It’s no secret that content is the foundation of your AEO, SEO, and overall visibility strategy. Technical site health is important because you need to ensure your content is both crawlable, visible, and understandable for bots; but your actual content is what LLMs are drawing from to generate answers.

And if your content isn't worth citing, no amount of technical optimization will save it.

But what does content that is "worth citing” look like, and how do you go about creating it?

Citation-worthy content isn't just well-written. It's structured, substantive, and shows a unique enough voice, or point of view to stand out in a sea of AI-generated slop. It also has to be original, scannable, and accessible in formats machines can read.

Below you’ll find 11 tips to help you create content that earns citations, roughly ordered from strategy, to execution, and maintenance. Not all of these tips will be applicable to every page you create, but they are all worth paying attention to, particularly for your most resource-intensive content (i.e. the content you’re investing the most time or money in).

1. Map content to the intent behind each prompt

AI search is deeply personalized, which means two users can arrive at the same answer, recommendation, or page through completely different prompts if their intent was similar enough. LLMs are good at making connections and understanding how ideas relate, so stuffing your content with niche prompt language isn’t the answer. In fact, like keyword stuffing, it can often backfire.

The better move is to understand the intent driving the prompts your audience is using, then build content that serves that intent directly.

Intent generally falls into a few categories: informational, navigational, commercial, and transactional. A single topic can span all four, but in my experience, most brands over-invest in creating content for one or two intent categories and under-invest in the others.

Here's how to approach focusing on intent:

• Audit your existing content by intent, not just topic. Pull your top-performing pages and label each one by the intent it serves. If 80% of your content is informational, you're likely invisible for the comparison and evaluation prompts where buyers make decisions, which fall under commercial or transactional intents.
• Identify the intent gaps your competitors are filling. For example, if a competitor is getting cited for "best CMS software for small teams" and you aren't, that's an evaluative-intent gap worth closing with a purpose-built page.
• Match format to intent. Informational intent usually warrants a long-form guide. Other intents are better served by formats like side-by-side tables, honest pros and cons, or specific recommendations for specific use cases. Don't use one format to serve all four intents.
• Build for broad, long-tail intent, not just the main term. A broad prompt like "best running shoes" is crowded and hard to win. But high-intent variants like "best running shoes for a flat-footed beginner marathon trainer" are where specific, helpful content actually gets cited.

2. Think in entities and topics, not just keywords

AEO requires a different mental model than keyword-led SEO. LLMs don't match queries to pages based on keywords; they understand the world in terms of entities (people, places, products, concepts) and the relationships between them.

When someone asks ChatGPT, "What are the best running shoes for a flat-footed beginner marathoner?" the LLM isn't looking for pages that exactly match those keywords. It's identifying the entities within the question (running shoes, flat feet, beginner, marathon training) and pulling from sources that establish clear expertise across those connected concepts.

Instead of building around individual keywords, build around topics and the entities that make up those topics. An athletic eCommerce brand shouldn't have one page targeting "running shoes for flat feet" and another targeting "best beginner marathon shoes." They should have a connected topic cluster of content and product pages covering foot types, training levels, race distances, and shoe categories, with clear relationships between them.

That signals to LLMs that the brand has genuine depth across the full topic, not just coverage of isolated keywords.

3. Prioritize proprietary research and unique content

Don't just write the same article your competitor wrote. Your unique perspective is a big part of what drives visibility. Anyone can go to ChatGPT and have it generate an article on a given topic. What sets your content apart is your point of view, your brand's expertise, and the original data only your brand can provide.

Including these unique insights is a great way of embedding Google's E-E-A-T (experience, expertise, authoritativeness, and trustworthiness) framework into your content. Originality is one of the clearest ways to demonstrate real expertise, and LLMs are increasingly weighing those signals when deciding which sources to trust.

Unique content that answers real questions is more likely to get highlighted and promoted in search, and few things are more authoritative than proprietary data-backed research. Nobody can repurpose your stats or data without citing you, which is great for your owned and third-party visibility.

LLMs and external sources like news outlets look for original sources providing the freshest data and expert insights, and being one earns you backlinks, citations, and a steady lift to your domain and entity authority.

4. Write for chunkability

Once you know what you're writing and how it's differentiated from what’s already out there, structure comes into play.

