How to make a Contentful site easier for AI search engines to read and cite

To make a Contentful site easier for AI search engines to read and cite, make sure your website serves every important page as finished HTML that a crawler can read without running JavaScript, with complete metadata and structured data, and then make sure each page states its answer plainly near the top. AI search tools such as ChatGPT search, Perplexity, and Google's AI features find pages through crawlers and search indexes, read the text, and quote the passage that answers the question best. A page they can't read never gets quoted, and a page that buries its answer rarely does.

Contentful is a headless content management system, which means it stores your content as structured entries and hands them to your website's code through an API. Your code, often a Next.js or Gatsby site, decides what HTML each page becomes. That split matters for this job, because Contentful has no setting for robots.txt, sitemaps, or the markup on your pages. Those come from your code, and the code can only use the fields your content model gives it.

The technical part of the work mostly happens once, and it lives in your site's code:

• Server-rendered text. Most AI crawlers read the HTML your server sends and don't run JavaScript. A site that builds its pages on the server, or ahead of time as static files, is fine. A site that fetches its Contentful entries in the visitor's browser shows those crawlers an empty page.
• Crawler access. Your robots.txt file tells each crawler what it may read. OpenAI and Anthropic run separate crawlers for search and for model training, such as OAI-SearchBot and GPTBot from OpenAI, and Perplexity says its crawler isn't used for model training at all, so you can allow the search crawlers even if you block training. Your hosting platform's bot protection can also turn AI crawlers away even when robots.txt invites them in.
• Sitemap. On a Contentful site, the code usually generates the sitemap from your entries. It should list every content type that produces a public page, and each page's last-modified date should come from when the entry was last updated, not from when the site was last built.
• Metadata and structured data. Your code writes each page's title, meta description, canonical URL, and JSON-LD markup from the entry's fields. Many Contentful sites keep those values in a separate SEO entry linked from each page. When a content type has no field for an author, a summary, or an updated date, the markup can't include them.
• An llms.txt file. This is a short Markdown file at the root of your site that lists your most important pages and what each one covers. It's a proposed standard, and support among answer engines varies, but it's cheap to add.

The content part never really finishes, and it lives in your entries. Answer engines quote passages that answer one question completely in a few sentences. An entry earns citations when its opening answers the question the page is named for, its headings match the questions people ask, its facts and prices are current, and its comparisons are set out in tables.

A good result is a site whose pages pass the crawl, content, and structured-data checks, whose content types carry the fields good markup needs, and whose most valuable entries answer their questions first, with a measurement afterward showing whether answer engines now cite you. Kite does that work across all three places: your code, your content model, and your entries.

Start by asking Kite, in the Kite web app or in Slack, to look at your site. You might say:

"Our marketing site runs on Contentful. Check how readable it is for AI search engines and fix what you can."

Or you can start from the questions you want to be cited for:

"Perplexity keeps citing a competitor when people ask how to choose a warehouse management system. Find out why and fix our pages so we get cited."

Kite is an AI marketer. It researches your business, builds a growth strategy, and ships the work that brings you new customers. By the time you ask, it already knows your products, customers, competitors, and the questions your buyers ask from that research, so it can decide which pages matter most without a long brief. You can work with Kite in your browser or in Slack.

The first scan needs no connection, because Kite can scan any public website. To let Kite make the changes, import your website into Kite from its GitHub repository and connect your Contentful account. You connect Contentful by signing in to it and approving Kite's access, and Kite works within the spaces and permissions that account has. When Kite sees that the imported site gets its content from Contentful, it asks you to connect and uses the space your site reads from.

Kite replies with the scan results and its plan: the code changes it will make, the content type changes it proposes, the entries it wants to rewrite, and the questions it will measure.

Kite starts by scanning your site's public domain with the 24 checks a marketing website controls, across five areas, and scores the result out of 100. Each check reports whether it passed, the points it earned, and what the scanner found:

• Crawl access. Kite checks your sitemap and its last-modified dates, whether your robots.txt rules for AI crawlers are clear and deliberate, and whether bot protection turns crawlers away.
• Content. Kite checks whether your pages show their text without JavaScript, whether they're light enough for an agent to read in full, whether redirects resolve cleanly, whether a missing page returns a helpful 404, and whether the site shows the trust pages and pricing a buyer looks for.
• Structured data. Kite checks whether your pages carry JSON-LD, whether your organization's markup is complete and linked to your other profiles, whether you use more than one or two types of markup, and whether each page has complete metadata.
• AI guidance. Kite checks whether you have an llms.txt file, whether it's formatted correctly, whether its links work, and whether it gives agents clear instructions.
• Brand presence. Kite reports whether searches for your brand name return accurate results and whether you have a Wikipedia page. These are reported but not scored, because no change to your site fixes them.

Every check that doesn't fully pass comes with a recommended fix, and Kite ranks the fixes by how many points each would recover. That ranking sets the order of the work, so a page that renders blank for crawlers gets fixed before a missing logo in your organization markup.

Kite traces each failed check to the place that causes it, because on a Contentful site the same symptom can start in the code, the content model, or an entry. It reads your site's code to see how each page fetches its entry and which fields it turns into the title, description, and markup. It reads your Contentful content types and their fields, then the entries themselves, including drafts and every locale your space uses.

