What Is the AI Trust Score? Measuring Which Domains ChatGPT Actually Cites

The AI Trust Score (ATS) is a 0 to 100 metric built by EasilyGeo that measures how often ChatGPT cites a given domain as a trusted source. We developed it after analysing 50,000 ChatGPT citations over 90 days. It fills the measurement gap that traditional SEO metrics like Moz Domain Authority leave open: predicting visibility inside AI-generated answers, not on a Google results page.

This post walks through why the metric exists, how we compute it, and what the top of the list looks like on ChatGPT right now.

Why is AI search different from regular Google search?

AI search changes who does the exploring. On Google, you pick which of ten blue links to trust. On ChatGPT, the model retrieves, reads, and cites sources on your behalf, then hands you a synthesized answer. A much smaller set of domains gets surfaced to the reader, which is why AI visibility behaves nothing like Google rankings.

The behavioural shift is the reason this metric exists. For most B2B queries today, a user reading a ChatGPT answer never sees the full source list. They see a paragraph with two or three citations at the bottom. Whether your brand is one of those citations is now a separate SEO discipline.

A 2025 analysis published by Search Engine Land found that the overlap between Google's top results and AI-cited sources has dropped below 20 percent. The old exploration (human clicks ten links) and the new exploration (model picks a handful) draw from different pools.

Why doesn't Domain Authority predict ChatGPT citations?

Domain Authority was built to predict how a page performs in Google's ranking algorithm, not how a language model weighs it during retrieval. A Moz DA of 70 tells you the page can rank in human-facing search. It tells you nothing about whether ChatGPT will pick that page when synthesizing an answer.

A 2026 ALM Corp study analysing 30 million AI citations found that only 11 percent of domains are cited by both ChatGPT and Perplexity. High-traffic sites earn roughly 3x more AI citations than low-traffic ones, but traffic alone misses the retrieval-to-citation gap we cover below.

In practice, I have watched prospects with Ahrefs Domain Ratings above 60 get zero ChatGPT citations in their category, while competitors in the 30 to 40 DR range dominated the AI answer. The two systems score different things.

What is the AI Trust Score (ATS)?

The AI Trust Score (ATS) is a 0 to 100 metric developed by EasilyGeo that measures how often ChatGPT cites a given domain. It blends two signals from real ChatGPT responses: how often the domain shows up in the model's retrieved search results, and how often it appears as an inline citation in the final answer. Scores refresh weekly.

The bands shown to users:

• 70 to 100, High: ChatGPT strongly prefers this source.
• 30 to 69, Moderate: Regularly cited.
• 0 to 29, Low: Rarely cited.

Wikipedia, Reddit, and Arxiv are currently the only three domains above the 30-point threshold for ChatGPT in our dataset. The rest of the cited ecosystem scores under 20.

How is the AI Trust Score calculated?

ATS combines two normalized signals and averages them. We count how often each domain appears in ChatGPT's retrieved search results and how often it appears as an inline citation in the final answer. Each count is normalized against the weekly maximum, averaged 50-50, and scaled to 100. Scores refresh every week.

The formula:

composite = 0.5 × normalized_search_score + 0.5 × normalized_citation_score
ATS = composite × 100

Three design choices matter.

It is relative, not absolute. A domain scoring 80 is not showing up in 80 percent of AI answers. It is scoring 80 on a weekly scale where the top-cited domain is 100. This is the same normalization approach Moz used when building DA.

It is per-model. A domain's ATS is not one number. EasilyGeo tracks ChatGPT, Gemini, and Claude today. ChatGPT scoring is live now. Gemini and Claude ATS go public in the next few days. Wikipedia might score 95 on ChatGPT and 60 on Gemini because each model has a different training corpus.

It is in beta. The methodology will evolve. The search-vs-citation weighting may change as we see more data. We launched it with the seams visible on purpose.

Which domains does ChatGPT cite most often?

