Brad Bartell

Tag: LLM

  • How Social Media Companies Can Use AI Without Losing Human Control

    AI is changing the way businesses work — and social media is no exception. Agencies are under constant pressure to deliver content faster, track trends in real time, and respond to audiences across multiple platforms. But in all the hype around automation, one principle often gets lost: AI should never replace human creativity and judgment.

    Instead, think of AI as a digital assistant that handles the repetitive, data-heavy tasks and gives you a head start on creative thinking. Humans remain in control, making the final decisions, ensuring brand safety, and applying the nuance that no algorithm can capture.

    Here are three practical ways social media companies can use AI to enhance their work — while always keeping people in the driver’s seat.

    1. Creative Campaign Ideation

    The challenge:

    Brainstorming campaign ideas is a cornerstone of social media marketing, but it can be time-consuming. Teams can spend hours trying to crack the “big idea,” only to end up circling the same concepts.

    How AI helps:

    AI can dramatically speed up the ideation process by:

    • Generating dozens of campaign angles from a single prompt.
    • Suggesting different creative formats (short-form video, Instagram carousels, LinkedIn thought pieces).
    • Tailoring ideas to audience segments (teen lifestyle, small business owners, B2B decision-makers, etc.).

    Where humans come in:

    The team takes these raw AI-generated ideas and applies strategy, creativity, and brand voice. Humans filter out what won’t resonate, refine what has potential, and ensure that the concepts align with client goals. AI provides volume and variety — humans provide vision.

    2. Social Listening & Insight Generation

    The challenge:

    Audiences move fast, and conversations can shift overnight. Agencies need to understand what’s trending, how competitors are positioning themselves, and where opportunities exist — but manually monitoring these signals across multiple platforms can eat up entire days.

    How AI helps:

    AI-powered monitoring tools can:

    • Track mentions, hashtags, and brand sentiment at scale.
    • Spot emerging trends before they hit the mainstream.
    • Highlight unusual spikes in competitor activity or audience engagement.

    Where humans come in:

    AI surfaces the noise; humans decide what matters. A strategist interprets the signals, applies market context, and recommends how to act. For example, AI might detect a sudden surge in conversation around sustainable fashion. A human marketer decides if it’s worth jumping in, how to align it with brand values, and whether it’s appropriate for the campaign calendar.

    3. Customer Engagement & Support

    The challenge:

    On social media, audiences expect instant responses — but agencies can’t realistically have humans available 24/7 to handle every comment, DM, or inquiry.

    How AI helps:

    AI chatbots and response assistants can:

    • Handle routine questions (“What are your hours?” “Where can I buy this?”).
    • Direct users to helpful resources or FAQs.
    • Flag urgent or sensitive conversations for human follow-up.

    Where humans come in:

    Community managers review and step in for anything that requires empathy, nuance, or strategic decision-making. When conversations escalate — such as customer complaints, influencer inquiries, or brand reputation issues — only a human can respond with the judgment and care needed. AI handles scale; humans handle relationships.

    Why Balance Matters

    AI is powerful, but it’s not perfect. Left unchecked, it can generate off-brand content, misinterpret conversations, or mishandle sensitive interactions. That’s why the best social media companies use AI as an assistant, not a replacement.

    By letting AI take on the repetitive tasks — brainstorming raw ideas, monitoring chatter, drafting first responses — agencies free up their human teams to do what they do best: create compelling campaigns, build client trust, and foster authentic connections with audiences.

  • Future-Proofing Your Content Strategy with llms.txt

    Search is evolving—and fast. With the rise of generative AI and large language models (LLMs), how your content is found, interpreted, and used is shifting from traditional keyword-based search engines to conversational AI platforms. In this new era, visibility isn’t just about ranking #1 on Google—it’s about being the source LLMs cite, summarize, or paraphrase in their responses. That’s where llms.txt comes in.

    What Is llms.txt?

    The llms.txt file is a new standard being proposed as a way for website owners to communicate how their content should be accessed and used by large language models like ChatGPT, Google Gemini, Claude, and others. It’s a simple text file placed at the root of your domain, similar to robots.txt, but with a focus on LLMs rather than search engine crawlers.

    For example:

    https://bradbartell.dev/llms.txt

    This file lets you:

    • Allow or disallow LLMs from training on or referencing your content
    • Specify conditions for use (like attribution or licensing terms)
    • Signal your openness to AI systems in a transparent, machine-readable way

    How Is llms.txt Different from robots.txt?

    While both llms.txt and robots.txt are used to guide automated systems, they serve different purposes:

    Featurerobots.txtllms.txt
    Primary AudienceWeb crawlers (e.g., Googlebot, Bingbot)Large language models (e.g., ChatGPT, Gemini)
    FocusSearch indexing and crawling behaviorAI training and content usage
    SyntaxStandard directives like Disallow, AllowEmerging conventions for AI content governance
    Current AdoptionWidely implemented and recognizedStill emerging, but gaining attention

    robots.txt tells search engines whether to index pages. llms.txt goes a step further by addressing whether your content can be used in training datasets or real-time generative answers.

    Why It Matters for the Future of SEO and AI Search

    As AI becomes the front door to more digital experiences, how LLMs interpret and use your content will define your visibility. This includes:

    • Whether your content is cited in AI-generated summaries
    • How accurate or up-to-date AI answers are when referring to your site
    • The ability to control or monetize the use of your original content

    By proactively adding llms.txt, you demonstrate digital maturity and readiness to engage with AI systems on your terms.

    How to Implement llms.txt

    1. Create a plain text file named llms.txt.
    2. Add directives or policy notes, such as:
    User-Agent: *
Allow: /
Attribution: required
Licensing: CC-BY-NC
Contact: ai@yoursite.com
    1. Upload it to the root of your domain (e.g., https://yoursite.com/llms.txt).
    2. Monitor adoption and adjust policies as standards evolve.

    Conclusion: Stay Ahead of the Curve

    The introduction of llms.txt is more than a technical tweak—it’s a strategic move. As more AI models crawl, synthesize, and present content, your site’s policies should keep pace. By embracing llms.txt, you’re not just protecting your content—you’re positioning your brand to thrive in the next wave of search and discovery.