~ / startup analyses / What PMMs Actually Say About Competitive Intelligence: Slack Analysis


What PMMs Actually Say About Competitive Intelligence: Slack Analysis

Analysis of 106 real messages from the Product Marketing Alliance Slack community's competitive intelligence channel, spanning September 2024 to March 2026. These are PMMs, CI leads, and product marketers talking to each other -- unfiltered, not for public consumption. Includes a breakdown of recurring themes, verbatim signal quotes, what they're asking for that doesn't exist, and product ideas derived directly from the pain points.


2. 1. Who Is In This Community

The HAR file captures the Product Marketing Alliance's competitive intelligence Slack channel ("product-marketing-all.slack.com"). 144 users appear in the user data. Among the identifiable ones:

NameRole / Company
Mindy RegnellHead of Market Intelligence, Klaviyo
Nishant JohnPMM, Research and Competitive Intel (B2B and B2C)
Sabrina DonatelliPrincipal, Product Marketing / Market Intelligence
Jin BaikDirector of GTM, Rippling
Jeff RezabekDirector of PMM, Workyard
Arnav SinghFormer PMM, Competitive Intelligence at (large B2B SaaS)
Victoria SakalSr Dir Growth and Product Strategy
Vanessa SorensonDirector of Product Marketing
Ryan Paul GibsonB2B qualitative research specialist
Laurent BillonVP Product
Nate AndorskyFounder of CompetitorIQ
Thomas ParkerSolo PMM at B2B loyalty tech company
April SamuelsonSenior PMM at Partnerstack
Jason BohnertPMM, Simpro Group
Inbar TropenPMM at Series B startup

The channel is moderated by the PMA/CIA (Competitive Intelligence Alliance) team. Community posts range from solo PMMs figuring out CI from scratch to head-of-function people at established companies sharing best practices. The mix matters: the same tool needs to serve someone building their first battlecard and someone running a 5-person CI team at Klaviyo.


3. 2. The Six Recurring Themes

Theme 1: CI is too manual and nobody has time for it

This is the dominant complaint, mentioned explicitly or implicitly in roughly 40% of messages. The specific shapes of the problem:

  • Battlecards built once, never updated, reps stop trusting them
  • One PMM wearing many hats -- CI is a side project, not a dedicated function
  • Excel sheets with tabs for SWOT, messaging, marketing, features, etc. becoming unmanageable
  • Manual news aggregation failing -- too much noise, too little signal
  • No time to do primary research (customer interviews, win/loss calls) because secondary monitoring already consumes all available hours

Theme 2: Win/loss is the thing everyone wants but few have built

Win/loss comes up constantly -- both as aspiration ("I want to start a win/loss program") and as gap ("we know we need this but haven't done it"). The sub-questions:

  • How to interview customers who churned without it feeling adversarial
  • How to get sales to log loss reasons in CRM consistently (they don't)
  • Which vendors are worth it (Clozd mentioned positively by Mindy Regnell at Klaviyo; agencies wanted for DACH/EU)
  • What to do with the data once you have it -- closing the loop back to battlecards is the hard part

Theme 3: Battlecard format wars

Multiple threads debating what battlecards should actually look like. Recurring disagreements:

  • SWOT vs. non-SWOT format (SWOT criticized for making teams focus on the competitor rather than their own strengths)
  • Long detailed battlecard vs. short punchy one (Mindy Regnell at Klaviyo argues battlecards should be long if competitor-specific; short for category-level cards)
  • Feature comparison table vs. narrative positioning
  • Internal-only vs. customer-facing (Vanessa Sorenson: "I'm highly against customer-facing CI sheets -- you're handing competitors your objection handling playbook")
  • Static PDF vs. in-workflow tool

Theme 4: Tool cost and complexity are blocking adoption

Klue and Crayon are known but considered expensive. Kompyte is mentioned as the alternative. But the questions keep coming: DIY Zapier, Google Alerts, AI tools. The tell: people who know the category are still asking for cheaper alternatives in 2026. That's not a solved problem.

Theme 5: AI is being used ad hoc but without a system

ChatGPT for competitive research comes up repeatedly, but framed as "I'm doing this informally, does anyone have good prompts?" -- not "we have an AI-powered CI system." The gap: AI is being used as a search engine replacement, not as an integrated part of a CI workflow. Nobody seems to have figured out how to use AI for CI in a repeatable, shareable, team-level way.

Theme 6: Primary research and mystery shopping are sought but hard to access

Multiple requests for:

  • Mystery shopping vendors for B2B SaaS (specifically EU/DACH)
  • How to get demos from competitors ethically
  • "Secret shopping" partners
  • Expert networks and qualitative research panels
  • Non-obvious competitive signals (job descriptions, LinkedIn, niche forums)

This is a category almost no tool serves. Everyone does secondary monitoring (website changes, pricing pages, press releases). Primary intelligence (what is it like to buy from your competitor? what does their sales deck look like?) is done manually, inconsistently, or not at all.


