1 category · RankedPolyAI
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| AI voice agents | Customer | 0% | 21 of 103 | 33% | 18 | criticized challenger |
Movement
By model
How each model treated PolyAI across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 1 | 2 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 2 | 0 | 1 | 3 |
| Grok 4.20 | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 3 | 3 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 3 | 0 | 0 | 3 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 1 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Focuses on enterprise customer-service calls and integrating voice assistants into existing telephony or contact-center systems.” GPT-6 Luna · AI voice agents · comparative prompt · alternative
“PolyAI is recommended for enterprise contact centers with the highest containment rates and proven ROI” Claude Haiku 4.5 · AI voice agents · comparative prompt · alternative
“PolyAI builds bespoke, enterprise-grade voice assistants that scale across legacy call center systems” Gemini 3.5 Flash · AI voice agents · comparative prompt · alternative
“If you need enterprise-grade conversation handling for complex customer service → PolyAI” DeepSeek V4 Flash · AI voice agents · comparative prompt · alternative
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Skip enterprise-focused platforms like PolyAI, Cognigy, or Cresta” Kimi K2 · AI voice agents · direct prompt · hard negative
“cautious if you do not already have enterprise contact-center infrastructure, if your budget is limited” Perplexity Sonar · AI voice agents · negative prompt · soft negative
“High minimum contract size and custom pricing make it inaccessible for many smaller teams” Claude Haiku 4.5 · AI voice agents · negative prompt · soft negative
“PolyAI — Enterprise-trained models (may be heavy for 500-person co)” Kimi K2 · AI voice agents · scale prompt · soft negative
Named alongside
The products named in the same answers as PolyAI, over the 59 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and PolyAI was named but was not.ShowHide
Named alongside
What carried it into the answer
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 58 of the 59 answers that named PolyAI and are not a share of its labels.
Domains cited
203 of the 217 domain citations in answers naming PolyAI came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
poly.ai is not in Google's top ten for any of the category's searches. In the answers, PolyAI takes 0% of first choices and Retell AI takes 27%.ShowHide
Search and answers
In search
Google, US estimates- Searches for its name, Google
- 823,000 a month (“polyai”)
- AI search demand for its name, est.
- 93 a month
- Organic visits to its site
- about 336,300 a month
- Searches its site ranks for
- 473 · 41 in the top three
- Sites linking to it
- 3,266
- Paid Google search
- 1 searches its ads show for, about 5 clicks and $74 a month (estimate)
In answers
This edition- First choices
- 12 across its categories
- Named in
- 59 answers
- Its own site cited
- in 58 of the answers that named it
Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHide| Kind | Pages | Last 90 days | 2025-11 to 2026-10 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 318 | 11 | 2026-10-02 | CRM | |
| Podcast or video | 107 | 6 | 2026-09-10 | ||
| Conference or event | 50 | 9 | 2026-10-20 | ||
| Report or ebook | 46 | 0 | 2026-05-11 | ||
| Case study | 32 | 0 | 2026-05-29 | ||
| Webinar or virtual event | 25 | 1 | 2026-08-19 | ||
| Template or tool | 21 | 0 | 2024-10-31 | ||
| Glossary or explainer | 20 | 0 | 2024-12-13 | ||
| Comparison | 3 | 0 | 2024-04-05 | ||
| News or press | 1 | undated |
Most recent
- 2026-10-20Nvidia gtc berlin 2026 conference or event
- 2026-10-19Gartner it symposium xpo 2026 conference or event
- 2026-10-14Ai after hours london 2026 conference or event
- 2026-10-07Ccw nashville 2026 conference or event
- 2026-10-05Ccw europe 2026 conference or event
- 2026-10-02Enterprise voice ai challenges blog
Events in person
- August 16, 2026 to August 18, 2026TherapyCon 2026JW Marriott Austin, Austin, USA · exhibited
- August 11, 2026 to August 13, 2026Telarus Partner Summit 2026: channel meetings | PolyAIGaylord Texan, Grapevine, United States · attended
As the event pages on poly.ai state them, read October 5, 2026.
How it is countedHide how it is counted
Every page poly.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.
Follow PolyAI
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
PolyAI is its own company.ShowHide
The company
In its own words
Stated by the vendor, not checked- Positioning
- Enterprise voice AI that finishes what your customers start. Dialog agents on PolyAI's own models act in your systems and get better with every call.
- For
- enterprise
- Price stated
- Ongoing use of the voice agent is priced on a per-minute basis poly.ai/pricing
- Integrations claimed
- 7 poly.ai/security
- Certifications
- SOC 2+ Type 2ISO 27001PCI DSSGDPRSOC 2ISO 27001-certifiedISO/IEC 27001:2022HIPAA (BAA available)
- Hosting
- USUKEUAPAC
- Customers named
- SafeRide HealthCarter'sPGEFogo de ChãoUnicredit Zagrebacka bankaAudibelMelting PotHawksmoor
- Not stated on the pages read
- Starting price, free plan or trial
What PolyAI's own pages state, read October 5, 2026: poly.ai, poly.ai/pricing, poly.ai/security, poly.ai/platform/dialog-rsn-1, poly.ai/customers. A claimed page can correct any of them.
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when PolyAI's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as PolyAI, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for PolyAI by email, built from the raw record of the edition. It shows:
- where PolyAI is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name PolyAI, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.