AVANGARDISM
AI visibility studies · Insurance

Who answers when your customer asks an AI?

18 studies of the insurance market in France. For each segment, we asked some AI engines 25 buyer questions and recorded the brands they name and the sites they cite.

insurance segments
18
buyer questions per segment
25
runs per question
5
answers kept per segment
125
answers recorded in total
2,250

What we measured

What the AI answers, before your customer compares

A future policyholder now asks an AI first: “health insurance for freelancers”, “cheaper borrower insurance”, “liability insurance for a tradesperson”. The answer names a few brands, cites a few pages, and that is where the shortlist takes shape.

We asked these questions the way a customer would write them, without rewording, in separate conversations. Every answer is kept in full, with its sources. None of the studies rates the quality of the policies: they describe what was answered, on that day.

  1. 01

    Brands named

    Which brands appear in the text of the answer, how many times out of 125, and which ones never come up.

  2. 02

    Sites cited

    Which pages serve as sources: public sites, comparison sites, media, brand sites. Your listing on a third-party site counts too.

  3. 03

    Answer stability

    The same question asked 5 times does not give the same answer 5 times. We measure how often a brand comes back.

From one segment to the next

The share of answers with no brand changes everything

Depending on the segment, the AI readily names brands or answers without citing a single one. Where it names none, the spot is open.

The 18 studies

Pick your segment

Each study details the brand ranking, the sites cited, answer stability, an action plan and the 25 questions asked. Reading time: 10 minutes.

Studies in French

Method

One method for all 18 studies

All studies on ressources.avangardism.com (in French)
  • Panel. 25 questions, 5 runs each, 125 complete answers. Collected on October 27, 2026, in France, through an AI web interface. The exact model is not disclosed.

  • Mention. The brand name appears in the text of the answer, counted once per answer and per brand. Links alone do not count.

  • Limits. Non-representative sample. 5 runs do not make a trend. Answers change from one day to the next. No technical site scan. No rating of policy quality.

Frequently asked questions

Reading these studies correctly

  • The studies refer to “some AI engines”. Answers were collected through an AI web interface, in France, on October 27, 2026. The exact model is not disclosed and the studies do not compare several AI engines.

And your brand: what does the AI answer?

The studies give a snapshot of a segment. The AI visibility audit measures your brand on your own questions, then shows which pages and sources to work on first.