AI Tools for Content Creation

70% PDPs bury critical info below the 3rd fold. (where less than 40% visitors reach) Leading to: – Shoppers unable to understand USPs – High bounce rate or drop-off in first fold – Less than 10% add to cart rate Showing the right things, at the right time, in the right order is critical for conversion. In this breakdown, I’ve made 11 strategic changes that improve content hierarchy and make a page convert better. 1. Add USP badges. These badges highlight product suitability and certifications, helping users see if it fits their needs and values. 2. Have a concise product title and short description. Place this above the product image. This helps users understand what the product is and why it’s useful right away. 3. Show awards that the product has won. This builds credibility. Especially in skincare and health care. 4. Showcase product thumbnails. This increases engagement with the image gallery. Helping more visitors learn about the product and convert. 5. Add key product USPs. These short notes give users an instant sense of what makes the product stand out, capturing interest without needing to read full descriptions. 6. Add clear bullet points for key product benefits. Explain exactly how the product works and what users can expect, making it easy to scan and understand the value. 7. Make the add to cart CTA stand out. Avoid stroke outline and keep a fill. A/B test having a sticky add to cart CTA. 8. Place trust signals closer to the purchase button. When shipping and return details appear right where buying decisions happen, it reduces the friction that causes cart abandonment. 9. Highlighting what's NOT in the product with clear icons. Helps to understand the brand's values and can trust that it aligns with their ingredient preferences. 10. Include before/after photos. Visual proof of results paired with clear benefit statements builds credibility. Helps skeptical shoppers see real evidence. 11. Add a "Complete Your Routine" section. Suggest complementary products to guide customers toward building a full regimen, naturally increasing order value while helping them succeed. Other UX/UI and CRO changes I did: – Moved product name above the gallery – Added sneak peek on the next image – Replace paragraphs with bullets P.S - Educational, visual PDPs build trust and make it easier for shoppers to buy. Remember, most visitors get distracted easily, so you want to really optimize the first 2 folds. If you want to get a CRO / UX audit for your store, reach out to me on DM. #conversionrateoptimization

The future of search goes way beyond page one rankings. Gone are the days where keywords and backlinks are all you need for traffic. It's now all about AI visibility. According to a study by iPullRank, AI search adoption is growing 4% day-over-day. At this rate, 100% of users will interact with AI search by September. While most sites are completely invisible to AI platforms… Here's your chance to prepare your site for this shift: 1. Content structure for AI readability AI pulls passages, not entire pages. Write content so each paragraph can work as a standalone answer: - Use clear, direct language (avoid fluff and filler) - Structure with logical H2 and H3 headings - Answer questions completely in single paragraphs - Include key insights at the top of articles - Back up claims with credible data sources 2. Build authority signals AI platforms favor content from trusted, expert sources: - Include author credentials and bios - Showcase industry certifications - Add case studies with real data - Cite authoritative sources - Display customer reviews prominently 3. Optimize for Natural Queries LLMs pull direct answers from content that mirrors how real people speak. - Target long-tail, question-style keywords that mimic how people talk to ChatGPT or voice assistants - Add short Q&A sections so AI can easily pull your answers - Phrase headers like real questions (e.g. “How long does SEO take?”) - Use conversational language in your answers 4. Brand web mentions Google verifies trust by checking how often your brand gets mentioned across the web. The more your brand appears in credible sources, the more Google trusts your content, the higher your chances of getting cited in AI Overviews and Gemini. Focus on getting featured in: - High-authority industry publications - News outlets and press coverage - Forums and community discussions - Expert roundup articles 5. Technical foundations If AI can't crawl your content, you're invisible: - Check robots.txt allows AI crawlers - Submit updated XML sitemaps - Monitor page load speeds - Use clean, structured HTML - Add schema markup where relevant 6. Monitor your AI visibility Track where your brand appears across AI platforms: - Search for your company in ChatGPT, Gemini, and Copilot - Check if descriptions are accurate and complete - Set up GA4 tracking for AI referral traffic - Use tools like Surfer’s AI Tracker to monitor AI mentions Start with an audit of: - Your current visibility across AI platforms - Content gaps compared to competitors - Technical issues blocking AI crawlers Then create your 90-day strategy to capture this growing traffic source. The data is clear - AI search adoption is growing 4% day-over-day. Prepare now, or be invisible in a few months time.

