... many found they were invisible. But here's what scared me more: Of those who WERE visible, 43% had incorrect information in AI answers. Not "suboptimal." Not "could be better." Wrong. Outdated pricing. Missing features. Wrong founder bios. Competitors credited for your work. And the average error sticks around for 4 6 months . Today, I'm sharing the full dataset: 1,000+ SaaS products, 75,000+ AI answers, and the hard truth about what's being said about you when ... ... looking. The Dataset Parameter Value SaaS products analyzed 1,024 Total AI answers collected 75,382 Total citations recorded 316,604 Platforms tracked ChatGPT, Google SGE, Perplexity, Gemini

... Last week, we ran an experiment. We asked 50 SaaS founders to do one thing: check if AI answers about their brand were accurate. Not visibility. Not rankings. Just: "Is what ChatGPT, Perplexity, and Gemini say about you actually true ?" The results scared me. The Dataset Metric Value Founders surveyed 50 Companies represented 50 Stages Pre-revenue to 20M ARR Industries SaaS (B2B, B2C, enterprise, SMB) Platforms checked ChatGPT, Perplexity, Gemini

... usually have multiple work items open, each with its own repo and context, while I'm in the terminal doing the real work. Mozzie lets you orchestrate work items and run multiple coding agents in parallel (Codex, Claude Code, Gemini CLI, etc) using your existing AI subscriptions. 100% Free and Open Source ...

... next. PART 1: Why This Matters Now Before we start, understand the stakes: Platform Monthly Active Users AI Answer Prevalence ChatGPT 200M+ 100% of conversations Google 5B+ daily searches 37.8% have AI Overviews Perplexity 15M+ 100% AI-generated Gemini 100M+ 100% AI-generated Total addressable "AI answers" daily: Billions. If you're not in those answers, you don't exist. PART 2: The Complete 30-Minute Audit Step 1: Keyword Selection (5 minutes) Choose 20 keywords to audit: 10 branded ... ... keywords: Your company name Your product names Your founder/CEO name Your flagship features 10 non-branded keywords: "[Your category] best tools" "[Your category] alternatives

... professional developer. But I've been using Gemini Pro heavily for coding, and one thing drove me absolutely crazy every time Gemini

... Average monthly retainer for AI visibility audits 1,200 2,500 Average monthly retainer for ongoing AI visibility + content 2,500 5,000 First-mover advantage is real. The agencies offering this now are locking in clients before competitors even know the category exists. Service Model #1: The One-Time AI Visibility Audit What it is: A comprehensive audit showing where the client appears (or doesn't) across ChatGPT, Google SGE, Perplexity, and Gemini

... upvoted, and shared feedback! One question kept coming up: "How do I actually win in AI search?" So I dug into our data. Rankfender has now tracked over 50,000 AI-generated answers across ChatGPT, Google SGE, Perplexity, and Gemini. We've analyzed millions of citations, thousands of brands, and hundreds of industries. Here's what we learned and what it means for your business. Part 1: The state of AI search in 2026 AI answers are everywhere. We analyzed ... ... schema 71% 19% Cite data sources 68% 27% Part 3: What content wins AI citations? This is the question everyone asks. Here's the data: Top 5 content types by citation rate: Comparison pages (X vs

... paying for 5 AI subscriptions: Claude Pro, Cursor Pro, ChatGPT Plus, Copilot, and Gemini Advanced. $90/month total. I assumed I was using all of them heavily. Turns out I was wrong. When I built TokenBar (a menu bar app that tracks AI usage limits), the first thing I noticed was that my Gemini

... connects directly to GSC and runs real-time analysis across 50+ SEO aspects: Top Page and Query Performance Top Mover Delta Analysis Growth and Decay Analysis Performance Trends Rank Disparity Analysis CTR Uplift Analysis Impression and CTR Segmentation Brand vs. Non-Brand Performance Cannibalization Analysis Topical Cluster Performance Device Parity Analysis Device Distribution Country Performance Long Tail Performance Trust and Authority Analysis Then it doesn't just report it. It moves from Performance Opportunity Analyze Fix Apply. Automatically. Comes with ... ... Nuwtonic's GEO/AEO/AIO pipeline runs: AI Search Audit Issues Suggestions Fix Apply Covering single URL audits, bulk URL audits, and full site audits. Then: AI Brand Visibility Brand Analysis Prompt Run Prompt Tracking Competition Tracking Citation Tracking Monitored across Gemini

... matters. Product Hunt also plays a significant role in how products appear in Google search results. What surprised us was that AI assistants like ChatGPT were rarely citing Product Hunt in product recommendations. AI assistants such as ChatGPT and Gemini rely on reviews, alternative

... knows who it's talking to. Agent State Persist arbitrary key-value state with optional TTL. Perfect for multi-step workflows, wizard progress, or agent continuity across sessions. Multi-Provider, Shared Memory Both SDKs support OpenAI, Anthropic, and Google Gemini out of the box. The provider is auto-detected from the model name. Switch models freely memories are shared across all providers. // Learn with GPT-4o await chat.process({ content: 'I love hiking', model: 'gpt-4o-mini' }); // Recall with Claude await ... ... chat.process({ content: 'What do I love?', model: 'claude-sonnet-4-20250514' }); // Recall with Gemini

... update which is soon going to be live on Chrome Web Store will contains the feature to extract Fan-Out Queries from Gemini as well. https://chromewebstore.google.co... ...

