Company stack profile
Meilisearch Tech Stack
Meilisearch's public marketing site showed HubSpot for CRM and automation context, Segment for customer-data collection, Hotjar for experience research, GTM and GA4 for measurement, and paid media tags from Google and Meta.
Overview
What We Detected
This profile covers visible public-page signals, not private systems behind the login.
SoftwareInspect detected 7 claim-ready signals on Meilisearch's public pages. The most buyer-relevant CRM or automation signal is HubSpot, because it connects this page to marketing automation and CRM evaluation.
The rest of the stack is mainly analytics and acquisition infrastructure: Google Ads, Meta Pixel, Google Analytics 4, Google Tag Manager, Hotjar, and Segment. That pattern is common in the reviewed B2B SaaS cohort.
Buyer context
What This Means for Buyers
Use the visible stack as comparison context, not as proof of every internal system.
The HubSpot signal is the clearest buying clue because it points toward CRM or enterprise-style marketing automation. It also gives buyers a reason to compare ActiveCampaign vs HubSpot when deciding what type of CRM, automation, or campaign workflow they need.
Signals like Google Ads, Meta Pixel, Google Analytics 4, Google Tag Manager, Hotjar, and Segment make the public stack look measurement-heavy. That pattern fits the reviewed B2B SaaS cohort, where acquisition and analytics tags were easier to verify than internal CRM systems.
Tech stack
Detected Public-Page Tools
7 signals were saved for this company page.
Google Ads
AdsGoogle Ads signal used for paid search measurement, remarketing, or conversion tracking.
Meta Pixel
AdsMeta Pixel signal used for paid social conversion tracking, retargeting, or audience measurement.
Google Analytics 4
AnalyticsGoogle Analytics 4 signal used for public-site analytics and event collection.
Google Tag Manager
AnalyticsGoogle Tag Manager container used to load or coordinate marketing and analytics tags.
Hotjar
AnalyticsHotjar signal used for behavior analytics, heatmaps, recordings, or on-page experience research.
Segment
AnalyticsSegment signal used for customer-data collection, event routing, or analytics instrumentation.
HubSpot
CRM and automationHubSpot signal used for CRM, marketing automation, forms, or campaign tracking.
Stack mix
Category Breakdown
This shows the mix of detected signals by SoftwareInspect category.
Evidence
Detection Evidence
We show concise evidence labels so the public page stays readable while preserving the source type.
Cohort context
How Common These Signals Were in B2B SaaS/software
Counts are from 243 normal-status domains in the reviewed B2B SaaS/software cohort.
Google Ads
Ads
85 of 24335%
Meta Pixel
Ads
62 of 24326%
Google Analytics 4
Analytics
113 of 24347%
Google Tag Manager
Analytics
184 of 24376%
Hotjar
Analytics
17 of 2437%
Segment
Analytics
27 of 24311%
HubSpot
CRM and automation
47 of 24319%
Methodology
How This Page Was Built
The page is intentionally narrow so it can support buyer research without overstating what public detection can prove.
Public pages
2 public pages were checked, including the homepage and selected secondary page when available.
Confidence flags
Signals are stored with confidence and review flags before they appear as page claims.
Buyer relevance
The profile focuses on marketing, CRM, analytics, ads, and support categories.
FAQ
Common Questions
Quick notes about Meilisearch's public-page stack profile.
What tools were detected on Meilisearch's public site?
Meilisearch's reviewed public-page profile includes Google Ads, Meta Pixel, Google Analytics 4, Google Tag Manager, Hotjar. These are visible website signals, not a full internal software inventory.
Does this mean Meilisearch uses these tools internally?
Not necessarily. The page only supports claims about public-page signals. Some tools may be used for marketing-site tracking, forms, attribution, or tag management rather than internal workflows.
How was this company stack page generated?
SoftwareInspect crawled public pages in the B2B SaaS/software cohort, saved evidence by detection type, then reviewed the results before publishing claim-ready detections.