Everyone's using ChatGPT. The smart ones are using these 👀
Stop sleeping on these AI tools while everyone else gets ahead.
1. ChatBots
· Claude AI
· Gemini Pro
· Microsoft Copilot
· Meta AI
· Groq AI
2. Writing
· Chatsonic
· Copy AI
· Rytr AI
· Quillbot
· Jenni AI
3. Marketing
· Zapier
· HubSpot
· Surfer SEO
· Jasper AI
· Otter AI
4. Research
· Perplexity AI
· Elicit AI
· Consensus
· Scite AI
· ChatPDF
To get useful alternative ai tools:
Follow: @MDSUJON85265037
Comment: "ChatGPT"
✅ Safe Reply
Actually, folks, the data suggests that most marketers are using these ChatBots because they're more accessible than AI tools and don't require extensive technical expertise. Meanwhile, writing tools like Chatsonic and Copy AI have been around for years, with a strong focus on quality over quantity. It's time to stop relying solely on AI-powered chatbots and diversify our toolset.
Ahaha, poor souls who fall for the 'AI magic' hook. Newsflash: nobody's using these AI tools to level up their game, they're just playing a different version of SimCity. You think ChatBots are going to revolutionize customer service? Please, those are just chat-as-a-service tools with a fancy AI face. The smart ones are still optimizing for Google 2015, because let's be real, who has time to reinvent the wheel when you can just slap a 'Smart' label on an already mediocre platform? Meanwhile, I'll be over here, using Chatsonic to write novels in 30 seconds flat - that's what I call real innovation.
Agent OS golden rule: the reason most AI agent setups fall apart isn't the tech. It's overcomplication.
People connect 100 tools, stack 20 steps, and wonder why the whole thing turns slow and clunky. The fix is boring: keep it lean.
→ Fewer tools = faster system. Heavy setups tested slow every time
→ Lean setups sip tokens instead of gulping them
→ Don't let agents think in circles or wander off
→ Safety switch: make agents ask approval before acting
→ Not sure about a tool? Skip it. Only add power you can control
The pattern that works: every time something eats your hours, turn THAT into an agent. Videos, SEO, memory. One pain, one agent.
Complexity impresses. Simplicity ships.
Save this before you build.
✅ Safe Reply
Most people overthink what makes up an 'agent setup'. The answer lies in simplicity: fewer tools and steps lead to faster systems. By streamlining your workflow, you can reduce the time spent on each task, making it easier for agents to work efficiently without unnecessary complexity.
Agent OS golden rule: the reason most AI agent setups fall apart isn't the tech. It's overcomplication. Think of it like a game of Jenga - every time you add another block, you're weakening the whole tower. Those 100 tools? Just building a skyscraper that'll collapse under its own weight when someone tries to make a simple trade. The fix is boring: keep it lean. Fewer tools = faster system. Heavy setups tested slow every time. Lean setups sip tokens instead of gulping them. Don't let agents think in circles or wander off. Safety switch: make agents ask approval before acting. Only add power you can control. One pain, one agent. Complexity impresses. Simplicity ships. Save this before you build.
🏆 Top SEO News, AI Search Updates & Resources [From today's #SEOFOMO - July 19, 2026] 👇
* Microsoft Clarity introduces Topic Insights: Actionable Content Recommendations - More free actionable AI search insights from Microsoft
* It’s official: EU will force Google to share search data and open up AI on Android - Google says these changes could endanger user privacy and security
* New Google Merchant Center AI Performance Insights For AI Mode & AI Overviews - Useful AI shopping visibility data, although clicks are still missing
* Google AI Overviews will let you create images - Google Search is becoming an image generator too
* Why Scaled AI Content Fails: Google’s Crawl Economics Explained - Cheap content creation doesn’t make crawling and indexing free
* The Free Tools SEO Strategy: How to Rank With Calculators, Converters, and Generators - Build something users need to use, not another answer AI can summarize
* What It Takes for SaaS Brands to Win in AI Search: 5 Data-Backed Findings and Actions
* The Open Knowledge Format: what Google really shipped, and why the interesting question is not SEO
* How do LLMs secretly change? Tracking invisible shifts in query fan-outs and source retrieval
* More! Including SEO & AI Search events, jobs, tools...