... Cursor. I ve tried Codex CLI. I ve played with Gemini CLI. They re impressive at generating code . They re bad at remembering work . Every new session starts with: re-pasting requirements re-explaining decisions re-linking docs re-defining scope That s not a model problem. That s a workflow problem . In real dev teams, context lives in: tasks comments docs decisions Not in someone s clipboard. So I ve been experimenting with a task-first CLI flow: blocpad ...

... suggestion Comment from fmerian(@fmerian): @navedux  Devstral 2 (Small) by @Mistral AI is released under Apache 2.0 afaik Comment from fmerian(@fmerian): @navedux  good q! personally i had good frontend results with both Opus 4.5 and Gemini 3. hope it helps Comment from fmerian(@fmerian): @navedux  ICYMI Moonshot just announced Kimi K2.5, "the strongest open-source model to date for coding, with particularly strong capabilities in front-end development." ( source ) currently free on @Kilo Code btw. hope ... ... best Comment from andrew zakonov(@andrewzakonov): not that simple in my experience, depends on tech stack and task complexity (I see diff winners on diff datasets) overall, I d go with claude opus 4.5 for complex tasks, but gemini

... Quality-of-Life updates : New: Save prompts in 20sec From any site straight to your Library Save from History to Library Save your best prompts directly from History into your Library for easy access Pretty Prompt for Gems Works on Gems

... notable shift in the AI landscape, Apple and Google have announced a multi-year collaboration under which Apple s next generation of Apple Foundation Models will be based on Google s Gemini models and cloud technology. According to the joint statement , these models will help power upcoming Apple Intelligence features, including a more personalized Siri, expected later this year. Apple emphasized that inference will continue to run on-device and via Private Cloud Compute, maintaining its stated privacy standards. What ... ... framing : Apple says that after careful evaluation, it concluded Google s AI provides the most capable foundation for its future models. That s a rare and fairly explicit acknowledgment in an industry where vendors usually avoid naming competitors

... Mnexium AI Now supports all three major AI providers! OpenAI ChatGPT models Anthropic Claude Models Google Gemini Models NEW Why this matters: Your users can now seamlessly switch between providers while keeping their memory and context intact. Learn something with GPT-4 Recall it with Gemini

... seekers shouldn t be forced to pay heavy monthly subscriptions just to use AI. Let s be honest: GPT, Gemini, Claude the intelligence already exists In many cases, users can access these models for free or at very low cost So what are people really paying for today? Not AI. Mostly packaging, branding, and margins . That doesn t sit right with us. If a platform is providing: dashboards tracking workflows storage infrastructure Then yes charging for infrastructure and product value ... ... makes sense. But charging job seekers $30-$50/month just to rewrite resumes using AI they already have access to? That s broken. BYOK flips the model You bring your own Gemini

... everyone we just launched the LLM Chat Scraper series. If you need large-scale LLM Q&A data that reflects the actual responses users see in the web UI, this might help: Supports ChatGPT, Perplexity, Copilot, Gemini, Google AI Mode Captures front-end (web UI) responses unaffected by logged-in context/state Web search support included so you get full citation data when the model references sources We only bill for successful captures; failed/error requests are not charged ...

... working on Ranky.site because businesses are currently losing millions in revenue due to invisibility to AI models. Ranky exists to provide the first affordable, plug-and-play Generative Engine Optimization (GEO) solution, ensuring brands get cited by ChatGPT, Gemini, and Claude without needing an enterprise budget. The Shift: Moving from SEO to GEO. The Pain Point: "Invisible" to AI and losing traffic. The Solution: Affordable ($9/mo) and effective optimization. The Platforms: Mentioning ChatGPT, Gemini

... everyone, We ve just released several new updates to GemsAround and we re inviting our community to help test them! GemsAround

... Just tried asking Gemini 3.0 to create a pitch deck for MindPal, and the result was mind-blowing! Full slides: https://www.tella.tv/video/mindp... Want to give it a try? Just head over to MindPal -> generate a no-code AI agent powered by Gemini

... Today, Google dropped Gemini 3 and "Antigravity," and the raw reasoning power is incredible. It s a massive leap for AI. But it reinforced exactly why we built Dropstone AI . Big foundational models are like visiting a genius consultant: they are smart, but they don't know you , they don't know your history, and they require you to send your data to their office (the cloud). Dropstone is different. It s not just a wrapper; it s a Recursive ... ... Self-Improving Environment that lives locally on your machine. Why Dropstone still matters in the Gemini

... content as narrative. We ve created GenStory, a brand-new, independent AI creation platform designed so that anyone and any brand can easily build their own story-framework. At the same time, we ve built on the API of Gemini Storybook as a technological base, and through deep optimization and integration with other large-model capabilities, we have built a storytelling engine that is more creator-friendly, more flexible, and more intelligent. 1. What is GenStory? Why should ... ... focus on two key words: consistency (text and visuals remain unified) and co-creation (you are not commanding a machine; you are collaborating with AI) truly letting you be the lead, and AI be your assistant. 2. How does Gemini

... Last week, @Gemini 3. Today, @Claude by Anthropic Opus 4.5. Embraced by the community on X, did Anthropic win the AI coding race? To quote @rauchg ( source ): Opus is on a different level. It's unreasonably good at @Next.js and the best model we've tried on @v0 by Vercel to date. Comment from Shoji Shinzo(@shoji_shinzo): Yes, even compared to sonnet Gemini