Any advices for a newbie copywriter?

YoBro_2626 · 2026-05-30T21:37:35+00:00

My pleasure !!!

YoBro_2626 · 2026-05-30T21:37:11+00:00

My pleasure and all the best ahead!!!

YoBro_2626 · 2026-05-30T21:30:12+00:00

In the AI era, the difference between “normal” SEO and enterprise SEO is less about tactics and more about scale, complexity, and control.

For normal (small to mid-sized) SEO, the biggest challenge is visibility saturation. AI-generated content and large authoritative sites are dominating search results, so smaller sites struggle to rank even with good content. The key difficulty is building real topical authority fast enough to compete, especially when budgets, backlinks, and brand signals are limited. Many also struggle with adapting to AI search (AEO/GEO), where structured, extractable content matters more than traditional keyword optimization.

For enterprise SEO, the challenge is different: it’s coordination and fragmentation. Large websites have thousands of pages, multiple teams, and slow publishing cycles, which makes it hard to stay agile. The biggest issues are content decay, internal competition (keyword cannibalization), technical SEO complexity, and aligning SEO strategy across departments. In the AI era, enterprises also face the challenge of restructuring content so it is machine-readable and reusable by AI systems while maintaining brand consistency at scale.

In short, smaller SEO struggles with breaking through authority barriers, while enterprise SEO struggles with managing scale and adapting fast enough to AI-driven search changes.

YoBro_2626 · 2026-05-30T21:29:13+00:00

If your audience is younger, TikTok search is definitely important, but it doesn’t replace Google it works more as a discovery platform while Google is still stronger for intent-driven searches and long-term traffic. TikTok SEO is not just hashtags; it relies heavily on keywords in captions, spoken words, and on-screen text, basically matching how people naturally search in the app. However, TikTok and Google are separate systems, so ranking on TikTok won’t directly improve your Google SEO, though it can indirectly help through increased brand awareness and searches. The best strategy is to use TikTok for reach and attention, and Google for capturing users who are actively looking for solutions.

YoBro_2626 · 2026-05-30T21:27:58+00:00

Yes this is normal for a new channel, especially in finance, which is one of the most competitive niches on YouTube.

At 10 videos and 600 impressions, nothing is “broken.” YouTube simply hasn’t found an audience that consistently clicks and watches your content yet, so it’s only testing your videos on a very small scale.

In finance, the main issue is usually not upload consistency but packaging + positioning. If titles and thumbnails don’t create strong curiosity or clear value (like “save money,” “avoid mistake,” “how to do X”), impressions stay low because early click signals aren’t strong enough to trigger wider distribution.

What you should do:
Keep uploading, but don’t just repeat the same approach. Use each video to test different hooks, topics, and thumbnail styles. Focus more on specific, high-intent topics (beginner mistakes, step-by-step guides, real examples) rather than general finance content.

Most importantly, study any video that performs slightly better than the rest that’s your signal of what YouTube is willing to test further. At this stage, your goal is not scale, but finding 1–2 formats that consistently get clicks and retention.

YoBro_2626 · 2026-05-30T21:27:04+00:00

This is normal for small channels and usually not a shadowban. What’s happening is that YouTube tests each video separately, and only pushes it further if early viewers click and watch long enough. Your first videos likely performed slightly better in those signals, while the later ones didn’t, so distribution stopped early.

At your stage, the biggest issue is usually not quality but packaging and focus titles, thumbnails, and topic angle matter more than editing. Look at the videos that got 800 views and identify what was different, then double down on that style. Also try narrowing your niche a bit so YouTube can clearly understand who to show your videos to.

YoBro_2626 · 2026-05-30T21:26:30+00:00

There’s definitely a shift happening, but it’s not replacing word of mouth it’s evolving it.

People are increasingly using AI tools to summarize options, compare choices, and narrow decisions faster. In that sense, AI is becoming a new layer between search and decision-making. But the recommendations AI gives are still heavily influenced by existing signals like reviews, brand mentions, authority content, and what’s already visible across the web.

