AI copywriting
AI Copywriting enables to generate written marketing and online content, such as news, alerts, blog posts, UX microcopy and social media updates.
Maturity levels
|
Level |
Name |
Description |
Technology |
Example tools |
|
0 |
Absent |
Entirely manual writing. The human is responsible for every word, from research to proofreading. |
None |
Word processors (Word, Pages, LibreOffice Writer) |
|
1 |
Writing assistance |
The tool offers basic suggestions: grammar and spelling correction and synonyms. It does not generate content but improves existing text. |
Rule engines, basic language models |
Antidote, Grammarly, LanguageTool |
|
2 |
Short-form content generator |
The AI generates paragraphs or short texts (UX microcopy, descriptions, slogans) from a prompt. The tone is generic and the content often requires human review. |
Standard LLMs, simple prompt engineering |
Basic versions of Jasper, Copy.ai, Rytr, Frontitude, ChatGPT, Anthropic Claude, Google Gemini, Microsoft Copilot, Mistral |
|
3 |
Specialized writer |
The AI can generate long-form content (blog posts, marketing emails, news) by adopting a specific tone and style (brand voice). It can integrate external information to improve relevance (RAG) and optimize content for a given channel. |
Advanced LLMs (GPT-4, Claude 3), RAG, Fine-tuning, advanced templates |
Jasper (Brand Voice mode), Copy.ai (workflows), TextCortex, Writesonic, Perplexity AI, ChatGPT, Anthropic Claude, Google Gemini, Microsoft Copilot, Mistral (*) |
|
4 |
Autonomous content strategist |
The AI agent plans an editorial calendar, identifies relevant topics by analyzing trends, generates the content, optimizes it (SEO), publishes it, and analyses its performance to autonomously adjust its future strategy. |
AI agent frameworks, reinforcement learning from performance metrics, multi-agent systems |
Mainly at the research stage; no fully autonomous commercial tools to date. |
(*) no 100% accuracy guaranteed
| AI Maturity Level: Indicates the level the technology vendors claim to have reached in deploying AI solutions that actually work in real-world applications |
AI translation assistants
AI Translation assistants help users to translate text and speech, offering features like real-time translation, contextual suggestions and quality checks.
Maturity levels
|
Level |
Name |
Description |
Technology |
Example Tools |
|
0 |
Absent |
Entirely human translation. |
None |
Paper dictionaries |
|
1 |
Statistical translation |
Word-for-word or phrase-based translation based on statistical models. Grammar and context are often incorrect. |
SMT (Statistical Machine Translation) |
Largely obsolete technology, the ancestor of Google Translate |
|
2 |
Neural translation |
The AI translates complete sentences, taking the immediate context into account. The translation is fluent and grammatically correct in most cases. |
NMT (Neural Machine Translation) |
DeepL (basic edition), Google Translate, Microsoft Translator, Reverso, Weglot |
|
3 |
Contextual and specialized translation |
The AI adapts the translation to the domain (legal, medical), tone (formal/informal) and style. It can integrate custom glossaries and preserve document formatting. |
NMT with context, fine-tuning on specific domains, adaptive models |
DeepL , ModernMT, Reverso Context, Linguee, eTranslation (provided by the European Commission), Tilde MT, specialised versions of Google/Microsoft/AWS Translate |
|
4 |
Universal interpreter |
The AI agent provides real-time translation and interpretation (voice) that is perfectly fluent and indistinguishable from a human. It seamlessly captures cultural nuances, humor, idioms and emotions. |
Multimodal models (voice-to-voice), cross-cultural reasoning |
In active research, prototypes exist (e.g., Meta SeamlessM4T) but not at this level of perfection. |
| AI Maturity Level: Indicates the level the technology vendors claim to have reached in deploying AI solutions that actually work in real-world applications |
AI video generator
AI Video generator automatically creates videos from various inputs like text, images or audio.
