Tag: Gutenberg

  • How AI Revolutionized My Hreflang XML Sitemap Creation

    How AI Revolutionized My Hreflang XML Sitemap Creation

    I’ve witnessed AI tools become indispensable in automating complex processes that traditionally demanded a lot of manual effort. However, I’ve also seen them used without any real benefit just because they are available.

    That’s why I prefer focusing on AI applications that save time and address genuine challenges.

    Recently, I was tasked with aligning the SEO architecture for over a dozen websites across three separate businesses, eight regional domains, and numerous languages, including three English dialects, Italian, Japanese, Spanish, Thai, French, and Korean.

    Mapping thousands of URLs to create seamless hreflang XML sitemaps traditionally required specialized software or extensive spreadsheet work. Instead, I used Google Gemini to develop a custom Python script to handle the heavy lifting.

    Here’s how an initial prompt evolved into a fully customized automation tool and what it taught me about utilizing AI for technical SEO.

    Where AI Delivers the Most Value

    I leverage AI primarily for practical, time-saving tasks, including:

    • Generating regex patterns when I need quick solutions without researching syntax from scratch.
    • Creating complex spreadsheet formulas for reporting workflows that depend on manual data exports.
    • Speeding up research and planning for projects requiring competitive analysis across business lines.
    • Building custom automation tools for recurring SEO and data-processing tasks.

    The hreflang project I discuss here fits perfectly into the last category.

    Mapping hreflang at Scale

    The challenge was straightforward: accurately map thousands of URLs across multiple multilingual websites into cohesive hreflang XML sitemaps.

    I chose not to tackle this manually. Instead, Google Gemini helped me build a custom Python solution.

    Here’s a walkthrough of how the process unfolded.

    Phase 1: Asking for an Approach, Not Just a Script

    One common pitfall of using generative AI for coding is asking it to sprint before understanding the course. Typing, “Write a Python script to create an hreflang sitemap,” will yield generic code prone to breaking with real-world data.

    Instead, I started by asking for an approach. I detailed the scenario: multiple regional domains, organic growth over several years leading to mismatched URL slugs, translated subfolders, and appended revision years.

    Gemini suggested a multi-step, data-driven approach:

    • Crawl the websites to collect live URLs and their metadata.
    • Use Python in Google Colab to process the raw data.
    • Run an exact match cluster to group identical slugs.
    • Use an advanced semantic AI model (like SentenceTransformers) to fuzzy match translated pages based on their titles and normalized URLs.

    Phase 2: Crawling and Data Collection

    Following the recommended strategy, I used a crawler to spider all regional websites to generate a unified CSV file with live URLs, status codes, title tags, and H1s. Screaming Frog proved ideal for this task.

    The quality of AI output relates directly to the quality of your crawl data, so make sure it’s robust.

    An AI script can miss an obvious “exact match” if a target URL is a 404 or a 301 redirect. Before feeding data into the script, filter your CSV to include only indexable content.

    Dig deeper: International SEO in 2026: What still works, what no longer does, and why

    Phase 3: The Google Colab Sandbox

    Google Colab offers a free, cloud-based Jupyter notebook environment for coding, bypassing local installations or environment variable issues. I used Google Drive to access it. The free version sufficed for this project.

    After uploading the CSV to Colab, Gemini provided an initial Python script that utilized a domain-mapping routine to assign language codes, clean the URLs, and generate an XML tree. The initial results required refinement.

    Phase 4: The Iteration (Where the Real Work Happens)

    If you expect AI to produce a flawless script on the first try, you’ll be disappointed. Like an intern, AI requires oversight. The true value lies in iteration.

    After running the initial script, several unmatched URLs left orphaned pages rather than grouping them with international counterparts. Here’s how I iteratively guided AI through the complexities of human-managed websites.

