Creating Engaging Content That ChatGPT Recommends to Users

Aug 17, 2025

<a href="https://www.ewrdigital.com/author/matthew-bertram" target="_self">Matthew Bertram</a>

Matthew Bertram

Matthew (Matt Bertram) Bertram, creator of the LLM Visibility Stack™, is a Fractional CMO and Lead Strategist at EWR Digital. A recognized SEO consultant and AI marketing strategist, he helps B2B companies in law, energy, healthcare, and industrial sectors scale by building systems for search, demand generation, and digital growth in the AI era. Matt is also the creator of LLM Visibility™, a category-defining framework that helps brands secure presence inside large language models as well as traditional search engines. In addition to his client work, Matt hosts The Best SEO Podcast: Defining the Future of Search with LLM Visibility™ (5M+ downloads, 12+ years running) and co-hosts the Oil & Gas Sales and Marketing Podcast with OGGN, where he shares growth strategy and digital transformation insights for leaders navigating long sales cycles.

Woman chatting with Artificial Intelligence software on a computer in a modern workspace.

For enterprise businesses in Texas particularly those recently acquired or backed by private equity, visibility in AI-driven platforms is no longer optional. ChatGPT and other AI engines are rapidly becoming the gatekeepers of content discovery, and creating engaging content that ChatGPT recommends is now a key competitive advantage.

Why Content Discovery Is Changing

Gone are the days when users solely relied on traditional search engines. Today, people increasingly turn to AI assistants like ChatGPT, Bing Copilot, and Google Gemini to get curated, concise answers. These tools rely heavily on semantic relevance, user intent, and content clarity, not just keyword stuffing.

Enterprise-Level Implications

For businesses with over 50 employees and multi-million dollar operations, failing to appear in AI-generated summaries or chat recommendations could mean falling behind more agile competitors. In an AI-first world, your content has to meet machine-level relevance standards while still appealing to human readers.

“AI enables recommendation systems to analyze vast amounts of user data, learn user preferences, and predict which content they’ll likely enjoy.”

How ChatGPT Evaluates Content

ChatGPT and similar large language models (LLMs) don’t just look at keywords. They understand structure, relevance, authority, and coherence. If you want your content to be recommended, it must be:

  • Semantically rich
  • Well-structured with clear H1, H2, and H3 headers
  • Free of keyword spam and low-value fluff
  • Backed by credible sources
  • Focused on specific user intents

Strategies for Creating Engaging Content ChatGPT Will Surface

1. Align Content With User IntentWoman planning content

Understand what users are trying to achieve when they enter a query. Are they looking to solve a problem? Compare solutions? Learn a concept? Tailor your content to address these goals explicitly.

2. Use Natural Language and Conversational Tone

ChatGPT favors content that mirrors the way people talk and ask questions. Write in a way that is accessible, professional, and friendly. This makes it easier for AI systems to match your content to voice and text queries.

3. Focus on Entities and Context, Not Just Keywords

Use related terms, industry-specific phrases, and geographic indicators like “Texas-based enterprise SEO” to give your content contextual richness. This helps AI understand your content holistically.

4. Incorporate Structured Data

Use schema markup where possible to label your content’s intent, whether it’s a product, FAQ, service, or article. This helps AI tools and Google better categorize and surface your content.

5. Reference Credible Data and Resources

Link out to authoritative sources that reinforce your message. This boosts your credibility both with users and AI engines.

Benefits of Being Featured in AI Recommendations

  • Increased organic visibility in AI-generated overviews
  • Higher brand trust among decision-makers
  • Improved click-through rates from zero-click search experiences
  • Greater performance in voice and mobile searches

Incorporating enterprise SEO strategies alongside AI optimization is crucial for future-proofing your digital presence.

What Types of Content Perform Well with ChatGPT? AI-powered digital chatbot for natural conversations, robot applications, and intelligent interactions with artificial intelligence.

  • How-to guides and FAQs
  • Case studies and success stories
  • Thought leadership pieces
  • Local SEO-optimized content, especially in competitive states like Texas

When building out your next campaign, focus on developing content that answers common questions clearly and offers depth, not fluff.

