How to get cited by AI answer engines: a checklist you can verify

1. Let the right crawlers in

AI products use different automated agents for different purposes: gathering training data, building a search index, or fetching a page because a user asked about it. Blocking the wrong ones can remove you from AI answers; allowing all of them is a business decision about training use. These are the names most site owners meet, as documented by their vendors at the time of writing:

A permissive robots.txt that names the agents you welcome keeps your intentions explicit:

User-agent: *
Allow: /

User-agent: OAI-SearchBot
Allow: /

User-agent: PerplexityBot
Allow: /

User-agent: Claude-SearchBot
Allow: /

Sitemap: https://example.com/sitemap.xml

How to verify: open yourdomain.com/robots.txt and confirm there is no blanket Disallow: /. Then test as an automated visitor: curl -I -A "OAI-SearchBot" https://yourdomain.com/ should return a 200 status, not a 403 or a challenge page. Firewalls and CDN bot-protection rules are the most common hidden blockers.

2. Put the content in the HTML

Many crawlers do not run JavaScript, or run it inconsistently. If your homepage text, headings or links only appear after a script executes, those crawlers may see an empty page. A particularly easy mistake is a homepage whose only job is a JavaScript redirect to a language version: a visitor's browser follows it, but a crawler sees nothing.

How to verify: run curl -s https://yourdomain.com/ | grep -i "<h1". If your main heading and a sensible amount of readable text come back, you are fine. If you get an almost empty document, server-render or pre-render the page.

3. Publish answer-first pages for real buyer questions

Collect the questions prospects actually ask on sales calls, in support tickets and in emails. For each, create or improve a page where the question is a heading and the first two or three sentences beneath it answer it directly, before any context or sales language. Then add detail: a short list, a table, a definition, an example.

How to verify: read only the first paragraph under each heading. If a stranger could quote it as a complete answer, it passes. If it starts with "In today's fast-moving world", it does not.

4. Add structured data that matches the page

Structured data is markup that states facts about a page in a machine-readable way, most often as JSON-LD in a script tag. Types worth having on most B2B sites: Organization and WebSite (site-wide), Article on guides, FAQPage where the page really contains those questions and answers, Service or Product with an Offer for pricing pages, BreadcrumbList for navigation, and Person for named authors. The rule is simple: only mark up what is visibly on the page.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Example Co",
  "url": "https://example.com",
  "description": "One clear sentence about what the company does.",
  "email": "contact@example.com"
}
</script>

A note on expectations: Google narrowed the search results that show FAQ-style rich snippets in 2023. That concerns how Google displays results in its classic listings, not whether the markup helps machines understand the page, and it does not change the value of writing genuine Q&A content.

How to verify: paste the page URL into the schema.org validator or Google's Rich Results Test and confirm the types are detected without errors. Then compare the markup to the visible page; every marked-up statement should be there in plain text.

5. Write FAQs the way people ask them

• Use questions taken from real conversations, in the buyer's own wording.
• One question per heading; a self-contained answer of a few sentences that does not depend on the paragraph before it.
• Include the honest "no" answers ("Do you guarantee X?"). Candid answers are more believable and more quotable.
• Keep the visible text and any FAQPage markup identical.

How to verify: copy any answer on its own into a blank document. If it still makes sense and is accurate without its surrounding page, it is extractable.

6. Keep your entity facts identical everywhere

Decide the exact wording of your company name, one-sentence description, product and service names, pricing model and contact details, then use them consistently on your site and on every profile you control (LinkedIn, directories, partner pages, review sites). Conflicts force a system to guess, and guesses show up as errors in answers.

How to verify: search your company name in two or three AI assistants and in a normal search engine. Note anything wrong or outdated, find where that information comes from, and correct the source.

7. Consider publishing an llms.txt file

llms.txt is a proposal for a plain Markdown file at the root of your site that gives language models a concise, curated index of your most useful pages. It is cheap to create. It is also not an established standard, and you should not assume any particular AI provider reads it. Google's documentation for its own AI features says no such files are needed. Treat it as a low-cost, low-risk extra, not a substitute for the items above. Check llmstxt.org for the current state of the proposal.

How to verify: yourdomain.com/llms.txt returns 200 with readable Markdown, and every link in it resolves. This site publishes one at /llms.txt if you want an example.

8. Publish an accurate sitemap

A sitemap lists the pages you want indexed, with accurate last-modified dates. Reference it from robots.txt and submit it in Google Search Console and Bing Webmaster Tools. Because Bing's index commonly feeds Microsoft's assistants, Bing Webmaster Tools is easy to overlook and worth setting up.

How to verify: yourdomain.com/sitemap.xml loads, lists every important page, and is reported as processed without errors in the webmaster tools.

9. Earn independent corroboration

This is the slowest and most valuable item. Systems that cross-check information tend to be more comfortable repeating facts confirmed by several independent sources. Legitimate ways to earn that include being listed accurately in relevant industry directories, contributing genuinely useful material to trade publications, partner and integration pages that describe you, customer case studies published with permission, original data or research that other people cite, and reviews from real customers.

How to verify: list the independent pages that describe your company. Do they agree with each other and with your site? Which important places are missing?

10. Measure with a fixed prompt set

Write 20 to 50 questions your buyers would really ask, including comparison questions and "best option for" questions. Run them across the assistants you care about on a regular schedule, and log the results. Because answers vary from run to run, repeat each question several times before drawing conclusions.

How to verify: the same prompt set, run monthly, gives you a trend line instead of anecdotes. Improvement means more accurate mentions over time, not one lucky answer.

What to skip

• Hidden text or instructions aimed at AI crawlers.
• Hundreds of near-duplicate pages generated to match every phrasing.
• Any promise of a guaranteed ranking or citation, from anyone.
• Optimizing for a single engine and ignoring the fundamentals.

If you would like these checks run against your own pages, with each finding labelled as observed, inferred or not checked, that is exactly what the Venoh diagnostic does. See pricing or read the background in What is GEO?.