Are you tired of manually writing alt text for every image on your site, or worse, forgetting about it altogether? Good news: there’s an AI-powered solution that can save you a ton of time, help optimize your website for SEO, and boost your accessibility compliance.
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Table of Contents
AltText.ai is an AI-powered tool that automatically generates descriptive, SEO-friendly alt text for images on your website. With this tool, you can automate one of the most tedious parts of web content management.
What sets it apart is how flexible and intelligent it is. You can fine-tune the descriptions with keywords or product info, making them not just accessible but also optimized for search engines. Whether you’re working with new uploads or an existing media library, AltText.ai helps you stay compliant with accessibility standards while silently improving your on-page SEO.
And because it works across platforms like WordPress, Shopify, and even custom sites via API or InstantAlt, it’s just as useful for bloggers and marketers as it is for developers and eCommerce teams.
AltText.ai is currently available with exclusive lifetime deals on AppSumo. Here’s a breakdown of the pricing tiers:
No matter which tier you choose, you’ll get full access to all features, including support for unlimited websites, CMS integrations, the Chrome extension, and direct embed options.
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The video above walks you through the entire AltText.ai workflow, starting with manual uploads, followed by how to use custom SEO keywords, the Chrome extension, and the WordPress plugin for bulk automation. You’ll also see how to integrate the tool with WordPress and avoid wasting credits on unnecessary image updates.
Prefer reading? Keep scrolling for a full written breakdown of each step.
If you want to streamline your workflow and stop worrying about alt text entirely, AltText.ai is an easy recommendation. It delivers where it matters most:
AltText.ai doesn’t just add convenience. It helps you meet accessibility standards, improve search visibility, and maintain consistency across your entire content library.
AltText.ai is one of the most practical AI tools available today. It delivers real value from the moment you start using it. Whether you’re a blogger, marketer, or ecommerce business owner, this tool can transform the way you manage image SEO and accessibility.
If you’ve been skipping alt text or manually writing it one image at a time, it’s time to stop. This tool takes care of it efficiently, accurately, and at scale.
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(Offer valid from July 28 to September 28, 2025)
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As artificial intelligence becomes a central force in content generation, the lines between human and machine writing are becoming increasingly blurred. From blog posts to product reviews, social media captions to technical articles, AI tools like ChatGPT and others are used to create text that appears human. But there’s a growing need to convert AI to human (แปลง ai เป็น human)— for purposes of authenticity, detection avoidance, and natural readability. One tool that excels in this space is CudekAI, a powerful and practical AI humanizer.
AI-generated content is efficient, fast, and often grammatically correct. But it comes with a few common flaws:
This is why the concept of “AI humanization” is growing. Whether you’re a student trying to make your work sound original, a writer enhancing AI drafts, or a marketer working with AI tools to speed up content creation, the goal is to convert AI-generated writing into something that sounds authentically human.
An AI humanizer is a tool or process designed to take AI-generated content and rewrite or enhance it in a way that feels natural, nuanced, and recognizably human-written. This doesn’t mean simply changing a few words. Effective humanization involves modifying sentence flow, tone, expression, and structure — all the subtle cues that humans use in language.
Humanizers ensure that text:
A good humanizer doesn’t just mask AI text — it transforms it.
CudekAI is a versatile platform that specializes in AI detection and AI humanization. Its core strength lies in analyzing and modifying text created by AI to make it indistinguishable from human-written content.
When it comes to the challenge of convert AI to human (แปลง ai เป็น human), CudekAI offers a highly practical solution. Unlike many other tools that either over-simplify or rely heavily on automated rewriting, CudekAI is built to:
CudekAI takes a multi-step approach to converting AI to human:
This structured approach ensures the final result is not just superficially altered, but fundamentally more human.
Students often use AI tools to help generate drafts. But most institutions have strict rules against AI-generated work. CudekAI helps them edit and transform content so that it reflects a more natural and personal tone — which not only passes detection but aligns with academic expectations.
