On-page content formats answer engines actually favor [new research]

It seems like every brand is scrambling to get a piece of the pie in this new answer engine optimization (AEO) world. But what if you could get ahead of the curve by knowing the best on-page content formats for AI as verified by research? I pored over results from the new HubSpot State of AEO 2026 report and Wix Studio’s AI Search Lab research on most-cited content types to find out.

In this article, I’ll cover which formats earn the most citations across ChatGPT, Gemini, AI Overviews, and Perplexity, why LLMs favor them, and how to apply them to both new and existing pages on your site. You’ll also find format-by-format templates, a five-step audit for legacy content, a measurement framework for AI visibility, and a governance model for keeping cited pages fresh.

Table of Contents

The best on-page content formats for AI across the board are listicles, articles, product pages, and category pages, while comparison content tops ChatGPT specifically, at a 95% citation rate — the highest of any format on any engine. These conclusions come from two independent 2026 datasets — HubSpot’s State of AEO 2026 and Wix Studio’s AI Search Lab — which analyzed over a million AI citations between them.

Content type is one of the three layers that influence citations. Cited pages pair the format with an intent-matched title pattern (“What is X,” “X vs. Y,” “How to X,” “Best X”) and citation-correlated structural elements: statistics and data, visible last-updated dates, author bios, and FAQ sections with schema. Match the format to buyer intent, then layer the title pattern and structural signals on top.

Listicles, articles, product pages, and category pages are the four most-cited content types overall, and comparison content wins ChatGPT outright with the highest single-citation rate in either dataset. That’s the picture across two independent datasets: HubSpot’s State of AEO 2026, which analyzed thousands of citation themes between December 2025 and March 2026, and Wix Studio’s AI Search Lab, which indexed over a million citations across 75,000 AI answers.

A scope note: This article covers on-page content formats — the pages you publish on your own domain. Third-party discussion content (Reddit, G2, LinkedIn, Quora) sits outside that scope, but it’s worth flagging that discussions account for 17.35% of Perplexity citations in the Wix dataset, more than double the cross-engine average. If Perplexity matters to your buyers, an off-site discussion strategy is a parallel effort to the on-page work in this piece.

A taxonomy note: Both studies treat “blog posts/articles” and “listicles” as separate categories, even when the listicle lives on a blog. So throughout this article, “article” and “blog post” refer to informational long-form content (the “What is X” or explainer kind), and “listicle” is treated as its own format.

Content type is only one of three on-page layers that correlate with high AI citations:

• Content type: What the page fundamentally is (listicle, article, product page, category page, comparison, how-to guide)
• Title pattern: How the title is phrased (“What is [X],” “How-to,” “X vs. Y,” “Best [X]”)
• Structural elements: What goes inside the page (FAQ sections, schema markup, statistics, last-updated dates, author bios, outbound links)

For the rest of this article, I’ll use “format” as the umbrella term under which all three sit.

Content Types AI Engines Cite Most

Both datasets from HubSpot and Wix agree on the same top three formats as cross-engine safe bets: listicles, articles, and product pages. Wix, in particular, found category pages as the fourth most-cited, and HubSpot discovered that comparison pages are favored by ChatGPT specifically. Here is the engine-by-engine breakdown from State of AEO:

State of AEO 2026 measured citation rates — the share of queries where the answer engine cited at least one page of that content type — across eight content categories. The per-engine leaders:

• Google AI Overviews: Blog posts (42% citation rate)
• Gemini: Blog posts (76%)
• ChatGPT: Comparison content (95%, narrowly edging out PR at 92%)
• Perplexity: Product listings and landing pages (84%)

Caveat on ChatGPT: Every content type measured on this answer engine scored 69% or higher, with most clustered between 86% and 95%. ChatGPT is comparatively format-agnostic. Content type matters more in AI Overviews, where rates vary widely, from 5% (news) to 42% (blog posts).

State of AEO’s top-three claim rests on three layers of evidence in the report:

1. Citation rate averages. Across the four engines measured (AI Overviews, Gemini, ChatGPT, Perplexity), only three content types clear a 65% average citation rate: product listings or landing pages (68.5%), blog posts (66.75%), and listicles (66%). Comparison content sits fourth at 62.75%, while documentation, PR, user reviews, and news all average below 60%.
2. Brand-level confirmation. Every one of the top-cited B2B brands in the report has its most-cited page type inside the blog/product/listicle set. State of AEO reports a similar pattern in B2C, where blogs and product pages dominate among top performers. Microsoft’s “What is a CRM?” blog post was a standout, and NerdWallet’s top performer was a product page/listicle.
3. The explicit recommendation. The report’s “Next steps” callout states: “Product pages, blogs, and listicles are the most cited across answer engines, so make sure yours are optimized and up to date.”

