How to Use Claap for Competitor Analysis

Start from what makes this different rather than from what it shares with everything else in the category. Recording, transcription and summaries are table stakes at this point. The property worth building a method around is that competitive signal arrives pre-labelled: Claap describes its analysis as identifying competitor mentions and comparisons, customer objections and concerns, pricing and negotiation discussion, feature requests and product feedback, and it does that on calls as they are processed rather than against a competitive set somebody configured.

That inverts the usual trade. Elsewhere in this cluster the constraint on a call archive is that you only find the rivals you thought to look for. Here you find whatever the model decided counted, which is a much wider net and a much vaguer one. It means the archive can hand you a name nobody would have searched for, and it means you cannot reconstruct the rule that produced any given label. Both halves of that need to be in the reader’s head before any number from it gets quoted.

What it does not contain is anything the competitor did. There is no view of their pricing page, their releases, their hiring or their announcements, and there is nothing about buyers who never spoke to your company at all. The archive is an account of your own market conversations, unusually well indexed, and the honest description of its role is that it tells you how you are being compared rather than what you are being compared against.

1. 1Find out how far back your plan actually reaches. Retention is published as a line on the price list rather than buried in a contract: months on the entry tier, years higher up, unbounded at the top. It is the hard ceiling on every comparison you are about to attempt and the cheapest fact on this page to establish.
2. 2Filter by the competitor label and calibrate on twenty to thirty calls. The label is applied by a model with no list behind it, so read a real sample before deriving any figure. You are establishing three things: how often it is right, what it treats as a competitor, and whether it catches the mentions you already knew about.
3. 3Write down every name the labels surfaced that you did not expect. This is what a list-based tool structurally cannot do for you. Expect regional players, in-house builds, adjacent products used as substitutes and the occasional consultancy. Most will not matter; the one or two that do are worth the whole exercise.
4. 4Open the objection and pricing labels on the same calls. A competitor label alone says a name was said. The value is in what surrounded it: which doubt the buyer raised straight afterwards, and whether a number appeared. Reading the three together turns a mention into an account of how you were compared.
5. 5Promote a recurring name into your tracked set, with an owner. Ending with a name and no owner is how this work quietly stops. When a rival keeps appearing, write them into the competitive set, decide who watches their public surfaces, and record the date and the call that prompted it.

Most competitive tracking in a call archive works by declaration. Somebody writes down the rivals that matter, the system finds those strings, and the resulting count is exactly as complete as the declaration was. It is precise, it is auditable, and it has one failure mode that never announces itself: a competitor nobody declared produces no signal at all, forever, and the report shows a clean chart the whole time.

Labelling removes that failure mode and introduces a different one. Because the model decides what constitutes a competitor mention, the archive surfaces the substitute nobody classified as a rival, the regional player two reps have heard of, the internal build a buyer is weighing against you. In practice this is the strongest argument for reading a labelled archive at all, and it is the argument the vendor documentation never makes, because vendors describe features rather than epistemics.

Calibrate before you count

Read twenty to thirty labelled calls end to end before deriving a single figure. You are answering three questions and none of them takes long. How often is the label right? What does it treat as a competitor, since substitutes and partners sit in a grey area? And is it catching the mentions you already knew about, which is the only recall check available to you. Write the answers down, because they are the caveat that has to travel with every number this source produces afterwards.

The output that justifies the exercise

Keep a running list of names the labels surfaced that you did not expect. Most of them will not matter: a former employer, a partner mistaken for a rival, a product mentioned in passing. One or two a year will matter enormously, and they arrive earlier than any other route would have delivered them, because a competitor becomes visible in buyer conversation months before they become visible in your own market research.

The four labels applied to every call

The competitor mention label. The entry point, applied without configuration. Its strength is recall and its weakness is that you cannot inspect its reasoning, so it belongs at the start of an investigation rather than at the end of one. Filter by it, read, and record what you found rather than how many there were.

The objection and concern label. The doubt a buyer raised, which is what tells you whether a competitor mention was serious. A rival named alongside a concrete worry about your product is a comparison in progress. A rival named with no objection attached is often a buyer signalling that they have done their homework.

The pricing and negotiation label. Where money was discussed, and therefore where a rival’s quoted figure tends to appear. Treat any number a buyer reports as an anchor rather than a fact, since it may be a real quote, a rounded memory or a negotiating position, and read it beside the price you eventually agreed.

The feature request and product feedback label. Requests are frequently competitive statements in disguise, because buyers ask for what they have seen elsewhere. A request phrased as a comparison is the cheapest competitive research available, and it usually arrives before the corresponding capability shows up in anybody’s public material.

How calls get into the archive in the first place

Stand-alone recording. Capture for in-person meetings and uploaded files, through a browser extension and a desktop application. Competitively this is the most consequential item on the list, because it changes which rooms exist in the archive at all. The conversations most likely to contain a frank assessment of a rival are the late-stage and on-site ones, and those are precisely the meetings a scheduled bot never attends.

