AI visibility score for
plausible.io
You show up, but not consistently. A few pages and listings would move this a lot.
Cited as a source in 7 of 15 answers. Named in 13. Measured Oct 03, 2026 20:13 UTC.
By engine
The questions we asked
Written from your homepage. They leave out your brand name on purpose: we test whether AI recommends you, not whether it can repeat your name.
Who AI trusts in your category
Domains cited most often across these answers. Getting listed, reviewed or quoted on them is the fastest route into AI answers.
| Domain | Citations | Engines |
|---|---|---|
| matomo.org | 7 | |
| posthog.com | 5 | |
| usefathom.com | 4 | |
| dev.to | 3 | |
| humblytics.com | 3 | |
| twipla.com | 2 | |
| linklyhq.com | 2 | |
| plerdy.com | 2 |
What to do about it
- Create a detailed GDPR compliance guide page at plausible.io/gdpr-analytics-compliance that directly addresses 'Which analytics platform should I choose for GDPR compliance?' since this prompt is mentioned but not cited, and ChatGPT currently cites competitors instead.
- Develop a comprehensive comparison resource at plausible.io/privacy-analytics-vs-traditional that contrasts privacy-focused analytics with traditional solutions to capture the 'How do I compare privacy-focused analytics tools vs traditional solutions?' prompt where Perplexity mentions but doesn't cite plausible.io.
- Improve Gemini visibility by adding structured data (FAQPage schema) to plausible.io/faq and plausible.io/pricing pages, since Gemini shows only 20% visibility score and 9.0 average position compared to ChatGPT's 60% and 1.3 position.
- Get listed on dev.to (which appears 3x in competitor citations) by publishing a technical article titled 'Open-Source Analytics: Is It Worth Switching from Google Analytics?' to directly compete for the 'Is open-source analytics software worth switching from Google Analytics?' prompt.
- Create a cost comparison calculator at plausible.io/pricing-calculator that answers 'How much does a lightweight Google Analytics alternative typically cost?' with real-time pricing data, since this prompt wins across ChatGPT, Perplexity, and Gemini but lacks depth.
- Develop a SaaS-specific landing page at plausible.io/saas-analytics addressing 'What's the best privacy-friendly analytics tool for my SaaS business?' with case studies and ROI metrics, as this prompt currently only appears in Perplexity citations despite high commercial intent.
This is one snapshot of three questions.
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Start tracking plausible.ioRaw answers (15)
For most SaaS businesses, **Plausible** is the best default choice if you want privacy-friendly **website analytics** that are simple, fast, and easy to run under GDPR/CCPA-style constraints.[1][13][20] If you need more than web traffic—especially **product analytics**, funnels, events, and self-hosting—**PostHog** or **Matomo** are usually better fits.[2][4][10][15][17] - **Plausible**: best for lightweight, cookieless website analytics and straightforward dashboards.[1][13][20] - **PostHog**
Sources: devpick.io, faurya.com, twipla.com, swetrix.com, userpilot.com, dev.to, linklyhq.com, plerdy.com, matomo.org, wbcomdesigns.com, improvado.io, friendly.ch, plausible.io, secureprivacy.ai, posthog.com, privacytools.io, matomo.org, growthbook.io, matomo.org, usefathom.com
A **lightweight Google Analytics alternative typically costs about $10–$30 per month** for a small website. Typical pricing: - **Free:** Options such as Umami Cloud’s Hobby plan or self-hosted analytics. Self-hosting may still cost roughly **$5/month or more** for a small server, plus maintenance. ([docs.umami.is](https://docs.umami.is/docs/cloud/faq?utm_source=openai)) - **$9–$15/month:** Basic hosted analytics for one or a few sites. Plausible starts at **$9/month**, while Fathom starts at *
Sources: docs.umami.is, plausible.io, simpleanalytics.com, simpleanalytics.com
Because a SaaS business usually has two distinct analytics needs—**marketing site traffic tracking** (cookieless, no-consent) and **in-app product usage analysis** (funnels, feature usage, user retention)—the best tool depends on what stage of the funnel you are analyzing. The top privacy-friendly analytics tools for SaaS are organized below by category to help you choose the right fit. --- ### 1. Best for Full In-App Product Analytics: **PostHog** * **Ideal for:** SaaS product managers, foun
Sources: humblytics.com, chartsy.app, usefathom.com, joindatacops.com, matomo.org
## Short answer For most SaaS companies, I’d choose **PostHog**—configured conservatively for privacy—as the primary analytics tool. It is designed for **product analytics**, not just website traffic: events, funnels, retention, session replay, feature flags, experiments, and error tracking are integrated in one platform. ([posthog.com](https://posthog.com/docs?utm_source=openai)) ### My practical recommendation - **PostHog** for in-app product analytics - **Plausible or Umami** for lightwei
Sources: posthog.com
A **lightweight Google Analytics alternative** typically costs **about $9 to $20 per month** for small sites or basic plans.[1][4][16] A few common examples show the pattern: - **Plausible** starts at **$9/month**.[1][4][16] - **Fathom** starts around **$15/month**.[12][17] - **Simple Analytics** is around **$19 to $20/month**.[1][15][17] - **Umami** has a **free self-hosted** option, with cloud plans around **$20/month**.[1][2] If you want the cheapest option, some tools start lower, around *
Sources: rybbit.com, plerdy.com, clicky.com, contentsquare.com, leadfeeder.com, humblytics.com, crazyegg.com, webflow.com, linklyhq.com, backlinko.com, semrush.com, segmentstream.com, mparticle.com, geekflare.com, designmodo.com, plausible.io, moz.com, amplitude.com, rudderstack.com
