Conversation intelligence for recruitment (2026)

Tool information was verified via public vendor pages, July 2026. Simply is not affiliated with the vendors mentioned. Prices and features may change, check the vendor site for the current state.

What is conversation intelligence (and why does it come from sales)?

Conversation intelligence, often shortened to CI, is software that analyses conversations automatically. Not just transcription, but pulling patterns out of them. Who spoke how much. Which topics came up. What the tone was. Which follow-up actions were agreed. A good CI tool makes every conversation searchable at word level, logs it automatically into the CRM, and gives you a scorecard you can use to lay conversations side by side.

The category emerged around 2015 in the sales world. Gong was the pioneer, Chorus followed quickly. Today an estimated 87% of recruitment organisations use some form of AI support (Recruiting Connection, 2026). The problem the pioneers solved was specific: sales managers wanted to know why one account manager closed deals and another did not. By recording and analysing all sales calls, a feedback layer appeared. Talk-to-listen ratio became a thing. Did a rep talk too much? Did they ask enough questions? Which competitors got mentioned, and at what moment did a deal tip? That is where the terminology of conversation intelligence comes from, and it is worth knowing, because it explains why much of the market still carries a sales frame.

For recruitment that frame is only partly useful. A recruiter does not run a sales call. An intake conversation with a candidate has a different purpose than a demo with a prospect. You are not forecasting a deal, you want to understand a candidate, capture the right data, and assess consistently. The underlying tech (speech to text, extracting structure from conversation, analysis across multiple conversations) is the same. What you do with it is fundamentally different. So the question is not “which CI tool is best”, but “which CI tool is built for the work I actually do”.

What does conversation intelligence do for recruiters in practice?

Set the marketing aside. What does it give you on a Tuesday morning? Five things, in order of how often they come up in recruitment work.

From intake to structured CRM data

For most recruiters this is the biggest time saving. After an intake conversation you normally spend twenty minutes writing up your notes and filling in fields: desired salary, availability, current role, reason for leaving. A recruitment CI tool pulls those data points out of the conversation automatically and puts them into the right fields of your ATS or CRM. Not as a loose summary you then have to retype, but as filled-in fields.

The difference between a good and a mediocre tool sits in the validation here. A sales CI tool that recognises “company name” and “deal size” is a different thing from a tool that knows “desired salary” is an enum, that a mobile number belongs in a phone field, and that “available immediately” means something specific for your planning. Simply handles this with a confidence score per value and, more to the point, with a rule: every AI write is a proposal. You see the field, the value it wants to write and the value that is there now, and you approve or reject. See how that works in CRM data entry. You do not fill in blind, and nothing lands in your data without a person.

And notice where those fields live, because it decides how much of this works in practice. If the CI tool is a layer, the fields belong to another system and every one of them has to be mapped onto its names, types and dropdown options — and re-mapped when somebody adds a field. If the conversation and the record are in the same system, there is nothing to map. That distinction runs through the rest of this article.

Memory across multiple conversations

A single summary is useful. But the real value appears when what was said stops evaporating. What did this candidate say about their motivations in the first chat, and does that line up with what came out in the second round? Which candidates in your pool specifically mentioned interest in a hybrid role? For secondment firms and agencies working from their own database, this is the difference between a static CV and a candidate you actually remember.

Two things get sold under this heading and they are not the same, so it is worth splitting them. The first is retrieval: conversations, summaries and messages held in one searchable memory, so a question is answered from what was said rather than from what someone remembered to tick. That is what AI summaries compound into in Simply, and retrieval is permission-filtered, so a conversation you may not open cannot inform an answer you get.

The second is reporting, and it is a different capability wearing the same word. Simply’s dashboards return aggregates and stop there: counts, rates and trends over your own objects, with no drill-through from a chart into the rows behind it. You can see that first-round drop-off rose this quarter. You cannot click the bar to get the eleven candidates behind it. If a vendor offers you per-candidate or per-recruiter analytics off the back of a dashboard, the question to ask is who is allowed to see the list underneath the number.

Coaching and consistency for recruiters

This is where the sales heritage shows up most clearly, and where it is also useful. Talk-to-listen ratio and scorecards were once meant to coach reps, but the same mechanics work for recruiters. Does a recruiter talk too much in an intake and ask too few open questions? Are the same competencies covered for every candidate, or does it depend on the day? A team lead who can lay ten intakes side by side sees where the inconsistency sits. That makes onboarding new recruiters faster and conversation quality across the team more even.

