AlliHat vs Decode: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of AlliHat and Decode — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
AlliHat
AlliHat
A Safari sidebar extension that integrates Claude, ChatGPT, Gemini and Apple's on-device model for page-aware Q&A and browsing assistance.
Key features
- Multi-Model Integration: Connects and switches between Claude, ChatGPT, Gemini, and Apple's on-device model directly from a Safari sidebar so users can compare outputs or choose a local/private model.
- Page-Aware Question Answering: Understands the content of the active webpage and answers questions in context without leaving the page, enabling fast fact checks and summaries tied to the current content.
- Highlight-to-Answer: Convert selected text into immediate queries or summaries — highlight any passage to get concise explanations, clarifications, or rewritten text.
- Automated Browsing Mode: Can follow links and browse pages on the user's behalf to gather information, synthesize findings, and produce consolidated summaries or action items.
- Inline Sidebar UI: Persistent, non-intrusive sidebar interface inside Safari that provides continuous access to assistants while keeping the browsing context visible.
- Privacy-Focused Option: Supports Apple's on-device AI for local processing when users prefer to keep data off cloud models, offering a privacy-friendly workflow.
- Integrates multiple providers: Claude, ChatGPT, Gemini, plus Apple's on-device model(s)
- Safari sidebar UI surfacing model responses alongside pages
- Page-aware question answering (use current page content as context)
- Highlight text to get instant, contextual answers or summaries
- Automated browsing mode that can follow links and collect context
- Option to leverage on-device models for local processing / privacy
- Supports switching between model providers within the sidebar
Best for
- Web Research and Summarization: Quickly summarize long articles or research pages and obtain concise takeaways without switching apps or copying content.
- Fact-Checking and Source-Based Q&A: Ask targeted questions about a page's content (e.g., verify claims, extract dates or figures) with answers grounded in the current page.
- Drafting Responses with Context: Compose email replies, comments, or notes that reference specific webpage content by using the sidebar to pull relevant passages and craft text.
- Information Aggregation: Use automated browsing to traverse related links, compile data from multiple pages, and produce a single consolidated report or summary.
- Model Comparison and Tuning: Compare outputs from Claude, ChatGPT, Gemini, and on-device models side-by-side to choose the best phrasing or perspective for a task.
- Quick Clarification while Reading: Highlight confusing paragraphs or technical passages to receive immediate, plain-language explanations without disrupting reading flow.
- Research and summarization of web pages without leaving the browser
- Quick inline answers by highlighting page text
- Assisted browsing where the tool follows links and aggregates information
- Content drafting or editing with contextual page references
- Customer support or knowledge work that needs page-specific LLM assistance
Decode
Entropik Technologies
A human insights platform that uses emotion AI, webcam eye tracking, and predictive models to test creative, products, and experiences before launch.
Key features
- Emotion AI Measurement: Face emotion, voice emotion, and text sentiment analysis reveal how respondents actually feel during a study rather than only what they report in an answer.
- Webcam Eye Gaze Tracking: Real eye tracking runs through a participant's own webcam with zero hardware, producing attention heatmaps that show where people look first and what they miss.
- AI Creative Insights: Neuro AI predicts attention, emotional resonance, brand recall, and conversion impact for ad creative, packaging, OOH, and web layouts before media spend is committed.
- Synthetic Audience: Build reusable synthetic personas and compare how each creative performs persona by persona ahead of fielding a study with real respondents.
- AI Moderator: Runs moderated and unmoderated interviews at scale, then extracts themes, emotions, and supporting evidence from raw interview and video feedback automatically.
- Shopper and Shelf Simulation: Simulates real-world shelf and pack testing with attention heatmaps, shelf visibility analysis, planogram optimization, and purchase-intent prediction.
- UX Research Suite: Prototype testing, unmoderated task studies, usability and wireframe testing, card and tree sorting, and live website and app testing, each enriched with gaze and emotion data.
- Global Respondent Panel: Access to more than 103 million respondents worldwide, or bring your own panel free of charge on any plan.
Best for
- Pre-Flight Ad Testing: Comparing creative variations and messaging options to predict which version earns attention and recall before buying media.
- Packaging and Shelf Decisions: Testing pack designs and planograms in a simulated retail environment to forecast visibility and purchase intent.
- Product Concept Validation: Screening product concepts, storyboards, and innovation ideas for early-stage market fit before committing development resources.
- UX Friction Discovery: Running prototype and usability studies where webcam eye tracking and emotion signals expose confusion users cannot articulate.
- Qualitative Research at Scale: Using the AI Moderator to conduct and synthesize many interviews into structured themes instead of manual transcript coding.
- Brand Tracking and Price Testing: Running recurring consumer studies on brand perception, pricing, and the customer journey across multiple markets.