Bolster is a brand protection and digital risk protection platform · bolster.ai ↗
A product needs 10 labels in a category before a share is stated. Bolster has 7.
“I'd put Bolster first on the shortlist for a mid-sized B2B company”GPT-6 Luna · Paraphrase question · first choice
“Consider Bolster if you mainly need to detect and remove fake sites, look-alike domains”GPT-6 Luna · Direct question · alternative
“Best for: Automated AI-driven brand protection and domain spoofing detection.”Gemini 3.5 Flash · Direct question · alternative
“Netcraft or Bolster would be ideal for brand protection”Mistral Small · Paraphrase question · alternative
No model argued against it.
The products named in the same answers as Bolster, over the 17 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 13 | 1 | View → | |
| 10 | 0 | View → | |
| 8 | 0 | View → | |
| 7 | 3 | View → | |
| 7 | 0 | View → | |
| 6 | 2 | View → | |
| 5 | 1 | View → | |
| 4 | 0 | View → | |
| 3 | 0 | View → | |
| 3 | 0 | View → |
A side-by-side page exists where both products are among a category's top eight.
Stated on Bolster's own site, not checked by Gane.
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 15 of the 17 answers that named Bolster and are not a share of its labels.
Forty-five of the fifty domain citations in answers naming Bolster came from a third party's page.
Pages are listed as the models cited them.
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 0 | 1 | 0 | 1 |
| Grok 4.20 | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 1 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 1 | 1 | 0 | 0 | 2 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 1 |
| Kind | Pages | Last 90 days | 2025-11 to 2026-10 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 319 | 9 | 2026-10-01 | ||
| Webinar or virtual event | 23 | undated | |||
| Comparison | 15 | 1 | 2026-09-18 | ||
| Glossary or explainer | 11 | undated | |||
| Report or ebook | 2 | undated | |||
| Template or tool | 2 | undated | |||
| Conference or event | 1 | undated |
Every page bolster.ai exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read October 5, 2026.