5 ways I use ChatGPT to actually make my copywriting better: 1. Gather snippets of copy from the brand's website, social media and other sources. Like captions, about us pages and more. Then I ask AI to analyze the voice and tone. And describe it in 5 words. Then I use the same 5 words to guide my copy if I'm going off-brand. 2. Upload reviews and testimonials in a CSV file and ask GPT to analyze them. Then I ask it to pull out the common sentiment, emotional triggers, most pressing problems, stand-out benefits and how people have worded their experience. This helps me discover emotive language for headlines. 3. If I'm writing for the same brand, I give chat 1-3 previous examples to take inspiration from. This works well for email campaigns. Always put in this instruction at the end: Don't copy word for word and just take inspiration from the email in terms of style, format and length. 4. I love playing the constraints game with ChatGPT. I never ask it to just write copy. I focus on: Word count/length A framework (like PAS) Themes (lead with emotion vs lead with benefit/USP) My creativity thrives when I give it constraints because I can see how the same thing can be communicated in different ways. 5. Use it as a first draft generator I never let it write the final copy but I do let it help me beat writer’s block. If I’m stuck on a hook, I’ll give it a clear prompt with the target audience, product benefits, theme and tone of voice. Then, I ask for 10 variations. Out of those 10, maybe one or two are solid. The rest? Either too generic or off-brand. But that’s the trick. ChatGPT isn’t here to replace my creativity. It’s here to spark it. It helps me go from 0→1 faster. And considering I write for multiple brands in the same day, the extra brainstorming power helps. How do you use it? Let me know in the comments!👇🏻 Follow #OKCreative for more. #copywriting #writing #ChatGPT #ai

If your brand sounds like everyone else, blame your prompt. You’ve seen it: 1. "Use ChatGPT to write your brand's voice" posts. 2. Brands that sound exactly the same regardless of sector. 3. Tone switches that feel... robotic (because they are). Here’s the truth: AI can amplify your brand voice but only if you stay in the booth as the director. Let me share some tips to use AI without diluting your brand voice: 1. Build your AI Guardrails Create a 3-point tone deck: “Brand is ___, not ___” (e.g., “strategic, not robotic”). Train your GPT prompt first “Respond as Resshmi Nair: thoughtful, bold, mildly cheeky.” 2. Use AI to scale personalization not replace it: Draft emails like “Hey [Name], saw you loved [product]. I’d choose this style because…” 3. Human (still) writes the punchline: AI creates 80% of your draft. You add the brand-specific anecdote, finished with your habit-of-a-haha or insight-of-a-sass. Here's what happens when you nail this: Your brand stays human in a sea of hollow utility. Audiences feel you not the tech. You free up mental bandwidth to think bigger events, partnerships, strategy while AI does the copy-drafting. Bottom line: AI doesn’t write your brand voice. You do. AI just helps you do it faster, at scale, more consistently. My writer friends might come at me though but happy to hear.