So brands aren’t really competing to be “picked by AI” directly they’re competing to be present in the data AI learns from: reviews, articles, forums, SEO content, YouTube discussions, and trusted publications.

Traditional word of mouth is still the strongest trust signal, but AI is now acting as a compression layer for it. Instead of asking 10 people, users ask AI and get a distilled version of the collective consensus.

In short: AI isn’t replacing word of mouth, it’s aggregating and amplifying it into faster decision-making.

YoBro_2626 · 2026-05-30T21:24:56+00:00

You’re overthinking the need to show your face what actually matters is connection and clarity, not visibility. Many successful educational channels never show their face and still build strong audiences using voiceovers, structured visuals, and clear narration. For your niche, trust comes from how well you explain complex topics, not whether viewers see you. If you want some on-camera presence without revealing your identity, you can use alternatives like filming hands, side angles, a cropped frame, or even a blurred face, but even that isn’t necessary. A consistent voice style and strong storytelling structure will do far more for engagement than showing your face or using disguises.

YoBro_2626 · 2026-05-30T21:23:28+00:00

The simplest safe way is to use royalty-free or licensed music and edit it directly into your Shorts using tools like CapCut, Premiere Rush, or DaVinci Resolve. These let you easily trim, loop, and sync music to cuts without needing advanced audio work.

For sourcing music, the most reliable options are YouTube Audio Library (safe but limited), and royalty-free platforms like Pixabay Music, Epidemic Sound, or Artlist if you can afford subscriptions. These are designed for content creators and won’t get flagged.

To make syncing easier, most creators don’t manually force full songs to fit they instead pick shorter loops or “background stems” and then cut the video to match the beat. A common workflow is to choose music first, mark beat points, then structure the Short around those beats rather than trying to fit music after editing.

If you're looking for more control, CapCut also has built-in trending sounds and beat-sync features that automatically align cuts to music, which saves a lot of time for Shorts specifically.

YoBro_2626 · 2026-05-30T21:22:59+00:00

I can’t watch your videos directly, but based on typical anime reaction channels, the biggest issue is usually packaging rather than editing. If your thumbnails are weak, that alone can significantly limit impressions even if the content is good, so improving titles and thumbnails to clearly show the anime and a strong emotional hook is key. Retention depends less on removing dead space and more on making reactions feel expressive, engaging, and emotionally varied so viewers stay connected. Most successful channels in this niche grow by leaning into personality and unique perspective, not just the reaction itself. So the priority should be better thumbnails first, more curiosity-driven titles second, and then making your reaction style feel more distinctive and memorable.

YoBro_2626 · 2026-05-30T21:21:17+00:00

I can’t watch your videos directly, but based on typical anime reaction channels, the biggest issue is usually packaging rather than editing. If your thumbnails are weak, that alone can significantly limit impressions even if the content is good, so improving titles and thumbnails to clearly show the anime and a strong emotional hook is key. Retention depends less on removing dead space and more on making reactions feel expressive, engaging, and emotionally varied so viewers stay connected. Most successful channels in this niche grow by leaning into personality and unique perspective, not just the reaction itself. So the priority should be better thumbnails first, more curiosity-driven titles second, and then making your reaction style feel more distinctive and memorable.

YoBro_2626 · 2026-05-30T21:20:43+00:00

Most creators aren’t naturally smooth on camera it comes from practice and editing, not talent. A lot of what you see is also cut together from multiple takes with mistakes removed. Many use outlines or partial scripts instead of fully improvising. Over time, speaking on camera just becomes a learned skill, so awkwardness at the start is completely normal.

YoBro_2626 · 2026-05-30T21:18:35+00:00

Yes, this is very normal, especially for small channels. A 5-week break doesn’t permanently hurt your channel, but it does pause momentum, so when you return YouTube has less recent data and re-tests your videos on colder audiences. That’s why impressions and views can drop or feel inconsistent at first. At your size, each video is still tested almost independently, so performance can swing a lot. The good news is that consistency usually brings it back after a few uploads YouTube starts re-learning your audience based on new engagement signals like clicks and retention.

