
D-ID vs Synthesys in AI face-video and voice synthesis for film and education.
Which brand leads in AI visibility and mentions.
Brands most often recommended by AI models
Top Choice
Models Agree
Overall ranking based on AI brand mentions
Rank #1
Total Analyzed Answers
Recent shifts in AI model responses
Rising Star
Growth Rate
Analysis of brand presence in AI-generated responses.
Brands ranked by share of AI mentions in answers
Visibility share trends over time across compared brands
Key insights from AI Apps comparisons across major topics
D-ID edges out as the safer entertainment tool under deepfake regulation due to slightly higher visibility and perceived focus on ethical AI practices across models.
ChatGPT shows a slight favoritism towards D-ID with a visibility share of 9.3% compared to Synthesys at 8.7%, suggesting a stronger association with regulatory or safety discussions. Its tone is neutral, focusing on visibility without explicit sentiment on safety.
Gemini perceives D-ID and Synthesys equally with a visibility share of 2.5% each, showing no clear favoritism in the context of deepfake regulation. Its tone remains neutral, lacking specific reasons or regulatory focus.
Grok assigns equal visibility to D-ID and Synthesys at 2.5% each, with no discernible preference regarding safety under deepfake regulation. Its tone is neutral, with mentions of regulatory bodies like the Federal Trade Commission but no direct link to either brand’s safety.
Deepseek views D-ID and Synthesys equally with a 2.5% visibility share, offering no preference on safety under deepfake regulation. Its neutral tone includes references to ethical AI frameworks like C2PA, but these are not tied specifically to either brand.
Perplexity sees D-ID and Synthesys equally with a 2.5% visibility share, showing no bias towards either in the context of deepfake regulation safety. Its tone remains neutral, with no deeper reasoning provided on regulatory compliance.
D-ID slightly edges out Synthesys in terms of perceived emotion control among AI voice models, driven by its consistently higher visibility share and implied focus on nuanced expression across multiple models.
Perplexity shows no clear favoritism between D-ID and Synthesys, both holding a 2.5% visibility share. Its neutral tone suggests equal consideration for emotion control capabilities without distinct differentiation.
ChatGPT leans toward D-ID with a 9.3% visibility share compared to Synthesys at 8.7%, indicating a slight preference possibly tied to better emotion control features. The tone is positive, reflecting confidence in D-ID’s capabilities for entertainment applications.
Grok favors D-ID with a 3.1% visibility share over Synthesys at 2.5%, potentially due to perceived superior emotion control in voice synthesis. The tone is neutral to positive, suggesting a moderate endorsement of D-ID’s innovation in this area.
Gemini gives a slight edge to D-ID at 3.1% visibility share versus Synthesys at 2.5%, likely reflecting a belief in stronger emotion modulation. Its neutral tone indicates a balanced view with a marginal preference for D-ID.
Deepseek treats D-ID and Synthesys equally, both at 2.5% visibility share, showing no preference in emotion control capabilities. The tone is neutral, implying an undecided stance on which offers better performance in entertainment contexts.
D-ID slightly edges out Synthesys in managing consent verification based on broader visibility and perceived relevance across AI models, though the distinction is not stark due to limited explicit reasoning on consent specifics.
ChatGPT shows a clear favoring of D-ID and Synthesys equally with an 8.7% visibility share each, significantly higher than other brands, suggesting a stronger association with consent verification contexts. The tone is neutral, focusing on visibility metrics without explicit sentiment on performance.
DeepSeek perceives D-ID and Synthesys equally with a 2.5% visibility share, indicating no clear preference in the context of consent verification. The tone remains neutral, with data suggesting balanced relevance but no specific insights into user experience or adoption.
Gemini mirrors DeepSeek, assigning equal visibility (2.5%) to D-ID and Synthesys, reflecting a neutral stance with no differentiation in consent verification capabilities. The lack of deeper reasoning suggests a focus on broad recognition rather than specific strengths.
Perplexity equally ranks D-ID and Synthesys at 2.5% visibility share, showing no favoritism and maintaining a neutral tone on their consent verification effectiveness. The perception leans on general relevance rather than detailed user or institutional adoption patterns.
Grok assigns equal visibility (2.5%) to D-ID and Synthesys, presenting a neutral tone with no evident bias in consent verification management. The focus appears to be on ecosystem presence rather than specific strengths or community sentiment around consent processes.
D-ID appears to be slightly more popular than Synthesys among educators and filmmakers across the models, driven by a marginally higher visibility share in key models like ChatGPT and DeepSeek.
Perplexity shows no favoritism between D-ID and Synthesys, assigning both a visibility share of 2.5% in a limited dataset of 4 questions. Its neutral tone suggests equal recognition among educators and filmmakers.
ChatGPT equally represents D-ID and Synthesys with an 8.7% visibility share each across 14 questions, indicating balanced popularity among educators and filmmakers. The neutral tone reflects no clear preference despite a broader contextual dataset.
Gemini perceives D-ID and Synthesys equally, both at a 2.5% visibility share in a small pool of 4 questions. Its neutral sentiment indicates no distinct preference in the context of educator and filmmaker adoption.
DeepSeek slightly favors D-ID with a 3.1% visibility share compared to Synthesys at 2.5% across 5 questions, suggesting a marginal edge in recognition among target audiences. The positive tone for D-ID hints at stronger community sentiment or adoption potential in educational and creative sectors.
Grok leans toward D-ID with a 3.1% visibility share against Synthesys, which is not directly highlighted in the top visibility shares among 5 questions. Its positive tone for D-ID implies a stronger association with platforms relevant to educators or filmmakers.
D-ID emerges as the leading brand for realistic voice-lip sync in entertainment across most AI models due to its consistently higher visibility share and implied superior performance in user perception.
Perplexity shows no favoritism between D-ID and Synthesys, with both holding an equal visibility share of 2.5%. Its neutral sentiment suggests an undecided stance on which achieves more realistic voice-lip sync.
ChatGPT slightly favors D-ID with a visibility share of 9.3% compared to Synthesys at 8.7%, indicating a marginal preference for D-ID in achieving realistic voice-lip sync. Its positive sentiment reflects confidence in D-ID’s capabilities based on higher user or contextual association.
Gemini leans toward D-ID with a visibility share of 3.1% over Synthesys at 2.5%, suggesting a preference for D-ID in voice-lip sync realism. Its neutral-to-positive sentiment highlights a focus on D-ID’s relevance in entertainment applications.
DeepSeek prefers D-ID with a visibility share of 3.7% against Synthesys at 3.1%, pointing to a slight edge for D-ID in realistic voice-lip sync. Its positive sentiment implies D-ID is perceived as more prominent or effective in this domain.
Grok favors D-ID with a visibility share of 3.1% compared to Synthesys at 2.5%, indicating a preference for D-ID in voice-lip sync quality. Its neutral-to-positive tone suggests a focus on D-ID’s adoption or recognition in entertainment contexts.
Key insights into your brand's market position, AI coverage, and topic leadership.
D-ID creates photorealistic talking heads from still images, enabling AI-driven video narration and education content.
Synthesys specializes in AI voice generation and human-like narration for films, games, and corporate media.
Yes, deepfake misuse for impersonation or misinformation remains a global ethical concern.
They supplement human talent, offering scalability for low-budget and multilingual projects.
Generated voices can be copyrighted if tied to creative works, but ownership remains legally gray.