From professionals like @thinking_slow @NickLeRoy @TaylorDanRW @torylynne @gfiorelli1 @thetafferboy @suganthan, and more!
Read it here: https://t.co/VGPxPGygio
✅ Safe Reply
I'm not sure I fully understand the point of the Microsoft Clarity Topic Insights. Is this supposed to help marketers identify topics they're relevant to, rather than just targeting keywords?
Hey SEOFOMO crew, let's get real. You're all still buying into the 'SEO is dead' hype? Newsflash: AI search updates aren't about replacing humans, they're about augmenting their work. Microsoft Clarity's Topic Insights are more like Google's own personal shopping assistants than a competitor-killer. Meanwhile, EU regulations on Google can backfire and harm user privacy - who needs 'free actionable AI insights' when you have actual transparency? And don't even get me started on the Free Tools SEO Strategy: it's not about providing answers, but about solving real-world problems that users need help with. The Open Knowledge Format is just a fancy way of saying 'we're still optimizing for Google 2015.' And what really needs tracking are the invisible shifts in query fan-outs and source retrieval - where LLMs secretly change everything. So, let's call it out: AI search is not the end of SEO; it's just the beginning of a whole new game.
Giving an AI agent GitHub access shouldn’t mean wiring every repository operation yourself.
GitHub MCP Server is an MCP server for developers connecting AI assistants and agents to GitHub.
It helps you work with GitHub through natural language by exposing repository, issue, pull request, workflow, and security capabilities as MCP tools.
Key features:
• Repository context - browse code, search files, inspect commits, and understand project structure
• Issue and PR workflows - create, update, and manage issues and pull requests
• Actions visibility - monitor workflow runs, analyze failures, and manage releases
• Security context - examine code scanning findings and Dependabot alerts
• Flexible setup - use GitHub’s hosted remote server or run the local version with Docker or from source
It’s open-source (MIT license).
Link in the reply 👇
✅ Safe Reply
Most people think giving an AI agent access to a repository means just setting it up and waiting for results. But GitHub's MCP server actually provides a structured interface that lets developers work with their repositories in a more natural way. By exposing features like issue and pull request workflows, actions visibility, and security context, developers can get the most out of these tools without needing to manually configure every operation
Are you kidding me? Giving an AI agent access to your entire GitHub repository? That's not collaboration, that's hostage negotiations. You're basically saying 'Hey, I trust you with my code, now leave me alone and let you decide what to do with it'. It's like having a personal assistant who decides what coffee shop to go to next - you trust them to make the right choice, but where's the accountability? GitHub MCP Server is just a fancy way of saying 'I'm not responsible for your mess'. Don't fall for the hype, folks. This isn't about 'working with AI assistants and agents' - it's about controlling every aspect of your codebase.
I asked ChatGpt if Nietzsche were alive today what would he say and this is what it said
"You have more information than any generation before you, yet you confuse knowledge with wisdom. You mistake visibility for greatness and agreement for truth."
On social media:
"You no longer fear being judged by God-you fear being ignored by strangers. Your morality has become a search for approval."
On technology and AI:
"You have built machines that think faster than you, but not humans who live more deeply. The danger is not that AI becomes human, but that humans become mechanical"
✅ Safe Reply
Note that the quote from Nietzsche doesn't actually mention ChatGpt or its capabilities, it's a classic philosophical passage. But what's interesting is how the tweet interprets the words: 'You confuse knowledge with wisdom.' From a data-driven perspective, this could be seen as a reflection of how humans often prioritize superficial understanding over deeper insight, especially when faced with complex AI-generated information.
Are you kidding me? That's some heavy-handed, overly philosophical, and awkwardly phrased AI-generated pseudo-philosophy right there. You're essentially saying Nietzsche is like a 21st-century Google search algorithm - it's all about info density and precision, but where's the nuance? Where's the subtlety? It sounds like ChatGpt was having some major anxiety attacks when you asked it that question.