Getting Started: Tools and Techniques

There are now purpose-built AI SEO tools that simulate how LLMs interpret your pages. These can help you optimize for semantic relevance, user experience, and featured snippet inclusion. Additionally, working with agencies that specialize in technical SEO and AI integration can accelerate your results.

Did You Know?
In 2024, the global AI software market is expected to grow to over $136 billion, reflecting the rapid adoption of AI technologies across industries.
Source

LLM Visibility: It’s Not a Traffic Game. It’s a Citation War.

Let’s get straight to the point: chasing clicks is yesterday’s hustle. Today, it’s about whether AI systems mention your brand—not just rank it. AI visibility means being cited in answers by ChatGPT, Gemini, Claude, or Google AI Overviews. That citation is like a neon billboard in front of millions of users who might never scroll your pages otherwise.

Here’s the kicker: AI‑generated visits convert 4.4 times better than regular organic traffic Semrush. So if your content isn’t citational, it’s not just invisible—it’s leaving money on the table.

Not Just SEO: AIO (Artificial Intelligence Optimization) Is the New Playbook

Traditional SEO is dead weight in the AI era. What matters now is AIO or Artificial Intelligence Optimization (also framed as Generative Engine Optimization or Answer Engine Optimization). AIO focuses on structuring content that LLMs can actually parse, cite, and trust—think token efficiency, contextual clarity, schema markup, canonical terms, and E‑E‑A‑T signals.

Every word, heading, and data point must be machine‑friendly enough for AI to lift, repurpose, and cite in a human‑facing response. No fluff. No guesswork.

Freshness Actually Matters. A Lot.

As I’ve been saying at EWR Digital old content can still perform, but in this AI-driven world it usually needs to be fresh. In our tracking, nearly 67% of AI bot activity is hitting content that’s been published within the last year, and when you extend that window to two years, it jumps to about 82%. That said, it’s not one-size-fits-all. In fast-moving spaces like Medical, you’ve got to stay razor sharp with ultra-fresh updates. But in more evergreen industries energy, technical guides, how-to content well-structured older pieces can still carry weight if they’re maintained.” –Matthew Bertram

Visibility Is About Signals, Not Just Content

Think signals: Where are humans talking about your content? Reddit? YouTube? LinkedIn? Google AI answers pull citations from places that show real engagement, not just polished prose. ChatGPT leans on Wikipedia and Reddit; Google AI Overviews favors Reddit, YouTube, Quora, and LinkedIn; Perplexity? Reddit and reviews like Yelp and TripAdvisor.

That means if you’re not actively present in those discussion ecosystems engaging, posting, answering, adding value you’re invisible. Authentic human engagement creates AI trust signals. You don’t game the system. You belong in it.

Trust Is the New Currency

Citations alone don’t cut it they must feel legitimate. Studies show that the mere presence of citations even random ones boosts user trust in AI-generated responses. Interestingly, when people tried to verify those citations, trust dropped but only partially. In short: AI-readable signals matter, but they must still pass something approximating a human sniff test.

So design your content not just to be cited but to hold up under scrutiny.

The Bottom Line: Future-Proof Your Brand with AI Citational Authority

Here’s the unvarnished truth: brands that nail AI visibility today will own the next decade. The companies that adapt to this citation-first reality will be the voice AI systems pull when questions are asked. And unless your strategy evolves, you’ll be invisible.

Don’t chase clicks. Build citation-worthiness through clarity, freshness, structure, and real-world engagement. Because in the AI era, visibility isn’t just about being seen it’s about being quoted.

Texas Enterprises Must Act Now

Whether your business has just gone through a major acquisition or you’re scaling rapidly in Texas, investing in content that AI recommends is a smart long-term play. Focus on clarity, authority, and user intent to ensure you’re discoverable in the new era of AI-first search.

Start with your most important landing pages, and develop a roadmap to enhance the rest. Making your content AI-friendly is not just about visibility it’s about leading the conversation in your industry.

EWR Digital helps enterprises stay ahead in an AI-driven digital landscape. To enhance your visibility in search, adapt to evolving algorithms, and future-proof your online strategy with advanced SEO solutions, get in touch with our team. Contact us today!

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