Content teams save time by using AI to create outlines or first drafts. With CudekAI, they can polish this content so that it reads like it was written by a seasoned writer. The end result engages readers and boosts SEO without triggering penalties.
AI-generated social media captions often feel flat or impersonal. CudekAI helps inject humor, attitude, or casual tone into posts, aligning them with brand voice and audience expectations.
Writers submitting content to clients need to ensure that what they deliver doesn’t seem automated. Using a tool like CudekAI, freelancers can humanize their AI-assisted drafts, adding creative flair and originality.
While AI tools are here to stay, it’s critical to understand that human voices still matter. Readers can sense when something lacks personality, and audiences respond more to emotion than precision. Employers, editors, teachers, and customers alike value writing that feels authentic.
By humanizing AI content, you’re not just avoiding detection — you’re enhancing the text so it connects better with your audience.
In a world filled with rapidly generated AI content, the demand to convert AI to human (แปลง ai เป็น human) is only increasing. CudekAI meets this demand head-on with a reliable and accessible platform that helps users humanize their writing effortlessly.
Whether you’re using AI as a starting point or revising someone else’s draft, CudekAI ensures that what you end up with is not just grammatically sound, but emotionally resonant, reader-friendly, and undetectably human.
For students, professionals, marketers, and writers alike, CudekAI isn’t just another tool — it’s a bridge between automation and authenticity.
Here at Nerdbot we are always looking for fresh takes on anything people love with a focus on television, comics, movies, animation, video games and more. If you feel passionate about something or love to be the person to get the word of nerd out to the public, we want to hear from you!
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Search just changed. This time, you’re not writing to rank. You’re writing to be quoted.
Back in the early 2000s, Search Engine Optimization was an internet geek’s wet dream.
We dug into algorithm theories and debated on forums like comic book fans arguing DC versus Marvel.
As Google proved too big to fail, other search engines quietly dropped away. SEO pros had to focus all their energy on the one that mattered.
Google was the challenge that search gurus claimed to master. Just as we cracked its mysterious process, Big G would change the rules. We’d scramble to adjust.
This time the disruption came from an unexpected source: large language models.
LLMs didn’t just compete, they rewrote the playbook.
Google had to pivot fast..
The shift didn’t arrive with a loud announcement. It slid in under AI rollouts, summary boxes, and conversational interfaces. Now Google, Bing, and Perplexity aren’t just listing results — they’re writing the answers.
If your content isn’t cited inside that response, you’re not in the room.
Let’s talk about how to fix that.
You used to chase keywords. Then you chased links. Then structure.
That still matters. But not the way it did.
AI search engines read like editors, not crawlers. They don’t surface your content. They synthesize it. Which means your content doesn’t need to rank first. It needs to earn trust — enough trust to be paraphrased, pulled, or quoted in the answer itself.
It’s not about placement. It’s about influence.
GEO is short for Generative Engine Optimization. Not another acronym to chase. It’s a discipline.
You’re writing for retrieval, interpretation, and synthesis. You’re not trying to “get seen.” You’re trying to get used.
Three things matter now:
If that sounds simple, it’s because the principles are. The execution isn’t.
Let’s pull back the curtain on how generative search works:
That’s where your article either gets stitched in — or skipped.
The quality bar isn’t “well-written.” It’s “undeniably useful.”
No one’s searching “CRM optimization 2025.”
They’re asking: “Why is my customer churn still high even with automation?”
Answer that.
Use tools like AnswerThePublic or “People Also Ask” to reverse-engineer what real users are typing in.
Break sections every 300 words. Use clear subheads. Highlight key points.
Paragraphs should be short. Not for style, but for scanning.
AI models don’t “read” like humans. They chunk. Help them.
Google’s framework is E-E-A-T: Experience, Expertise, Authoritativeness, and Trust.
You need to show all four.
