Know what AI says about you, and correct it at the source.
Proofsource is an AI intelligence platform that shows whether ChatGPT, Perplexity, Claude and Google AI Overviews name your brand, who they name instead, and what to fix. For brand and comms teams, that means how each engine describes you, the claims it gets wrong and the coverage it leans on.
Positive answers out of those naming Tesla, by engine
AI Overviews15/21
ChatGPT13/21
Perplexity10/14
Claude6/16AI is now your most-read spokesperson.
Buyers, journalists and candidates ask AI about you before they ask you. What it says is built from coverage you can see and, often, coverage you can change.
Hear how each engine describes you
Hear how each engine describes you
Catch the claims AI gets wrong
Catch the claims AI gets wrong
Make sure AI knows which company you are
Make sure AI knows which company you are
Find the coverage AI leans on
Find the coverage AI leans on
Hear about changes the day they happen
Hear about changes the day they happen
Every wrong claim, with the page that caused it.
An engine that repeats an old price or the wrong founding story is usually quoting a page somewhere. Find the page, correct it or ask its editor to, and fix your own pages so the right facts are easy to quote.
- Claims checked against your own facts
- The likely source behind each wrong claim
- A corrective draft you approve
- “Plans start at a price retired last year”Claude. Likely source: a 2024 review page.Wrong
- “Founded in 2019 in Austin”ChatGPT. Your About page says 2021, Denver.Wrong
- “Offers a free plan for small teams”Google AI Overviews. Matches your pricing page.Correct
A short, sourced correction for your About page and a note to the review site's editor.
Read the tone, not just the mentions.
Being named is half the story. Whether an engine calls you reliable, overpriced or hard to set up decides what the buyer does next.
- Themes per engine: price, quality, support, and more
- The exact sentence behind every reading
- Change over time, so a new criticism stands out
ChatGPT“Reliable and well supported, though pricier than newer competitors.”
Perplexity“Some users report slow onboarding, according to recent forum threads.”
The coverage that writes the answer.
AI answers lean on a small set of articles, reviews and community threads. Knowing which ones, and how they treat you, tells comms where a correction, a briefing or a new story will matter most.
- Cited pages per answer, with their stance toward you
- Out-of-date coverage still shaping answers
- New sources the engines start citing in your category
| Cited page | Stance | Answers |
|---|---|---|
| A trade magazine roundup | Favorable | 11 |
| A forum thread on onboarding | Critical | 7 |
| A 2024 review with old pricing | Out of date | 5 |
| Your press page | Neutral | 2 |
Even a famous brand gets read more than one way.
Tesla is one of the best-known names there is. Here is what four engines said when Proofsource asked them 5 questions about Tesla by name on October 4, 2026.
brand answers opened with something other than the company: Google AI Overviews began “What is Tesla?” with the magnetic unit.
Tesla, public AI answers, 4 engines, 5 brand questions each, read in fullof Claude's brand answers cited no source at all. It answered from what the model already knew.
Same scananswers naming Tesla read as negative, both on brand questions, including “Is Tesla legit?” on Perplexity.
Same scan, every answer that named TeslaFrom monitoring mentions to correcting answers.
What AI says, word for word
Every answer about you, saved with its date, its engine and its sources.
Wrong claims, traced
Each mistake tied to the page behind it, with a drafted correction.
Coverage that counts
The articles and reviews that shape the most answers, so outreach goes where it moves them.
Questions brand and comms teams ask
How is this different from media monitoring?
Media monitoring tells you what was published. Proofsource tells you what AI engines say when someone asks about you, and which of those publications they used to say it.
Can you make an engine stop saying something wrong?
No one can edit an engine's answer directly. What works is correcting the sources it quotes and making your own pages state the facts plainly. Proofsource shows which sources to fix and checks whether the answer changed.
Our name is similar to another company's. Can you help?
Yes. Branded questions show which engines confuse you with whom. The fixes are usually clear profile pages, consistent descriptions on the sites engines trust, and a plain statement of who you are not.
Which AI engines do you check?
ChatGPT, Perplexity, Claude and Google AI Overviews on the trial. We track 10 AI engines. At checkout a plan picks from ChatGPT, Perplexity, Google AI Overview and Claude, and pays for each question on each engine it picks; at least one is always on. Google AI Mode, Gemini, Microsoft Copilot, Grok, DeepSeek and Meta AI are enabled on a call (Book a demo) or on Managed.
What does the free trial include?
2 days of full AI visibility, today and tomorrow. Each scan asks 25 buyer questions on ChatGPT, Perplexity, Claude and Google AI Overviews, with no card and no sales call. After the second scan, scanning pauses and every answer stays in your workspace.
What does it cost after the trial?
One price card for everyone: each brand pays a fee for daily ($28 a brand a month) or weekly ($7), plus each question on each engine you pick, from $9 a month (5 questions on ChatGPT, weekly). Unlimited team members on every plan.
Hear what AI says about you.
See whether AI names your brand, who it names instead, and what to fix.
Google AI OverviewsGoogle AI Mode