4. 3. Verbatim Signal Quotes

Direct quotes, lightly edited for readability. These are the clearest expressions of pain from actual practitioners:

QuoteWhoSignal
"Has anyone found good tools for basic competitor monitoring and web scraping that is deeply integrated with Slack? We won't have budget or headcount for a proper CI tool until next year."Sonia Moaiery, Oct 2024Budget-constrained teams want a lightweight, Slack-native solution before they can justify a full CI platform. This is the gateway drug play.
"Has anyone ever used Kompyte? Klue is a bit out of my company's budget."Tyler Tucker, Oct 2024The Klue pricing gap is real. People name Klue as aspirational but can't afford it. They're looking for step-down alternatives.
"Has anyone been using ChatGPT for competitive intel? What are your go-to prompts? We were exploring more robust and expensive tools but I'm interested to hear how other PMMs are leveraging AI for this."Erin Lehmann, Feb 2025AI as CI tool is already happening informally. Nobody has productized the prompts and made it repeatable at a team level.
"Has anyone built any automation for competition monitoring? Like Zapier to monitor your competitors across website updates, social media, PR mentions and send it to a Slack channel? I tried this last year and couldn't get it to work well."S (Product Marketer), Jun 2025DIY automation is tried and fails. This is an explicit product request: "I want competitor monitoring that works reliably in Slack." The person tried to build it themselves and couldn't.
"I've been tasked with creating battlecards and conducting competitive intel. I'm a growth marketer and fairly new to this. Any recommendations? I'm not even really sure where to start."Joshua Joseph, Jul 2025CI is being handed to people without CI backgrounds. There's a need for guided onboarding: "CI for people who've never done CI."
"Curious if anyone has left using a CI tool like Crayon or Klue to replace with AI or custom agents to carry similar feature functions."Jonathan Rogers, Sep 2025People are already asking whether AI agents can replace Klue/Crayon. The answer is not yet, but the question signals that the category is disruption-ready.
"Curious if anyone has discovered non-obvious sources for competitive intel. I've started extracting key insights from job descriptions -- a lot of gold in there. Any other places I should look where most CI programs don't look?"Nate Andorsky (Founder, CompetitorIQ), Sep 2025A founder in the CI space is openly asking this question. Even builders in the category don't have a complete answer. Non-obvious signal sources are under-explored.
"How do you manage competitors writing comparison articles that are just... wrong? Is writing a teardown of what they got wrong a decent solution?"Corrie Hermans, Oct 2025Competitors publishing false comparisons is a real problem. No tool helps you monitor or respond to this. It's a gap between CI monitoring and content response.
"Let's be honest -- traditional battlecards are broken. They're static, manual, and usually outdated before anyone even opens them."PMA Slack admin, Nov 2025Even the community organizers are saying the core deliverable of CI (the battlecard) is broken in its current form.
"Has anyone tried building out AI Optimized Comparison pages?" [for search visibility in LLM responses]Shakshy Seth, Aug 2025AI search visibility (how ChatGPT/Gemini describe you vs. competitors) is on practitioners' minds. No tool serves this yet.
"I'm at a Series B startup and we're currently exploring CI tools to cut down on the manual lift of keeping competitive intel up to date. If you've used Crayon, Klue, or any other vendors, I'd love to hear your experience -- especially around ease of use and ROI justification."Inbar Tropen, Jun 2025Series B is the sweet spot: big enough to want a tool, small enough that ROI justification is required. The question is not "which Tier 1 tool" but "can I justify any tool at all."
"The problem is my manager wants short battlecards but I feel like that leaves out important context."Thomas Parker, Mar 2026Internal stakeholder alignment on CI format is a recurring blocker. The tool needs to support multiple formats for different audiences, not a single template.
"Has anyone found a good AI tool where you could place your competitive intel resources and allow it to be queried by the sales team -- basically creating a 'CI assistant'?"Renee Graff, Jun 2025This is literally a product request. A RAG system over competitive intelligence data, queryable by sales reps. Several people responded positively. Nobody mentioned an existing tool that does this well.
"Sales keeps asking me for one sheets against competitors to send to clients. I am highly against this -- it's basically handing a sheet to your competitors about how you objection handle."Vanessa Sorenson, Feb 2025Customer-facing CI is a category of its own. The tension between what sales wants (sendable assets) and what PMM wants (not arming competitors) is unresolved. No tool addresses this.

