How to Make Your Website Visible for AI Models

Being cited by an AI answer and being recommended in it are two different results. Most website owners go for the first, but not the second.

Google’s AI Overviews and ChatGPT’s search mode now sit between a website and a large part of its audience, and they don’t read the web the way the ten blue links did.

Some of what worked in 2024 does nothing today. A little of it works against the site doing it. Below is what the published evidence actually supports, and the parts that are still open questions.

Is Citation Always a Recommendation?

Lily Ray tested that pattern across 100 B2B “best [category]” queries, pulling AI Overview answers at three dates between April and June 2026. The self-promotional page was cited; its own brand was left out of the recommendation in roughly 69% of cases, with the recommendation going to established category leaders instead.

So “my page was cited” is a success metric that can hide a loss. If you track only that, you can win the metric and lose the outcome.

However, it’s not a universal truth. Our partners from Site.pro proved this idea by publishing multiple “Top Best”-type articles. They mentioned their product as one of the best white label website builders, and now when you type on “best white label website builder” in Google, Site.pro consistently pops up in the AI Overview as the best choice for hosting providers.

“Top-best”-type articles usually attract traffic anyway. The editor Vasilisa from Site.pro shared  that “7 Best Website Builders of 2026” attracted the most traffic and became the top 2 blog page for registrations and payments.

Google Recommendation Requirements

One part of this topic has a documented answer. Google’s guidance is blunt: there are no additional requirements to appear in AI Overviews or AI Mode, no special markup, and no machine-readable files to publish. A page has to be indexed, eligible to be shown with a snippet, and compliant with Search policies. That’s the whole gate.

What differs is how the answer gets built. Google describes retrieval-augmented generation, where core ranking systems pull relevant, current pages from the index and the model works from those, and query fan-out, where the model fires several related searches at once. The example in Google’s own documentation: for “how to fix a lawn that’s full of weeds,” fan-out queries might include “best herbicides for lawns,” “remove weeds without chemicals,” and “how to prevent weeds in lawn.” Your page doesn’t have to match the original phrasing. It has to be the best available answer to one of those sub-questions.

AI Overviews also don’t fire on every query. Google shows them when its systems judge that they add something beyond the classic results, which means many searches return no summary at all.

Five Effective Tips

1. Lead With Something Only You Can Say

Google’s guide to generative AI search gives this explanation: content that people find unique, compelling, and useful “will likely influence your website’s presence in generative AI search in the long run more than any of the other suggestions in this guide”. Basically, it says that “7 Tips for First-Time Homebuyers” is bad, and “Why We Waived the Inspection & Saved Money: A Look Inside the Sewer Line” is good.

This is good advice for content in general, but as we saw in examples above, it isn’t always the case. The best you can is to find balance between generic and unique content.

2. Write Pages Shaped Like Questions

In the Pew dataset, 60% of queries starting with who, what, when, or why produced an AI summary, along with 53% of searches of ten words or more. The summarized surface is question-shaped: pricing, requirements, comparisons, “how do I set up X.”

Narrow queries with few competing sources are an easier door into an AI answer.

The test is easy: pick 20 specific queries in your niche, run them every month, and log what gets cited and what gets named. After three months you’ll know whether the narrow-query theory holds for your market or not.

3. Fix the Technical SEO Aspects

Crawling allowed in robots.txt and by your CDN, important content available as text, internal links that make pages findable. Duplicate content is worth reducing. Verify the site in the Search Console so you can see problems and fix them asap.

One caution from the same guide: don’t build a page for every phrasing a customer might use. Doing that to influence rankings or AI responses runs into Google’s scaled content abuse policy, and a large number of thin pages doesn’t make a site more relevant.

4. Earn External Mentions

AI features surface what’s being said about products and services across the web, including in blogs, videos, and forum threads. Chasing those mentions artificially doesn’t help, since ranking systems favor high-quality content while separate spam systems remove the rest.

The mentions that count are the ones you can’t write yourself: third-party comparisons, review platforms, partner pages, customer case studies, a conference talk someone summarized.

5. Let the Right Crawlers In

Not every AI crawler does the same job, and blocking them all costs you the ones that send visitors. OpenAI’s documentation separates three agents:

Agent	What it does	What blocking it costs
OAI-SearchBot	Surfaces websites in ChatGPT’s search results	Your site won’t be shown in ChatGPT search answers, though it can still appear as a navigational link
GPTBot	Crawls content that may be used to train foundation models	Signals that your content shouldn’t be used for training
ChatGPT-User	Visits a page when a user asks ChatGPT something; not an automatic crawler	robots.txt may not apply to these user-triggered requests

Robots.txt changes take roughly 24 hours to reach OpenAI’s systems. Cloudflare takes a similar behavior-first approach, sorting AI traffic into search, agent, and training use cases so site owners can allow the behavior that helps them and block the one that absorbs content permanently.

Google has its own separate token, Google-Extended, which limits AI training and grounding in some other Google systems without changing how your pages appear in Search.

What You Can Skip

Google’s mythbusting section is unusually direct about tactics that circulate online and do nothing:

• Chunking content into tiny pieces. Not required. Google’s systems handle multiple topics on a page.
• Rewriting pages specifically for AI. Synonym and intent matching is already good enough that keyword variants don’t need coverage.
• Special schema.org markup. None exists for AI features. Structured data remains useful for rich results, for the ordinary reasons.
• Tools claiming access to Google’s internal metrics. None has it, per Google’s own guidance.

Start Here, in This Order

1. Run the 20-query check today and screenshot the answers, so you have a baseline before you change anything.
2. Fix eligibility first: indexed pages, snippets allowed, no crawling blocks in robots.txt or at the CDN, key content in the HTML.
3. Rewrite your three most important product and comparison pages so each one answers a specific question with detail only you have.
4. Audit your own “best of” articles. Self-promoting lists tend to help competitors, and they can become a liability in a core update.
5. Check which AI agents your robots.txt allows, and block training crawlers rather than everything that moves.
6. Add the monthly citation-and-naming check to your reporting so the work has a feedback loop.

Ranking decided who got seen. Being named decides who gets chosen.