> ## Content Index > Fetch the complete content index at: https://www.ceo.com/llms.txt > Use this file to discover other available public pages before exploring further. # Plot's Megan Duong is betting on real people - URL: https://www.ceo.com/episodes/plots-megan-duong-is-betting-on-real-people/ - Published: 2026-09-29T20:15:36.000Z - Updated: 2026-09-29T22:30:15.000Z - Description: A social media marketer turned her agency's hardest problem into a video intelligence company backed by Alexis Ohanian. - Author: Clint Betts - Tags: AI A couple of Plot's customers have watched a smear campaign spread across TikTok and Instagram. Smaller brands were producing AI-generated videos in which fake reviewers claimed a rival's moisturizer was carcinogenic. At the end of each clip, the reviewer pitched the smaller brand's own product. Megan Duong, Plot's co-founder and CEO, said there were thousands of these videos. Most never tagged the brand they were attacking. "If one out of the thousand videos of AI UGC is hitting several millions of views and it's spreading misinformation about these carcinogenic products, it's actually really dangerous," she told the CEO.com Podcast. Plot found them anyway. Its software analyzes the video itself, including what people say and what they hold up, so a brand doesn't need to be tagged to be seen. Duong explained the gap using the show's host as her example. If she posted that Clint Betts was the best person and that she loved CEO.com, but left out the tag and the hashtag, "you would have no visibility in that data," she said. Gifting is the plainest example. Beauty brands send creators free products by the box, hoping for posts. A gift carries no obligation to post, and creators who do post often skip the tag. Duong described where that leaves a brand: "I just spent a couple million on this gifting program for a product that I just released. I don't know if they're using it. I don't even know if they opened it because they didn't tag me." Plot can see a creator open the box and use the concealer on camera. Benefit Cosmetics is one of its biggest customers. In [Plot's June funding announcement](https://plot.so/blogs/plot-announces-10-million-in-new-funding-to-accelerate-social-video-intelligence-for-marketing-teams?ref=ceo.com), Toto Haba, Benefit's senior vice president of global marketing and communications, reported a 30 to 50 percent lift in user-generated content that features the brand's products without tagging it. The same analysis turns up fans nobody paid. Duong's example was a creator who has used a brand's blush in 10 videos. "You might want to partner with her because she is an organic super fan," she said. She said none of this was possible three or four years ago. A person can hold up McDonald's, eat a nugget, say they love it, and move on without writing a word. Plot pairs language models that read transcripts with computer vision that identifies objects, then has the models describe what is happening. "Megan is holding a Lululemon water bottle and drinking it" is the kind of sentence the system produces. She credits her co-founder and CTO, Ethan Phan, with turning those descriptions into structured data. "I call him our magician," she said. Duong came to this as a marketer. She calls herself a first-generation social media marketer, trained when Facebook, Twitter and Instagram ran on text. She did social media at Gap and later went to Apple. [Forbes named her to its 2020 30 Under 30 list](https://www.forbes.com/profile/megan-duong/?ref=ceo.com) as global head of brand at Claris, the Apple-owned software company, noting that she had led the rebrand of FileMaker back to its original name. She left in 2020 to start a social media agency. She was working hard, she thought she was good at it, and she had no kids. "It's the best time to take a risk," she said. Then the pandemic hit, and TikTok took over. The text-based craft she had spent years learning turned into video almost overnight. "All of a sudden I'm like, why am I creating content with my face for these brands?" Clients wanted insight from those videos, and no tool could produce it at scale. Every new analysis meant another hire. "I will always break even if I don't figure out how to do this," she said. She hadn't planned to start a tech company. The agency's math pushed her into one. Duong is the [daughter of Vietnamese refugees](https://www.forbes.com/profile/megan-duong/?ref=ceo.com). Her parents and aunts came to America with almost nothing. They had no English, money, or network, and they built businesses from scratch. "[You can always build