It is the question we are asked most often, and it is a fair one. You will hear that these assistants plug straight into your Google Analytics. That is true on paper, and it is not true in the same way from one tool to the next. Here is where each one stands today, what they do very well, and where we take over.
No. A general-purpose AI answers when you ask it something; an analytics tool measures your site continuously and warns you without being asked. That holds for ChatGPT as much as for Claude, Gemini or Mistral's Le Chat. One waits for a question, the other keeps watch. They complement each other, they do not replace each other.
Lysible does the other half of the job. It reads your Google data and your pages every day, spots what has moved, and tells you what to fix first. You have nothing to ask for.
Facts before arguments. Each one links to its source.
Google has built Gemini into Google Analytics under the name Ask Advisor. Google's own documentation states that the feature is in beta and available on properties whose language is English.
None of the three official connector directories offers Google Analytics, Search Console or Google Ads. At OpenAI they are office tools; at Mistral, data and commerce tools. Paid third-party gateways exist, which means one more subscription.
Asked about real multi-table databases rather than a practice spreadsheet, the best models stay “below 0.4”, the authors write. DataGovBench benchmark, July 2026.
We use these models every day, including to run Lysible. Talking them down to sell you something else would be dishonest.
No documentation beats a model you can ask three times in a row what a bounce rate is, without feeling embarrassed.
Product descriptions, ads, customer replies. On that ground it is hard to beat, and it costs almost nothing.
A raw export, a precise question, an answer in thirty seconds. When you know what you are looking for, it is perfect.
€20 to €30 a month for individual use. We are not going to pretend otherwise.
A general-purpose AI only starts if you start. It knows nothing about your site beyond what you pasted into the conversation, and it begins from scratch in the next one. Look at what sits at the top of each column.
Here is a situation we run into every month. Seen from above, it is invisible. Seen page by page, it is expensive.
Through an MCP connector. Google publishes one for Analytics, which it labels “Experimental” itself. There is no official equivalent for Search Console. Here is the installation, as documented.
Create a Google Cloud project
Enable two Analytics APIs in it
Install Python 3.10 and pipx.
Install the gcloud CLI, then authenticate from the command line.
Edit a JSON configuration file.
And work in a desktop app, not in the tab you actually use
They are not at the same point, and the nuance matters. Here is what each one can do with your web data, checked against the vendor.
Eight official connectors, all office and messaging. Custom MCP connectors must be remote, whereas the server Google publishes runs locally.
Its directory offers Ahrefs and Amplitude. Local MCP extensions only work in the installed app, not on claude.ai.
The only one built into Google Analytics, under the name Ask Advisor. In beta, and only on properties whose language is English.
More than twenty MCP connectors, split across data, productivity, development and commerce. No web analytics tool in the list.
No official connector. Third-party gateways relay Analytics and Search Console, which adds a subscription instead of replacing one.
None of them goes and fetches your data on its own, and none comes back the next day to tell you what moved.
A general-purpose assistant interprets the data you give it. A specialized tool collects it, compares it over time and flags the gaps on its own. Here is the detail, line by line, MCP connectors included.
What we compare | A general-purpose AI alone | An AI + connectors (MCP) | Lysible |
|---|---|---|---|
Plugs into your Google data | × Copy-pasting exports | ~ Analytics and Ads, locally | ✓ In a few clicks |
Knows what to look at unprompted | × Answers, does not search | × Access is not method | ✓ The same grid every time |
Warns you without being asked | × Never | × Never | ✓ Daily monitoring |
Keeps a comparable series over time | × A conversation memory | ~ 2 to 14 months of GA4 detail | ✓ History kept and compared |
Applies the right scope to the calculation | × Calculation right, scope often wrong | ~ Same risk, fresher data | ✓ Filters written once, applied always |
Looks at what your pages look like | × No | × No | ✓ Visual analysis of every page |
Ranks actions by impact | × A list, in no order | × A list, in no order | ✓ Impact, time, difficulty |
Skill required | × Prompting, and knowing what to ask | × Prompting plus some technical work | ✓ None |
What becomes of the data you paste | × To be checked account by account | × Also passes through the connector | ✓ Hosted in Europe, GDPR |
Your customers now ask ChatGPT and Perplexity which supplier to choose. Those tools will not spontaneously tell you whether they mention your company, nor who they mention instead.
You choose the queries that matter to your business. Lysible checks whether ChatGPT, Claude, Gemini and Perplexity mention your company. When it is not you, it shows you who is mentioned instead.
Included in the Performance and Enterprise plans.
These are the lines that come back in demos. We take them in order.
With MCP connectors, Claude plugs straight into my Analytics.
The AI costs me €25 a month, you cost €89.
The model you use is the same as mine.
I can build the same thing with a custom GPT.
The cost of a tool is not its line on your bank statement. It is that line, plus the time spent getting the answer. Counted that way, the cheapest subscription becomes the most expensive.
The chart above shows a quote page losing 63% of its clicks with nothing to flag it. Let us do the arithmetic, with figures for you to replace with your own.
It is not the drop that costs you. It is the time it goes unnoticed.
Over twelve months, the Performance plan comes to €1,548. One single page caught in time, and the question of price stops being one.
The reverse matters just as much. A page that recovers on its own, you will not know that either, so you will not know what to repeat elsewhere.
Same company, same week, same problem on the site. The sequence changes.
You open a chat. You export three files from Analytics and Search Console.
You rephrase twice, the export was too big to go through in one piece.
Good summary. You check two figures that look odd. One of the two was wrong.
You get twelve recommendations, in no order. You pick by instinct.
The analysis runs. Your Google data and your pages are read again, as they are every day.
You open Lysible. At the top: the quote page has lost 63% of its clicks over six weeks.
The cause is stated, the fix too, with how long it takes and the expected impact.
It is fixed. Lysa, the built-in assistant, tracks the effect and will tell you in two weeks whether it worked.
A general-purpose AI makes you capable, one conversation at a time. The next day everything has to be rebuilt: the context, the questions, the checks. Nothing remains.
After a year, Lysible does not know search any better. It knows your site better: what you fixed, what worked, what comes back every winter. That knowledge is not something you ask for, it is something that gets built.
The quality of an answer depends on the question of the day. The quality of a Lysible analysis does not depend on how you feel on Monday morning. It is the same grid, always, including the weeks when you have time for nothing.
A tool that waits for your questions leaves you responsible for thinking of everything, all the time. That is where the real cost sits. Lysible carries that load, and hands you back the decision.
Three cases where we will tell you to save your money.
The two do not do the same job. One answers your questions, the other flags the ones you did not ask. Thirty days to check, no card required.
General-purpose AI, MCP connectors and specialized tools: what we get asked most.