Please note: this webinar is in French.
Watch TERACT’s case study on video
How was the project launched? Which criteria were used to select the right pages? How did TERACT and Fasterize move from a manual approach to an agentic one?
Find out about the project’s stages, lessons learnt and results in this Fasterize Connect talk.
How do you go from a few hundred to more than 2,000 new faceted pages, without weighing down the IT roadmap?
That is the challenge TERACT took on with its Jardiland and Gamm vert brands, to better match users’ search intent and make the most of their product catalogue’s potential.
At Fasterize Connect 2026, Léa Savonitti, SEO Project Manager at TERACT, and Maxime Gomez, Customer Success Engineer at Fasterize, took us behind the scenes of this project: from identifying SEO opportunities to deploying them at scale with agentic AI.
From new search intents to new business opportunities
With the growth of their marketplaces, the Jardiland and Gamm vert catalogues have grown from around 10,000 to more than a million products per site.
Considerable potential, provided users can find the right pages to answer their searches. The project started with a simple question: which user searches do not yet find a precise enough answer on the Jardiland and Gamm vert sites?
By cross-referencing data from Search Console, the internal search engine, paid campaigns and business knowledge, the teams identified the most relevant opportunities.
TERACT and Fasterize therefore worked on creating filter pages dedicated to search intents that had until then been insufficiently covered.
After six months, the first results are encouraging:
2,000 pages created, around 1,000 per brand.
More than 20,000 impressions in AI Overviews generated by these pages.
More than 400 keywords ranking in Google’s top 3.
But the ambition now goes further: how can this approach be repeated continuously, without having to analyse and prepare each opportunity manually?
Agentic AI to scale up, without losing control
This is where the agentic approach developed with Fasterize comes in.
Unlike conventional automation, which repeats fixed rules, an agentic workflow can analyse different signals, suggest suitable actions and use the results to refine its recommendations.
In TERACT’s case, the loop is built on several steps:
Detect new search intents from the available data.
Qualify opportunities based on existing pages, product relevance and catalogue depth.
Suggest the pages to create or the content to enrich.
Deploy, after human approval, directly on the site with Fasterize.
Measure and adjust based on impressions, clicks, rankings and business performance.
The aim is therefore not to generate thousands of pages automatically, but to industrialise decision-making and execution, with control rules defined by the teams.
At TERACT, four safeguards in particular underpin this approach: avoiding duplicates, ensuring a sufficient product offer, checking the relevance of search intents and keeping technical impacts under control.
The decision to publish remains a human one.
What if you applied this approach to your site?
TERACT’s experience shows that it is possible to start with a limited scope, test opportunities, build reliable rules and then consider scaling up.
With Fasterize, teams can identify what is holding back their visibility, deploy optimisations directly on their site and measure their effects.
How does your site measure up?
The Digital Experience Index scores your site out of 100 for free, across the benchmark’s five pillars, and compares it with your industry.