Wikipedia leads the ChatGPT ATS leaderboard with a score of 92.0, followed by Reddit at 53.2 and Arxiv at 33.6. Our April 19, 2026 snapshot of 50,000+ citations shows a steep drop-off after the top three. Ranks 4 through 10 all score below 20, meaning most domains are long-tail contributors, not anchors.

Top 10 for ChatGPT, week ending 19 April 2026:

Three patterns jump out.

Wikipedia sits in a class by itself. Its ATS of 92 is nearly double the number two domain. Having a Wikipedia page and a clean entity graph is still the highest-leverage AI visibility move for B2B brands.

The tech press cluster (TechRadar, ITPro, Tom's Guide, Axios) is the long tail of "trusted enough to quote, not big enough to dominate." A well-placed TechRadar review moves the ATS needle more than ten guest posts on zero-signal blogs.

Indian-market sources (Times of India, Justdial) appear because EasilyGeo's client mix is India-heavy. Global citation studies often erase this by deduplicating to a US-centric view. If you sell into India, a Justdial listing is closer to an AI visibility asset than most founders assume.

Why does Reddit get retrieved but rarely cited by ChatGPT?

Reddit appears in ChatGPT's retrieved search results 15,890 times in our dataset but only shows up as an inline citation 230 times. That is a retrieval-to-citation ratio of 69 to 1. ChatGPT reads Reddit heavily to calibrate sentiment, but rarely surfaces the Reddit link in the final answer to the user.

Wikipedia's ratio is under 4 to 1. Read often, cited often. TechRadar's ratio is 3.5 to 1. ChatGPT treats editorial tech press as "point-to-able" and Reddit as "read-but-not-point-to-able".

This is the distinction most "most-cited domains" reports erase. Ahrefs, Semrush, and Profound all publish citation counts, but none separate retrieval from inline citation. A domain can dominate the reading list and be invisible on the reference list. For brand visibility, only the reference list matters.

How can I improve my AI Trust Score?

The fastest path to a higher ATS is getting cited by domains that already have a high ATS, not publishing more of your own content. Aim for mentions inside TechRadar reviews, Axios roundups, and Wikipedia entries. Build a clean entity footprint across LinkedIn, GitHub, and structured data on your site. Treat Reddit as a sentiment asset, not a citation strategy.

A more detailed playbook:

1. Target the corridor, not the whole web. A single placement on a domain scoring above 15 moves your visibility more than 20 placements on zero-signal blogs. High-authority mentions carry 3 to 6x the retrieval weight of low-authority ones.
2. Build a verifiable entity. ChatGPT favours domains that resolve to a real organisation. A maintained Wikipedia page, a LinkedIn company page, a GitHub org, and structured data on your own site all raise the probability of retrieval.
3. Publish original data. The GEO research paper (KDD '24) found that adding original statistics improved AI visibility by 41 percent over baseline, the single highest-performing optimization tested. Proprietary benchmarks and surveys are especially effective.
4. Refresh quarterly. AI citations drop sharply after three months of content staleness. Any page you care about needs a quarterly refresh at minimum.
5. Stop chasing Domain Authority as a proxy for AI visibility. DA is a Google metric. Use it for Google. For AI visibility, use a citation-based signal like ATS.

How can I check my domain's AI Trust Score for free?

You can check any domain's current ChatGPT ATS for free on the EasilyGeo ATS calculator. The tool returns your score, the search-vs-citation split, and a read on how you stack up against anchor domains like Wikipedia and TechRadar. No signup, no card, no trial commitment required to see your score.

The calculator lives at easilygeo.com/ats-score-calculator. Type in your domain, wait a few seconds, read the result.

For weekly history, competitor tracking, and the full improvement plan, a 4-day free trial is available on easilygeo.com. Point it at your domain, your closest competitor, or any reference site that matters to you. No card needed.

If you would rather walk through your ATS with me directly, book a slot at cal.com/naman-arora-forecloseai/easilygeo-onboarding.

And if you think the methodology is wrong, tell me. It is in beta for a reason.

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