Using AI to pre-vet your social media purchases! Can AI check an account? Yes! (In most cases)

Buying social media accounts has always been risky. You have to trust screenshots, vague claims, and whatever the seller says. Most people rely on gut feeling or hope they are not getting ripped off. That used to be the norm. Now AI can actually dig for facts before you spend money.

We tested this properly. In about 80 percent of cases it worked great. The AI found old mentions of accounts on the web, previous sale listings, even hack reports. It also gave a semi accurate value range. Not perfect but close enough to spot scams or inflated pricing.

How It Works (This only works for PAID GPT!)

You need the paid version of ChatGPT for this to function. The free one cannot open links or view websites. The paid model can go online, pull real data, and summarize it in a professional way.

You simply tell it to act like a social media asset analyst. Here is the prompt we used in our tests:

Act as a professional social media asset analyst. Access the account directly and run a web search: INSERT URL HERE
Provide a detailed report including analytics and stats such as follower count, engagement rate, post frequency, content type, growth trends, and audience insights if available. Give a professional opinion on overall account health and authenticity. Check for signs of fake followers, purchased likes, engagement, or ghost users, and assess legitimacy. Estimate the resale value in USD (not monthly income), factoring in engagement, niche, activity, and handle rarity. Search if the account has ever been listed for sale on other marketplaces or forums and cite available data. Conclude with an expert verdict on authenticity, risk level, and growth potential. If public data is limited, base your report on platform behavior and industry standards.

Once you send that to the paid model it crawls the web and gives you a report that looks like it was written by a professional evaluator. It includes stats, engagement patterns, growth trends, and even resale estimates.

It can also show if the account was previously listed for sale, mentioned in a hacking forum, or part of an old scam. That kind of insight is impossible to get manually without hours of searching.

What We Learned

AI can identify red flags before you waste time negotiating. It will tell you if engagement looks natural, if the content matches the supposed audience, and if growth patterns are clean. It even compares historical analytics and estimates a current market value based on similar accounts.

We ran it on dozens of profiles. Eight out of ten times it pulled accurate or near accurate numbers. In the rest it still produced useful background info that helped confirm authenticity. For anyone who flips or buys accounts regularly this is pure gold.

What AI Can and Cannot Do

It can check public stats, find archived analytics pages, detect suspicious engagement ratios, estimate resale value, and show related mentions across the web.

It cannot access private data or guarantee that every number is up to date. Think of it as your first filter before manual verification.

Why You Should Use It

Most shady accounts look fine at first glance. Screenshots can be faked in seconds. The AI audit gives you context. It exposes inconsistencies and verifies if the account has any digital history worth noting. It helps you avoid wasting money or inheriting someone else’s problems.

You can even save the report as part of your due diligence file. It shows effort, professionalism, and protects you in disputes.

Final Thoughts

AI will not replace human verification yet, but as a pre vetting tool it is already incredible. For the cost of one ChatGPT subscription you get a digital investigator that works instantly. It is fast, it is cheap, and it will expose 80 percent of scams before you ever message a seller.

Just remember this only works on the paid version of ChatGPT. The free one cannot access links or run real checks.

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This works on virtually all social media sites, reddit too! Some of the reports GPT created were out of this world. It was able to show drop in followers (sharp), or things like “it was previously listed on X site for X USD”, or “there were many hacked comments on X page about it.”

It’s not perfect, and many times it will fail. But we’ve had a very high success rate with it.

TEST IT, AND LET US KNOW YOUR RESULTS!

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Here is an example report from Jan this year:

Comprehensive Analysis of Instagram Account: @africabillionaire

1. Analytics & Stats

Follower Count: 1.2 million followers.

Engagement Rate: 0.03%, with an average of 353 likes and 3 comments per post. (hypeauditor.com)

Post Frequency: Specific posting frequency data is not available.

Content Type: The account focuses on luxury and motivational content, showcasing the African dream.

Audience Demographics: Detailed demographic data is not publicly available.

Growth Patterns: The account has not gained new followers in the past four weeks, indicating stagnant growth. (hypeauditor.com)

2. Fake Activity Check

Signs of Fake Followers: The exceptionally low engagement rate (0.03%) suggests a high number of inactive or fake followers.

Bought Likes/Engagement Pods: No direct evidence, but the low engagement rate may indicate artificial follower inflation.

Ghost/Inactive Users: The minimal interaction per post points to a significant portion of inactive followers.

3. Estimated USD Value of the Account

In February 2024, the account was listed for sale with offers ranging from $31,000 to $40,000. (swapd.co)

4. Past Ownership or Sale History

The account was listed for sale on SWAPD in February 2024, indicating a potential change in ownership. (swapd.co)

5. Comparison to Similar Accounts

  • @billionaires9ja: 41,119 followers with a 1.52% engagement rate. (socialauditor.io)
  • @africa_and_blackculture: 101,657 followers with a 2.66% engagement rate. (socialauditor.io)

Both accounts have significantly higher engagement rates compared to @africabillionaire.

6. Monetization Potential

Sponsored Content Value: The low engagement rate diminishes the account’s appeal to potential sponsors.

Affiliate/Ad Potential: Limited due to low audience interaction.

Brand Appeal: The niche content has potential, but the current engagement metrics are unattractive to brands.

7. Final Expert Opinion

Authenticity Score: Low, due to poor engagement metrics.

Risk Factors: High, considering potential fake followers and stagnant growth.

Growth Potential: Limited without significant strategy changes.

Suggestions for Increasing Value:

  • Engagement Improvement: Focus on creating interactive content to boost engagement.
  • Audience Analysis: Conduct a thorough audit to identify and remove fake or inactive followers.
  • Content Strategy: Diversify content to attract a more engaged audience.
  • Consistent Posting: Establish a regular posting schedule to maintain audience interest.

By implementing these strategies, the account can enhance its authenticity and appeal to potential sponsors and partners.

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Better option than your failed socialauditpro idea. That was terrible, #neverforget.

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The problem with that was the fact that GPT for browsers behaved differently than via API. Maybe it changed now but back in Jan it was a horrible experience.

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I ran it for a x account and it shows resale of the handle to be very high. I am surprised by the evaluation just based on the handle.

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NEED MOAR PEOPLE TO TEST!

Nice guide, which prompt generator do you use?

This is my work, noob.

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