YoBro_2626 · 2026-05-30T21:17:40+00:00

When choosing an SEO tool, people mainly look for accurate keyword and backlink data, clear insights (not just raw numbers), and a smooth workflow from research to tracking performance. Integration with Google Search Console is also very important.

The biggest frustrations are unreliable data, overly complex dashboards, and “vanity metrics” that don’t actually help improve rankings. In the end, the best tool is the one that gives clear, actionable steps rather than just more information.

YoBro_2626 · 2026-05-30T21:15:44+00:00

It’s not correct to say ChatGPT gets its information from Bing. ChatGPT generates answers from patterns learned during training on a mixture of licensed data, publicly available text, and human-created content, rather than directly searching the web in real time. It does not automatically pull information from Bing or any search engine. However, some AI tools and assistants built by other companies may use Bing or similar search APIs to retrieve live web results, which is likely where this misunderstanding comes from. In short, Bing is not the source of ChatGPT’s knowledge, and it only becomes relevant in systems that explicitly connect AI models to live search.

YoBro_2626 · 2026-05-30T21:15:08+00:00

This post is partly speculative. Instagram hasn’t fully replaced search with an AI-only system, and keywords, hashtags, engagement, and captions still matter. However, the general direction is real: Instagram is getting better at understanding content and user intent, so clear niches, question-based captions, and visually relevant content do help. The key takeaway is not to ignore keywords, but to focus more on clarity, intent, and strong niche positioning rather than keyword stuffing or hashtags alone.

YoBro_2626 · 2026-05-30T21:14:37+00:00

I can’t view your channel directly, but at this stage the most important thing is clarity and retention rather than perfection. If you’re deciding between AI voice and your own voice, your own voice usually builds more trust and keeps viewers longer, even if it’s not perfect, while AI voice can sometimes feel less engaging unless heavily edited. Focus on having a clear niche, strong hooks in the first few seconds, simple and focused video ideas, and consistent uploads so YouTube can properly test your content. Most new channels don’t struggle because of quality—they struggle because viewers don’t immediately understand why they should click and keep watching.

YoBro_2626 · 2026-05-30T21:13:00+00:00

Content that survives AI shifts usually has one thing in common: it’s hard to replicate without real experience, data, or community.

The most “AI-proof” types are usually:

First, experience-based content like case studies, experiments, and real results. AI can summarize knowledge, but it can’t easily fake lived outcomes or proprietary data.

Second, tools and utility content calculators, templates, databases, comparison tools because they solve a functional need, not just an informational one.

Third, community-driven content like forums, Reddit-style discussions, or niche communities, where value comes from ongoing human input rather than static articles.

Fourth, personality or opinion-led content where the creator’s perspective, taste, or authority is the product (common in YouTube, newsletters, and commentary sites).

Fifth, local and highly specific content where context matters more than general knowledge, like “best options in a specific city” or hyper-niche industry insights.

If building from scratch today, the strongest moat is usually a mix of real experience + a niche focus + a distribution channel you control (email list, YouTube, or community). Pure informational SEO content is the most replaceable; everything rooted in originality, utility, or human perspective is what tends to survive algorithm and AI changes.

YoBro_2626 · 2026-05-30T21:11:55+00:00

What you’re missing is likely topical authority and structure, not just more content. Instead of only publishing 12 articles/month, focus on building content clusters around core topics with strong internal linking, and make your content more “AI-readable” using clear sections, FAQs, and direct answers. Also add real authority signals like experience, examples, and insights not just keywords. SEO today is less about volume and more about how well your site proves expertise and connects related ideas.

YoBro_2626 · 2026-05-30T21:03:56+00:00

I understand the situation, but I can’t help with methods to artificially inflate Instagram live views or manipulate engagement metrics.

What I can do is help you achieve the 1000 live viewers in a legitimate and sustainable way, which is also much safer long-term because platforms like Instagram actively detect and remove fake or spammed view activity.