Link to credentials. Publish your results. Don’t talk “thought leadership.” Demonstrate outcomes.
Treat your bio like a pitch deck — because that’s what it is.
AI tools love structure: lists, summaries, definitions, contrasts.
Give them:
Don’t fluff it up. Don’t explain what everyone already knows.
Say something worth quoting — and say it clean.
Neil Patel’s research is clear:
The win is being the answer before someone even hits your site.
That’s awareness, trust, and positioning — without an ad spend.
If your site’s loaded with JavaScript or built like a brochure, AI won’t crawl it right. And if it can’t crawl it, it won’t cite it.
The bar is rising.
You’re no longer competing for attention. You’re competing for interpretation. AI models are deciding which voices get heard. Yours only makes the cut if it teaches better than the rest.
Every article trains the engine.
Train it to see you as the one who knows the answer.
Write with clarity. Write with structure. Write with receipts.
Because the next time someone searches for what you do, you won’t just want to show up. You’ll want the AI to say your name out loud.
If this sparked new thinking or raised new questions, drop them below. Pick up your free GEO prep cheat sheet here. It comes with a serious prompt chain that gets you in the habit of optimizing for search every time you create content. FREE GEO Cheat Sheet Here>
What part of this transition feels most confusing or frustrating?
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Industry Trends
By Colin Graves   12 Minutes read   Jul 15 2025
The digital marketing landscape is always evolving, but in 2025, the pace of change appears to be accelerating faster than ever, thanks to rapid technological advances and shifting consumer behaviors.
From the rise of artificial intelligence (AI)-powered tools to the dominance of short-form video and the increasing reliance on first-party data, advertisers must continually adapt if they want to stay ahead. In this article, I’ll examine the key digital marketing trends shaping the industry today and provide insights on how to focus your efforts to maximize results.
Social media platforms remain critical to digital advertisers, but it’s important to note that the way users engage with social media is shifting. According to Hubspot, marketers say that short-form video delivers the highest return on investment (ROI), which means that advertisers need to adapt their strategies. Major trends include a shift toward short-form video on platforms like TikTok, Instagram Reels, and YouTube Shorts — even Threads is emerging as a promising platform for short-form content.
As advertisers continue to shift towards social media advertising, increasing CPMs and diminishing returns on popular platforms like TikTok, Meta, and YouTube are requiring them to increase their social ad spend. To lower costs, consider diversifying via efforts on the open web, where a mix of native and display ads, alongside content recommendations, can drive strong performance. Channel diversification also prevents advertisers from becoming dependent on closed platforms that can change dramatically with little notice, e.g., Twitter/X and Meta making changes to their content moderation policies.
In 2025, brands are using AI more than ever to create, test, deliver, and optimize their ad campaigns. Take content creation, for example: AI tools now allow you to generate multiple headlines and ad copy variations tailored for different campaign goals, audience segments, and platforms. This speeds up the creative process for advertisers, allowing them to experiment more quickly than in the past — and free up their time for more strategic work. Major ad networks, such as Google, Meta, and Realize, are also now utilizing AI-powered bidding strategies that analyze user behavior, enabling them to adjust bids in real time, helping to optimize spend.

Discover What Your Audience is Interested In
Some brands are also experimenting with features like AI-generated voices, synthetic media (sometimes referred to as “deepfake” tech when used for more nefarious purposes) for virtual influencers, and lifelike AI avatars, making digital content far more interactive. Ultimately, all of this will continue to change the way marketers work.
In the past, marketers relied on finding high-volume, low-competition keywords that matched what people were typing into search engines. In Google Ads or other pay-per-click (PPC) platforms, this meant bidding on specific keywords. Theoretically, the better the keyword targeting, the more likely a campaign would convert.
However, this method is less effective in 2025, as Google’s AI Overviews and Microsoft Copilot often provide direct answers instead of webpage links. This means that marketers need to consider AEO (answer engine optimization) as well as traditional SEO, and ensure their content clearly answers questions and covers topics in depth. They also need to optimize for new formats, such as voice and visual search.