Today I’m launching a project I’ve been working on for weeks. A full meta-analysis of how AI search (LLMs) really works.   ✅ 19 studies ✅ 6 case studies ✅ 10,000+ LLM answers ✅ Thousands of branded citations  ✅ Millions of sessions across AI tools And I didn’t do this alone, Talal Syed 🌀, and I worked on it together, and we reached out to some of the sharpest minds in the industry to review, validate, and stress-test the findings. Most of the noise around “optimizing for LLMs” is just speculation. So we pulled together every credible study we could find, research papers, real-world tests, technical audits, and graded the evidence. The catch? Most studies show what matters for LLM visibility, but very few attempt to quantify how much each factor matters. And the truth is, not all signals are equal. Brand mentions don’t carry the same weight as freshness. Schema isn’t the same as PR. That’s why this analysis also looked at relative weightage, what moves the needle more vs. what just reinforces. Here's what consistently showed up (and their relative impact): ➜ Structured content (highest impact) LLMs love clean formatting, FAQs, schema, and content that fully answers queries. This was the single strongest signal across every study. ➜ Comprehensive coverage (very high impact) Depth matters. Pages that fully cover a topic outperform surface-level content almost every time. ➜ Brand mentions & digital PR (high impact) Mentions in PR, roundups, and authority sites make LLMs “remember” you, especially when layered on top of structured content. ➜ E-E-A-T & credibility (medium-high impact) Author bios, expert bylines, and trust signals reinforce legitimacy but rarely drive inclusion by themselves. ➜ User-generated content & communities (medium impact) Platforms like Reddit, G2, and Stack Overflow frequently show up in training data and citations, making them strong amplifiers. ➜ Knowledge graph & entity presence (medium impact) Structured entity alignment (Wikipedia, Wikidata, schema databases) helps LLMs place you in the right context. ➜ Customer reviews & reputation signals (supporting impact) Reviews help with commercial queries the most, but rarely move rankings alone. There's a strong dependence on the medium/high impact factors above. ➜ Freshness & Bing indexing (supporting impact) Timely updates and Bing indexing act as entry filters. Necessary, but not sufficient to win visibility on their own. ➜ Experimental tactics like prompt injection (low impact) Novel but unreliable, with very little evidence of lasting gains and long-term success. 👉 The complete report can be found in the comments below. #seo #saas #growthmarketing #growth #contentstrategy #b2b #b2bmarketing #digitalmarketing #seostrategy

I spent $300 on #GenAI tools and every report still sounded like it was written by a corporate bot. The problem wasn't AI. It was my strategy. 🤖 I had to completely rethink how I use AI for writing. I stopped asking one LLM to do everything. Instead, I built a specialist stack where each tool handles what it does best. - ChatGPT builds expansive prompts off my lazy requests. - Perplexity generates detailed research from those prompts. - Claude writes the draft reports using that research The result? Reports that sound like me, not like a bland chatbot trying to be helpful. 👇 Read my article for the complete Specialist Stack approach, including how to use each tool best. Here's what changed: 1️⃣ My last three reports passed the "human test" with colleagues who didn't know I used AI. No one asked if it was AI-generated. They just engaged with the ideas. 2️⃣ The time savings are real. I cut report writing time by 60% while actually improving quality. 3️⃣ Most importantly, I'm not fighting against AI limitations anymore. I'm leveraging what each tool does exceptionally well. This is what happens when you use the right AI for each specific task in your workflow. Effort decreases, usable results increase. 👨💻 Struggling with AI-written content sounding too robotic? What's you solution? 🙋♀️ Maybe Alexis B. Andrew Karlyn Paulo Gomez have better methods?

If you're frustrated that your AI content sounds generic, it's because you're building backwards. Most companies try to generate content immediately. They write prompts, adjust parameters, switch models—hoping for better output. It never gets better. Here's why: You're asking AI to create content without giving it your brand's DNA. The fix is simple: build your artifacts first. What are artifacts? → Brand voice analysis → Style guides → FAQs → User documentation Here's the process: 1️⃣ Collect 5-10 pieces of content you actually like 2️⃣ Feed them to an LLM: "Analyze this and help me create a style guide" 3️⃣ Refine the output (it won't be perfect, but it'll spark thinking) 4️⃣ Document your FAQs and user guides 5️⃣ NOW use these artifacts as context for content generation This is how we win AI search for brands like Webflow, Ramp, and Augment Code. It's not about the prompts. It's about the foundation. #AIMarketing #ContentStrategy #B2BMarketing #GrowthMarketing

I regularly save 5+ hours/week using AI to draft emails. But it wasn't until a few months ago that I found the right workflow to make AI useful for first drafts. Here's how it works: 1. Use Claude, not ChatGPT – ChatGPT's natural tone is too robotic. Claude is much better at matching your voice. 2. Provide examples of your style – Create a project and upload documents that match your voice and tone, plus examples of good emails you want to emulate. 3. Incorporate Conversation Context – Add call notes or the email thread you’re replying to. Just make sure to redact anything sensitive. 4. State your goal in the prompt – Clearly state your intent and remind the AI to match your voice and tone from the context docs you provided. 5. Edit. Edit. Edit. – No matter how good the output is, make sure you read and edit it, so you can stand behind every word.

