What happens when you ask ChatGPT to humanize your text so it passes every Al detector?
I tried this and the results came back as 0% Al generated. Here’s how: 1. ���Tell Chat: “I want you to humanize all my text moving forward so it doesn’t sound like Al.” 2. ���Go to the Wikipedia page on signs of Al writing and have Chat list every single pattern that gives away Al text 3. ���Stay in the same chat and say: “Build me a personal humanizer skill based off everything we just found so I never have to explain this again.
Chat builds you your own custom humanizer skill. Install it and now just type /humanizer before you write anything.
But it disappears in AI answers. Big shoutout toAnna Yorkfor originally posting this When someone asks ChatGPT: “What’s the best [tool/service/solution] for X?” Your page either: → gets cited → or gets ignored Most marketing teams are only optimizing for Google. Here’s what AI actually looks for 👇 1. Outcome-driven headline 2. Clear entity positioning 3. Direct, extractable answers above the fold 4. Buyer-intent Q&A sections 5. Real case studies (names + numbers) 6. Verifiable authority signals 7. Structured schema markup 8. Topical authority reinforcement 9. Citable stats and claims 10. Consistent positioning 11. Transparent pricing logic 12. Strong conversion CTAs This builds on traditional SEO. AI selects answers it can trust and cite. If your page isn’t structured for that → it won’t show up. The good news: You don’t need a rebuild. You need the right fixes in the right order. If you need a step-by-step AI visibility guide: 👉https://lnkd.in/d9GuGVEk Build for citation, not just clicks. ♻️ REPOST so others can learn too.
I want to audit what ChatGPT currently understands about my brand.
My brand:
- Brand name: [Brand]
- Website: [URL]
Based only on your existing knowledge of my brand, answer the following:
1. How would you describe my brand in one paragraph?
2. Who do you believe my target audience is?
3. What products or services do you think I offer?
4. What topics or categories do you associate with my brand?
5. Who do you see as my main competitors?
6. What information are you uncertain about or unable to confidently answer?
7. What misconceptions or inaccuracies might someone have based on the available information?
8. Based on these gaps, what content, PR, partnerships, or website improvements would help strengthen my brand's representation in AI systems?
Finally, score my brand's representation out of 10 and explain the biggest opportunities to improve it.
When Claude first launched, it was easy to lump it in with ChatGPT and Gemini. And, some people unknowingly still do that. But over the past year, Anthropic has steadily expanded Claude from a conversational assistant into something closer to an AI workspace.
It can build working software, search the web, run multi-step research projects, produce polished documents, write and ship code from your terminal and connect to the apps you already use. Some of these features are available on the free plan. Most get significantly more powerful on a paid one.
1. Build working apps and tools through conversation
(Image credit: Future)
Artifacts remain one of Claude's most distinctive features. Describe what you want, such as a graphing calculator, a quiz, a data dashboard or a game and Claude builds it in a live panel right next to the conversation. You're not receiving a block of code to copy somewhere else.
You get a functioning tool you can use immediately and refine through follow-up messages. This applies to visualizations too. Ask Claude to chart your data or map out a timeline, and it generates interactive artifacts you can explore, not static images.
I've used it to build a portfolio site, educational games for my kids, budget trackers for my family and productivity tools. The ability to preview the results in real-time is a game-changer.
2. Search the web in real time
(Image credit: Future)
Claude can search the web when a question requires up-to-date information. That means it can pull in breaking news, compare recently released products, verify announcements, or check current figures instead of relying solely on training data.
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Because of this, I often use it for fact checking or citing sources. This sounds simple, but it changes the dynamic of the conversation. You don't have to wonder whether Claude's answer reflects the world as it exists today or the world as it existed when the model was trained. If something might have changed, Claude goes and checks.
3. Conduct deep, multi-step research
Beyond basic web search, Claude offers a dedicated Research mode on paid plans. Rather than returning a single set of search results, Claude works through your question over several minutes — running multiple searches that build on each other, exploring different angles, and synthesizing what it finds into a thorough answer with citations you can check.
This is particularly useful for competitive analysis, literature reviews, comparing vendors, or any question where a single Google search wouldn't cut it. The result read like a briefing from a research assistant, which is great for skimming quickly or saving for studying later.
4. Connect to your apps and services
(Image credit: Future)
Through integrations called Connectors, Claude can work with external platforms directly. Google Drive, Google Calendar, Slack, and a growing list of third-party services can be connected so that Claude pulls from your actual data rather than requiring you to copy and paste everything into the chat window.