Worth being honest here: Simply does not publish talk-ratio or sentiment as standalone, named features, and its dashboards stop at the aggregate on purpose, so there is no per-recruiter scorecard to open. What Simply does steer on is the structure of the output (fixed summary types per conversation type) and team-level trends over your own objects. That is a different route to the same goal: consistency and quality, without slapping a sales scorecard onto a named recruiter.

Less bias through structure

This is sensitive and deserves a sober tone. Conversation intelligence does not reduce bias on its own. What it can do: enforce structure. If every conversation is summarised along the same lines and captured against the same criteria, you assess candidates more consistently than when everyone runs on their own gut. Research into structured interviews has pointed the same way for years: a fixed structure raises the predictive validity of a selection conversation considerably (SHRM cites improvements in the order of a quarter, though this varies by study). A CI tool that imposes structure helps you closer to that consistency. It is not a bias button. It is an aid that makes it easier to compare fairly. For the legal side of this, see the guide on GDPR and the EU AI Act for recruitment tools.

Omnichannel: the phone and the in-person conversation too

This is where most tools, and certainly the ones born in sales, fall short. Sales CI is built around video calls and sometimes VOIP for outbound sales. But recruitment happens everywhere. A quick screening on a mobile number. A first meeting at the office with no screen between you. An intake over Teams. A tool that only captures your Zoom calls misses half your conversations. Simply records across all channels: online meetings captured natively through Google and Microsoft with nothing joining the call as a guest, a desktop app for phone calls, and a mobile app for conversations across a table. On top of that it attaches clickable transparency: every sentence in the summary can be replayed to the exact moment in the audio. For staffing and search & selection firms that work a lot by phone and on location, that is not a detail but the core.

The tools compared

There is no tool that is “best” in a vacuum. It depends on what you do, in which language, over which channels, and with which ATS. Below are the relevant players, grouped by where they come from: first the sales origin, then the generalists, then the recruitment-native tools.

Gong and Chorus: the origin, but out of scope for recruiters

No comparison of conversation intelligence is complete without Gong and Chorus, because they defined the category. But for recruiters they are, honestly, not a serious option. Both are revenue-intelligence platforms for sales teams. Gong does talk-time analysis, sentiment and deal forecasting, with pricing heading towards €1,300 to €1,500 per user per year plus a platform fee. Chorus (part of ZoomInfo) does recording, talk-ratio and competitor- and objection-tracking, at a comparable price point and a five-seat minimum. Neither has ATS integrations or recruitment-specific functionality. You could deploy them, but you pay a sales price for a sales product and miss everything recruitment-specific. Call them the grandfathers of the category and leave them there.

Avoma: generalist with sales scorecards

A step down in price and broader in audience sit the generalists. These tools do meeting intelligence for everyone, and recruitment is one of the use cases. Avoma is primarily a sales tool, but priced more accessibly than Gong. It does talk-ratio, filler-word and monologue detection, sentiment and scorecards based on sales methodologies like MEDDIC and BANT. The base starts around $19 per seat with a CI add-on of $29, together roughly $48 to $77 per seat per month. For recruitment the fit is moderate: the scorecards are sales methodology, and an ATS integration is not confirmed. Useful if you are mainly after coaching mechanics, less so if you want a recruitment workflow.

Fireflies

Fireflies is the best-known generalist and the most broadly integrated. Smart search, sentiment, talk-ratio and topic tracking sit in the Business tier (conversation intelligence from $19 per seat per month, with a free tier and a Pro at $10). Fireflies connects with ATS systems like Greenhouse, Lever and BambooHR, and does VOIP via Aircall and RingCentral. A separate Voice Agent product even does recruitment screening. The big gap for the Dutch market: no native Dutch summaries. The transcription handles many languages, but the output language for summaries is limited. For an international team working in English, Fireflies is a strong choice. For a Dutch agency that wants Dutch output, it drops out on language.

Metaview

Now the tools that are built specifically for recruitment. The two best-known, Metaview and BrightHire, come from the Anglo-Saxon market and are strong there.