The structure of your content matters now more than ever. If your content has a logical structure and is easy to follow, LLMs have an easier time crawling, and understanding it; and are more likely to surface it.

LLMs don't read pages the way humans do. They break content into small, semantically coherent chunks — passages, sections, or Q&A pairs — that can be retrieved and recombined to answer a user's prompt. The more chunkable your content is, the more likely LLMs are to pull a specific section into a response and cite you as the source.

Writing for chunkability means making every section stand on its own. A reader or an LLM should be able to drop into the middle of your article, read a single section, and come away with a complete, useful answer. That means leveraging clear topic sentences, self-contained paragraphs, and headers that accurately reflect the content which follows.

5. Use clear hierarchy and scannable formatting

The goal is to make it effortless for AI to parse your content and pull whole sections into responses. That means leveraging bulleted lists where they make sense, employing a clear H2–H6 hierarchy, and opting for shorter, more digestible paragraphs rather than long walls of text.

Making sure your paragraphs are easily digestible is only part of the battle. Clear headings and a logical content structure show how concepts relate to each other and which ones carry the most weight. Where applicable, headers should align with the real questions your audience is asking.

This makes it easier for both readers and bots to find what they need, and if your headers align well with how your audience prompts AI, the LLM might pull directly from those sections, and cite you.

6. Build in FAQ sections where appropriate

FAQ sections are one of the highest-impact formats for AEO. They map directly to how users ask AI questions, and they're naturally chunkable (question in, answer out). Plus, when paired with FAQ schema, they give LLMs an unambiguous signal about what each section is answering.

That doesn't mean every page needs an FAQ section. But for pricing pages, product pages, buying guides, and any content aimed at consideration-stage research, an FAQ section at the bottom covering five to ten real questions can meaningfully increase your chances of being cited.

7. Make use of internal linking

Internal links tell LLMs how your content is connected and/or related, which pages are most important, and how authority flows across your site. A page with strong internal links from other relevant, high-authority pages on your site gets interpreted as more important, just like it does in traditional search.

This is also where your topic clusters pay off. The entity relationships you've built into your content strategy only become legible to an LLM if the pages within each cluster actually link to each other.

8. Don't forget about titles and meta descriptions

Titles and meta descriptions still matter for AEO, maybe even more than they did for SEO. They're often the first thing an LLM reads on a page, and they're doing double duty: signaling relevance for traditional search rankings and helping AI quickly understand what a page is about when deciding whether to cite it.

These principles apply to both AEO and SEO:

• Write titles that clearly and specifically describe what the page contains
• Craft meta descriptions that genuinely summarize the page
• Match titles and meta descriptions to the actual questions your content addresses

Titles and meta descriptions are small pieces of real estate, but they're very powerful in both SEO and AEO. Treat them with the weight they deserve, not as afterthoughts.

9. Don't hide content in formats LLMs can't read

Some of the most important content on your site might be invisible to AI, and you may not even realize it. Generally speaking, LLMs can't read:

• Images and infographics, where information is baked into the image rather than coded as text (tip: avoid creating tables as images because LLMs are unable to read them)
• Content rendered only in JavaScript, especially interactive elements, accordions, or tabs that require user interaction to reveal the information
• Gated content behind forms, paywalls, or login walls, e.g. PDFs that aren't paired with an HTML version of the same content
• Videos without a transcript or structured captions

If your best research report lives only in a gated PDF, or your most important product comparison is an image-based infographic or table, AI engines can't crawl or cite it, no matter how good the content itself is.

The fix for visual and video content is usually the same: give machines a text equivalent. Write concise but detailed alt text for images. Publish transcripts alongside video. An eCommerce brand that sells athletic apparel might have influencer videos announcing a new sneaker—those shouldn't just live on the site. Publishing them to the company's YouTube channel with the transcript alongside gives LLMs something to actually work with when answering questions about what the product is, how it works, and who's recommending it.

Gating creates a real strategic tension for content marketing teams: some content is intentionally gated for lead generation. But you can't have it both ways. If a piece needs to drive pipeline through gated downloads, it won't drive AI visibility. If it needs to drive AI visibility, it has to be crawlable.