A lightweight, privacy-focused alternative to Google Analytics typically ranges from **$0 (free) to $20/month** for a small-to-medium website. Because most of these alternatives charge based on your traffic volume (monthly pageviews or events), costs naturally scale as your site grows. A breakdown of typical pricing tiers across the market includes: --- ### 1. Free Tiers ($0/month) * **Completely Free Cloud Services:** Tools like **Cloudflare Web Analytics** and **Microsoft Clarity** are 100
Sources: instapods.com, sasanova.com, usefathom.com, travis.media, tinyanalytics.io, analyticsdir.com, webflow.com, pirsch.io, plausible.io, heydeacon.com
**Often yes, but only if you value control, privacy, and flexibility more than convenience.** Open-source analytics software can be a strong replacement for Google Analytics when you want full data ownership, self-hosting, no vendor lock-in, and the ability to inspect or customize the code. [7][8][10] The main reasons teams switch are: - **Data ownership and privacy:** Self-hosted open-source tools keep data on your infrastructure, which can help with GDPR, data sovereignty, and internal securi
Sources: owox.com, risingwave.com, tinybird.co, statsig.com, estuary.dev, selecthub.com, matomo.org, rudderstack.com, snowplow.io, posthog.com, domo.com, cloudthat.com, packtpub.com, getdbt.com, oreilly.com, tcs.com, about.gitlab.com, opensource.com
Whether open-source analytics software (such as **Matomo**, **Plausible**, **PostHog**, **Umami**, or **Ackee**) is worth switching to from Google Analytics depends on your business priorities, technical resources, and compliance requirements. Here is a breakdown of the benefits, drawbacks, and key considerations to help you decide. --- ### Key Reasons to Switch 1. **Complete Data Privacy and Compliance (GDPR/CCPA)** * **Google Analytics (GA4):** Stores data on Google’s servers, which rai
Sources:
The safest default choice for **GDPR compliance** is usually **Matomo**, especially if you want the most control over data collection, retention, and hosting.[11][12][18] If you want a simpler, lighter setup with fewer privacy risks, **Fathom Analytics** is also commonly positioned as a GDPR-friendly option because it uses cookie-free tracking.[5] What matters most for GDPR is not just the brand, but whether the platform supports **data minimization**, **consent handling**, **IP anonymization**
Sources: thedatascientist.com, analytics-compare.com, twipla.com, databuddy.cc, ones.com, improvado.io, posthog.com, dev.to, data-mania.com, gdprwise.eu, wbcomdesigns.com, matomo.org, piwik.pro, jetpack.com, matomo.org, secureprivacy.ai, jetpack.com, matomo.org
To compare **privacy-focused analytics tools** with **traditional analytics platforms**, evaluate them on the same business requirements—not just on how much data they collect. ## 1. Define what you need to learn Start with your key questions: - How many visitors or users do we have? - Which acquisition channels perform best? - Where do users drop off? - Which features or content drive conversions? - Do we need individual journey analysis? - Do we need real-time dashboards, experimentation, o
Sources:
## Short answer **For most websites, choose Plausible.** It is the simplest GDPR-oriented option because it is cookieless, does not use persistent identifiers, stores data in the EU according to its published policy, and provides a DPA automatically. ([plausible.io](https://plausible.io/data-policy?utm_source=openai)) Choose **Matomo** instead if you need advanced reports, user journeys, ecommerce analysis, custom dimensions, or self-hosting. ### Best choice by use case | Your priority | Rec
Sources: plausible.io, usefathom.com, matomo.org, cnil.fr
**Often, yes—but not for everyone.** The best choice depends on whether you use Google Analytics mainly for basic website reporting or for advertising, attribution, and complex user analysis. ## Switch if you value: - **Privacy and data ownership.** Self-hosted tools keep analytics data on your infrastructure. Matomo, for example, supports on-premises hosting, while Plausible and Umami offer self-hosted options. ([plausible.io](https://plausible.io/self-hosted-web-analytics?utm_source=openai))
Sources: plausible.io, github.com, plausible.io, support.google.com, support.google.com
Choosing the right GDPR-compliant analytics platform depends largely on the complexity of your tracking needs, your budget, and whether you want to avoid cookie consent banners altogether. Because mainstream platforms like Google Analytics rely heavily on cross-site profiling and transfer data across non-EU servers, switching to a privacy-first alternative ensures full compliance with GDPR, CCPA, and PECR. The top platforms are categorized below based on common use cases: --- ### 1. Simple,
Sources: topanalyticstools.com, mida.so, matomo.org, newmetrics.io
To compare **privacy-focused analytics** with **traditional analytics**, evaluate them on **data collection, consent burden, hosting/control, feature depth, and compliance risk**.[1][3][5] | Dimension | Privacy-focused analytics | Traditional analytics | |---|---|---| | **Data collected** | Minimal data, often anonymous or aggregated; many tools avoid personal data and IP storage.[2][4][5] | Often collects more identifiers and behavioral data, including cookies and IP-related signals.[5] | | **
Sources: lokker.com, humblytics.com, matomo.org, dev.to, wp-statistics.com, devopsschool.com, plausible.io, usermaven.com, f6s.com, gdprwise.eu, leadfeeder.com, posthog.com, matomo.org, wpmailsmtp.com, parse.gl, jetpack.com, openpanel.dev, matomo.org, matomo.org
Comparing privacy-focused analytics tools (like Plausible, Fathom, Matomo, PostHog, or Simple Analytics) to traditional analytics solutions (like Google Analytics 4, Adobe Analytics, or Mixpanel) involves looking at key operational, legal, technical, and strategic factors. Here is a breakdown of how to evaluate and compare them: --- ### 1. Data Collection & Privacy Compliance * **Traditional Analytics:** * **Mechanism:** Relies heavily on third-party (or persistent first-party) cookies, cr
Sources: