Is there a perfect content length for AI search?

There is probably no ‘perfect’ word length to aim for when creating content or optimizing it for AI search! The most important thing is to make sure your content answers search intent. Do you have all the content you need to answer the user’s question and provide the information they need? The search intent will determine the length, rather than the other way around.

Is it possible for content to be too long for AI search?

So, while there isn’t a set word count you need to hit for content to get visibility and citations in AI engine, it is possible to create content that’s too long. Here’s the trap that companies fall into: They learn that AI engines want comprehensive and informative resources They interpret that as “long” resources and create content that’s filled with tons of information The content becomes bloated and isn’t actually helpful to what users want to know

How do you know if content is too short or thin?

Content that has very short, broad answers and basic explanations can be seen as too thin. Ideally, you want content to be valuable, which usually means explaining topics thoroughly in a way that the reader can understand. Plus, if your page is missing content that addresses search intent, it’s an indicator that it’s a little on the shorter side.

How do I create content that gets cited in AI engines?

1. Answering user intent Answering the user intent first (think the inverted pyramid model) will help you have a better shot at earning citations and mentions. Think about questions make sense to answer and how deep you should go when answering those questions. It’s really important to think about the subject matter and what information makes the most sense at that point in time. So, for example, a page about roofing replacement costs doesn’t have to go so in-depth to start talking about finding and vetting roofing companies. Instead, it can keep the focus on costs of roof replacements, what factors you have to consider, and other closely-related information. 2. Structuring content for crawlers Getting your content cited and mentioned in AI search results requires you to structure that content for crawlers. You can achieve this by: Organizing content with H2s, H3s, and H4s Leveraging bulleted and numbered lists Using tables to summarize information 3. Making content citeable Making content citeable can help AI engines see your content as valuable enough to cite in search responses. You can make content more citable by: Including data points that can’t be found elsewhere (especially original data) Integrating expert quotes that are original, unique thoughts Leveraging specific examples or stories When you’re specific with your content, you give AI engines a reason to cite you. You can even try out the 1:80 rule (or a modified version of it) where every 80 words, there is one fact or statistic that can help get you cited in AI engines.

Sarah Berry

Consultant principal en référencement, WebFX

Éducation

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Google Analytics, Google Ads, Publicité display Google Ads, Marketing entrant HubSpot, Marketing par e-mail HubSpot, Référencement naturel HubSpot II, Marketing de contenu HubSpot, OmniSEO®, Administrateur certifié de la plateforme Salesforce

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B2B

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Référencement naturel GEO Marketing de contenu Marketing

À propos de Sarah Berry

Sarah Berry est consultante principale en référencement naturel (SEO) au sein de l'une des plus grandes agences de référencement des États-Unis, WebFX. Forte de plus de 10 000 heures d'expérience, elle propose des conseils pratiques et des stratégies qui vous permettront d'accroître votre visibilité et votre chiffre d'affaires grâce au référencement naturel traditionnel et génératif.

Ses travaux ont été cités dans de nombreuses publications universitaires, économiques et technologiques, notamment FastCompany, Business Insider et Ars Technica. Lorsqu’elle n’est pas en train de lustrer son prix de « Personnalité de l’année » décerné par le Time Magazine, elle passe du temps avec sa colonie de canards.

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