AI customer support shortlist: 3 engines compared
We tested six commercial AI customer support prompts across three answer engines and measured which vendors entered the shortlist.
When a buyer asks an AI which customer support platform to evaluate, the answer usually names a short list. The vendors outside that answer may never enter the evaluation.
We captured six non-branded, commercial buyer prompts across GPT 5.2, Claude Haiku 4.5, and Gemini 2.5 Flash. That produced 18 answers and a directional view of which customer-support vendors entered the shortlist most consistently.
Zendesk led this snapshot with 18 appearances across 6 of 6 prompts.
This is not market share, product quality, or a permanent ranking. It is a dated answer-level snapshot that shows what buyers could encounter today.
The shortlist
| Rank | Vendor | Answers named | Answer share | Prompt coverage | Engine coverage |
|---|---|---|---|---|---|
| 1 | Zendesk | 18 | 100% | 6/6 | 3/3 |
| 2 | Intercom | 17 | 94.4% | 6/6 | 3/3 |
| 3 | Freshdesk | 12 | 66.7% | 6/6 | 3/3 |
| 4 | Ada | 11 | 61.1% | 5/6 | 3/3 |
| 5 | Gorgias | 11 | 61.1% | 5/6 | 3/3 |
| 6 | Salesforce Service Cloud | 7 | 38.9% | 5/6 | 3/3 |
| 7 | HubSpot Service Hub | 5 | 27.8% | 3/6 | 3/3 |
| 8 | Decagon | 2 | 11.1% | 2/6 | 2/3 |
| 9 | Drift | 2 | 11.1% | 2/6 | 1/3 |
| 10 | Helply | 2 | 11.1% | 2/6 | 1/3 |
| 11 | Yuma AI | 2 | 11.1% | 2/6 | 1/3 |
| 12 | Help Scout | 2 | 11.1% | 1/6 | 2/3 |
Download the aggregate data. The CSV contains no contact data or private prospect information.
The prompts we tested
- What are the best AI customer support platforms for B2B SaaS companies?
- What are the best AI customer support tools for ecommerce brands?
- Which AI customer service agents can resolve support tickets autonomously?
- What customer support automation software works best for a small support team?
- Which AI support platforms have strong human handoff and reporting?
- What is the best customer service AI for reducing repetitive ticket volume?
The prompts intentionally exclude vendor names. Branded alternatives and integration prompts can produce very different shortlists, so they should be tracked separately.
Where the engines disagreed
| Engine | Distinct vendors named | Examples that surfaced |
|---|---|---|
| GPT 5.2 | 12 | Intercom, Zendesk, Salesforce Service Cloud, Ada, Gorgias, Freshdesk |
| Claude Haiku 4.5 | 13 | Intercom, Zendesk, Freshdesk, Drift, Gorgias, HubSpot Service Hub |
| Gemini 2.5 Flash | 19 | Intercom, Zendesk, Helply, Ada, Pylon, Gorgias |
The disagreement matters as much as the leaderboard. A company can be visible in one engine and absent from another, even when the buyer asks the same question. A single manual ChatGPT check cannot show that gap.
Methodology
- Captured on 2026-07-15.
- Six non-branded buyer prompts.
- One answer per prompt from GPT 5.2, Claude Haiku 4.5, and Gemini 2.5 Flash.
- 18 successful answers in total.
- A mention counts only when the product or a recognized product name appears explicitly in the answer.
- Answer share is mentions divided by 18 captured answers.
- No weighting for list position, sentiment, source quality, or answer length in this first index.
Answer engines are nondeterministic. A rerun may change individual recommendations. That is why ongoing monitoring matters more than a one-time leaderboard.
What customer-support vendors should do next
- Track category, use-case, and alternatives prompts separately.
- Compare visibility by engine instead of relying on one aggregate score.
- Save the exact answer and the competing vendors named.
- Identify which third-party pages and comparison sources shape the shortlist.
- Re-run after shipping a content, authority, or positioning change.
Sonarvue turns that into a monitoring loop across the prompts that matter to your category. Run a trial scan or see how visibility tracking works.