Not another GEO tool. Here’s what makes Atyla different.
There are a lot of GEO / AEO tools launching right now.
Most of them simulate prompts and track mentions.
That’s useful.
But we kept seeing the same problem:
→ Simulations ≠ real AI traffic impact.
Atyla was built differently.
It’s powered by real AI traffic data from Senthor, which works with major French-speaking media groups and large publishers.
Instead of guessing how LLMs rank brands, we observe actual patterns in how AI crawlers behave and how traffic flows.
That changes everything.
We now work with SEO agencies and brands like lemlist to help them:
• Track how ChatGPT, Gemini and Perplexity mention them
• Identify visibility gaps vs competitors
• Improve AI-optimized content structure
• Connect AI mentions to real traffic impact
We’ve opened a 7-day free trial for anyone who wants to test it.
You’ll also receive a personalized GEO audit with actionable improvements.
Curious to see how your brand appears in AI search?
Who wants to try it? 👀
Replies
The real AI traffic data angle is what makes this interesting. A lot of GEO tools feel theoretical connecting mentions to actual traffic is the missing layer. Curious how detailed the crawler insights get 👀
Atyla
@allu__kurashi Great point 🙌 that gap between mentions and real traffic is exactly what we’re trying to close.
On the crawler side, we can identify which AI bots are accessing which pages, frequency patterns, crawl depth, and traffic correlations over time.
It’s not just “AI mentioned you”, it’s “this model accessed these URLs and here’s the measurable impact.”
Still evolving the depth of insights, but that infrastructure layer is what makes the difference.
Did you check our SaaS ? :)