Tag: SEO Strategies

  • Boost Your AEO Strategy with New Contentful Integration

    Boost Your AEO Strategy with New Contentful Integration

    I’m thrilled to share that Profound Agents now offer direct integration with Contentful CMS. This integration brings native Contentful support right to your AEO automation stack, enhancing your strategy and capabilities.

    With this development, I’m sure you’ll find managing content and automations far more streamlined and efficient. Having the power of Contentful within reach means we can align more closely with modern content management needs.

    I’m eager to see how this integration will open up new avenues for optimizing our automated processes and elevating overall performance.


    Inspired by this post on Try Profound Blog.


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  • Boost Your Brand’s Visibility in ChatGPT Searches

    Boost Your Brand’s Visibility in ChatGPT Searches

    Every day, millions turn to ChatGPT for answers, but have you noticed your brand isn’t included in those results? I’ve been there, wondering why my brand isn’t gaining visibility and how to change that. If you’re like me and want to understand what’s happening, I’ve gathered the seven main reasons why ChatGPT might be ignoring your brand.

    Understanding these reasons is the first step to making a change. You’ll learn specific steps to enhance your visibility in AI searches, and I can tell you from experience, it’s worth the effort.

    Perhaps you’re wondering: what can I do to ensure my brand stands out? Don’t worry, I’m here to guide you through actionable strategies for gaining prominence in AI search results.


    Inspired by this post on genmark.ai Blog.


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  • 7 Creative GPT Automations to Boost Your SEO Workflow

    7 Creative GPT Automations to Boost Your SEO Workflow

    I’ve discovered how custom GPTs can revolutionize how we handle SEO, transforming repetitive tasks into efficient workflows. By leveraging AI, we can speed up our processes, from planning and analysis to reporting and technical work.

    If you don’t have access to paid ChatGPT, don’t worry. You can still utilize these prompts by saving them as standalone references in your notes. Remember, they’re just starting points, so modify them to fit your team’s requirements.

    Working with AI requires trial and error. My advice is to start with small tasks to practice writing prompts. Iterate on them and take notes on what produces good outputs.

    AI can sometimes be verbose, so it’s helpful to set strict formatting guidelines and clear context. Upload resources and articles to guide AI results, and always define the role and audience upfront.

    Let’s dive into seven prompts that I’ve found incredibly useful for developing custom GPTs dedicated to planning, analysis, and ongoing SEO tasks:

    1. Project plan GPT

    By analyzing previous project plans, I can create a GPT that assists in drafting this year’s focus areas.

    How to set it up

    • Input project plans from previous years.
    • Specify a format for consistency.
    • Determine the number of items or sections to include.
    • Include specific details unique to your team.
    • Optionally, integrate team feedback and retrospectives.

    Example prompt

    Based on last year’s project plan, outline this year’s focus. List three critical items for each quarter, ensuring at least one covers link building.

    Include a one-sentence summary for each recommended item and at least two KPIs to measure success.

    [Insert last year’s plan.]

    Now critique the plan. Offer three reasons against focusing on these items, providing sources for your notes.

    Dig deeper: How to use ChatGPT Tasks for SEO

    2. Site performance GPT

    By connecting performance dashboards or custom GA reports to ChatGPT, it can handle initial issue identification. This allows me to focus on investigating critical trends.

    How to set it up

    • Hook up reporting tools or upload data directly.
    • Direct AI on specific aspects to investigate.
    • Set frequency for data review, such as daily or weekly.
    • Provide examples of pages or categories to analyze.

    Example prompt

    Here’s the weekly site report. Analyze this week’s performance against last week’s data, summarizing sessions, conversions, and engagement.

    Highlight three successes and three areas needing improvement, color-coded by significance.

    [Insert report doc.]

    3. Competitor analysis GPT

    I’ve found it invaluable to scrutinize what works on competitor sites. This often involves tools like Semrush or Ahrefs.

    How to set it up

    • Integrate Ahrefs, Semrush, or upload relevant reports.
    • Select competitors and identify top-performing pages.
    • List key metrics for evaluation.
    • Create unique prompts for various levels of analysis.
    • Optionally, document metrics requiring deeper scrutiny.

    Example prompt

    As an SEO analyst, compare these URLs. Present a table detailing backlinks, average rank, top keyword, sessions, and value for each URL.

    Provide a concise summary of category leaders, referencing this link for criteria and citing sources.

    URL 1:
    URL 2:
    URL 3:
    Article reference:

    Dig deeper: Advanced SEO competitor analysis for better rankings

    Now, more than ever, custom GPTs are making a significant impact alongside existing SEO tools and workflows. They’re not about replacing the tools we use, but about making initial tasks smoother so that we can focus on insightful and strategic actions. By integrating them into our everyday processes, from planning to technical checks, we can really enhance our productivity.


