Our story

Built from a real problem.
By someone who lived it.

“My customers had already written better marketing copy than anything I could produce myself. Specific, vivid, honest. Sitting there completely unused.”

Val is an ex-founder, back in the startup world after a 10-year break since his last exit. His close friend Valter runs a restaurant with about 10 staff. When Val started helping Valter get his online presence sorted, he hit the same wall every time.

Every link-in-bio tool was just a list of links. Menu, hours, booking. None of it explained why someone should actually walk in. Every website builder wanted hours of setup that neither of them had.

One night Val sat down and read through all 200+ of Valter’s Google reviews. What he found stopped him cold. The customers had already done all the marketing work. Vivid, specific, honest descriptions of exactly why the restaurant was worth visiting. Sitting there completely unused on a Google page that most people never read past the star rating.

So Val built favURL. It reads your Google reviews, finds the real patterns in why customers choose you, and generates a hub page from that. Your links, hours, photos, and an AI-written bio in one place. Ready in 20 seconds.

Valter was the first user. He also became an accidental co-founder, because once he saw what the page looked like, he had a hundred opinions about it. He still does. His restaurant is essentially the product’s live testing ground, and his feedback has shaped almost every feature that followed.

V
Val
Co-founder · Builder · Ex-founder, 10 years since last exit
W
Valter
Co-founder · Accidental · Restaurant owner, 10 staff, 200+ reviews
The rest of the team

Meet the AI Agents

Val and Valter handle the big picture. The actual writing, reading, and thinking is done by a team of six specialised AI Agents who never sleep, never argue about credit, and get the whole thing done in about 20 seconds.

🧠
Review Analysis AI Agent
The one who reads everything

Ploughs through up to 1,000 reviews without complaining once. Finds patterns, flags emotional language, and figures out what customers are actually trying to say. Never takes a coffee break.

✍️
Headline AI Agent
The wordsmith

Stares at your reviews until a headline clicks. Writes the opening line and subtitle that makes someone stop scrolling. Takes it personally if the output is generic.

🏆
Advantage AI Agent
The competitive one

Spots the three things your customers brag about most, then finds the exact quote that proves each one. Absolutely refuses to use the word "passionate" or "committed".

Highlights AI Agent
The praise collector

Reads every nice thing anyone has ever said about your business and organises it into something useful. Would have been great at yearbook superlatives.

💡
Insights AI Agent
The practical one

Pulls out the tips, hidden gems, and special touches buried in your reviews. Things like "ask for the corner table" or "the lunch special is not on the menu." Genuinely useful stuff.

📸
Vision AI Agent
Sees what others miss

Looks at your actual photos and writes honest captions based on what is really there. No "vibrant atmosphere" nonsense. If there is a cat sleeping on the counter, it will mention the cat.

Honest notes

✓ What works

The output is surprisingly specific to each business. A barbershop page reads completely differently from a dental office page because the reviews are different. That specificity is the whole point.

~ What does not yet

It requires 50+ Google reviews to generate something meaningful. Newer businesses with thin review history get a lighter result. We are honest about this rather than pretending otherwise.

See what your reviews say about you

Free to generate. Works for any local business on Google Maps.

Search your business →
About favURL — Built from a real problem