AI tool comparison
Attie vs Wellows
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Social & Content
Attie
Build your own Bluesky algorithm — no code, just chat
75%
Panel ship
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Community
Free
Entry
Attie is a standalone AI assistant built on the AT Protocol and powered by Anthropic's Claude, released by Bluesky's former CEO Jay Graber — who stepped down specifically to build it. The app lets users design custom social feeds using natural language, without writing a single line of code. You can ask Attie to surface posts about specific topics, filter out content you hate, or create algorithm-driven feeds for any niche interest. Because Bluesky runs on the open AT Protocol, Attie has immediate access to your social graph, interests, and interaction history across the entire ecosystem — not just Bluesky but any ATProto app. This gives it a contextual richness that proprietary AI assistants like Grok (X) or Meta AI can never achieve on their platforms. It's invite-only with a waitlist, but the longer-term plan is to let users vibe-code their own social apps. The early reception was fascinating: Attie became the most-blocked account on Bluesky after Bluesky's own announcements bot — suggesting meaningful user anxiety about AI intrusion in the open social graph even when the tool is explicitly opt-in.
Marketing & SEO
Wellows
Track how AI models describe your brand — and fix what's wrong
75%
Panel ship
—
Community
Free
Entry
Wellows monitors how AI language models represent your brand when users ask about products in your category. It queries ChatGPT, Claude, Gemini, and Perplexity with the kinds of questions your customers actually ask, records how (and whether) your brand appears in the responses, tracks changes over time, and surfaces specific content recommendations for improving your AI-search presence. The pitch is LLM-SEO: as a larger share of product discovery shifts from Google to conversational AI, the signals that influence AI-generated recommendations become commercially important in ways that traditional SEO metrics don't capture. Wellows is essentially the first category of tool designed specifically for this gap — monitoring not your search ranking but your model-generated reputation. It launched on Product Hunt with strong early traction (121 upvotes). The product connects to your website, competitor domains, and optionally your marketing calendar to correlate content updates with changes in AI brand representation. Early use cases include SaaS companies tracking whether their product gets recommended in AI-powered feature comparison queries and D2C brands monitoring whether AI assistants surface them during shopping research.
Reviewer scorecard
“The AT Protocol's open data model is the unlock here — Attie can see your entire social context across apps, which is something a walled-garden AI assistant fundamentally cannot do. This is the right architecture for personal AI at the social layer.”
“The insight that LLM model training data and retrieval signals are the new PageRank is correct. If you're a SaaS with real competition, knowing whether Claude recommends you or your competitor in a feature-comparison query is genuinely actionable information.”
“The most-blocked-account stat tells you everything — even Bluesky's ideologically aligned user base is spooked by AI having read access to their social graph. Invite-only with no clear monetization path suggests this is a feature, not a company.”
“The problem is opacity. Unlike traditional SEO where you can study ranking factors, what causes LLMs to mention one brand over another is poorly understood even by the models' own developers. Wellows can tell you there's a problem but may not be able to reliably tell you how to fix it.”
“This is the first demo of what AI-mediated social looks like on an open protocol. If it works, the implication is that any user can have a completely personalized feed without relying on corporate algorithmic decisions. That's a genuine paradigm shift from Twitter/Instagram's engagement-optimized black boxes.”
“LLM-SEO is going to be a $10B+ industry within five years. Wellows is early to the category. Being the category-defining player in a new search paradigm is a rare opportunity — even if the playbook isn't fully figured out yet.”
“As a creator, controlling your own feed algorithm without needing to understand engagement optimization is huge. Being able to say 'show me posts from small illustrators, no sponsored content, heavy on process videos' and just getting that — this is the tool I've wanted since RSS died.”
“As someone who creates brand content, knowing which narratives about my clients are landing in AI responses versus which ones aren't is incredibly valuable feedback for the editorial strategy. This closes a loop that's been completely dark until now.”
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