Wix Studio’s AI Search Lab, built with Peec AI, looked at the same question from the opposite angle: share of citations across all engines, not rate within each. Their top three:

• Listicles (21.9% of all citations)
• Articles (16.7%)
• Product pages (13.7%)

Those three formats earned more than half of every citation Wix measured.

The practical takeaway: Listicles, articles, and product pages are the safe cross-engine bets. Comparison content earns its place by winning ChatGPT outright, and how-to earns its place by leading on title pattern in AI Mode and Perplexity and over-indexing on informational queries in the Wix data. Layer engine-specific tweaks on top: comparison framing for ChatGPT, informational depth for AIO and Gemini, and step-by-step structure for AI Mode.

Title Patterns That Get Cited

In State of AEO’s dataset, title pattern is the single most significant citation factor when writing meta titles. Here’s what it found:

• “What is [X]” tops both Google AI Overviews and Gemini.
• “X vs. Y” comparison titles top both ChatGPT and SearchGPT.
• “How-to” tops both Google AI Mode and Perplexity.

Including the year in the title and H1 correlates with higher citations in AI Overviews, according to State of AEO. My advice would be to only commit if you’ll genuinely refresh the post each year; a title that still says “2024” in 2026 might hurt your case.

Structural Elements That Correlate With More Citations on Any Content Type

Per HubSpot’s State of AEO 2026:

• FAQ sections correlate with more citations in AI Overviews; pairing them with schema extends the correlation to Gemini, Google AI Mode, and Perplexity. Descriptive H2 phrasing (“Frequently Asked Questions About Content Hub Pricing”) paired with questions as H3s outperforms a bare “FAQ” heading.
• Statistics and data correlate with citations across the board, strongest in AI Overviews and ChatGPT.
• Outbound links, author bios, and visible “last updated” dates all correlate with higher citations, with the last-updated date a stronger predictor than the original publish date.
• Heading depth (H3s and H4s) and more headings correlate with more citations, peaking on pages with seven to fifteen H2s.

Pro tip: HubSpot AEO tracks how your brand shows up across ChatGPT, Gemini, and Perplexity, surfaces which content types are getting cited in your category, and recommends where to invest next.

TL;DR — Which combination to use, by buyer intent

As the Wix Studio research notes, “User intent is the strongest predictor of which content types get cited.” A comparison summarizes differences. A best-of list ranks options. A step-by-step guide walks the reader through a procedure. An FAQ matches a natural-language question. Check out the table below to get suggestions on how to match user intent to content format.

LLMs don’t read pages like humans do. They process tokenized chunks and weight information unevenly. Stanford research documented a U-shaped accuracy curve in which LLM performance drops when relevant information sits in the middle of long input contexts rather than at the start or end. Consistent headers, short sections, and front-loaded answers shift important content into the positions models actually use. A separate 2026 GEO-SFE preprint found that lists, tables, and similar structured formats had 43% better LLM extraction accuracy than similar prose.

Citation Signals

Schema markup (such as FAQPage, HowTo, ItemList, Article, etc.) tells crawlers what kind of page they’re on before they parse a word. Visible last-updated dates and author bios signal recency and authority. Declarative claims with named subjects and verifiable facts give models language they can lift directly. The same GEO-SFE preprint found that structural changes alone produced an average 17.3% citation lift across six generative engines, without changing the content’s actual meaning. None of these signals replaces good content, but they make good content easier to trust and easier to attribute.

Map each schema type to the page that fits: Article for editorial posts, HowTo for procedural guides, FAQPage for Q&A sections, ItemList for listicles and ranked roundups. Include author and organization schema on every page so it declares who wrote it and which brand stands behind it.

A note on schema markup: It’s debated in the AEO field. I can’t guarantee that implementing it will magically boost your AI citation rates, but I can say that it’s good hygiene. Adding schema markup is an SEO best practice, and because answer engines use search indexes (such as those from Google and Bing) to help generate answers, it may indirectly influence how AI interprets your content.

Internal Links and Topic Clusters

A single page is one citation candidate; a topic cluster creates multiple connected entry points into the same subject. Build a pillar page that defines the topic broadly, link subtopic pages back to it, and cross-link related cluster pages where they share concepts, entities, or follow-up questions. Google’s own guidance treats internal links as a signal for both users and crawlers navigating between pages on a site, and its AI optimization guide confirms that generative AI features in Search pull from the same index — and the same ranking and quality systems — that traditional results do.

In AEO terms, that means a well-linked cluster can make your site easier to crawl, easier to understand, and more likely to surface across the fan-out queries answer engines use to assemble responses. It does not guarantee citations, but it gives answer systems more relevant, connected pages to choose from.

