Acclaro

For years, the goal of content marketing has been to rank for the right keywords. But AI-powered search is shifting the focus from optimizing content for keywords alone to optimizing content for meaning, context, relationships and relevance. Being visible is no longer enough. Instead, brands need content that AI systems can understand, connect, and surface in response to increasingly nuanced questions. Enter semantic content. Semantic content helps establish relationships between ideas, concepts, products and audience needs. When content reflects those connections clearly, brands have a better opportunity to demonstrate expertise, align with search intent, and remain discoverable as search continues to evolve. This is particularly important for organizations pursuing global growth. Content must do more than translate words from one language to another, it needs to preserve meaning, context and cultural relevance across markets while supporting the ways human audiences and AI systems discover information. The rise of Generative Engine Optimization (GEO) makes this shift even more important, which changes the traditional question of, “How do we rank?” to “How do we make sure our brand is understood?” That requires a more strategic approach to content that combines strong subject matter expertise, semantic richness, audience intent, and cultural relevance. Brands that embrace this shift can move beyond search visibility to turn content into a growth engine for engagement, customer acquisition and revenue. With Andrew Thomas, VP of Marketing at Acclaro Link in comments

Translation volume is easy to measure. Business impact is harder. Global content teams are under pressure to move beyond counting words in various languages and quick turnaround times. The better question is: What did that content help you achieve? From faster market launches to stronger customer engagement, translation should support the outcomes your business cares about. Read how to shift the conversation from translation volume to content outcomes in our blog linked below.

AI can lower translation costs. The question most teams are wrestling with is how to make that work inside a real localization program, where the costs land, what gets missed, and how to build a strategy that holds up over time. On August 27, we're hosting a live conversation with practitioners who are building and running localization programs right now to talk through what a real cost strategy looks like. Join us live with: Autumn Smith, Localization Program Manager at Datadog Lucio G., Sr. Solutions Architect at Phrase Erin Perry, PMP®, Senior Localization Project Manager at Acclaro Hosted by Andrew Thomas, VP of Marketing at Acclaro Register: https://lnkd.in/gJE-43vm

We are going live in a few minutes. Looking forward to answering your questions.

What do AIPE and AIQE actually mean? In plain English: - AIPE improves machine-translated content before human review. - AIQE evaluates quality and helps decide where human attention is needed. Together, they help localization teams move routine content faster while focusing linguists on what matters most: brand voice, cultural fit, terminology, and high-risk content. AI doesn't replace human expertise. It helps put that expertise where it adds the most value. Learn more in the article linked below.

Join us tomorrow, August 27, for a live conversation that unpacks where localization costs really hide, how to decide when AI belongs in your workflow, and ways to make the business case for it to leadership.   Perspectives from across the platform, services, and practitioner side: - Autumn Smith, Localization Program Manager, Datadog - Lucio Gutiérrez, Sr. Solutions Architect, Phrase - Erin Perry, PMP®, Senior Localization Project Manager, Acclaro - Andrew Thomas, VP Marketing, Acclaro   Link in the comments.

Translation isn't broken because teams translate too much. It's broken because too many workflows treat every piece of content the same. High-value content deserves more human attention while lower-risk content should move faster. That’s the idea behind a smarter, augmented workflow: use AI where it makes sense, bring in human expertise where it matters most, and focus effort where it drives business value. Check out the blog below about why global content needs a smarter workflow.

When does global growth fail? It's not because of ambition. It fails when localization can't keep up. One HRTech leader needed to expand into 30+ markets while improving translation quality and accelerating release cycles. With the right localization strategy, they achieved both. The result? Faster launches, higher-quality multilingual experiences, and a localization program built to scale. See how they did it in the comments.

Your global audience expects more than subtitles, right? They expect content that feels like it was created for them. As video, eLearning, and rich media become the standard, fragmented workflows slow teams down and make it harder to deliver a consistent brand experience. Our solution for multimedia orchestration brings together AI, expert linguist partners, and connected workflows so you can localize multimedia at scale without sacrificing quality or speed. See how we're helping global teams simplify multimedia localization in the comments.

Many teams are under pressure to cut translation costs with AI. Fewer have a clear strategy for how to actually make that work.   Join us August 27 for a live conversation on Localization cost strategy using AI, where the obvious and hidden costs live, how to decide where AI belongs in your workflow, and how to make the case for it with leadership.   Perspectives from across the platform, services, and practitioner side: - Autumn Smith, Localization Program Manager, Datadog - Lucio Gutiérrez, Sr. Solutions Architect, Phrase - Erin Perry, PMP®, Senior Localization Project Manager, Acclaro - Andrew Thomas, VP Marketing, Acclaro   Link in the comments.