# MayIA°

> MayIA° is an AI agent that QAs your Google Tag Manager dataLayer. It replays real user journeys on your site, checks every event and parameter against your own tagging plan, and catches tracking regressions before and after each release.

MayIA° is a product of Smart Bees, a French data and analytics consultancy. It is aimed at e-commerce and lead-generation teams whose dataLayer, GA4, Meta, Segment or CDP reporting silently breaks when the site ships a release.

**How it works.** The agents read your existing tagging plan and turn it into a test suite, with no scripts to write and none to maintain. One agent browses the site like a real visitor (product page, add to cart, checkout, payment, including Shopify checkout); a second verifies, step by step, that every expected event and parameter reached the dataLayer, and that the tags actually delivered the hit to each platform. When an element moves, the agent relocates it instead of failing, so a redesign does not invalidate the tests. A regression is reported with its root cause and a proposed fix rather than as one more alert.

**Positioning.** This is pre-release and post-release QA, not production traffic monitoring. Tools like TrackingPlan and ObservePoint observe what is already live; DataTrue runs scripted pre-release tests you author and maintain yourself. MayIA° is the pre-release half without the script maintenance, and it complements a monitoring tool rather than replacing one.

**Commercials.** Priced per event checked, not per visitor. Monthly, no commitment, operational within 24 hours.

**Languages.** French is the default and serves from the bare path; English is served under /en. Every page below exists in both.

## Product

- [MayIA° — home (français)](https://www.mayia-solutions.com/): What the product does, the problems it solves, how it compares to other solutions, and pricing.
- [MayIA° — home (English)](https://www.mayia-solutions.com/en): What the product does, the problems it solves, how it compares to other solutions, and pricing.
- [Request a demo (français)](https://www.mayia-solutions.com/contact): Demo request form. An expert responds within 24 hours.
- [Request a demo (English)](https://www.mayia-solutions.com/en/contact): Demo request form. An expert responds within 24 hours.

## Resources

- [Ressources — hub (français)](https://www.mayia-solutions.com/ressources): Practical guides on dataLayer QA, tag governance and analytics testing.
- [Resources — hub (English)](https://www.mayia-solutions.com/en/resources): Practical guides on dataLayer QA, tag governance and analytics testing.