Blog posts and informative articles lead citations in AI Overviews (42% citation rate) and Gemini (76%) per State of AEO, and account for 45.48% of citations on informational queries in Wix Studio’s analysis — more than any other format on that intent. They’re the safest cross-engine bet when the searcher wants to understand a concept rather than buy something.

Template:

• Title: “What is [X]?” or “What is [X], and why does it matter?”
• Definition lead: a 1-2 sentence direct answer to the title question in the opening paragraph, before any context, history, or framing
• Defined entities block near the top, declaring the adjacent terms the topic depends on (for “What is AEO,” that’s answer engines, citations, and share of voice)
• Original statistics or first-party data in the article
• Schema: Article

Listicles and Best-of Posts

Best for: Commercial queries (“Best [X],” “Top [N] [X],” “[X] tools”)

Listicles are the most-cited content type in Wix Studio’s cross-engine data, accounting for 21.9% of all citations and 40.86% of citations on commercial queries. In State of AEO, listicle title patterns (“Best [X],” numbered lists) work across AI Overviews, Gemini, Perplexity, ChatGPT, and SearchGPT.

Template:

• Title: “Best [X] in [Year]” or “[N] best [X] for [audience]” — number-led and Best-led titles both perform; the year qualifier correlates with citation lifts when refreshed annually
• Selection criteria stated explicitly in the intro: what made the list, what didn’t, who you wrote it for
• Each item as its own H2 or H3 with the brand name in the heading (“2. Semrush AI Visibility Toolkit”), not generic positional headings (“2. Our second pick”)
• Per-item callout showing the three or four facts buyers compare: pricing, key feature, best for
• Comparison table consolidating those facts across every item, near the top or bottom of the post
• Schema: ItemList, with each item’s name and position declared

Brand-name H2s make it clear which entity each section is about, while vague headings like “Our second pick” require LLMs to rely on surrounding text to identify the brand being discussed.

Comparison Posts (X vs. Y)

Best for: Comparative commercial queries (“[Brand A] vs. [Brand B],” “Is [X] better than [Y]?”)

Comparison content has the highest citation rate of any format in State of AEO at 95% in ChatGPT, and is the top title pattern for both ChatGPT and SearchGPT.

Template:

• Title: “[Brand A] vs. [Brand B]” or “[Brand A] vs. [Brand B]: Which is better for [use case]?”
• At-a-glance verdict in the first two sentences: who wins for what. Not buried below a 300-word intro.
• Comparison table, with the same attributes for both products in clearly labeled columns (pricing, key features, integrations, target user, ratings)
• One H2 per comparison criterion (not one H2 per product), so each section directly answers “which is better at [criterion]”
• Mini-verdict at the end of each H2 stating which product wins that criterion and why
• A final “which one should you pick” section mapping use cases to choice, not just summarizing
• Schema: Article; there’s no native comparison schema.

Product and Landing Pages

Best for: Navigational and transactional queries where the searcher already knows the brand or product (“[Brand] [product name],” “[Brand] [feature name]”)

In Perplexity, product listings and landing pages earn an 84% citation rate per State of AEO — the highest of any format on that engine. Wix Studio’s analysis places product pages at 13.7% of all AI citations across engines, with the share concentrated where the buyer is closest to a decision — 24.88% of transactional citations and 21.95% of navigational citations. These pages aren’t where readers come to learn about a category; they’re where the searcher already knows the product and wants the specs or confirmation of a feature.

Template:

• Title: Product or feature name as the primary anchor (“HubSpot AEO,” “Marketing Hub email automation”)
• One-sentence product summary in the opening paragraph (what the product is, who it’s for, what category it belongs to)
• Specs table listing key features, integrations, supported platforms, and plan availability
• FAQ section answering the questions actually typed into answer engines about a known product (“Does [product] integrate with [tool]?” “Is [feature] available on the [tier] plan?”)
• Schema: Product

Category Pages

Best for: Navigational and commercial-exploratory queries where the searcher wants to browse options in a category, not read editorial commentary on them (“[Category] tools,” “[Category] software,” “[Category] in [location]”)

Wix Studio treats category pages as a distinct content type from product pages, at 11.3% of all AI citations. The intent split is where they earn their place: 18.31% of navigational citations, 14.97% of transactional citations, and 12.42% on commercial queries. They’re even more visible in ecommerce (15.96%) and home repair (14.95%) than the cross-industry average. State of AEO doesn’t break category pages out separately from product listings and landing pages, so the segmentation here is Wix-only.

