.com/en/newsroom/press-releases/2026-03-16-gartner-marketing-survey-finds-50-percent-of-consumers-prefer-brands-that-avoid-using-genai-in-consumer-facing-content0

Clutch: Consumer Data and Brand Trust Survey

https://clutch.co/press-releases/consumer-trust-survey

Emplifi and Alchemer: Digital Authenticity in the Age of AI

https://emplifi.io/press/emplifi-survey-digital-authenticity-ai-report/

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