    Inspired by this post on Search Engine Land.


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  • Harnessing the Power of First-Touch Analytics for Enhanced SEO

    Harnessing the Power of First-Touch Analytics for Enhanced SEO

    As I navigated through 2025, I kept hearing the same narrative from my SEO peers: organic traffic seemed to be dwindling, clicks were on the decline, and attribution models just didn’t make sense anymore.

    The evolution of AI-driven search experiences, with zero-click results and platform-level answers, has further complicated the gap between discovery and actual visits. This has made it even tougher to report accurately on organic performance.

    For many, the impact was clear—visible through double-digit declines in organic traffic and leads, year-over-year.

    Leaders rightfully asked, “Why are clicks dropping? Why does organic traffic appear 25% lower than last year? Is SEO failing us?”

    The truth is, organic search hasn’t ceased to be effective. Instead, our measurement methods haven’t kept up with current discovery patterns.

    Why Last-Touch Attribution is Outdated

    We haven’t been measuring organic search accurately.

    Many organizations still cling to last-touch attribution, only spotlighting the journey’s end rather than its beginning.

    Our attribution models, often linear – Search → Click → Convert – fail to capture the intricate user behavior today.

    Traditional models assume that discovery leads directly to a measurable click, but AI-driven SERPs are challenging that assumption.

    Last-touch attribution focuses on the finish line, ignoring the starting point of the customer journey.

    In this AI-first, zero-click landscape, the gaps in attribution widen, particularly for organic search.

    Our measurement isn’t entirely broken but outdated. It doesn’t tell the complete story.

    We need to rethink our KPIs and redefine success metrics, painting a full picture of the customer journey from beginning to end.

    Dig deeper: Marketing attribution guide: Models, tools, & best practices

    Problems with Last-Touch Attribution

    Last-touch attribution captures only the final stage of the customer journey.

    It misses preceding interactions across various platforms like Google, Reddit, YouTube, and AI channels.

    Relying solely on last-touch metrics can provide a useful baseline, but it fails to tell the complete story.

    With organic traffic down with the rise of AI, understanding first interactions is crucial.

    Preparing for First-Touch Attribution

    Many organizations still grapple with disorganized, siloed data, often fraught with quality issues.

    Reflect on your own data landscape: can you easily pinpoint how customers enter your funnel through organic means?

    • Are you attributing conversions correctly? Is AI traffic monitored distinctively?
    • Can you discern conversion differences based on the initial touch channel?

    Lack of search activity doesn’t necessarily imply ineffective SEO—perhaps your measurements are lacking precision.

    The solution? Clean and analyze every traffic-driving channel to truly understand organic search impacts.

    Dig deeper: Measuring zero-click search: Visibility-first SEO for AI results

    Validating Organic with First-Touch Analytics

    Imagine when someone searches, and your brand appears in AI results. That discovery is significant.

    If that individual visits your site later via social media or shows up in your store, did SEO not work?

    Absolutely, it did! By seeding visibility, organic results funnel potential customers into the journey.

    But how can we accurately measure when the conversion wasn’t a direct click?

    Understanding both first-touch and last-touch is crucial for a complete view of the customer journey.

    Organic searches lay the groundwork for credibility before any digital engagement occurs.

    Dig deeper: 7 must-know marketing attribution definitions to avoid getting gamed

    Visibility: The Key SEO Term for 2026

    The new measure of SEO success in 2026 isn’t just about clicks. It’s about visibility and mentions.

    AI’s choice to cite your brand makes organic visibility the first step to becoming top of mind.

    Today’s “organic” is about self-discovery by users across diverse platforms, not just Google.

    With AI, users can get information without visiting company websites, making brand visibility essential.

    As marketers, it’s vital to redefine visibility and strategize its expansion effectively.

    Dig deeper: How to build search visibility before demand exists

    Time to Expand SEO Strategies

    The fragmented, AI-driven world calls for elevating SEO’s role in early discovery, not diminishing it.

    Traditional post-click metrics fall short, unable to capture where true influence begins.

    Last-touch metrics often undervalue the critical early stages, particularly in AI contexts.

    First-touch analysis aids in linking organic visibility to final outcomes and business success.

    Despite the challenges, collaborative efforts across analytics and SEO can bridge these gaps.

    Adapting our approach to measuring SEO will ensure its growth and continued investment, even as traditional metrics shift.

    Dig deeper: MTA vs. MMM: Which marketing attribution model is right for you?


    Inspired by this post on Search Engine Land.


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