Contact Centre QA Software AI Visibility Index 2026: which platforms ChatGPT, Gemini and Google AI name on their own

Last updated: 8 September 2026

Most of the categories in this series turn up the same shape: one name slightly ahead of the pack, then a long flat tail where nobody is really winning. Contact centre quality assurance software does not do that. On 8 September 2026 we put 55 real buyer questions to ChatGPT, Gemini and Google AI Overview, covering everything from picking a QA tool for a first support team to proving compliance in a regulated call centre, and recorded 558 answers. We tracked 15 contact centre QA platforms against that single denominator. The finding worth remembering: the median platform in this category is named in over 14 percent of answers, and the real story is not who leads but where the field falls off a cliff.

The numbers in brief

• Observe.AI is named most often, in 25.99 percent of the 558 answers. That is roughly one answer in four.
• The median across the 14 platforms that appeared at least once is 14.34 percent.
• Scorebuddy follows at 20.61 percent, then MaestroQA at 19.53 percent and NICE CXone at 17.92 percent.
• The field splits hard after eighth place: Playvox holds the line at 8.96 percent, then the next platform drops to 4.30 percent, less than half.
• Only one of the 15 tracked platforms was never named in a single answer.

What we measured, and how

We track 55 questions phrased the way a QA manager or support leader actually types them, split across four themes: quality assurance and agent scoring software, AI scoring and coaching, compliance and regulated contact centres, and contact centre platforms and CX tooling more broadly. Each question is put to three engines. The figures in this report are drawn from 558 answers recorded on 8 September 2026 across ChatGPT, Gemini and Google AI Overview. We record what the engine returns, not what it was asked to return.

Three measures, in plain words:

• How often AI names them: the share of the 558 answers in which the platform is named.
• Share of the answers: the platform's portion of all mentions across every answer.
• Average position: where the platform tends to land in a list when it is named. Lower is better.

Every platform was measured against the same 558-answer denominator. No platform paid to be included, and the names in this report identify research subjects, not customers and not endorsements.

Who the engines actually name

That table is the entire scoring field. Of the 15 platforms we tracked, only these 14 were named in a single one of the 558 answers. One platform never appeared at all.

The finding that matters more than the ranking

Most categories we measure are flat: a leader with a small edge, then a long tail where everyone blurs together under a couple of percentage points. This one is not. Look at the gap between rank 9 and rank 10. Playvox holds 8.96 percent, a real, usable position. Calabrio, one place lower, holds 4.30 percent, less than half of Playvox's share. That is not a slope. It is a cliff, and it tells you something a single leaderboard number cannot: this category has a genuine top tier and a genuine bottom tier, and which one a platform sits in matters more than its exact rank inside either.

The top eight platforms, Observe.AI down to Level AI, all sit within a comparatively tight band, 25.99 percent down to 13.08 percent. Add Playvox and the contested tier runs eight and a half points wide, from 25.99 percent to 8.96 percent. Below that, six platforms share the remaining ground, and by the bottom of the table a platform is named in fewer than one answer in a hundred.

What actually separates the top from the middle

Being in the top tier is not just about naming frequency. Look at average position, where the platform lands in a list once it is named. Zendesk QA, seventh by naming frequency at 15.59 percent, has the best average position of any top-tier platform at 2.9, ahead of Observe.AI's 3.0. Talkdesk, sixth by naming frequency at 16.31 percent, has the weakest average position among the top eight at 4.7, meaning it often shows up further down a list even when it makes the cut. Naming frequency and position are measuring different things, and a platform can lead on one and lag on the other.

Sentiment tells a quieter story. Every top-eight platform sits in a narrow band, 60 to 66 out of 100, so warmth of tone is not what divides the tiers here. The outliers sit lower down: Playvox, right at the edge of the contested tier, carries the warmest sentiment of any platform with real presence at 66, and MiaRec, dead last on naming at 0.18 percent, has the single warmest score in the whole category at 76. A platform can be almost invisible and still be described warmly on the rare occasion it comes up.

The practical read: the middle and bottom tiers in this category are not there because the engines dislike them. They are there because they are rarely retrieved at all. Getting from the bottom tier into the contested top eight is a coverage problem first and a reputation problem second.

Leadership shifts depending on the question

The category splits into four distinct topics, and no single platform leads more than two of them.