Template:

• Title: The category name itself (“Email marketing software,” “BI consultants in Boston”) — no individual product brand in the title
• One-paragraph scope statement at the top: What the category covers, who it’s for, and how the items on the page were grouped or filtered
• Item list of the products in the category, each one linked, with a one-line description naming the product’s primary use case
• Snapshot table comparing one or two attributes across every item (a starting price, a category-defining feature, or a “best for” use case)
• Schema: ItemList or CollectionPage, with each item’s name and position declared

Updating pages by hand gets tedious and tough to track. HubSpot Content Hub gives teams one CMS to update and republish content at scale, with built-in SEO recommendations that flag on-page issues as you work through the audit list. Be sure to check out our guide on how to use AI in your SEO workflow, too.

The answer-engine-specific recommendations come from HubSpot AEO, which surfaces what to fix; Content Hub is where you fix it.

Source

Pro tip: AEO Grader is a free tool that gives marketers a scored snapshot of how answer engines represent their brand today. HubSpot AEO automates prompt tracking across answer engines and benchmarks competitor share for those prompts, helping marketers improve their brand’s AI visibility.

Page-Level Performance Mapping

Visibility doesn’t always translate to revenue, so map each optimized page to its conversion role — demo signups, content downloads, trial starts — and track the engagement and conversion delta after the update. Referrer data from ChatGPT, Gemini, and Perplexity is incomplete or missing in many analytics tools, so AI-sourced sessions often land in “direct” traffic. Branded search volume and direct-traffic shifts are useful proxy signals when referrer data falls short.

Reporting Cadence

Set a monthly baseline and a quarterly deeper review. At least monthly, re-run your tracked prompts across the engines and log changes against the baseline. Quarterly, audit which pages gained or lost citation share and decide what to update next. HubSpot AEO sends you weekly score tracking and trend alerts, saving you time and helping you quickly assess results.

• Update outdated statistics in tables and comparison sections to current numbers. A good rule of thumb is that if it’s more than two years old, you need to find newer research if possible.
• Add or rewrite FAQs to better reflect the prompts customers might ask an answer engine. Marketers who use AEO in Marketing Hub Pro or Enterprise can get prompt recommendations informed by their business context in HubSpot Smart CRM.
• Update screenshots and steps in how-to content when product UI changes.
• Refresh case study results with the latest measurable outcomes.
• Verify author bios, credentials, and outbound links to demonstrate ongoing E-E-A-T.

Audience Alignment and Tooling

The prompts you track should reflect the concerns your potential buyers have. AEO in Marketing Hub Pro+ uses your Smart CRM data to inform prompt suggestions, so what you’re monitoring stays anchored to your business context (not made up from scratch). Pair that with AI content optimization tools to make changes to your content that can help boost AI citation.

No. Schema isn’t required for AI citations, but the State of AEO 2026 dataset flagged it as a structural element worth implementing, particularly schema markup paired with a properly formatted FAQ section, which lifted citation rates in Gemini, Google AI Mode, and Perplexity. Treat schema as a way to tell crawlers what each page is, not a cheat code for citations. Apply Article, HowTo, FAQPage, or ItemList only where they accurately reflect the content; marking up elements that don’t exist on the page violates Google’s structured data guidelines.

How often should I refresh AI-optimized content?

There’s no magic number for frequency of refreshing AI-optimized content, but there are some events that should trigger an update. Re-test a page’s target prompts as soon as you see a citation drop, a competitor enter the answer, or a major model release from OpenAI, Anthropic, Google, or Perplexity. Run monthly visibility re-checks across your tracked prompts, and quarterly audits of the pages that lost ground. HubSpot AEO automates the prompt-level tracking and flags trend shifts so you can act quickly.

Can I block AI crawlers while keeping search visibility?

Yes, major AI companies separate training crawlers from search crawlers, and the directives go in robots.txt. Block GPTBot to stop OpenAI from using your content for training while keeping OAI-SearchBot allowed so ChatGPT live web search citations remain possible. Block Google-Extended to opt out of Gemini training while leaving Googlebot — which is used for Google Search — able to crawl. Check each company’s bot documentation to confirm what each user-agent actually does before adding it to your robots.txt.

Which format should I start with first?

Start with the format that matches the dominant intent behind your buyers’ searches. If most of your high-value queries are informational (“What is X,” “How does X work”), articles are your best entry point; they lead citations in AI Overviews and Gemini per HubSpot’s State of AEO 2026. If they’re comparative (“X vs. Y”), prioritize comparison posts, which earn the highest citation rate in ChatGPT. If buyers come in through commercial queries (“Best X,” “Top N X”), listicles cover the broadest cross-engine range. From there, audit the pages already ranking for those intents and optimize them first. Building upon existing organic equity is the fastest path to citation wins.