Metaview is recruitment-native and well thought out. AI interview notes, structured summaries, scorecards, interviewer coaching and candidate comparison, with support for 50+ languages. The ATS stack is broad: Ashby, Greenhouse, Lever, Gem and SmartRecruiters. Compliance in order with SOC 2 and GDPR. Pricing runs from a free tier to about $50 per seat per month on Pro. The recruitment fit is high. The thing to watch for the NL market: the ATS integrations are internationally oriented (no Mysolution, Tigris or OTYS), and although Dutch falls within the 50+ languages, the Dutch output quality is not explicitly substantiated.

BrightHire sits in the same segment. AI interview notes, highlights and clips, structured feedback, coaching, talk-ratio and async voice screening. A strong recruitment-native product. Its pricing is just opaque: there is no public price, and market data (via Vendr) points to contracts running from roughly $15,000 to well over $100,000 per year, depending on scale. For a large international recruitment team a serious player. For an SME agency in the Netherlands the process is heavy and the language fit uncertain.

Otter

Otter shows up in every notetaker comparison, so briefly for completeness. Otter is a general transcription and summary tool with a separate Recruiting Agent product (resume summaries plus Greenhouse via Zapier). The CI layer is light and there is no native Dutch. Cheap (Pro around €7.66 per month), but for the Dutch recruitment market not a tool I would recommend as a serious conversation-intelligence option.

Simply

Simply is the odd one out on this list, and it is fairer to say that than to slot it in as a seventh CI tool. Simply is an ATS with the conversation intelligence inside it, not a CI layer that connects to an ATS. That changes what it competes with and what it costs, and both deserve to be blunt.

Start with the capabilities, because those are the comparable part. Recording across channels: online meetings captured natively through Google and Microsoft with nothing joining as a guest, a desktop app for phone calls, and a mobile app for conversations across a table. Dynamic AI summaries per conversation type, so a candidate intake gets a different structure than an evaluation or a vacancy intake — see AI summaries. Extraction into fields as proposals you approve, with the confidence score telling you where to look. Sentence-by-sentence transparency: click a statement in the summary and hear the fragment back. Plus CV parsing with conversion into your own house style, and AI matching with its reasoning attached. Output comes in Dutch or English, whichever language the conversation was in — although the interface itself is English-only, which is worth knowing before you demo it to a team that will not have that.

Now the difference that actually matters for this comparison. Every other tool here has to answer “which ATS do you integrate with”. Simply has no answer to that question, because it is the system of record. The conversation lands on the candidate because the candidate is in the same database, not because a connector wrote it there. There is no write-back to Bullhorn, Carerix, Mysolution or anything else in that category; coming from one of them is a one-way migration of about four weeks rather than a connection. The connectors that do exist are Gmail, Outlook, Google Calendar, Zoom, Slack and HubSpot — six, and that is the whole list.

So the honest comparison set for Simply is not on this page. It is Bullhorn, Carerix, Mysolution, OTYS, Recruitee and the rest of the ATS market, which is what the comparison pages are for. The price follows from the same fact: Core €79 and Professional €99 per user per month billed yearly, with recording and the unified inbox from Pro. That is several times a notetaker subscription and roughly what an ATS seat costs, because it is one. No credits, and no markup on AI usage — you connect your own key and your provider bills you directly. On compliance: ISO 27001, with the platform and candidate data hosted in the Netherlands, and model inference running at OpenAI or Anthropic or on your own key in your own region. Two separate facts, kept separate.

What Simply does not display as a standalone feature: a talk-to-listen meter or a sentiment dashboard. The choice is to steer on the output (structured summaries, proposed fields, traceable claims) rather than on loose sales-like metrics. If you specifically want a talk-ratio coaching dashboard, you would look at Metaview or Avoma sooner. And if you already have an ATS you are happy with and you only want the conversation layer on top of it, one of the tools above is a better answer than replacing your system of record.

