Yolando: $8.5M Total Funding, Backed by Drive Capital

Yolando is a Toronto-based GEO and competitive intelligence platform that shows marketing and PR teams how ChatGPT, Claude, Perplexity and Gemini describe their brand, then generates content to improve the answer. It announced its commercial launch on January 26, 2026, with $8.5 million in total cumulative funding from Drive Capital. Matt Bogoroch is founder and CEO, and Shardul Frey is co-founder and CTO.

Last updated: November 3, 2026

What are the key facts about Yolando?

Yolando is a software platform that connects AI visibility measurement to action. Instead of stopping at a dashboard, it pairs continuous competitor monitoring with recommendations and on-brand content generation, so a marketing team can see where a brand is missing from AI answers and publish material to close the gap. The table below lists its core facts, taken from the company's January 2026 launch announcement and its own product information page.

Yolando's origin story is part of its pitch. The team built the platform as an internal tool to grow BirdseyePost's customer reach, conversion and revenue, and BirdseyePost still uses it to bring in inbound leads and speed up deals. Both companies operate under one roof, so the product keeps being refined inside a working business that faces AI-driven buyer behavior every day.

How much has Yolando raised, and who invested?

Yolando has announced $8.5 million in total cumulative funding from a single investor, Drive Capital. The launch announcement, distributed through Business Wire on January 26, 2026, does not name a round stage or break the total into separate rounds, so EPR reports the figure the way the company stated it. The full category funding map sits in EPR's Capital Behind AI Communications tracker.

Drive Capital is a Columbus, Ohio venture firm founded in 2013 that says it has raised $2 billion across its funds. It invests in companies outside Silicon Valley, with more than 100 portfolio companies that include Duolingo, Branch, Greenlight and Path Robotics. For a Toronto company, a single backer with that regional focus is a notable vote of confidence.

Bogoroch said the team trained its system to identify the patterns that actually drive citation by language models, so that each piece of content the platform generates adds something genuinely new to the conversation.

What does Yolando's platform do?

Yolando's platform monitors how AI assistants represent a brand, tracks competitors, and generates publish-ready content that is designed to earn citations. The company positions the product as an end-to-end loop, from understanding to execution, and it says existing tools measured visibility and sentiment but stopped short of helping teams respond at scale.

• Monitors visibility and competitive positioning across ChatGPT, Claude, Perplexity and Gemini.
• Tracks an unlimited number of buyer questions on an ongoing basis, with no prompt caps.
• Alerts teams when a rival gains visibility for a high-intent prompt or search term.
• Identifies content gaps that keep a brand out of AI responses, so teams know what to publish and when.
• Generates publish-ready content briefs in one click, so creative teams stay consistent across projects.
• Orchestrates more than 40 specialized agents that handle research, competitive analysis, fact-checking and formatting to produce publication-ready content in minutes.

A 2024 paper at the ACM KDD conference, "GEO: Generative Engine Optimization," by Pranjal Aggarwal of IIT Delhi, Vishvak Murahari of Princeton University and co-authors, found that rewriting content with citations, statistics and quotations could raise visibility in generative engine responses by up to 40 percent, and that the gains varied by subject area. The paper is the academic basis for the discipline EPR explains in its GEO guide.

Yolando also covers traditional search. The company says the platform helps brands improve visibility across both AI platforms and conventional search, which suits marketing teams that cannot yet give up either channel.

Who uses Yolando?

Yolando's named production customer is BirdseyePost, its sister brand. In launch coverage, the company said the platform reduced demand-generation friction, improved visibility in AI-generated answers and accelerated deal velocity there. Those results come from the company and have not been independently audited.

Beyond that, Yolando says it serves B2B software companies, service-based organizations, consumer and retail brands, Shopify ecommerce stores and any business where visibility and reputation drive growth. The company has not published a long customer list, so the best evidence of fit today is the in-house use case and the platform's breadth of features. Marketing and PR teams that want to test the approach can start by comparing how the platform's recommendations line up with their own AI visibility audit.

How does Yolando compare with other AI visibility platforms?

As of November 3, 2026, Yolando ranks sixth by total funding among the seven AI visibility companies in the table below. Totals are the sum of publicly reported rounds, and each company links to its EPR profile where one exists.

Yolando's edge is the execution layer. Where several measurement platforms stop at reporting, Yolando bundles competitor alerts, gap analysis and content generation in one workflow, and it offers unlimited prompt tracking. Its trade-off is size: it is a young company with one disclosed investor and a short public customer list.

What should PR and communications teams do with this news?

PR and communications teams should read Yolando's launch as evidence that content production and AI visibility are merging into one workflow, and that the teams who control the message need a say in what gets published. AI assistants build answers by retrieving and summarizing sources, so articles and pages that are cited often and agree with each other are more likely to appear in an answer.

1. Pick the 20 buyer questions that matter most and write them as complete sentences.
2. Record which brands ChatGPT, Claude, Perplexity and Gemini name for each question, and which sources they cite.
3. Identify the three or four content gaps where a competitor is named and your brand is not, and brief the content team on what to publish.
4. Make sure every generated or drafted piece is fact-checked and reviewed by a human editor before it goes live.
5. Re-run the same prompts after each change and record the date, so you can show which placements shifted the answer. EPR's AI visibility audit method shows how.

EPR's AI visibility section links the other funding profiles and measurement guides in this category.

Sources used on this page

• Yolando launch announcement, Business Wire, January 26, 2026
• FinSMEs report on the funding, January 27, 2026
• MarTech Edge launch coverage
• Private Capital Journal on the Birdseye link, January 26, 2026
• Yolando company information page
• Aggarwal et al. GEO paper, KDD 2024