5. 4. What Tools They Mention

ToolMentionsSentimentContext
Klue4Aspirational / too expensive"Klue is out of my budget." "If you've used Klue, what's the ROI?" Always mentioned as the benchmark but not always the choice.
Crayon3Known / same tier as KlueMentioned alongside Klue as evaluation options. No strong positive or negative sentiment. Just "the other big one."
Kompyte1Neutral (asking if it's good)"Has anyone used Kompyte? Klue is too expensive." Direct question, no answers captured in this data.
Google Alerts1Positive (as free baseline)Recommended for "small scale tools" alongside talking to sellers. Free, good enough for monitoring press mentions.
ChatGPT2Used informally / prompts wanted"What are your go-to ChatGPT prompts for CI?" Nobody has a systematic answer.
Clozd1Positive recommendationMindy Regnell (Klaviyo): "I've used Clozd. I'm a fan." Specifically for win/loss analysis.
Zapier1Failed DIY attempt"I tried Zapier for competitor monitoring last year and couldn't get it to work well." The DIY route failed.
Clay1Desired / not yet found equivalent"I would love something similar to Clay but for scraping LinkedIn content for CI."
Miamar.io1Founder promoting own tool"Feel free to play with miamar.io/arena/demo.html -- I think it will answer your needs." Founder in the channel cold-pitching. Interesting signal that new CI tools are being built and actively looking for early adopters in these communities.

The most striking thing: in 106 messages across 18 months, only two tools are mentioned with any positive sentiment (Clozd for win/loss, Google Alerts for free monitoring). Klue and Crayon are known but priced out. Everything else is DIY, manual, or "does anyone know something?"


6. 5. The AI Question

AI comes up in five distinct contexts in this community. Each is a product signal:

AI Use CaseHow It's Being UsedGap
ChatGPT as CI researcherIndividual PMMs asking ChatGPT to summarize competitor information, find pricing, generate battlecard drafts. Ad hoc, not systematic.No shared prompt library. No team-level repeatability. No way to know if the output is current or hallucinated.
AI-native battlecard automationOne workshop mentioned in November 2025: "how her team built an AI-automated battlecard system -- no more static, out-of-date battlecards." But this is a one-off internal build, not a product.Teams are building their own LLM-powered battlecard pipelines internally. Nobody is selling this as a product at an accessible price point.
AI replacing Klue/Crayon"Curious if anyone has left using a CI tool like Crayon or Klue to replace with AI or custom agents." September 2025. This is the disruption question.Nobody answered with "yes and here's how." The question remains open. The space for an AI-native CI tool is explicitly in the community's mind.
CI RAG assistant for sales"Has anyone found a good AI tool where you could place your competitive intel resources and allow it to be queried by the sales team?" June 2025. Multiple positive responses to the idea.No specific tool recommended. Notion AI and ChatGPT custom GPTs mentioned as partial solutions, but not designed for CI specifically.
AI search visibility (AEO)"Has anyone tried building out AI Optimized Comparison pages?" August 2025. References how LLMs describe competitors differently.Completely unserved. No tool tracks how ChatGPT, Gemini, or Perplexity describe your company vs. competitors. This is a 2026 emerging need.

7. 6. What They're Asking For That Doesn't Exist

These are explicit requests that went unanswered or received weak answers. Each is a product gap:

RequestWho AskedResponse Quality
Free or cheap competitor news aggregator that compiles by competitor into a doc, filterable by keywordSteve Nunes, Mar 2025No tool recommended. Google Alerts mentioned as partial. The request was for something that aggregates, classifies, and delivers by competitor -- not just a generic news feed.
Lightweight Slack-native competitor monitoring for teams without CI budgetSonia Moaiery, Oct 2024No specific tool recommended. The thread went quiet. This is the gap below Kompyte.
AI tool to query all your CI resources -- a "CI assistant" for the sales teamRenee Graff, Jun 2025Positive interest from the community but no specific product recommended. "Build it in Notion" was the closest suggestion.
Mystery shopping vendor for B2B SaaS, EU/DACH regionJan-Eike Rosenthal (Apr 2025), Sabrina Donatelli (Oct 2025), Ahmet Ozcelik (Nov 2024)Three separate requests over 12 months. Nobody gave a specific vendor recommendation that satisfied the requester. This is a persistent unmet need, especially in Europe.
CI template for indirect competitorsAnonymous, Aug 2025No template shared. "Indirect competitors" is harder to frame in standard battlecard format -- nobody has built templates for this case.
Gantt chart or milestone tracker for building a CI program from scratchAnonymous, Aug 2025No example shared. People who inherit a CI mandate have no roadmap for how to build the function. This is an educational/consulting gap.
LinkedIn scraping tool for CI (Clay-like but for competitive research)Katherine Millar, Sep 2025No tool recommended. LinkedIn protections make this technically hard. Clay exists for sales prospecting but not for CI use cases specifically.
Customer-facing competitive comparison that protects against arming competitorsShakshy Seth, Vanessa SorensonMultiple takes on format but no tool that helps create "safe" customer-facing competitive content. The format question (how to write it) is answered; the tooling question (how to distribute it safely) is not.

