REVVDA.ai
About REVVDA

Every AI agent should find, trust and buy from your store.

Shoppers now ask ChatGPT, Perplexity and Gemini what to buy. The answer names a few brands and skips the rest. REVVDA makes sure the brands with the best products are the ones that get named.

Why we exist

The purchase now starts in an answer.

Search is turning into answers. A shopper who asks an AI agent for the best organic cotton pajamas gets a short list of brands, often without a single click. That moment doesn't show up in web analytics or Search Console, so most brands never see what they lose.

Good products lose to readable pages. AI agents recommend what they can read, trust and quote. When fabric, origin or certifications sit in an image or a PDF, the agent names a marketplace or a bigger rival instead.

So we built one platform for the whole job. REVVDA gets your store found, trusted and bought by every AI agent, re-optimizes it as the models change, and checks every green claim on the way.

Our values

Six values. Each one shows up in the product.

Values are easy to write and hard to keep. So next to each one, we say what it changes in REVVDA.

Excellence

We don't lower the bar.

Every score, recommendation and rewrite has to hold up in front of an e-commerce expert, a developer and a lawyer. If it wouldn't, it doesn't ship.

In the productWhen some AI providers fail during a visibility check, the report says Partial and leaves those errors out, instead of counting them as good news.

Speed

Useful this week, not next quarter.

Our clients work to launches, seasons and deadlines. A fix that ships this sprint beats a perfect report that sits in a folder.

In the productEvery issue arrives ranked by pages affected and points you can gain, so the first sprint can start on day one.

Proactivity

We find the problem before it costs you.

We'd rather tell you what's coming than explain what broke: a rival taking your place in AI answers, a rule change, a claim that turned risky.

In the productGreenwashing checks cover the EU ECGT rules that have applied since 27 September 2026, including old product pages nobody has looked at in years.

Evidence first

Proof beats opinion.

A recommendation you can't check is a guess. Every one we make shows the pages affected, the reason and the expected gain.

In the productEach flagged green claim comes with its exact quote, its page, its category and its risk score.

Clarity

Plain words, clear priorities.

One score for how ready you are for AI agents, and a to-do list. No jargon your management has to decode.

In the productShort reports for management, page-by-page scores, keywords and Search Console data for specialists.

Your team in control

We propose. You decide.

Your brand's words and facts are yours. REVVDA does the heavy lifting; your team keeps the final say on what goes live.

In the productEvery rewrite goes through Understand → Fix → Create task, with a Review step before a ticket is Done.

Who we build for

Brands, retailers and the agencies behind them.

E-commerce teams in 14 industries, from large marketplaces to luxury houses, and the agencies that support them.

The team

Who’s behind REVVDA

Rob Seolas

CEO, REVVDA

LinkedIn ↗

Rob has spent 20 years building software that audits websites at scale and tells marketing teams what to fix. REVVDA applies that same discipline to agentic commerce.

Before REVVDA, Rob co-founded ObservePoint and led it as CEO. ObservePoint crawls enterprise websites to check that their marketing and analytics data is accurate and compliant with privacy rules. He took it from bootstrapped start-up to Series A and B funding, with enterprise clients such as Turner.

  • ✓Fast growth, recognized: ObservePoint made the Deloitte Fast 500 and Inc. 5000 lists.
  • ✓Product depth: 11 patents on website auditing technology.
  • ✓Channel built to scale: a network of 50 partners worldwide.
  • ✓Operator, more than once: founder of iLeadMedia, CEO of Autto, board member at Plingo Media.
Why it matters for REVVDA

The job is the same one Rob has done for two decades: crawl every page, find what's wrong, rank it by impact, and give teams proof they can act on. At ObservePoint, the stakes were bad data and privacy rules. At REVVDA, they are AI recommendations and green-claim rules.

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