Open Creator Graphby SparkonomyAbout the study
“Tell me about this Creator.”

What does AI
say about you?

A brand asks about your work.
Does AI get your details right?

We checked 10,000 Creators.

If AI gets you wrong, a brand might too.

Here’s what we found ↓

A study by Sparkonomy

AMISS

AI Misrepresentation Study

10,000Creators50,000questions5AI models

Across six follower tiers, from 1,000 to 5M+ followers.

01 / Does AI know you?

67%

× No correct description from any of five AIs

For these Creators, not one of five AIs got the description right.

AI doesn’t know you too well.

Wrong details can give a brand the wrong impression.

Just 1 in 10,000
was described accurately by all five.

About this finding

For 67.2% of the Creators we tested, not one of the five AIs got the description right. The answers either included wrong information or gave no details we could check.

We checked the AI answers against information saved from each Creator’s social accounts. AI could know who a Creator was and still get the details wrong. This finding is about correct descriptions, not whether AI had heard of someone.

02 / Does AI know your follower count?

99.7%

of Creators had at least one wrong follower count from AI. Even with a 20% error margin.

Illustration: the real count stays at 100,000 while AI estimates vary outside the accepted 80,000 to 120,000 range.

AI gets your follower count wrong.

A wrong count can change how big a brand thinks you are.

About this finding

For 99.7% of Creators, at least one of the five AIs gave a wrong follower count. That does not mean every AI got the count wrong.

We gave AI a generous 20% margin in either direction. If your account had 100,000 followers, we accepted any count from 80,000 to 120,000. A count outside that range was marked wrong. We checked Instagram follower counts and YouTube subscriber counts.

03 / What do all the AIs say about you?

94out of 100

Creators got conflicting details from different AIs.

FollowersCityContentPlatforms

Different AIs give different answers about you.

Which answer would a brand trust?

About this finding

For 93.56% of Creators, different AIs gave details that did not match. We compared follower counts, city, type of content and social platform presence. A conflict on any one of these was enough to count.

This means about 94 out of 100 Creators got conflicting details, not that 94% of all answers were wrong. And agreement alone was no guarantee: different AIs could give the same wrong information.

04 / Does AI know big Creators better?

37 out of 100 Creators with 5M+ followers didn’t get a correct description from any of the AIs.

Five AIs. Not one correct description for this group.

Millions follow you. But AI still got you wrong.

Millions of followers don’t guarantee AI gets you right.

About this finding

Even among Creators with 5M+ followers, 36.75% got no correct description from any of the five AIs. We tested 400 Creators in this group.

The answers either included wrong information or no details we could check. Larger Creators did better than smaller Creators at getting at least one correct description. But millions of followers still did not guarantee AI got the details right.

05 / Does your social platform help AI?

YouTube Creators were

2.3×
YouTube Creators46%
Instagram Creators20%

more likely than Instagram Creators to get a correct description from AI.

On YouTube? AI is more likely to get you right.

You need to be visible outside your platform for brands.

About this finding

At least one of the five AIs got the description right for 45.6% of YouTube Creators, compared with 20% of Instagram Creators. That makes a correct description about 2.3 times as likely for the YouTube group.

We tested 5,000 profiles from each platform, with the same mix of follower sizes. The gap is about getting the details right, not simply recognising a Creator.

06 / Does web search help AI?

Web search on

Only 36% of Creators got correct descriptions from all three AIs. Even with web search.

AI can search for you. And still get you wrong.

We tested the same 1,000 Creators with and without web search.

A brand could search for you and still get the wrong picture.

About this test and its cost

Even with web search, only 36.2% of Creators got correct descriptions from all three AIs. We tested the same 1,000 Creators with web search turned on and off. The 36% headline counts Creators who got three correct descriptions, not the share of individual answers that were right.

Search did help more Creators get at least one correct description: 24.1% without search, compared with 89% with search. But one correct description is not the same as getting it right across all three AIs.

Search also cost more. Average queries with web search cost about 9–32 times as much in this study, depending on the AI. This compares average costs from the main 10,000-Creator test and the 1,000-Creator search test, not the price of every query. For businesses using AI through APIs, web search adds a cost to weigh.

What should you do next?

Help AI know you better.

A brand could be asking AI about you. Don’t wait for a wrong answer to speak for you.

Create or claim your Open Creator Graph record. Bring your name, your work and your accounts together in a format AI can read.

This is your chance to tell AI who you are.

Free for you, the people reading about you and the AI systems reading your record.

Make your Creator record.Publish it for AI to read. Free Make your record now

These figures describe the 10,000 profiles we tested, not all Creators. We deliberately included extra Creators with large followings so we could study those groups in more detail. Each profile counts equally in these results.

“No accurate description” includes wrong answers and answers with no details to check.

Read or cite the findings →

About AMISS and the numbers

AMISS means AI Misrepresentation Study. Sparkonomy tested 10,000 social media Creator profiles on Instagram and YouTube, across six follower tiers ranging from 1,000 to five million-plus followers.

Follower ranges:

  • 1,000 to under 10,000
  • 10,000 to under 100,000
  • 100,000 to under 500,000
  • 500,000 to under 1 million
  • 1 million to under 5 million
  • 5 million or more

For YouTube, these ranges refer to subscribers.

  • Main test: We sent 50,000 queries to OpenAI, Gemini, Grok, Muse and Qwen, using their existing knowledge. Each query included the Creator’s handle and platform.
  • Models used: OpenAI (gpt-5.6-luna), Gemini (gemini-3.5-flash), Muse (muse-spark-1.3-contributor), Grok (grok-4.20-0309-non-reasoning) and Qwen (qwen-max).
  • Web-search comparison: We tested the same group of 1,000 Creators with OpenAI, Gemini and Grok, with and without web search.
  • Dates: AI queries were sent on Sep 17, 2026. Answers were checked against information from Creators’ social accounts recorded on 15–16 September 2026.
  • Sample: These results describe the profiles tested, not all Creators. We deliberately included extra Creators with large followings. Each profile counts equally in these figures.
  • Accuracy: We checked AI’s answers against information saved directly from Creators’ social platforms. Follower or subscriber counts could be up to 20% above or below the recorded count. Recognising the Creator alone did not make the answer accurate.
  • Limits: the study does not measure lost income, verify brand partnerships, establish a wrong-person rate, or prove that Open Creator Graph improves AI answers.
About Sparkonomy

Sparkonomy, founded by former Google and YouTube leaders, is building AI to help Creators build successful businesses. Open Creator Graph is how we’re starting to spark the Creator economy.

Meet Sparkonomy →