Perhaps the most significant trend in content for 2025 is that AI-powered content has become the new norm. AI tools such as ChatGPT, Jasper, Synthesia, and Descript are transforming how written and video content is created and edited, and how quickly. Additionally, the combination of first-party data and AI is allowing advertisers to create highly personalized content based on real-time behavior, instead of relying simply on audience demographics.

Realize leverages Taboola's extensive first-party data from powering publisher editorial and ad units, providing unmatched insights and targeting capabilities.
Video remains a critical medium for advertisers in 2025, but other, highly interactive mediums, such as quizzes and polls, augmented and virtual reality (AR/VR), and audio (podcasts and voice content) are also performing very well. Regarding audio, consider this: There are more than 584 million podcast listeners worldwide, and the number is growing.

(Source: Hubspot Blog)
But, that doesn’t mean marketers should shift all their focus away from video, since, as mentioned, short-form video in particular continues to perform very well.
AI-powered tools, such as Google Lens, Apple’s Siri, and Amazon’s Alexa, are changing how people interact with brands, as consumers rely on these voice assistants and visual discovery tools more than ever to search and shop. Google reports that commercial intent is detected in one out of every five Google Lens searches, and 80% of Gen Z rely on Google for all aspects of their shopping.
Augmented reality (AR) and Virtual Reality (VR) technologies are starting to change the shopping experience for consumers. AR works by adding digital elements, such as images or text, to your real-world view through your mobile device or tablet. VR takes it a step further by creating a fully immersive digital environment that you can experience through a headset, such as the Quest 3, from Meta.
In a recent blog post, Artlabs, an AI-powered 3D company, highlighted the following real-world examples of how AR is being used in retail shopping:
This AR-powered virtual try-on technology offers many benefits for advertisers, including personalizing the shopping experience, reducing return rates, and increasing conversions.
Influencer marketing has been around for a while, but it’s maturing and even fragmenting somewhat, with marketers increasingly leaning toward micro- or nano-influencers (those with fewer than 100,000 followers): 68% of marketers reported working with a niche influencer during the past year, while only 32% worked with larger influencers. Advertisers can benefit from working with smaller influencers because, alongside their increased relevance, they’ve established a high degree of loyalty with their audience, and as such, can generate higher engagement and conversions.
Gone are the days when advertisers could only target large groups of users by demographics or location. Using AI-powered ad networks, you can now adjust your ad creative in real time based on user behavior for a highly personalized experience. In a recent article on its website, Upspring.ai noted this example: “Starbucks uses predictive analytics in its app to tailor offers based on behavior. A morning commuter might get a coffee coupon, while someone else sees a cold drink promo during a heatwave.”
What’s even more impressive is that this personalization is happening at scale. Ad platforms can make millions of tweaks to ad creative, including text, images, calls to action (CTAs), colors, times, and more. Multiple viewers streaming the same video, e.g., might all see different ads from the same brand, based on their individual preferences.
One of the most significant trends in targeting is the shift away from third-party cookies and toward first-party data. Increasing consumer privacy expectations and stricter regulations, like the GDPR and CCPA, are raising the bar for how personal data can be collected and used. At the same time, major browsers including Google Chrome, Safari, and Firefox, are phasing out third-party cookies or exploring alternatives to protect user privacy.
This makes it more challenging for advertisers to use traditional cross-site tracking and targeting methods. The good news is that first-party data, which can be collected by platforms with log-in and purchase data, email sign-ups, and surveys on your own website, tends to be of higher quality anyway.
Ad creative is no longer just about good design — you need to build your ads based on previous campaign performance and predictive AI models. You also need to constantly A/B test, measure performance, and make real-time adjustments to boost engagement and conversions.