## Guides — français

- [Comment vérifier que votre Pixel Meta fonctionne vraiment ?](https://www.mayia-solutions.com/ressources/verifier-que-le-pixel-meta-fonctionne): Un pixel vert ne prouve pas un signal exploitable. Trois niveaux à vérifier : le pixel part, Events Manager reçoit, l'algorithme publicitaire peut s'en servir.
- [Comment vérifier que votre tracking GA4 fonctionne vraiment ?](https://www.mayia-solutions.com/ressources/verifier-que-ga4-fonctionne): Un tag vert ne prouve pas une donnée juste. Les trois niveaux de vérification d'un tracking GA4 : le tag part, la donnée arrive, la donnée est juste.
- [Comment auditer votre dataLayer avant une refonte e-commerce ?](https://www.mayia-solutions.com/ressources/auditer-datalayer-avant-refonte): Auditer son dataLayer avant une refonte : la référence à geler, la baseline à mesurer, les critères de validation, et les pièges de la bascule.
- [Qu'est-ce qu'un plan de marquage et comment le construire ?](https://www.mayia-solutions.com/ressources/plan-de-marquage): Plan de marquage : ce qu'il doit contenir colonne par colonne, la méthode pour le construire dans le bon ordre, et les erreurs qui le rendent inutile.
- [Les régressions de dataLayer que personne ne détecte : 8 ans de données d'audit](https://www.mayia-solutions.com/ressources/regressions-datalayer-benchmark): 8 ans d'audits dataLayer sur 70 marques : à quelle fréquence le tracking casse, ce qui casse en premier, et pourquoi personne ne le voit à temps.
- [Monitoring de la qualité des données analytics : le guide](https://www.mayia-solutions.com/ressources/monitoring-qualite-donnees-analytics): Vos données peuvent être valides et fausses à la fois. Les 3 couches de la qualité des données, les angles morts de la data observability, par où commencer.
- [Alternative à ObservePoint : que fait MayIA° qu'ObservePoint ne fait pas ?](https://www.mayia-solutions.com/ressources/alternative-a-observepoint): Alternative à ObservePoint : là où chaque Journey se construit un par un, MayIA° recette votre plan de marquage sans script à maintenir.
- [Comment recetter son tracking Piano Analytics ? La méthode complète](https://www.mayia-solutions.com/ressources/recetter-tracking-piano-analytics): Comment recetter son tracking Piano Analytics ? Les 8 points de contrôle, les outils qui servent vraiment et les pièges à éviter avant chaque MEP.
- [Comment lire un hit Piano Analytics ? Le guide pour débuter](https://www.mayia-solutions.com/ressources/lire-hit-piano-analytics): Vous débutez sur Piano Analytics ? Apprenez à lire un hit avec Tag Inspector, décortiquez un vrai payload anonymisé et faites vos 3 premières vérifications.
- [Tags qui partent avant le consentement : le double risque (et comment le corriger)](https://www.mayia-solutions.com/ressources/tags-avant-consentement): Un tag qui part avant le consentement : risque RGPD et conversions perdues. Comment le repérer dans l'onglet Réseau et le corriger avec le consent mode.
- [Alternative à TrackingPlan : que fait MayIA° que TrackingPlan ne fait pas ?](https://www.mayia-solutions.com/ressources/alternative-a-trackingplan): Alternative à TrackingPlan : TrackingPlan monitore la production, MayIA° recette avant la mise en ligne. Ce qu'il faut savoir avant de choisir.
- [Qu'est-ce qu'un dataLayer ? Définition, exemples et fiabilité](https://www.mayia-solutions.com/ressources/datalayer-definition-exemples): dataLayer : définition, structure, exemples de code et mise en place avec GTM. Et pourquoi un dataLayer fiable peut casser en silence après une MEP.
- [dataLayer e-commerce GA4 : le guide complet (items, add_to_cart, purchase)](https://www.mayia-solutions.com/ressources/datalayer-ecommerce-ga4): Le guide complet du dataLayer e-commerce GA4 : tableau items, événements du tunnel, exemple de purchase et pièges à éviter pour des rapports fiables.
- [7 erreurs de dataLayer qui faussent vos données GA4 (et comment les corriger)](https://www.mayia-solutions.com/ressources/erreurs-datalayer-ga4): page_view doublé, purchase sans montant, items vide… 7 erreurs de dataLayer qui faussent GA4, avec pour chacune le symptôme, la cause et le correctif.
- [Comment recetter un dataLayer avant et après une mise en production ?](https://www.mayia-solutions.com/ressources/recetter-un-datalayer): Recette du dataLayer : quand et comment tester votre tracking avant et après une MEP. Méthode pas à pas, checklist de contrôle et erreurs à rattraper.
- [Votre dataLayer est correct, mais le hit arrive-t-il vraiment bon dans GA4, Meta et Segment ?](https://www.mayia-solutions.com/ressources/verifier-hits-ga4): Un dataLayer correct ne garantit pas un hit correct. Où la donnée se dégrade entre le dataLayer et GA4, Meta ou Segment, et comment vérifier son arrivée.
- [QA automatisée du dataLayer : TrackingPlan vs ObservePoint vs DataTrue vs MayIA°](https://www.mayia-solutions.com/ressources/qa-datalayer-automatisee-comparatif): TrackingPlan, ObservePoint et DataTrue testent ou surveillent votre dataLayer différemment. Les agents IA de MayIA° le recettent, sans script à maintenir.