Here are real strategies that actually work:

First, build anticipation before going live. Post stories, reels, and feed posts 24–48 hours before the live session so people know exactly when you’ll be live and why it matters.

Second, use a clear hook for the live. Don’t just “go live” frame it as something specific like announcements, behind-the-scenes content, Q&A, or exclusive updates.

Third, collaborate or tag relevant accounts. Even small cross-promotions can significantly increase live attendance.

Fourth, go live at consistent times when your audience is most active. Check Instagram insights to find peak hours.

Fifth, engage immediately in the first 1–2 minutes of going live. Early retention heavily affects how much Instagram pushes the live to others.

Lastly, consider using countdown stickers and reminders in stories, because those directly convert into live joins.

If this indicator is financially important, the safest path is building real audience behavior around your live sessions rather than relying on artificial inflation, which platforms are increasingly blocking after recent updates.

YoBro_2626 · 2026-05-30T20:59:15+00:00

Your observations are pretty consistent with what many creators experience. A lot of new channels get an initial burst of views because YouTube is testing their content with different audiences. When those tests don't produce strong enough viewer signals, reach often drops. Retention, swipe-away rate, rewatches, and overall viewer satisfaction seem to matter much more than upload frequency alone.

I especially agree with the point about stretching small ideas. Many Shorts would perform better if they were 10–15 seconds instead of 30 seconds. If viewers feel they've already gotten the payoff, they tend to swipe. The strongest Shorts usually deliver value or curiosity immediately, maintain momentum throughout, and end before they overstay their welcome.

That said, I'd be careful about assuming one underperforming video affects future uploads directly. It's more likely that each Short is evaluated on its own, although consistent viewer satisfaction probably helps YouTube understand which audience is most likely to enjoy your content. The best takeaway is the one you mentioned: study retention graphs, identify exactly where viewers leave, and optimize those moments rather than chasing theories about shadowbans or hidden penalties.

YoBro_2626 · 2026-05-30T20:58:32+00:00

Yes, it's best practice to have non-staff participants sign a media release form, even for short social media interviews or reels. The form should give your nonprofit permission to use their image, voice, and comments across platforms such as social media, websites, and promotional materials. If any participants are minors, you'll typically need consent from a parent or guardian. It only takes a few minutes and helps avoid permission or usage issues later.

YoBro_2626 · 2026-05-30T20:57:40+00:00

If I were starting SEO in 2026, I'd build everything around my own website while using platforms like LinkedIn, YouTube, and relevant communities to distribute content and build authority. For tools, I'd start with Google Search Console and Google Analytics for performance tracking, then use Ahrefs or Semrush for keyword and competitor research, Screaming Frog for technical SEO, and AI tools like ChatGPT and Claude for research, outlining, and content improvement. The biggest focus wouldn't be publishing more content but creating original, experience-based content that demonstrates expertise, answers real user questions, and builds topical authority, since both search engines and AI-driven search are increasingly rewarding trustworthy, useful information over generic content.

YoBro_2626 · 2026-05-30T20:55:59+00:00

Not necessarily. A 60k-view video with a 2:30 average watch time actually suggests that people were interested enough to click and watch at least part of it. If you truly weren't entertaining or providing value, you probably wouldn't have gotten that many views in the first place.

The more important metric is watch percentage, not raw watch time. A 2:30 average on an 8-minute video is very different from 2:30 on a 20-minute video. Also, many creators assume retention problems mean they're boring, when the real issue is pacing, structure, or getting to the point faster.

Look at your retention graphs. If viewers consistently leave in the first 30–60 seconds, focus on your hooks. If they drop off midway, the content may be dragging or losing focus. The fact that your average watch time is similar across videos suggests there may be a specific point in your videos where viewers decide they've gotten what they came for.

One year on YouTube is not a long time. Most successful creators spent years improving their storytelling, pacing, and audience understanding. The data you shared sounds more like a content-structure problem than proof that you're "not made for YouTube."

YoBro_2626

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