Bot recording on the main conferencing platforms. The routine path, with speakers separated automatically. Worth one operational note for competitive purposes: the calls that get recorded are the calls somebody scheduled properly, so a team that runs its late-stage conversations as ad hoc invitations will have an archive weighted toward discovery, which is the stage where competitors are named most loosely.

Transcripts across ninety-nine languages and more. Claap states support for over ninety-nine languages with speaker identification, so nothing has to be configured per market for a mention to be caught. Accuracy still varies by language and accent, which means the number of usable quotes will differ between markets even when the labelling behaves identically across them.

What you can do with the archive once they are in

Recording views, folders and labels. Saved slices of the archive. The unglamorous item that decides whether this becomes a routine. One view per rival you actively track, plus one for anything labelled competitive in the last fortnight, is enough structure for a competitive owner to work from indefinitely.

Framework scoring. Calls assessed against MEDDIC, SPIN, BANT, SPICED or a framework you define. The competitive reading sits in the decision criteria: criteria that arrive already formed, listing capabilities in an order nobody on your side introduced, were written by somebody else. A pattern of those across one segment is a rival setting the terms of the evaluation, which is a more serious finding than any mention count.

The connected meeting search. Keyword or meaning-based retrieval across transcripts with the competitor and objection filters available, returning passages grouped by call. The instrument for questions that span a quarter. Everything it returns is a place to start reading, not a conclusion.

Plan retention. Published per tier as months on the free plan, years on the paid ones and unbounded at the top. Unusually for this cluster, the limit of your own historical record is a number you can look up rather than one you have to ask an administrator to find. Establish it before promising anybody a multi-year comparison.

Two routes lead out of this archive and they answer different questions, so the mistake is picking one. The first is ordinary and does the weekly work: filter by label, add a keyword or a date range, and save the result as a view so the same slice is one click away next week. Saving it is what decides whether competitive listening survives a busy quarter.

The connected assistant, for questions that span a quarter

Claap publishes a hosted connection that lets an AI client query the workspace directly, free to its users. The relevant tool searches meeting recordings by keyword or by meaning across transcripts, filterable by company, contact, deal, folder, label and date range, and by the competitor, objection and pain point tags. It returns the matching passages grouped by recording rather than a summary, which is the right shape: you get pointers into the archive instead of a confident paragraph with nothing underneath it. One practical constraint to design around is that the meaning-based search returns a single page of results rather than paging through them, so a broad question is better served by raising the result count than by expecting to walk through everything.

Ask it the things a person cannot open enough calls to answer. Which rivals came up in mid-market deals last quarter that did not appear the quarter before. Which objections travel with a particular competitor’s name. Where a specific claim about your product shows up. Then open what it points at. Do not ask it to produce the finding: a model summarising your archive will write a fluent paragraph whether or not the evidence supports it, and a competitive claim nobody traced back to a recording is the kind that gets contradicted by a customer six weeks later.

The sheet, with one column the other sources do not need

Date, account, segment, the rival named, the buyer’s sentence, the objection beside it, the deal outcome, and then a plain yes-or-no column recording whether a person actually opened that call. Because the label is applied by a model you cannot interrogate, an unread row is a suggestion rather than a data point, and separating the two in the sheet is what stops a calibration problem quietly becoming a reported number. Anything you intend to quote gets its sentence copied out on the day you find it, since the recording itself expires with your plan and the sentence does not.

What the sheet answers that the platform will not

New names by quarter is the chart worth building, because discovery is what this source does better than the alternatives and nothing in the interface tracks it. Plot how many previously unseen rivals appeared each quarter and how many you promoted into your tracked set. A number that stays flat at zero means either a genuinely settled market or a labelling problem, and the calibration sample tells you which.

Published plans, which is rarer than it sounds

Claap lists its tiers publicly with the caps attached: an entry tier limited to ten recordings per user and a fixed total of minutes, paid tiers with unlimited recordings and a monthly minute allowance, CRM completion and deal insights appearing on the higher plans, and an enterprise tier with single sign-on and provisioning. Prices move and the tier names may change, so read the current page before quoting a figure. The structure is what matters for research planning, and the structure is legible without a sales conversation.

Retention, and why it is the number to check first

Storage retention is one of those published lines: three months on the free tier, two years on the first paid tier, three years above it, unbounded at the top. Nothing else in the competitive method survives being wrong about this. A two-year comparison on a plan holding three months of history is not a difficult analysis, it is an impossible one, and the interface will not warn you. Read the figure, write it into the top of the competitive document, and design the rest of the work inside it.

The stack assumption

Pipeline-linked analysis assumes a particular set of connections. Claap’s own documentation for its connected search notes that its deal tools require a HubSpot connection and that Salesforce is not supported there. For a company standardised elsewhere that is worth establishing before a process depends on it. The competitor labels themselves are unaffected and remain useful on their own, but the step where a mention gets tied to a deal outcome may have to happen in your CRM data rather than in this platform.