    The Directory Flattening Problem

    The U.S. site had recently reorganized its blog into topical folders, unlike the Mexican and Italian sites. I presented these mismatches to Gemini, leading to a script adjustment that flattened directories, allowing slugs to align.

    The Aggressive Semantic Trap

    Concept traps we implemented were initially strict. A UK article about manufacturing wouldn’t match its Italian counterpart due to a slightly different title. By loosening these traps for general industries and enforcing them for critical terms, the AI became adept at delivering better matches.

    The Translated Slug Epiphany

    The pivotal insight arrived when examining Mexican blog orphans. A Spanish URL /detras-de-escenas-historias... matched the English /behind-the-scenes-stories..., which I pointed out to Gemini. As a result, Gemini updated the script to create a “Combined Semantic Signature,” dynamically translating slugs and efficiently bridging language gaps.

    Dig deeper: Cultural SEO: A practical framework for Spanish markets in AI search

    Lessons from Building an AI-Assisted SEO Tool

    This project reinforced a simple truth: AI excels as a collaborator rather than a shortcut.

    • Be the strategist, let AI be the coder: Rather than demanding a finished product, discuss architecture and logic first, treating AI as a junior developer needing guidance.
    • Provide concrete examples: Don’t simply state, “It’s broken.” Give specific failed URL examples or mismatches to help AI refine its logic.
    • Embrace the iterative loop: Run the code, identify issues, and iterate. Each iteration enhances the tool’s intelligence.
    • Leverage Google Colab: You don’t need to be a Python guru to apply Python in SEO. Colab bridges the gap, providing access to complex data science libraries in your browser.

    In the end, I had a fully customized Python script capable of processing a massive CSV to generate a cross-referenced hreflang XML sitemap in minutes.

    Though AI isn’t replacing technical SEOs, those who collaborate with AI to build scalable tools will have a significant edge.

    Dig deeper: How AI search defines market relevance beyond hreflang


    Inspired by this post on Search Engine Land.


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  • Mastering the Art of Finding Exceptional Content Writers

    Mastering the Art of Finding Exceptional Content Writers

    How to find great writers (and other content marketing struggles)

    I’ve realized that when it comes to content, you truly get what you pay for. In 2026, I’m constantly exploring new ways to locate outstanding writers, from job boards to LinkedIn and more.

    As a marketer, I find myself spoiled for choice when it comes to sources for stellar content. Nowadays, there are more tools and job boards available, making it simpler to locate talented writers and generate compelling content.

    However, this abundance also brings challenges, such as prioritizing speed and cost over quality.

    If I’m aiming for great (not just good) content, I know some sources are more reliable than others.

    This guide will help me find top-tier writers and build a content strategy that ensures quality without sacrificing speed.

    Struggle 1: What qualifies as a ‘great’ content writer?

    Identifying a great writer can feel a lot like evaluating a new love interest. They may look good on paper and make a strong first impression, but how can I be sure they’re the right fit?

    Just like a love interest, I need to invest time to truly know the writer. But that doesn’t mean I go in blindly. Here’s what I focus on to find the perfect match without wasting time.

    Evaluate the fundamentals

    I look for writers with a strong grasp of grammar, spelling, clarity, and structure. Instead of formal tests, I examine their portfolios and content samples for quality.

    A few email exchanges during the hiring process can also reveal their communication skills and confidence.

    Make sure they know how to write for people, not bots

    Great writers understand that search engines favor content crafted for people rather than formulas. When evaluating samples, I keep an eye out for readability and SEO expertise.

    I try to read through and ask myself, “Would this content be useful and engaging for my target audience?” If the answer is no, I know search engines won’t favor it either.

    Choose effective copywriters

    For a solid return on investment, I prefer writers who possess SEO copywriting skills beyond basic SEO tactics.

    While driving traffic is essential, skilled copywriters guide readers toward action, be it signing up, clicking through, or making a purchase.