something from nothing](https://musebyclios.com/2-minutes-with/plots-megan-duong-says-tags-dont-tell-the-whole-story/?ref=ceo.com)," she told Muse by Clios. She started Plot with no network of startup founders or investors and no technical background. What she had was a habit of telling people exactly what she wanted. First, she wanted a CTO. She pitched the idea to a man with a technical background, hoping he would take the job. "He's like, 'I will not be your CTO. This is not something I want to be, but I will be your first angel investor,'" she said. He put in nearly $300,000. She kept going back to him with progress, first a prototype and then a CTO. She found Phan, who had led product engineering at Formation Bio, [through a Y Combinator co-founder matching program](https://www.alleywatch.com/2026/06/plot-social-video-listening-intelligence-ai-platform-megan-duong/?ref=ceo.com). Along the way, she found out she was good at sales. For the next round, she wanted one investor in particular. "I knew I wanted Alexis to be my investor," she said, meaning Reddit co-founder Alexis Ohanian. Someone she met during New York Tech Week offered an introduction, and two weeks after meeting Ohanian, she closed the round. Nasty Gal founder Sophia Amoruso invested too. Amoruso [later wrote](https://sophiaamoruso.substack.com/p/my-interview-with-a-linkedin-dm-hoe) that Duong raised a $3 million seed round from the two of them. Ohanian had built a company himself, and he told her product-market fit is hard to understand until you feel it. "There's the slow-moving thing, and then there's all of a sudden everyone's using your product," she said. For a while she felt like an impostor next to technical founders. She came to see go-to-market as her advantage. "There are so many incredible founders that are technically capable, but they don't know about go-to-market," she said. Plot went straight to enterprise and signed L'Oréal, Pepsi, Visa, and LVMH, she said, "with zero marketing dollars." In June, it announced $10 million in new funding co-led by XYZ Venture Capital and Mischief Ventures, [bringing its total to $14 million](https://plot.so/blogs/plot-announces-10-million-in-new-funding-to-accelerate-social-video-intelligence-for-marketing-teams?ref=ceo.com). Plot processes several million videos a day through AI models, a mix of frontier and open source. Duong wouldn't say which. The bills are the reason nobody can sign up for Plot on their own. "We're purely sales," she said. "If this was straight PLG self-serve, anyone can use the data; we will be screwed in terms of usage." She uses AI constantly in her own work and says it makes her 10 times more efficient. She thinks it has opened building to people without technical training, people like her. She doesn't think it replaces judgment. "I met so many people who are over-reliant on AI, but I can clock them in two seconds when they can't actually think about craft," she said. The use she rejects is fake people selling real products. "I don't want to buy a skincare product from someone who's not real," she said. She was glad to see New York move on disclosure. In December 2025, Gov. Kathy Hochul [signed a law](https://www.governor.ny.gov/news/governor-hochul-signs-legislation-protect-consumers-and-boost-ai-transparency-film-industry?ref=ceo.com) requiring anyone who produces or creates an advertisement to disclose when it uses AI-generated synthetic performers. She expects people to answer the polish with deliberate mess: raw footage, bad grammar, typos left in. She has already seen the polish at home. "Somehow the world now has perfect grammar, including my mom, who's an immigrant," she said. She admitted she has considered the countermove herself. "I'm going to do typos because I want them to know that I didn't use ChatGPT, even though I kind of slightly did." When she spoke with the CEO.com Podcast, Plot was two weeks from a product launch, and Duong was still selling and handling customer success herself. "Yesterday I was doing sales. Today I'm doing marketing. Tomorrow I'll probably do product," she said. On September 15, Plot [announced Creator Intelligence](https://plot.so/blogs/plot-launches-creator-intelligence-to-transform-how-brands-source-creators-by-analyzing-their-video-content?ref=ceo.com), which lets brands search for creators in plain language. An AI agent then vets each one against their past content, what others have posted about them, and information from across the web. Every guest on the show is asked who gave them a chance. Duong named Eric John, the angel investor who wrote Plot's first