Maintaining Trust in AI-Assisted Dental Communications

Artificial intelligence is rapidly becoming part of dentistry’s communication infrastructure. Here are two examples of how this is happening:

Practices are using AI-assisted tools to draft patient emails, social media posts, educational materials, and website copy.

Dental manufacturers are experimenting with AI-enabled workflows to accelerate clinician education, product communication, and strategic outreach.

The appeal of this technology is understandable. AI dramatically reduces the time required to organize information, create content, and scale communication. For an industry already challenged by staffing shortages, competitive pressure, and rising patient expectations, efficiency matters. But dentistry may be approaching AI from the wrong direction.

The AI Trust Continuum

Much of the current conversation focuses on automation, speed, and content production. Far less attention has been paid to the issue that may ultimately matter more: trust building. That omission is significant because dentistry operates on a layered trust continuum:

Manufacturers rely on scientific validation, continuing education, and professional credibility to support adoption.

Clinicians trust the technologies, materials, and educational information supporting their recommendations.

Patients trust clinicians to recommend appropriate care.^1,2

Today, AI-assisted communication can exist at every point within that chain—communication that can either build trust or erode it. As AI becomes more deeply integrated into how dentistry communicates, the industry faces a pivotal question: will AI strengthen trust through greater clarity and consistency, or weaken it through over-automation, generic messaging, and erosion of authenticity?

AI Slop: When Speed Replaces Substance

One of AI’s greatest strengths is speed. Tasks that once required days can now be completed in minutes. Campaign drafts, patient communications, educational summaries, and promotional materials can all be produced rapidly with minimal internal resources.

However, communication in dentistry is not simply a production exercise. It must be clinically grounded and emotionally relatable. When this process becomes overly automated, the result is often what many digital communication professionals now refer to as “AI slop”—a growing industry term used to describe AI-generated content that prioritizes speed and quantity over originality, expertise, and quality.

Poor execution to avoid: A practice uses AI to generate website copy describing implant dentistry as “life-changing,” “painless,” “permanent,” or “ideal for nearly everyone.”

Best practice alternative: Use AI to accelerate first drafts, then refine messaging through clinical review and patient-experience insight. Replace generalized claims with contextual communication explaining who the procedure benefits most, what the patient experience realistically involves, and how outcomes vary based on diagnosis and compliance.

Avoiding the Sin of Sameness

One of the least discussed consequences of AI-assisted communication is linguistic convergence, what we like to describe as the “sin of sameness.”

Because AI systems are trained on broad datasets containing widely repeated language patterns, they naturally gravitate toward familiar phrasing and structurally safe messaging. Research increasingly suggests audiences respond negatively when communication feels generic, emotionally detached, or obviously automated. Studies examining consumer perceptions of AI-generated communication have shown that reduced perceived authenticity can negatively impact trust and engagement.^3,4

Poor execution to avoid: A manufacturer uses AI to create campaign messaging for a restorative material using generalized “innovation” language nearly identical to competitors already occupying the category.

Best practice alternative: Use AI-assisted workflows to organize information while integrating practitioner perspective, real-world clinical success stories, and practical implementation examples.

Authenticity Signals Matter More in an AI-Saturated Environment

As AI-generated communication becomes more common, audiences are becoming increasingly sensitive to authenticity signals.

Studies suggest audiences often respond negatively when communication feels emotionally flat, overly polished, generic, or disconnected from genuine experience.

This issue has become especially visible on social media, where users increasingly criticize unrealistic AI-generated faces and smiles, artificial team imagery, anatomically inaccurate visuals, repetitive AI-style writing patterns, and exaggerated marketing language.

Poor execution to avoid: A practice publishes AI-generated social graphics featuring unrealistic smiles and generic office imagery.

Best practice alternative: Use AI strategically while preserving authentic human context:

Incorporate real clinicians and real environments whenever possible.

Refine AI-generated copy to sound conversational rather than formulaic.

Integrate clinician voice, experience, and perspective into educational communication.

AEO Search: Yes, It’s a Matter of Trust

AI is not only influencing how dental organizations create communication, it is increasingly influencing how patients discover information.

Search platforms are rapidly evolving toward AI-generated summaries and answer-based results that prioritize clarity, authority, specificity, and contextual relevance over traditional SEO keyword repetition.

Organizations relying heavily on generic, repetitive, or obviously AI-generated messaging may find it increasingly difficult to differentiate themselves in search environments shaped by artificial intelligence. Conversely, organizations using AI strategically, while integrating authentic expertise, clinically grounded explanations, and human refinement, may strengthen both trust and discoverability.

In many ways, effective answer engine optimization (AEO) is becoming less about producing more content and more about producing communications that demonstrate genuine expertise, specificity, and credibility.^3,4

Conclusion

AI is not eliminating the importance of trust in dentistry. It is increasing it. Used carelessly, AI can erode trust through sameness, over-automation, and loss of nuance. Used strategically, it can reinforce trust by improving consistency, education, communication clarity, and discoverability while preserving authentic human expertise.

As AI-generated communication becomes easier to produce, authenticity may become harder to manufacture, and more valuable than ever.

About the Authors

Michael Ventriello and Mark Ross have a combined 60 years of dental industry marketing experience. They are the co-founders of Personify Group—Dentistry’s Brand Growth Partner. Personify Group is redefining best practices in brand storytelling, creative development, marketing technology, digital media, demand generation, influencer relations, product development, public relations, and investor marketing. More information is available at www.personifygroup.com.

References

1. Berry LL, Parish JT, Janakiraman R, et al. Patients’ commitment to their primary physician and why it matters. Ann Fam Med. 2008 Jan-Feb;6(1):6-13.

2. Street RL Jr, Makoul G, Arora NK, Epstein RM. How does communication heal? Pathways linking clinician-patient communication to health outcomes. Patient Educ Couns. 2009 Mar;74(3):295-301.

3. Schwendicke F, Samek W, Krois J. Artificial Intelligence in Dentistry: Chances and Challenges. J Dent Res. 2020 Jul;99(7):769-774.

4. American Dental Association. Health literacy in dentistry. Accessed May 19, 2026. https://www.ada.org/resources/community-initiatives/health-literacy-in-dentistry