... measure: AI-generated recommendations. Here's how I'd approach measuring it. 1. Don't just track your brand name. Someone searching for your brand already knows you exist. The more interesting question is whether ChatGPT, Perplexity, or Gemini recommends you when someone asks for the best tools in your category. Build a list of 30 50 prompts your potential customers might actually use. For example: What's the best [category] tool for startups? [Competitor

... whether they show up in those answers, or whether the AI is saying something inaccurate about them. We built SKYA to fix that. What it does Tracks how your brand appears across up to 9 AI engines, including ChatGPT, Gemini, Perplexity, Claude, Google AI Overview/AI Mode, Grok, DeepSeek and Copilot Flags hallucinations, where an AI states wrong facts about your product, pricing or features Shows which competitors

... make meraGEO, which launched on Product Hunt today. It asks ChatGPT, Claude and Gemini the questions a buyer would type in your category, and shows whether they name you or a competitor

... Hello guys, While building Murmell, my Co-Founder tried gemini 3.8 and damnnnnnn it's insane it's way too fast and efficient, My ranking today : 1 . Gemini

... pure natural language prompting can push a functional full-stack app. I recently shipped an interactive daily bidding leaderboard where users displace ranks dynamically, resetting every midnight UTC. Coming into this without CS fundamentals, frontend UI generation with Gemini was straightforward, but handling the live plumbing was the real challenge: - Coordinating live bidding state without race conditions - Listening to Dodo Payments checkout webhooks to update the board automatically - Managing daily reset triggers reliably Using Google Antigravity alongside Gemini

... sight. I was literally copy-pasting raw code blocks line by line into files, messing up the codebase beyond recognition, and having a mental breakdown every single night. Feeling utterly betrayed by ChatGPT, I became friends with Gemini and turned to my new AI buddy to vent my frustration. Listening quietly, Gemini

... share what's in it. The part I'm most excited about is the AI Visibility feature. Since search is shifting toward AI answer engines rather than just Google, I built a 6-tab dashboard (Summary, Questions, AI Responses, Competitors, Recommendations, History) that tracks how often a brand gets mentioned when people ask ChatGPT, Claude, Gemini

... developer, and AI API costs were becoming one of the biggest expenses in my projects especially during coding, debugging, research, and repeated testing. So I built Mustham API, a multi-model API platform that provides access to: GPT Claude Gemini Grok You can choose the specific model and route you want instead of having different sources silently mixed together. Many routes are priced at less than half of the corresponding official API price. The platform also provides direct support ... ... api.mustham.com Open the Community section Post your username and ask for testing credits We will add free credits to your account I m especially looking for feedback from developers using real coding workflows, including Cursor, Claude Code, Codex, VS

... optimizing purely for $/task rather than fewest tokens per task, the ranking flips entirely. The free tier landscape just shifted under everyone. Antigravity relaunched in May as a multi-agent suite with a new CLI and Gemini 3.5 Flash as the default model, running roughly 4x faster than Opus 4.8 or GPT-5.5, worth knowing if you'd written it off as the "free but weaker" option. What I haven't found a clean answer to: does anyone have ...

... Like a lot of you, I watched the organic search traffic on my own projects take a massive hit. Between Google s AI Overviews, Gemini, ChatGPT, and Perplexity, the way users find information has completely fractured. We aren't just optimizing for Google's spiders anymore we have to optimize for LLM context windows and brand entity recognition (Answer Engine Optimization, or AEO). The problem? There was no quick, automated way to check if an LLM is actually recommending your ... ... locking out AI search bots. So, I built a tool to solve my own headache. It's called AEO Audit Pro ! Here is what you can check in 30 seconds: AI Visibility Radar: Track exactly how major engines (ChatGPT, Gemini

... Google recently announced and pushed two new models into the Gemini API. For informational purposes, I am breaking down what's confirmed vs

... narrative has been that AI search is a single channel. You optimize for ChatGPT. You win everywhere. The data says otherwise. A 7-month analysis of citation behavior across ChatGPT, ChatGPT Search, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Claude found that every major AI engine has a persistent source preference . Not just a trend. A consistent editorial identity that holds month after month. The breakdown of editorial identities : ChatGPT Search is encyclopedic. It favors Wikipedia for Education ... ... brand-owned domains take the top slot. Google AI Mode is the most exploratory engine. It routes users back to Google properties for Purchase queries and cites LinkedIn for Education intent a signal none of the other engines produced . Gemini