That tracing changes the fix. Say your blog posts show no author in their structured data. If the blog post content type has an author field that most entries leave empty, the fix is in the entries. If it has no author field at all, the fix starts in the content model. If the field is filled in but the page never outputs it, the fix is in the code. Kite also checks which pages include a shared entry, such as a pricing block or a footer, so it knows everywhere a change to that entry will show up.

Kite measures where you stand in AI answers before it changes any content, so it knows which entries to work on first. It picks the questions your buyers ask from its research on your business, runs them through ChatGPT, Gemini, Perplexity, and Claude, and records whether your brand appears, which competitors appear, and which pages each answer cites.

Kite then reads the cited pages. When a competitor's page keeps getting quoted for a question you should own, Kite notes what that page does differently, such as answering in its first sentence, laying out prices in a table, or covering a follow-up question your page skips. It also notes when answers lean on roundups, review sites, or forums instead of any company's own pages, because that calls for different work than rewriting your entries.

Kite makes the site-wide fixes in your imported site's code, because that's where robots.txt, the sitemap, and the markup on every page are built. The changes it makes depend on what the scan found:

• Rendering. When pages show no text without JavaScript, Kite changes how those pages load their Contentful entries so the server sends the finished text. Because this touches how pages are built, Kite keeps it as a separate draft for you to review.
• Robots.txt rules. Kite writes rules for the AI crawlers you want reading your site and keeps the rules your site already relies on.
• Sitemap. Kite makes sure every content type with public pages is included and that each page's last-modified date comes from its entry's last update.
• Metadata and structured data. Kite makes each page output its title, meta description, canonical URL, and JSON-LD built from the entry's fields, such as article markup with the author and dates for blog posts and organization markup with your logo and social profiles.
• An llms.txt file. Kite writes the file from your actual site, with a one-line summary of your company and a short description of each page that matters most, and checks every link.

Your repository and your deployment stay in charge. Kite merges its changes into your default branch, and your own deployment ships them. If you protect that branch, Kite opens a pull request instead, and the change waits until your team merges it.

Kite adds fields to your content types when the markup or the page needs information that has nowhere to live. Common additions are a short summary field that holds the page's direct answer, an author reference on blog posts, a meta description on a content type that lacks one, and a list of questions and answers on landing pages. If your space has no content type for questions and answers, Kite can create one and activate it so entries can use it.

Contentful requires every change to a content type to include the complete definition, so Kite reads the current fields first and adds to them without touching what's there. Existing entries simply start with the new fields empty, and Kite fills them in during the next step. Kite proposes each content model change before making it, because your editors will see the new fields in every entry of that type.

Kite rewrites the entries behind the pages that should be answering your buyers' questions, starting with the ones closest to earning a citation. It filters your entries by content type and by field values to find the entry behind each question, and reads what each one says today in every locale.

For each entry, Kite changes what keeps the page from being quoted:

• The opening. The first paragraph, or the summary field when your content type has one, answers the question in two or three sentences, so an answer engine can lift it as a complete answer.
• The headings. In your rich text fields, section headings become the follow-up questions people actually ask, set as real headings rather than bold paragraphs, and each section answers its question in its first sentence.
• The facts. Outdated prices, product names, and figures are corrected, with a source for each figure that came from somewhere else.
• The structure. Comparisons become tables and steps become numbered lists.
• The SEO fields. Kite writes the search title and meta description in the fields your site uses for them, whether those sit on the entry or on a linked SEO entry.

When an important question has no page at all, Kite creates a new entry in the content type your site already uses for that kind of page, such as a blog post or a landing page, so it appears in your existing design. It fills in the fields that type defines, including the slug, and writes the value for each locale your space uses.

Kite shows you each entry change before it publishes, and it publishes once you approve in the Kite web app or in the Slack thread. For each entry you see the question it targets, which pages answer engines cite today, and the new copy. If your editors would rather give changes a final read inside Contentful, ask Kite to leave the entries unpublished as drafts. Kite can also leave a comment on each entry explaining what changed and why, or assign a review task to a teammate.

After it publishes, Kite reads the entry back from Contentful to confirm the new text is the published version, then opens the live page to confirm it's showing. That second check matters on sites built ahead of time, where a Contentful webhook tells your host to rebuild the site after each publish. If the new text isn't showing, Kite reads the webhook's recent deliveries and health in Contentful and tells you whether the rebuild ever started.

Kite scans your site again after the changes ship and compares the new score with the first one, check by check. If a fix didn't take, such as a robots.txt rule your host's cache is still serving in its old form, Kite tells you which check still fails and what it found.

After answer engines have had time to read the updated pages, Kite runs the same questions through ChatGPT, Gemini, Perplexity, and Claude again. It reports which questions now cite your site, which competitors you displaced, and which questions still go to someone else, along with its plan for those. You can ask Kite to repeat the measurement every month and send the results wherever you choose, such as a Slack channel or your inbox, and it records what worked in your team's knowledge base so the next round starts from what this one learned.

When Kite finishes, your Contentful site serves readable pages to AI crawlers, your content model holds the fields good markup needs, your key entries answer their questions up front, and you have a before-and-after record of where the site gets cited.