The comparison in one table

€1,100–1,840/yr$50/mo€7.66/mo Pro

Tool	Primary market	Recruitment fit	Dutch output	ATS integration	VOIP / phone	Price indication
Gong	Sales / revenue	Low	Not relevant	None (sales CRM)	Sales VOIP	€1,300–1,500/yr
Chorus	Sales	Low	Not relevant	None (sales CRM)	Sales VOIP
Avoma	Sales (broader)	Moderate	Not confirmed	Not confirmed	Via integration	$48–77/mo
Fireflies	General meetings	Moderate–good	No (transcription only)	Greenhouse / Lever / BambooHR	Aircall / RingCentral	Free–$19/mo
Metaview	Recruitment	High	In 50+ languages, not substantiated	Ashby / Greenhouse / Lever / Gem	Not specified	Free–
BrightHire	Recruitment	High	Not substantiated	Recruitment ATS	Async voice screening	Opaque ($15k+/yr)
Otter	General meetings	Low–moderate	No	Greenhouse via Zapier	None
Simply	Recruitment ATS (NL)	High — but it replaces the ATS	Yes, output native (English UI)	None needed — it is the ATS	Yes, via desktop app	€79–99/mo

What to look for when choosing

Five questions, in the order in which they most often decide it.

Language. Do you work in Dutch? Then a large part of the market drops out on output language. International tools often claim “100+ languages”, but that usually refers to transcription, not to the quality of the Dutch summary. Ask a vendor concretely for a sample summary of a Dutch intake conversation, not a list of supported languages.

Channels. Count your own conversations from last week. How many were video, how many phone, how many on location? If more than a third goes by phone or in person, you need a tool that covers more than video calls. Specifically for Dutch 06 mobile numbers the supply is thin, check that explicitly.

ATS integration — or no integration at all. Is your ATS in the official integration list, or does it have to go via Zapier or a loose connection? For the NL market (Mysolution, Tigris, OTYS, Carerix) the international tools often do not serve you, and it runs on custom work. That difference is a week of implementation versus a quarter. But notice that this criterion only exists because the conversation and the record sit in two different systems. There is a second shape on the market now, where the intelligence is inside the ATS and the question dissolves — at the price of a much larger decision, because you are then choosing a system of record rather than a tool. Which of the two you should be shopping for depends on whether your current ATS is something you would defend or something you tolerate.

Compliance. Since 2 August 2026 recruitment AI falls under the high-risk regime of the EU AI Act. Ask about ISO 27001, a data processing agreement, and concrete documentation of human oversight and audit logs. This is no longer a plus but a floor. The guide on GDPR and the EU AI Act for recruitment tools lays out the requirements.

Pricing model. Do not count on the list price but on your actual volume, and compare the whole bill rather than one line of it. A sales CI tool at €1,300 per year is rarely justifiable for a recruiter. A conversation layer at €15 to €60 per seat per month is the cheap-looking option, but the real number is that plus the ATS seat underneath it plus what the integration costs to build and keep working. A system with the intelligence already inside it starts higher per seat and replaces two lines instead of adding one. Also watch the difference between one-off implementation fees and recurring costs, that adds up over the long run.

Conclusion

Conversation intelligence started in sales, but for recruitment it has become something different: not making deals measurable, but turning conversations into structured, traceable recruitment data. The terminology (talk-ratio, sentiment, scorecards) comes from a world the recruiter does not work in. What counts for recruitment is whether your intake ends up in the record without anyone retyping it, whether the tool understands your candidates across conversations, and whether it covers the channels you actually work on.

Leave the sales-born tools (Gong, Chorus) aside, unless you happen to run a sales team as well. The generalists (Avoma, Fireflies) are broad but miss Dutch output and recruitment depth. The recruitment-native English-language tools (Metaview, BrightHire) are strong, but aimed at the Anglo-Saxon market and expensive or opaquely priced.

For a Dutch agency the answer then splits in two, and which half you are in decides everything else. If your ATS is one you would defend, buy the conversation layer and buy it on language, on your real channel mix, and on how genuinely built its connector to your specific system is. If your ATS is one you merely tolerate — “we work around it” is the tell — then a CI tool is a plaster on the wrong problem, and you are actually shopping for a system of record with the intelligence already inside it. That is where Simply sits: recording where you work, summarising the way you work, and putting the result in fields that were yours to define in the first place. It is why its comparison set is Bullhorn and Carerix rather than Fireflies and Otter, and why its price looks wrong until you notice what it replaces. If you want to see how that layer is built, read the pillar guide on recruitment intelligence or the broader guide on AI meeting notes for recruiters. If you work at a staffing firm or a search & selection firm, the pages for staffing firms and search & selection cover how this plays out per agency type. And if you want a broader vendor overview alongside this CI lens, see the comparison of AI notetakers for recruitment.