Integrating AI into content creation significantly expanded the accessibility and reach of our material. For instance, we used an AI tool to automatically generate subtitles and translations for our video content. Initially, our videos were only accessible to English-speaking audiences, but by harnessing AI, we managed to include Spanish, French, and Mandarin subtitles. This step not only broadened our viewer base but also enhanced engagement from non-English speaking regions. Furthermore, we utilized AI to adapt the reading level of our articles to suit a broader range of educational backgrounds. By analyzing the complexity of text and simplifying language where necessary, we made our content more comprehensible to younger audiences and those for whom English is a second language. The feedback was overwhelmingly positive; users appreciated that the content was easier to understand and more inclusive, which in turn led to a higher retention rate on our website. This approach reinforced the value of using cutting-edge technology to break down barriers and ensure that information is accessible to all.
When it comes to making content more accessible for a wider audience, I treat AI as an assistant, not a replacement. I use tools like Claude to speed up my writing process, but I make sure to guide the AI carefully. I ask it to write at about an 8th-grade reading level and to avoid jargon and complex sentences. This way, the content stays simple, clear, and easy for more people to understand. Before publishing, I personalize everything -- adding my own creativity, unique insights and making sure it connects with the audience. This step is so important because real accessibility isn't just about simple words; it's about making the reader feel like the content is meant for them. Using AI this way helped me publish high-quality LinkedIn posts that reached a much larger audience in my domain. More people engaged, found value, and shared the posts. In fact, recent studies show that nearly 60% of marketers believe AI will help personalize content better in 2024, which proves how big this shift is. Like Maddy from Blogsmith says: "Content marketing success isn't about publishing a target number of articles but rather showing up consistently so that your audience sees you as a trusted resource." By using AI thoughtfully, I've been able to do exactly that -- show up more, reach more people, and offer more value.
I recently used AI-generated content to enhance the accessibility of a blog post I was working on, aimed at reaching a broader audience. The primary goal was to make the content more inclusive, especially for individuals with visual impairments or those who prefer consuming content in different formats. I used an AI-powered tool to automatically generate transcriptions of my video content, which were then embedded on the blog. Additionally, I leveraged AI to suggest alternative text for images and videos, ensuring they were screen reader-friendly. I also incorporated AI-driven language translation tools to provide multilingual versions of the content, making it accessible to non-English speaking users. As a result, the blog saw a notable increase in engagement from a wider demographic, with users from different linguistic backgrounds interacting more with the content. It also helped to improve SEO, as the AI tools provided better optimization for accessibility standards. The impact was significant in expanding the content's reach and ensuring that it could be enjoyed by a diverse audience.
We used AI to make our expert speaker profiles radically more accessible--not just in terms of disability, but in how different minds absorb information. Originally, our speaker bios were static and text-heavy. Great for search engines, not so great for actual humans--especially users who process better through audio, summaries, or visual cues. So we trained a lightweight AI model to generate three alternate formats for every profile: A short-form "pitch intro" for scanning, A plain-language version for ESL users, and An audio-read version using synthetic voice tech. The steps were fairly lean: we used OpenAI's API for summarization and simplification, and integrated text-to-speech via ElevenLabs. The AI-generated content was reviewed by a human once, then used as a fallback view in the user interface based on browsing preferences. The impact? Bounce rates on speaker profiles dropped 27%, and we saw a measurable uptick in outreach from non-native English-speaking event organizers--something we hadn't optimized for at all. Accessibility isn't just about checking a box. AI gave us a scalable way to meet people where they are, not where we assume they should be.
As a business owner, I used AI content tools to improve accessibility by converting our long-form blog posts into simplified summaries and audio versions, making them more digestible for audiences with different needs. I used AI to generate clear, concise summaries at a lower reading level and leveraged text-to-speech technology to create audio versions for users who prefer listening or have visual impairments. I also added multilingual support using AI translation tools to reach non-English-speaking audiences. The impact was significant--we saw increased engagement time on page, a rise in returning visitors, and positive feedback from users who appreciated the inclusive content formats.
I've used AI to improve accessibility by generating alt-text for images in a recent project. I used an AI tool to create short image descriptions, which gave me a solid starting point. While the AI did a decent job describing the basics, like "a woman in a wheelchair at a desk," it often missed the deeper context, like her expression or the purpose of the image in the story. So, I always reviewed and edited the text to make sure it was clear, relevant, and meaningful for someone using a screen reader. I also used AI to generate first drafts of video captions and transcripts. It was a huge time-saver, getting a full transcript in minutes instead of hours, but I still went through and cleaned up errors, fixed timing issues, and made sure names and terms were correct. The impact is that my content became a lot more inclusive, which led to higher engagement from users who rely on assistive technology. But while AI helped speed up the process, it's the human touch that makes sure it truly worked for everyone.
We've recently started using AI to make our video content more accessible and impactful for international audiences, without the need for full re-productions or multiple edits. For a recent project, we used ChatGPT to accurately translate English scripts into several European languages, ensuring the tone and context of the messaging remained intact. Then, we used HeyGen to redub the videos in those languages, complete with lip-syncing that matched the on-screen speakers. The result was incredibly smooth and far more engaging than traditional subtitles. This approach has allowed us to deliver content that feels natively local, helping our clients reach wider audiences without compromising on quality or tone. It's significantly cut down production time and costs, while giving our international viewers a more immersive experience, something that would've been far more resource-heavy just a couple of years ago.
One project where we used AI to boost accessibility in a tangible way was with ASL Flurry, an app we built to help people learn American Sign Language through fun, game-style interactions. Now here's the twist: sign language is visual, right? So we had a unique opportunity to use AI in a way that actually unlocks access rather than just adds fluff. We integrated an AI-powered sign recognition feature so users could practice signs and get instant feedback, without needing a live tutor. That alone broke down a ton of barriers--especially for people learning solo or in rural areas. But we didn't stop there. We also used AI to generate tiered difficulty levels and personalized game flows based on how users were performing, so it wasn't just "one size fits all." It adjusted in real time. The result? Way higher engagement, especially from users who felt traditional language apps didn't meet their needs. More importantly, it made the learning process feel approachable--which is really the whole point of accessibility. It's not about adding more tech. It's about using tech to meet people where they are.
At Tech Advisors, we recently used AI tools to make a cybersecurity checklist easier to understand for small business owners. The original document had solid information but was packed with jargon. I ran the content through ChatGPT and asked it to rewrite the checklist for someone with no IT background. Then I reviewed the output and rewrote a few sections myself to keep the tone friendly and real. I also ran it by a couple of clients for feedback before publishing it on our website. One of those clients, a dental practice we support in Florida, told us they finally understood what MFA was and how to turn it on. That was the moment it clicked for me. The goal wasn't to dumb things down--it was to make people feel confident enough to act. AI helped me spot the gaps in clarity and gave me a faster way to rewrite the content in plain English. If you're using AI to improve your messaging, I recommend focusing on clarity over cleverness. Skip the "future-proof your business" type phrases. Speak to your actual audience. Ask AI to explain something like you're five, then rewrite that response like you're talking to a client over coffee. You'll connect better--and in the end, that connection is what drives trust and action.
At Write Right, one practical example of using AI to improve accessibility was when we started utilizing AI-powered transcription services for our video content. We used these tools to automatically generate captions, making our videos accessible to those who are deaf or hard of hearing. Additionally, we implemented AI-based language simplification tools for our written content, allowing us to provide summaries and more digestible versions for users with different reading levels or those for whom English isn't the first language. The impact was that our content reached more people, and engagement increased because the content was now accessible to a wider range of users, regardless of their needs. Simple changes like these made a real difference!