check. "I took that so seriously because I was like, 'Oh my god, someone took a bet on me,'" she said. She doesn't think the company would have gotten started without it. ```chapters 00:00:00 Introduction to Plot and Video Intelligence 00:01:50 Megan's Career Path and Agency Roots 00:04:42 The Journey of Fundraising for Plot 00:07:51 Lessons Learned From Alexis Ohanian 00:10:08 The Multimodal AI Technology Behind Plot 00:13:17 How Brands Leverage Video Data Insights 00:17:03 AI and the Future of Video 00:23:26 The Rise of AI Generated Video 00:29:38 The Importance of Authenticity in Social 00:32:39 Leadership Lessons and the CEO Role 00:38:14 The Power of Giving First Chances ``` ```vtt WEBVTT 00:00:05.600 --> 00:00:08.240 Megan,<00:00:06.160> thank<00:00:06.400> you<00:00:06.560> so<00:00:06.799> much<00:00:06.960> for<00:00:07.200> coming<00:00:07.440> on<00:00:07.680> the<00:00:07.839> show. 00:00:08.240 --> 00:00:14.400 I've<00:00:08.480> been<00:00:08.639> reviewing<00:00:09.120> Plot,<00:00:10.000> uh,<00:00:10.719> today<00:00:11.120> and<00:00:11.360> I'm<00:00:11.920> 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company." 00:03:16.720 --> 00:03:21.040 So<00:03:16.879> I<00:03:17.120> started,<00:03:18.080> um,<00:03:18.400> a<00:03:18.720> social<00:03:18.959> media<00:03:19.200> agency<00:03:19.599> in<00:03:19.920> 2020. 00:03:21.040 --> 00:03:28.720 And<00:03:21.280> so<00:03:21.440> what<00:03:21.680> happened<00:03:21.840> in<00:03:22.080> 2020<00:03:22.640> obviously<00:03:22.879> was<00:03:23.120> the<00:03:23.280> pandemic,<00:03:24.080> but<00:03:24.319> what<00:03:24.560> actually<00:03:24.959> happened<00:03:25.280> from<00:03:25.760> a<00:03:26.159> social<00:03:26.480> media<00:03:26.879> perspective<00:03:27.599> is<00:03:27.760> that<00:03:28.080> everything<00:03:28.319> I<00:03:28.560> knew 00:03:28.720 --> 00:03:34.080 about<00:03:29.040> text-based<00:03:29.360> content<00:03:29.680> became<00:03:30.000> video-based.<00:03:30.320> TikTok<00:03:30.640> became<00:03:30.960> this<00:03:31.280> new<00:03:31.600> form<00:03:31.920> that<00:03:32.240> was<00:03:32.560> 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sustainably<00:38:49.520> like<00:38:49.760> early<00:38:50.000> on<00:38:50.160> in<00:38:50.320> the<00:38:50.480> business. 00:38:50.960 --> 00:38:55.280 And<00:38:51.119> I<00:38:51.280> took<00:38:51.520> that<00:38:51.760> so<00:38:52.160> seriously<00:38:52.560> because<00:38:52.720> I<00:38:52.880> was<00:38:52.960> like,<00:38:53.040> "Oh<00:38:53.280> my<00:38:53.440> god,<00:38:53.680> someone<00:38:53.920> took<00:38:54.079> a<00:38:54.240> bet<00:38:54.400> on<00:38:54.640> me." 00:38:55.280 --> 00:39:02.880 And<00:38:55.440> I<00:38:55.599> took<00:38:55.839> it<00:38:56.000> so<00:38:56.320> seriously<00:38:57.680> uh<00:38:57.839> for<00:38:58.079> this<00:38:58.240> opportunity<00:38:58.960> and<00:38:59.200> I<00:38:59.359> just<00:38:59.520> don't<00:38:59.839> I<00:39:00.160> just<00:39:00.320> don't<00:39:00.560> think<00:39:00.640> we<00:39:00.880> would<00:39:01.040> be<00:39:01.200> there<00:39:01.359> if<00:39:01.520> it<00:39:01.680> wasn't<00:39:01.920> for<00:39:02.079> that<00:39:02.240> first<00:39:02.480> check. 00:39:02.880 --> 00:39:05.119 So<00:39:03.280> Megan,<00:39:03.760> thank<00:39:03.839> you<00:39:03.920> so<00:39:04.079> much<00:39:04.160> for<00:39:04.320> coming<00:39:04.480> on<00:39:04.720> the<00:39:04.880> show. 00:39:05.119 --> 00:39:07.920 People<00:39:05.440> can<00:39:05.680> find<00:39:05.920> plot<00:39:06.320> where?<00:39:06.720> What's<00:39:06.960> What's<00:39:07.200> the<00:39:07.359> domain? 00:39:07.920 --> 00:39:11.040 On<00:39:08.400> online<00:39:08.960> where<00:39:09.200> we<00:39:09.680> plot.so. 00:39:11.040 --> 00:39:14.240 We<00:39:11.200> don't<00:39:11.359> have.com<00:39:11.839> yet,<00:39:12.320> but<00:39:12.560> plot.so. 00:39:14.240 --> 00:39:17.440 Um<00:39:14.720> they<00:39:14.960> can<00:39:15.119> find<00:39:15.280> us<00:39:15.440> there.<00:39:16.000> Yeah,<00:39:16.320> you'll<00:39:16.560> get<00:39:16.640> the<00:39:17.040> com. 00:39:17.440 --> 00:39:19.839 I'm<00:39:17.760> confident<00:39:18.079> you'll<00:39:18.320> get<00:39:18.480> it<00:39:19.280> one<00:39:19.440> day. 00:39:19.839 --> 00:39:22.079 Thank<00:39:20.079> you,<00:39:20.320> Megan.<00:39:20.720> Really<00:39:20.960> appreciate<00:39:21.359> it. 00:39:22.079 --> 00:39:25.839 Thank<00:39:22.320> you<00:39:22.480> so<00:39:22.720> much.<00:39:22.960> I<00:39:23.119> really<00:39:23.359> appreciate<00:39:23.599> it,<00:39:23.839> Clint. ```