“How do you personalize emails at scale with AI - without ending up with robotic nonsense or hallucinations?” That’s the question I get every week. And I broke it down here 👇 👉 The truth: Most people try to do everything in one giant prompt. They dump all the info about their company, their prospect, and their offer into a single LLM input and expect a miracle. The result? ❌ Generic messages that sound the same as everyone else’s ❌ Hallucinations that make your brand look sloppy ❌ “Personalization” that doesn’t feel personal at all ✅ Here’s what actually works: You need to think like an engineer and a copywriter had a baby And you think like that baby 😃 Instead of one mega-prompt, build a system of small AI agents, each doing one specific job. 1️⃣ Start with a main AI agent - your “Company Brain.” Feed it everything about your business: positioning, tone, offer, outcomes, case studies. (It can live in Gemini, GPT, or whatever LLM you prefer.) 2️⃣ Then use that agent to create micro-agents — each handling a specific task. For example: - One for understanding the prospect’s company - One for extracting key insights from their LinkedIn - One for finding out their pain points - One for finding out the associated UVP - One for generating the email structure 3️⃣ Finally, have your main agent compile all of these results into a single, fully-personalized email that actually feels human. This is the same framework I shared live during the Smartlead webinar last week - and the response was incredible. It’s the same framework that allows Marco, Bilal 🔥, Diana, and Hamed to send over 1M emails every month for single clients All different, unique, and personalized Because when you stop prompting and start architecting, personalization at scale finally works. We use Clay to send Millions of emails at scale And generate hundreds of meetings every month Not with a spray and pray approach But with a engineering, copywriting mindset. -- I’m Matteo Fois Click my name + follow + 🔔 We Help B2B Tech Companies scale Allbound with AI & Systems | Revenue Engine Builder

AI tools shouldn't cost you a fortune. I used to think you need to spend a lot on premium subscriptions. Now? I've discovered incredible FREE alternatives that work just as well. Here's my curated list of the best free AI tools that replace more pricey ones: 👉 Krea.ai (Free) vs Midjourney ($10/month) Features: AI image generation, infinite canvas, variations Limitation: Queue times in free tier My take: Great for creative exploration, though slightly slower than paid alternatives 👉 Presentations.ai (Free tier) vs Beautiful.ai ($12/month) Features: AI-powered slide generation, templates, export Limitation: Limited exports per month My take: Perfect for quick professional presentations 👉 Eraser.io (Free tier) vs Miro ($10/month) Features: Infinite whiteboard, AI diagrams, real-time collaboration Limitation: 3 boards in free plan My take: Excellent for technical diagrams and team brainstorming 👉 Tabnine (Free) vs GitHub Copilot ($10/month) Features: Code completion, multi-language support Limitation: Shorter code suggestions in free version My take: Solid for daily coding tasks, especially in Python and JavaScript 👉 Glarity (Free) vs Perplexity Pro ($20/month) Features: Browser-based research summaries, YouTube summaries Limitation: No chat feature in free version My take: Perfect for quick research and content summarization 👉 Veed.io (Free tier) vs Descript ($15/month) Features: Video editing, subtitles, basic effects Limitation: 10-minute videos in free plan My take: Great for social media content and quick edits 👉 MyReport (Free tier) vs Tableau ($70/month) Features: Data visualization, dashboards, sharing Limitation: Limited data sources in free version My take: Works well for basic business reporting 👉 ComposeAI (Free tier) vs Writer ($18/month) Features: Email writing, content generation Limitation: Daily generation limits My take: Perfect for everyday business writing 💡 Key learning: while free tiers have limitations, they're surprisingly capable for most uses. Money saved per year: ~$1,980 (compared to subscribing to all premium alternatives) Stop paying premium prices when you don't have to. Start working smarter, not harder. 💙 --- Hi! I'm Boz, and I help SMBs unlock their AI potential. I share real experiences, not just theory. PS - Leading a Massachusetts SMB? Let's talk. We have funding to help your people thrive in the AI era. Drop me a DM!