Scorebuddy's 20.61 percent category-wide figure understates its position on the specific question a QA buyer asks first: it leads the largest single topic, quality assurance and agent scoring software, at 41.28 percent of that topic's 218 answers, roughly double its overall rate. Observe.AI's category-wide lead is built the other way, spread more evenly, and it shows: Observe.AI is the only platform to lead two separate topics, AI scoring and coaching at 26.97 percent and compliance at 24.75 percent, each well ahead of its 25.99 percent category-wide figure would suggest on its own. Talkdesk, sixth on the category-wide table, is the clear leader once the question shifts to broader contact centre platforms and CX tooling, at 36.78 percent of that topic's 87 answers, more than double its 16.31 percent overall rate.

The pattern holds even in a crowded category: a platform's strongest position is usually narrower than its headline number, tied to the specific question it is actually built to answer.

Where the answers come from

Two things stand out. First, no single source dominates retrieval the way editorial sites dominate a consumer category. The top source, cloudtalk.io, is retrieved in only 12.01 percent of answers, and the drop from first to twelfth place is gentle rather than steep. That flatness on the source side, sitting underneath a genuinely tiered brand ranking, suggests the engines are pulling from a wide spread of vendor sites, review aggregators and comparison pages rather than deferring to a handful of trusted publishers.

Second, G2 is the only pure aggregator inside the top twelve, retrieved in 6.99 percent of answers, well behind several individual vendor domains. For a software category, that is a smaller role than review sites often play. The heavier lifting is being done by vendors' own comparison and alternatives pages competing directly with each other for the same retrieval.

What this report can and cannot tell you

These results are directional, not definitive. They describe one question set, on three engines, on one day.

Read this way, the data can answer a bounded set of questions:

• Which contact centre QA platforms the engines name without being prompted with a brand name.
• How concentrated this category is compared with the flatter fields we have measured elsewhere.
• Where the real tier break sits, and which platforms sit on which side of it.
• Which source types the engines reach for when they build a QA software shortlist.

It cannot do several other things, and it is worth being blunt about them. It cannot prove that appearing more often produces more trials or more deals closed. It cannot establish a causal link between anything a given platform did and its position here. It cannot tell any individual platform that it ought to compete across all four topics, because a platform built for one workflow has no real claim on all of them. A tool built for AI-only scoring has no natural claim on a broad CX-platform question.

The operating instruction is therefore not to chase a single blended score. Split the topics by the ones you could genuinely win, read the exact answers the engines give for those, and repair the weakest layer of evidence underneath them.

What this means if you run a contact centre QA platform

If you sit in the contested top tier, the finding that matters is the cliff, not your exact rank inside it. The gap between eighth and ninth place is larger than the gap between first and eighth combined in percentage terms. Staying above that line is worth more than climbing a place or two within it, and slipping below it costs more than the raw percentage suggests.

If you sit in the lower tier, the sentiment data is the useful signal. Warm scores on rare mentions mean the problem is coverage, not reputation. The fastest way up is not a messaging change, it is getting retrieved on more of the pages and comparisons the engines already pull from, starting with the vendor and aggregator domains already carrying real share in this category.

If you are comparing this category to others we track, the contrast is the whole point of this report. Our UK tech recruitment index covers a category where the median brand appears in well under 1 percent of answers, a completely different shape from the 14.34 percent median here. The same open-field pattern we found in recruitment also shows up in Middle East on-demand strategy consulting, which makes this contact centre category one of the more settled fields we have measured to date. Our earlier Texas dining index, where the leader sat at just 5.98 percent, is a useful outside reference point for how unusual this level of concentration is. For a sense of how the pattern plays out in consumer categories, see our crypto wallet, London burger and London cookie bakery indexes.

Sources

• Schmitdy category tracking, contact centre QA software question set, 8 September 2026. The 558 answers, 55 tracked questions and 15 tracked brands behind every figure in this report.
• Observe.AI, observe.ai. Official site of the most-named brand in the index.
• Scorebuddy, scorebuddycx.com. Official site, second in the published table.
• MaestroQA, maestroqa.com. Official site, third in the published table.
• NICE CXone, nice.com. Official site, fourth in the published table.
• EvaluAgent, evaluagent.com. Official site, fifth in the published table.
• Talkdesk, talkdesk.com. Official site, sixth in the published table.
• Zendesk QA, zendesk.com. Official site, seventh in the published table.
• Level AI, thelevel.ai. Official site, eighth in the published table.
• Playvox, playvox.com. Official site, ninth in the published table.
• G2, g2.com. Most-retrieved aggregator source.

Every brand named in this report is a research subject. Inclusion is not an endorsement, and no platform paid to appear.

If you want to know which of these questions your own platform already shows up in, we can run the same measurement for your market.