This means you can ask Claude to find a document in your Drive, check your calendar for openings, or pull context from a connected tool, all within the same conversation.
The integration layer is still expanding, but it already covers the productivity tools most people rely on daily.
5. Read and work with enormous documents
Claude's context window, which is the amount of text it can hold in a single conversation, sits at one million tokens, which translates to roughly 750,000 words. That's enough to load an entire novel, a full codebase, or hundreds of pages of contracts and research papers without splitting anything up.
For researchers, legal professionals and anyone who works with long documents, this is one of Claude's most practical advantages. You can upload a 300-page report and ask specific questions across the entire thing rather than feeding it in piece by piece and hoping the model remembers what came before.
6. Write, debug, and ship code
(Image credit: Anthropic/Future AI)
This is perhaps what I use Claude for the most. It was already a pretty great coding assistant, but Claude Code changed the game. It's a command-line tool that works directly in your terminal, your IDE or the Claude desktop app. It reads your files, runs commands, edits code across multiple files and executes tests.
At Anthropic's Code with Claude event in May 2026, nearly half the developers in the room raised their hands when asked if they'd shipped a pull request written entirely by Claude in the past week. Whether or not that's how you want to work, it gives a sense of where things stand. Claude Code is included with Pro, Max plans and available through the API.
7. Create polished documents and files
Claude doesn't just generate text in a chat window, it can produce actual downloadable files like Word documents, slide decks, spreadsheets, PDFs and more. Ask for a formatted report, a pitch deck or a financial model, and Claude builds the file and hands it to you ready to open in the appropriate application.
This matters because the gap between "Claude helped me write something" and "Claude gave me a finished deliverable" is significant. Instead of copying chat output into a template and reformatting it yourself, you get a file that's already structured, styled and ready to send.
8. Remember you across conversations
(Image credit: Future)
Although it was the last of the chatbots to get a solid memory capability, Claude finally has a memory system that lets it retain context about you between separate conversations. It can remember your preferences, your projects, ongoing decisions and working style so you don't have to re-explain everything each time you start a new chat.
Separately, Projects lets you organize multiple related conversations around shared documents and instructions, which is useful for ongoing work like writing a book, managing a product launch or developing a business plan. Between memory, Skills and Projects, Claude can maintain continuity in a way that makes long-term collaboration practical rather than frustrating.
9. Work as a desktop assistant alongside your other tools
Claude now runs as a desktop application with a feature called Cowork that gives it access to files on your computer. Claude can read, edit, and create files autonomously, coordinate multi-step tasks, and work in the background while you do other things.
This pushes Claude beyond the "open a browser tab, type a question" model, which so many users more commonly do. Cowork is available on all paid plans and recently expanded to mobile, letting sessions and files follow you across devices.
Final thoughts
Claude is an absolute powerhouse for productivity. I am a huge fan, but haven't always felt this way. In fact, I used to avoid it because I actually thought it offered "more than I need."
But once I started using it beyond the chat box, I discovered just how useful it can be. If you're trying to figure out where to start first, try out any of these nine uses and go from there.
It's worth spending a few minutes exploring what else is there. Between Artifacts, Research mode, Claude Code, file creation, integrations and Cowork, the product has quickly become something much broader than the chatbot it started as.
Big shoutout to Anna York for originally posting this
When someone asks ChatGPT:
“What’s the best [tool/service/solution] for X?”
Your page either:
→ gets cited
→ or gets ignored
Most marketing teams are only optimizing for Google.
Here’s what AI actually looks for 👇
1. Outcome-driven headline
2. Clear entity positioning
3. Direct, extractable answers above the fold
4. Buyer-intent Q&A sections
5. Real case studies (names + numbers)
6. Verifiable authority signals
7. Structured schema markup
8. Topical authority reinforcement
9. Citable stats and claims
10. Consistent positioning
11. Transparent pricing logic
12. Strong conversion CTAs
This builds on traditional SEO.
AI selects answers it can trust and cite.
If your page isn’t structured for that → it won’t show up.
The good news:
You don’t need a rebuild.
You need the right fixes in the right order.
If you need a step-by-step AI visibility guide:
👉 https://lnkd.in/d9GuGVEk
Build for citation, not just clicks.
♻️ REPOST so others can learn too.