## Guides — English

- [How do you check if your Meta Pixel is actually working?](https://www.mayia-solutions.com/en/resources/check-if-meta-pixel-is-working): A green pixel doesn't prove a usable signal. The three levels of checking a Meta Pixel: the pixel fires, Events Manager receives it, the ad algorithm can use it.
- [How do you check if your Google Analytics tracking is actually working?](https://www.mayia-solutions.com/en/resources/check-if-google-analytics-is-working): A green tag doesn't prove correct data. The three levels of checking GA4 tracking: the tag fires, the data arrives, and the data is actually right.
- [How do you audit your data layer before an ecommerce replatform?](https://www.mayia-solutions.com/en/resources/audit-data-layer-before-replatform): Auditing your data layer before a replatform: the reference to freeze, the baseline to measure, the validation criteria, and the traps of the switch.
- [What is a tracking plan and how do you build one?](https://www.mayia-solutions.com/en/resources/tracking-plan): Tracking plan: what it must contain column by column, how to build one in the right order, and the mistakes that make it useless.
- [The dataLayer Regressions Nobody Catches: 8 Years of Audit Data](https://www.mayia-solutions.com/en/resources/datalayer-regressions-benchmark): 60+ dataLayer audits, 70+ brands, 8 years of practitioner data on how often tracking breaks, what breaks first, and why nobody notices in time.
- [Data quality monitoring: the blind spot above your warehouse](https://www.mayia-solutions.com/en/resources/data-quality-monitoring-analytics): Your data can be valid and wrong at once. The three layers of data quality, where data observability stops, and where to start monitoring.
- [ObservePoint Alternative: What MayIA° Does That ObservePoint Doesn't](https://www.mayia-solutions.com/en/resources/observepoint-alternative): ObservePoint alternative: every Journey is built one by one on CSS/JS selectors, while MayIA° QAs your tracking plan with no scripts to maintain.
- [How to QA Your Piano Analytics Tracking: The Complete Method](https://www.mayia-solutions.com/en/resources/piano-analytics-tracking-qa): How do you QA Piano Analytics tracking? The 8 checkpoints, the tools that actually help, and the mistakes to catch before every release.
- [How to Read a Piano Analytics Hit: A Beginner's Guide](https://www.mayia-solutions.com/en/resources/read-piano-analytics-hit): New to Piano Analytics? Learn to read a hit with Tag Inspector, take apart a real anonymised payload, and run your first three checks.
- [Tags Firing Before Consent: The Double Risk (and How to Fix It)](https://www.mayia-solutions.com/en/resources/tags-firing-before-consent): A tag firing before consent can be a GDPR risk and lost conversions, or perfectly normal in advanced consent mode. How to tell the difference and fix it.
- [TrackingPlan Alternative: What MayIA° Does That TrackingPlan Doesn't](https://www.mayia-solutions.com/en/resources/trackingplan-alternative): Evaluating a TrackingPlan alternative? TrackingPlan monitors production; MayIA° QAs your dataLayer before it ships. What to know before you switch.
- [What Is a Data Layer? Definition, Examples, and Reliability](https://www.mayia-solutions.com/en/resources/what-is-a-data-layer): A data layer explained simply: definition, structure, code examples and setup with GTM, plus why a reliable data layer can break in silence.
- [GA4 E-commerce Data Layer: The Complete Guide (items, add_to_cart, purchase)](https://www.mayia-solutions.com/en/resources/ga4-ecommerce-data-layer): The complete guide to the GA4 e-commerce data layer: the items array, funnel events, a full purchase example and the pitfalls to avoid for reliable data.
- [7 Data Layer Errors That Skew Your GA4 Data (and How to Fix Them)](https://www.mayia-solutions.com/en/resources/data-layer-errors-ga4): Doubled page_view, purchase with no amount, empty items... 7 data layer errors that skew GA4, each with its symptom, cause and fix. A practical guide.
- [How to Test a Data Layer Before and After a Release](https://www.mayia-solutions.com/en/resources/how-to-test-a-data-layer): Data layer QA: when and how to test your tracking before and after a release. Step-by-step method, a reusable control checklist, and errors to catch.
- [Your Data Layer Is Correct, but Is the Hit Actually Arriving Right in GA4, Meta, and Segment?](https://www.mayia-solutions.com/en/resources/verify-ga4-meta-segment-hits): A correct data layer doesn't guarantee a correct hit. Where data degrades between the data layer and GA4, Meta or Segment, and how to verify it arrives.
- [Automated dataLayer QA: TrackingPlan vs ObservePoint vs DataTrue vs MayIA°](https://www.mayia-solutions.com/en/resources/automated-datalayer-qa-tools-compared): TrackingPlan, ObservePoint, and DataTrue each test or monitor your dataLayer differently. MayIA°'s LLM agents QA it — no scripts to maintain. Compared.

## Optional

- [Sitemap](https://www.mayia-solutions.com/sitemap.xml): Every indexable URL with its hreflang alternates.
- [Smart Bees](https://www.smart-bees.fr/): the data and analytics consultancy behind MayIA°.