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 |
Content orchestration |
Multiple specialized AI agents (e.g. strategy, writing, SEO) coordinate to execute complex content workflows end-to-end. They can plan an editorial calendar, identify relevant topics by analyzing trends, generate the content, optimize it (SEO), publish it. The system acts autonomously, requiring human oversight only at strategic checkpoints. |
AI agent frameworks, multi-agent systems, real-time data integrations |
NoimosAI, Copy.ai (Circuits), Jasper (optimization agents), Gumloop. |
(*) 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, bidirectional voice translation with highly expressive audio. It seamlessly adapts to conversational flow, interruptions and emotional tone. |
Multimodal native models (audio-to-audio processing without text bottleneck), cross-cultural reasoning |
OpenAI Advanced Voice Mode, Gemini Live, Meta SeamlessM4T. |
| 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 subtitles or basic template edits. |
Pre-defined templates, Automatic speech recognition (ASR) |
Canva, Animoto, CapCut AutoCut |
|
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 photorealistic scenes from a simple prompts or uploaded reference images. Models now handle complex physical motion, lighting and realistic human rendering. |
Advanced video diffusion models, implicit 3D modeling |
OpenAI Sora, Pika 2.0, Runway Gen-3, Luma AI, Google Veo 2, Lights Camera Action (LCA), Kling AI 1.6 |
|
4 |
Autonomous director |
The AI handles entire multi-shot productions. It ensures character consistency across scenes, generates cohesive dialogue and soundtracks, and handles narrative pacing. |
Unified multimodal generation (video, sound, dialogue), hierarchical AI agents |
LTX Studio, Showrunner, Crreo AI (transitioning from R&D to early commercial access) |
| 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 eraser” 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 Stable Diffusion versions |
|
3 |
Advanced and controlled generation |
The AI creates highly detailed, photorealistic images from complex prompts. It offers fine control over composition, accurate hand/anatomy rendering, and highly accurate typography generation directly within the image. |
Advanced diffusion models, character consistency models, Conditional ControlNets |
Midjourney, DALL-E 3, Stable Diffusion XL, Adobe Firefly, Ideogram 2.0, Flux.1, Leonardo.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 |
Canva Magic Studio (Agentic features), custom enterprise R&D. |
| 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 |
Ahrefs AI Content Helper & Brand radar, SurferSEO (with AI writing), GrowthBar, Frase.io, Semrush Copilot, ContentShake AI, SEOpital, Jasper (*) |
|
4 |
Autonomous SEO strategist |
A single intelligent system where agentic capabilities are embedded at every stage. It autonomously identifies gaps, researches topics, executes optimizations and monitors performance. |
Multi-agent frameworks, deep CMS integration, automated monitoring |
NoimosAI, Averi AI, custom agents built via Lindy |
(*) 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 |