    Assess how easily understandable their work is

    I put importance on checking readability scores for potential writers. Sometimes, an article may appear well-written but holds a low score for readability, signaling a lack of clarity.

    Find writers that adapt to the audience

    My ideal writer not only understands the product or target demographic but deeply connects with the audience’s mindset. I ask for niche-specific samples to ensure they understand my audience’s needs and frustrations.

    Dig deeper: How SEO can collaborate with content teams

    Struggle 2: Where can I find great content writers?

    In my experience, you can find “good” writers almost anywhere. However, I notice a difference between choosing Fiverr and more selective platforms offering better screening opportunities.

    Blogging sites

    I often look for SEO content writers on blogging sites like Medium, Substack, and LinkedIn. These platforms allow me to see real-time writing and communication styles.

    Google and other search engines

    Google is a resourceful tool for finding high-quality writers. Those who maintain their own websites often showcase their understanding of SEO through their content marketing efforts.

    LinkedIn and Facebook groups

    By joining writer and freelancer groups on LinkedIn and Facebook, I observe conversations and discover writers who share their work and thoughts.

    Peer recommendations

    I don’t shy away from asking for recommendations. Strong writers often get referrals in their communities. Business owners frequently suggest top performers known for real-world project success.

    Dig deeper: How to build an effective content strategy for 2026

    Struggle 3: Do I need an ‘SOP’ for my writers?

    Absolutely. Even when working with experienced writers who manage multiple clients, each has unique preferences and styles. I use standard operating procedures (SOPs) to minimize guesswork and enhance clarity.

    Many businesses misinterpret the struggle to find writers with the challenge of retaining them. Without clear directions and SOPs, there’s room for confusion. I’ve found that SOPs save time and keep everyone on the same page.

    If writing SOPs feels overwhelming, I consult with operations specialists who can streamline the process, boosting my ROI and ensuring writer satisfaction.

    Dig deeper: How to document your content strategy

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    Struggle 4: How much should I pay for content?

    The allure of low-cost content is tempting, especially with quick turnaround promises. But I question the time needed to revise or rewrite it.

    If I don’t have editors on hand, this might mean more time editing than crafting it myself. Investing in inexpensive writers isn’t wise without adequate training resources.

    In 2026, I’m preparing to pay at least $0.20 per word for premium content. Rates vary, depending on a writer’s expertise and accolades. Ultimately, I look for writing that truly converts.

    Dig deeper: Mastering content quality: The ultimate guide

    Struggle 5: Should I use freelance writers or build a team?

    Choosing between freelancers and an in-house team hinges on my objectives and budget. Freelancers provide flexibility, scaling content as needed without heavy resources.

    Conversely, an in-house team offers consistency and deep brand knowledge. While creating more content or operating in complex niches, this consistency becomes invaluable.

    For many, a hybrid model is effective: blend an internal team for editorial control with freelancers for scaling. Tailoring the content system to resources can fit any business stage.

    Dig deeper: 5 SEO content pitfalls that could be hurting your traffic

    Struggle 6: Is ‘great content’ worth the investment?

    From my perspective, optimized content, just like anything else, yields returns based on investment.

    By working with top-quality writers, I see an increase in traffic and rankings, making the investment worthwhile. The benefits of high-quality content amplify over time.

    I find well-researched content draws qualified visitors long after it’s published, and builds trust with audiences, ultimately fostering more sales.

    Great content supports the entire customer journey by answering queries and positioning the brand as credible, providing value throughout their experience.

    A skilled writer attracts the right audience, making each investment worthwhile.

    Great writers come from clear standards, not lucky hires

    I’ve learned that finding exceptional writers isn’t about luck, but about maintaining clear standards.

    Understanding what quality looks like and where to look transforms the process into a predictable and less frustrating experience.

    The most successful content programs approach writing as a sustainable investment, pairing writers with clear expectations, fair pay, and repeatable systems for long-term value.


    Inspired by this post on Search Engine Land.


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