Identify the primary goal of the content early (AI visibility or lead gen) and ensure you are creating enough content to support each of those goals.

• For AI visibility: Publish in HTML, with clear structure, schema markup, and all key information accessible without interaction.
• For lead gen: Gate the full asset, but publish an HTML summary with unique data points and key insights that can be crawled, cited, and used to drive people toward the gated version.

10. Keep content fresh, and keep optimizing it after publishing

Publishing a great piece of content isn't the end of the job. It's the start of it.

LLMs weigh recency heavily when deciding which sources to cite, which means last quarter's definitive guide can quietly lose ground to a competitor's unless you actively keep it current.

Content optimization is just as important as creating net-new content. Often, it's more important when it comes to AI search visibility. The pieces you've invested significant resources in are the ones most worth protecting, and the easiest way to lose visibility on them is to treat the publish step as the finish line.

Here are a few practical tips to maintain content freshness:

• Audit your top-performing content quarterly. If a piece is driving citations, keep it healthy with regular optimizations. If a piece used to drive citations and no longer does, figure out why and take the necessary action.
• Update publishing dates meaningfully. When you make significant updates to a piece of content, update the external-facing published date. But don't try to game the system by changing dates without making real updates. LLMs and search engines both pick up on the inconsistency.
• Refresh stats and examples on a set cadence. Data-backed content loses authority as statistics age out or get replaced with more recent studies. Build refresh cycles into your editorial calendar.
• Monitor which pieces are losing citations. The right AEO platform can help you identify content that's slipping so you can refresh it before it disappears from AI answers entirely.

The brands that win in AI search aren't just the ones publishing the most. They're the ones making sure their best content stays fresh and citation-worthy.

11. Prioritize building genuine authority

Shortcuts don't work for AEO any more than they did for SEO. Brands that engage in tactics to artificially inflate their visibility are setting themselves up to fail. There are no quick wins in AEO. The only way to build sustainable growth is through high-quality work.

Instead of manipulative AEO tactics like creating thin, self-promotional listicle content, generating AI slop at scale, or deploying spammy structured data, focus on the following to achieve sustainable success:

• Focus on E-E-A-T. Answer engines prioritize information from trusted sources. Demonstrate your experience and expertise by sharing proprietary data, original research, and unique perspectives that can't be found elsewhere.
• Establish authorship and brand authority. Ensure every piece of content is tied to an expert. Build your brand's digital footprint through internal thought leader author profiles, high-quality backlinks, positive mentions on authoritative third-party sites, and consistent entity representation across the web.
• Implement a human-in-the-loop approach to AI. Using AI to help you generate content isn't inherently bad, but mass-publishing unedited AI content is a recipe for disaster. Always keep a human in the loop to edit, verify, and infuse your brand voice and expertise into any AI-assisted content.
• Leverage agentic workflows powered by robust data. The pace of innovation in AI isn't slowing down, and leaders expect results fast, but compromising on quality isn’t the answer. Start experimenting with ways to leverage agentic AI to streamline your workflows. The MCP revolution is changing how systems interact, and connecting your enterprise data directly to AI agents lets you scale content optimization securely and efficiently.

This is also a good moment to be honest about AI-generated content. While these tools make it easier than ever to publish at volume, AI slop at scale isn't the goal, and LLMs are increasingly good at recognizing and deprioritizing generic, low-value content. Quality over quantity arguably matters more for AEO than it ever did for SEO, because you're not just competing for a ranking anymore — you're competing to be the source AI actually trusts and cites.

Final thoughts

If you want to create citation-worthy content, you need to ask yourself three questions.

• Does this content say something only I, or our brand can say?
• Can a machine actually read, parse, and understand this content?
• Is my content still performing six months after it’s published?

The structural work around chunkability, content hierarchy, FAQs, internal links, continuous optimizations, and HTML-first publishing can be tedious, especially when it requires replacing outdated content workflows. But it's the difference between content that gets overlooked and content that gets read, recommended, and cited.

If you’re not sure where to start, run a test with a few of your highest-value pages. Audit them, fix what's broken, and see how they perform over time. From there, you can build a larger optimization plan.

While AI has definitely changed search, one thing is still true from the days of SEO: improving visibility is a continuous process, not a one-off optimization.