Subcategory · AI Citation Index

Who AI is citing in Contact Center

No brand breaks 10% shortlist share across 17 contact-center queries; RingCentral leads evaluation at 59, but market is wide open.

Brands tracked

77

Avg AEO score

60/100

Citation coverage

0%

of brands cited at least once

Dominant brands

0

cited > 50% of queries

Discovery stage

The shortlist

When buyers ask AI for the best Contact Center software

No discovery-stage prompts have been scored against this category yet — once the shortlist cron runs, this section will surface which brands AI cites most.

Evaluation stage

The battleground

How brands fare on comparison queries · category median 41/100

RingCentral leads evaluation queries with a 59 average score across 4 comparisons, followed by Dixa at 55 and Sprinklr Insights and Zoom Contact Center tied at 49. The median evaluation score sits at 41, well below the category average of 60, indicating weak consensus on which platforms truly outperform. Eight brands have evaluation data, but none separate from the pack decisively.

Each brand's evaluation score averages how AI responds to head-to-head comparison queries that mention them. Above-median brands win their comparisons more often than they lose.

Trends

Over the last 12 months

Too few audits to establish a trend. Only two months of data exist: March 2026 averaged 57 across 13 samples, April rose to 61 across 31 samples. Talkroute posted the sharpest gain with a +20 delta, while Cognigy dropped 6 points.

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Editorial picks

Brands worth watching

FAQ

Contact Center questions, answered

What is the best contact-center software for enterprise teams?+
RingCentral scores highest in AI evaluations at 59, with Dixa close behind at 55. Neither breaks away decisively, and no brand appears frequently enough on shortlists to claim market leadership. Enterprises should expect to audition multiple platforms.
Which contact-center platform is rising fastest in AI citations?+
Talkroute gained 20 points between March and April 2026, the sharpest climb in the dataset. Its 58 featured score still lags leaders like Ringover and Sprinklr Insights at 72, so the momentum may reflect early-stage visibility rather than established strength.
How fragmented is the contact-center category in AI recommendations?+
Extremely. 77 brands compete, zero hold a dominant shortlist position, and coverage rate is 0% across 17 prompts. The median evaluation score of 41 trails the category average of 60, showing weak consensus on which platforms outperform.
Do any contact-center vendors dominate AI-driven discovery queries?+
No. The shortlist data shows zero brands breaking through on discovery-stage prompts. RingCentral, Dixa, and Sprinklr Insights lead in evaluations, but none appear consistently enough to own the category in AI outputs.
Should I trust AI recommendations in the contact-center space?+
Proceed cautiously. With 0% shortlist coverage and a 19-point gap between top evaluation scores and the median, AI outputs lack the pattern strength seen in more consolidated categories. Cross-reference multiple queries and validate against your own feature matrix.
Is Zoom Contact Center a safe choice based on AI citation data?+
Zoom Contact Center scores 49 in evaluations across 4 queries, below the category average of 60 and well behind RingCentral at 59. It does not appear in the top featured brands, suggesting middling visibility and differentiation in AI outputs.

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