... both content and   product work.   2. Google Search Console I basically live in it. For anything SEO, it's the only honest source of truth   about what's actually happening vs. what I assume is happening.   3. Ahrefs keyword and competitor

... VibeAround v0.6.10 is out. This release focuses on bridge reliability, Gemini setup, and cleaner provider workflows. What changed: - Added Gemini

... shipped a bigger Reddit Summarizer update since the last PH post. The biggest change is the AI model lineup. I removed older/deprecated models, replaced failing ones, and split the current models more clearly by tier. Free now gets: Gemini 3.1 Flash Lite GPT-5.4 Nano (Remember! no sign-up required . Just install extension and use it right away) Pro gets: Kimi K2.6 Grok 4.3 Claude Haiku 4.5 GPT-5.4 Mini Gemini

... VibeAround v0.5.15 is live. This release is about making the local-agent workflow more reliable across more model providers and coding agents, especially if you use Gemini, Vertex AI, DashScope, DeepSeek, Kimi/Moonshot, or Codex with API Bridge-routed third-party models. What changed: - Gemini

... built Offtoco ( https://github.com/PacifAIst/Off... ) a zero-knowledge offline token counter for GPT, Claude and Gemini Tired of pasting prompts into online token counters that send your text to a server you don't control? I built Offtoco to fix that. It counts tokens for GPT (o200k_base), Claude and Gemini

... terminal behavior. If you use multiple agents or providers, switching gets messy fast. Quick Launch lets you create API profiles once, then launch the right agent with the right config injected automatically. Supported CLIs today: - Claude Code - Codex - Gemini CLI - OpenCode Supported provider profiles include Azure OpenAI, DeepSeek, Moonshot/Kimi, MiniMax, OpenRouter, Gemini

... community Exciting update we've just shipped v1.5.0 and it's our biggest release yet! Gemini Export Studio has officially evolved into Gemini

... kept generating images with Gemini for client work and presentations, but the watermark always got in the way. Every tool I tried required uploading the image to a server which felt wrong when the images contained unreleased project visuals. So I built Gemini

... real user queries from search logs, forum threads, and support tickets across 12 industries. We clustered them by intent and generated 1,000 representative questions. We asked those same 1,000 questions to 5 AI models: ChatGPT (GPT-4), Gemini (Ultra), Perplexity (Pro), Claude (4.5 Sonnet), and Llama (3). We ran the experiment daily for 30 days. We tracked every citation at the source level. The goal: measure citation overlap. How often do these models cite the same source ... ... models Overall citation overlap: 23.7% Across all 5 models, the same source was cited in only 23.7% of answers. That means 76.3% of the time, the models were pulling from different places. Model Pair Overlap (%) ChatGPT Perplexity 41.2% ChatGPT Gemini

... months ago, we ran an experiment with our own data. At Rankfender, we tracked 5 of our own competitors across 8 AI systems. We log their share of voice, citation velocity, content gaps, platform variance. Months of raw numbers sitting in a dashboard. I pulled 6 months of data and fed it into Claude. One question: "Based on this, who is most likely to overtake us in the next 6 months? Show your work. Use the data. Don't summarize ... ... Give me the numbers." The answer changed how I think about competition. The dataset: 5 competitors

... Last month, I did something that felt slightly insane. I took our product description, fed it into ChatGPT, and asked it to build a competitor. Not a parody. A real competitor

... just exposure, but the degree to which AI treats your brand as a credible source . Share of Voice (SOV): Represents your brand s voice share within AI narratives the probability that AI mentions your brand rather than a competitor when answering a topic-related question. Sentiment: Captures the emotional tone of AI mentions positive, neutral, or negative showing how AI portrays your brand. Together, these four metrics answer the two most fundamental GEO questions: How frequently does AI mention ... ... brand? and In what tone and context is the brand represented? 1.2 Trends and Competitor

... months ago, I launched a product. Beautiful landing page. Great onboarding. Real customers. Solid retention. One problem: AI never mentioned it. Not in ChatGPT. Not in Perplexity. Not in Gemini. We were invisible. And I didn't know why. So I spent the next 6 months reverse-engineering the answer. Here's what I learned. What I Built The product was solid. Nothing revolutionary, but genuinely useful: Solved a real problem 4.8 stars on reviews 20% MoM growth Customers ... ... project management tool for remote design teams. Here's exactly how we work." Feature lists Problem-solution paragraphs Vague benefits Specific outcomes Lesson #2: AI Loves Comparisons Even If You Lose This one hurt. I avoided mentioning competitors