In 2025, marketers are creating more content tailored to each platform, in an effort to make each format feel native and attention-grabbing. While short-form video remains popular, motion in general is playing a bigger role — think subtle animations and dynamic elements in display ads or social posts. These help capture viewers’ attention and improve click-through rates.
In the past, multi-touch attribution (MTA) assigned value to each touchpoint in the customer journey. But, with third-party cookie loss and the increased prominence of walled gardens like Meta, Google, and Amazon, complete funnel visibility has become more difficult.
In 2025, MTA continues to be replaced by media mix modeling (MMM), which relies on historical data to predict how different marketing channels, such as paid search or email marketing, contribute to outcomes (e.g., conversion, sales). With MMM, you don’t need to track individuals across devices or platforms, so it’s unaffected by the loss of third-party cookies.
Data-driven marketing has been around for a long time, but the expectations on marketers to use the data to make smarter decisions, optimize in real-time, and increase personalization are higher in 2025. You can achieve this by focusing on first-party data, using the correct attribution in your customer touchpoints, and improving how you leverage data tools, such as customer relationship management (CRM) platforms and Google Analytics. You should also take advantage of advertising platforms that offer real-time AI-powered A/B testing.
In 2025, consumers want a seamless experience when interacting with brands, whether they’re clicking on a display ad, browsing a website, or walking into a store. To deliver, advertisers need to focus on omnichannel marketing, which includes creative messaging, consistent branding, and connected journeys.
What does that look like in practice, though? Let’s say someone sees a display ad for a new pair of headphones while reading an article online. They’re interested, but they don’t buy right away. Later, they see a sponsored content recommendation for a blog post reviewing the same headphones. They still don’t buy. The next day, they get a personalized email with a special offer. They click on the link and finally purchase the product. This is an example of a connected customer journey and the omnichannel experience at work.
I’ve mentioned first-party data several times throughout this article, and for good reason. With fewer cookies and more privacy rules, first-party data has become incredibly valuable to advertisers. The beauty of first-party data is that it is owned, permission-based, and highly accurate. Here are some ways advertisers can collect first-party data in 2025:
Gone are the days of static form lead generation. Today’s best lead magnets are interactive and helpful, blending seamlessly into the user’s journey. For example, tools like quizzes and assessments provide users with immediate value through insights or recommendations, and give marketers much more specific data than just a name and email.
Online calculators help users make decisions, and chatbots gather valuable information while providing users with friendly conversations. These all work because they’re highly interactive, personalized, and, if implemented correctly, seamless for the user.

Learn more about the best creative strategies for performance marketing in our playbook
In 2025, the majority of consumers use mobile devices to consume content and shop online. As a result, ads need to look great on smaller screens. There are several things advertisers need to ensure for this to happen:
Brands that can nail these attributes on mobile in 2025 will boost user attention, loyalty, and conversions.
As you can see, the most effective digital advertising strategies for 2025 are highly customized, data-driven, and built to withstand increased privacy regulations. Marketers are seeing the highest ROI from short-form video, personalized ad creative, and omnichannel experiences that blend seamlessly with the customer journey. As third-party cookies continue to be phased out, expect to see a continued reliance on first-party data and highly interactive lead generation tools.
AI can now drive a significant portion of content creation, as well as optimize ad campaigns. This enables advertisers to create content at scale, gather valuable data, and use that data to make real-time adjustments and boost ad performance.
Laws like GDPR and the CCPA are making it more difficult for marketers to obtain and use personal information. Coupled with this, more users are opting out of cookie consent banners, and ad blockers and private browsing are on the rise. These trends mean that marketers are being forced to shift from third-party targeting to using first-party data.
When you use first-party data as an advertiser, always get clear, informed consent from users. Tell them what data you’re collecting, why you’re collecting it, and how you will use it. Remember to use first-party data to refine your targeting when running ads on platforms like Meta, Google Ads, LinkedIn, TikTok, and Realize.
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