Maturity levels
|
Level |
Name |
Description |
Technology |
Example tools |
|
0 |
Absent |
Entirely manual video production (filming, editing, special effects). |
None |
Adobe Premiere Pro, Final Cut Pro |
|
1 |
Assisted editing |
The tool automates simple tasks like creating animated slideshows from images, transcribing for subtitles or basic edits based on templates. |
Pre-defined templates, Automatic speech recognition (ASR) |
Canva, Animoto |
|
2 |
Avatar or clip-based generation |
The AI generates simple videos, often by animating an avatar that speaks a given text, or by assembling stock video clips based on a script. The quality is often synthetic. |
Lip-sync, Text-to-speech (TTS), clip assembly |
Synthesia, HeyGen, Pictory, Deepbrain AI, Colossyan, D-ID, InVideo AI, Lumen5 |
|
3 |
Cinematic generation (text-to-video) |
The AI generates short, photorealistic or stylized video scenes from a simple text prompt. It offers control over style, camera movement and object consistency. Duration and narrative remain limited. |
Video diffusion models, implicit 3D modeling |
OpenAI Sora, Pika, Runway Gen-2, Luma AI, Google Veo, Lights Camera Action (LCA), Kling |
|
4 |
Autonomous director |
The AI agent interprets a full script to generate an entire film. It ensures character and location consistency, generates dialogue, the soundtrack and performs complex narrative editing autonomously. |
Unified generation models (video, sound, dialogue), hierarchical AI agents |
Mainly theoretical and in fundamental research. |
| AI Maturity Level: Indicates the level the technology vendors claim to have reached in deploying AI solutions that actually work in real-world applications |
AI image generator
AI Image generator enables a software to create new images from various inputs, such as text descriptions, existing photos or other data.
Maturity levels
|
Level |
Name |
Description |
Technology |
Example tools |
|
0 |
Absent |
Manual creation of images (drawing, photography, graphic design). |
None |
Adobe Photoshop, Illustrator, Cameras |
|
1 |
Filters and simple edits |
The AI applies stylized filters (e.g., “Van Gogh style”) or performs simple edits (red-eye removal) on an existing image. |
Convolutional neural networks (CNNs), style transfer models |
Instagram filters, Prisma, basic “Magic” tools |
|
2 |
Simple generation (text-to-image) |
The tool generates a complete image from a simple prompt. The image is coherent, but control over details (e.g., number of fingers) is weak. |
Early diffusion models, Generative adversarial networks (GANs) |
DALL-E 2, older versions of Stable Diffusion |
|
3 |
Advanced and controlled generation |
The AI creates photorealistic or highly stylized images with a high level of detail from complex prompts. It allows for fine control over composition, style, characters (consistency) and editing of specific areas (inpainting/outpainting). |
Advanced diffusion models, character consistency models, Conditional ControlNets |
Midjourney, DALL-E 3, Stable Diffusion XL, Adobe Firefly, Ideogram, Amazon Titan Image Generator, Krea AI |
|
4 |
Autonomous art-director |
The AI agent designs a complete visual identity for a brand or campaign from a brief. It generates all necessary visuals (logos, banners, illustrations) in a consistent style and adapts them to different formats autonomously. |
AI agent frameworks, real-time fine-tuning, reasoning on abstract concepts |
In the research and development phase. |
| AI Maturity Level: Indicates the level the technology vendors claim to have reached in deploying AI solutions that actually work in real-world applications |
AI SEO assistants
AI SEO assistants help webmasters/copywriters to improve their search engine rankings by automating tasks, analyzing data and providing actionable insights for content and technical optimisation.
Maturity levels
|
Level |
Name |
Description |
Technology |
Example tools |
|
0 |
Absent |
Entirely manual SEO analysis and optimization (keyword research, competitor analysis, writing). |
None |
Google Search, spreadsheets (Excel) |
|
1 |
Keyword analysis |
The tool suggests relevant keywords based on a starting topic and provides simple metrics (search volume, difficulty). |
Statistical analysis, keyword databases |
Google Keyword Planner, Ubersuggest |
|
2 |
Content optimizer |
The AI analyses the content of top-ranking pages and provides a real-time optimisation score. It recommends keywords to include, a heading structure and text length, including basic LLM optimizations. |
Natural Language Processing (NLP), TF-IDF analysis, SERP analysis |
SurferSEO, MarketMuse, Clearscope |
|
3 |
Integrated strategic assistant |
The tool combines keyword research, competitive analysis, content brief generation, AI-assisted writing and on-page optimisation into a unified workflow, integrating advanced LLM optimization. It can suggest internal linking strategies. |
LLMs, RAG on SERP data, Topic clustering |
SurferSEO (with AI writing), GrowthBar, Frase.io, Semrush Copilot, ContentShake AI, SEOpital, Jasper (*) |
|
4 |
Autonomous SEO strategist |
The AI agent continuously monitors SERPs and competitors, identifies new content opportunities, generates and publishes content to the CMS, and autonomously optimizes it for both humans and LLMs. It adjusts the overall content strategy based on ranking results, without human intervention. |
AI agent frameworks, CMS integration, automated monitoring |
Oscar.ia, Botpress |
(*) no 100% accuracy guaranteed
| AI Maturity Level: Indicates the level the technology vendors claim to have reached in deploying AI solutions that actually work in real-world applications |