Which meetings actually reach the archive

Adoption shapes the corpus more than any feature does. A product taken up team by team covers the meetings those people attended, which makes the archive a description of who adopted it as much as of what buyers said. Before comparing competitive volume between two regions or two segments, check what share of closed opportunities in each has any recording attached. Ten minutes there is what separates a genuine regional difference from an adoption artefact.

Whether a conversation may be recorded is settled under sales call recordings, and nothing here replaces it. Two questions are specific to this platform and both are worth answering deliberately rather than by default.

The first is visibility. A recorder that joins a video call announces itself by being in the participant list, which is a weak notice and still a notice. Recording an in-person meeting from a laptop or a phone announces nothing at all, and the people in the room have no equivalent signal that a recording is running. That difference is not a technicality: it is the whole practical basis on which everyone in most video meetings knows they are being recorded. If your team uses the stand-alone mode, the notice has to be given out loud, at the start, every time, and the fact that the software supports the recording is not an answer to whether it was appropriate to make.

The second is what leaves the workspace. Connecting an external assistant to the archive means transcripts of customer conversations are being sent to a third-party model provider, and that is a processing decision rather than a convenience setting. It deserves the same review any other subprocessor gets: who the provider is, what they retain, whether your customer notices and contracts already cover it. This is easy to skip precisely because setting it up takes two minutes, which is the reason to raise it here rather than assume somebody else did.

The ordinary rules still apply on top of both. Anonymise before anything leaves the platform, so a competitive document carries a segment and a date rather than a person and a company. And do not restate a buyer’s account of a rival’s weaknesses as established fact, because what you have is a report of a sales pitch, and putting it in writing as a claim about a competitor makes it yours.

Three limits, and the first is the one specific to how this platform works rather than to call archives generally.

• Why the label was applied. There is no rule to inspect, so precision is unknown until you sample it yourself and it can drift without notice. This is the direct cost of not having to maintain a list, and the mitigation is periodic calibration rather than a setting.
• Anything older than your retention. The archive ends where the plan says it ends, and on the entry tier that is months. No analysis recovers a recording that has expired, and nothing warns you that the early part of a trend line is missing rather than empty.
• Everything the competitor did. Pricing changes, launches, hiring, funding, new markets. None of it appears until a buyer raises it, if a buyer ever does. Those live in public sources, and the way to read a rival’s own account of themselves is set out under press releases.

One more worth naming because it flatters this source rather than limiting it. A labelled archive is very good at telling you which names circulate and very poor at telling you which buyer would have chosen them. Intent lives in the transcript, in what the buyer said next, and the only way to reach it is to open the recording. Any competitive process built here that does not include somebody reading calls is measuring the labels rather than the market.

Two habits and one date, which is less maintenance than a keyword-based approach needs because there are no lists to keep alive.

The weekly habit is fifteen minutes on the saved view, scanning only for names that have not appeared before. This is the thing this source does better than any alternative, and it is worth almost nothing if the scan happens quarterly, because the value of an early sighting is entirely in how early it was.

The quarterly habit is calibration and promotion. Read a fresh sample of labelled calls to check the labelling still behaves as it did, since model behaviour is not a fixed quantity and the only way to notice a change is to look. Then decide which newly surfaced rivals move into your competitive set with an owner attached, and which ones you are deliberately choosing to ignore. Writing down the ones you ignored is as useful as writing down the ones you adopted.

The date is the retention boundary. Note the month your archive currently reaches back to, and re-note it when the plan changes, because a downgrade quietly removes history that competitive trends were resting on. Two events justify going in off cycle: a rival surfacing in a part of the market where they had never been heard of, and a rep repeating an argument about your product that nobody on the competitive side has seen written down.

There is a specific way this source disappears, and it is not the usual one. The labels are not wrong six months later and the transcripts do not drift. The recordings simply stop existing: retention is a plan setting, the oldest calls fall past it continuously, and the competitive history you were relying on shrinks from the back without any event to notice. A rival first spotted in a call that has since expired leaves a name in your notes and no evidence behind it, and nobody can go back and check what the buyer actually said.

Two responses follow, and only the second one is software. The first is a habit: whatever you found, quote it and date it somewhere outside the archive on the day you found it, because the recording is the perishable item and the sentence is not. The second is holding a record of a competitor that survives whether or not your own meetings keep happening, which is the standing job a competitive intelligence tool performs. Flares maintains a dated history of the public pages a competitor controls, so a name raised by a buyer in March still has evidence behind it in December whatever became of the call it came from. Finding that competitor in the first place is the part no such tool does. A rival nobody has named yet reaches you through a buyer, in a conversation somebody recorded, which is precisely what this archive is for.