8. 7. Product Ideas From the Pain Points

Each idea below is directly derived from a pattern in the messages. Not hypothetical -- these are literal requests from the community that went unanswered.

Idea 1: Slack-Native Competitor Digest (the Gateway Drug)

The clearest pattern in the early messages (Sep-Oct 2024): teams with no CI budget, no headcount, and no tool want something that monitors competitors and delivers a daily or weekly digest in Slack. Not a full CI platform. Just: "watch these 5 URLs and these 5 company names, send me a digest every Monday morning."

This is the product below Kompyte. It's not battlecards, not win/loss, not AI insights. It's basic monitoring with a beautiful Slack integration. Priced at $29-$49/month. Free trial with 3 competitors.

The GTM is straightforward: launch as a Slack app, grow through virality (when the digest hits a Slack channel, the team lead asks "what is that and how do I get it"). The upsell is the full CI platform when the team grows and needs more. This is the Hotmail footerof the CI market -- every digest is branded, every digest expands the user base.

What makes this different from Changedetection.io: AI interpretation. Not "this page changed" but "Competitor X updated their pricing page -- they added a new $0 free tier with usage limits." The meaning, not the change.

Idea 2: CI RAG Assistant ("Ask Your Competitive Data")

Renee Graff's request in June 2025 is exact: "Has anyone found a good AI tool where you could place your competitive intel resources and allow it to be queried by the sales team?"

Build this. A tool where you upload your battlecards, win/loss transcripts, competitor pricing screenshots, and competitor blog posts. Then your sales reps can type "what does Competitor X say about our integration story?" and get an answer grounded in your actual CI data, not a hallucination.

The technical stack: document ingestion pipeline (PDF, Notion, Google Docs, Slack exports), vector embedding, RAG over the indexed corpus, answer with source citations. The product UX: a Slack bot that sales reps can query in natural language.

This is adjacent to what Klue's Compete Agent is building, but Klue's version requires a $20K+/year commitment. This version could be a standalone $299/month product that works with any existing CI data, from any source, without requiring you to switch your whole CI stack.

Idea 3: Mystery Shopping Marketplace for B2B SaaS

Three separate requests over 12 months for "a mystery shopping vendor for B2B SaaS, especially EU/DACH." None were answered satisfyingly.

The product: a marketplace of vetted contractors who will go through competitor demo flows, request pricing, capture sales decks, and report back in a structured format. The deliverable: a structured report on the competitor's sales experience -- what the demo looks like, what the pricing deck says, what the objection handling is.

This is a services-led business that can become a SaaS. Start by doing the mystery shopping yourself (or with a small team of contractors). Charge $2K-$5K per competitor per quarter. The SaaS layer comes later: a platform where you commission mystery shops, receive structured reports, and track changes over time.

EU/DACH is a specific underserved region. US-based CI firms (Win/Loss Inc., Clozd) don't have strong EU coverage. A EU-native mystery shopping service for B2B SaaS is a real gap.

Idea 4: "CI From Scratch" Onboarding Product

Joshua Joseph in July 2025: "I've been tasked with creating battlecards and competitive intel. I'm a growth marketer and fairly new to this. Any recommendations? I'm not even sure where to start."

This comes up repeatedly in different forms. People are handed a CI mandate without CI experience. Nobody has built the product for them.

The product: a guided CI program builder. Step 1: who are your competitors? Step 2: which data sources matter for your category? Step 3: here's a template battlecard pre-populated with AI-gathered information for each competitor you named. Step 4: here's a 30-day CI program calendar. Step 5: here's how to present findings to your sales team.

This is not a tool for the Mindy Regnells of the world (Head of Market Intelligence at Klaviyo). It's for the Joshua Josephs -- growth marketers, first-time PMMs, solo-PMM startups. Priced at $49-$99/month. Could be a Notion template that graduated into a product.

Idea 5: Competitor False Claims Monitor and Response Toolkit

Corrie Hermans in October 2025: "How do you manage competitors writing comparison articles that are just... wrong?" Beth Winters' response: "Cease and desist letters are a good option if it's blatantly false."

This is a completely unserved problem. Competitors publish SEO comparison pages ("[Competitor] vs. [You]") that misrepresent your product. Nobody tracks these systematically. Nobody has a workflow for responding.

The product: monitor competitor websites for any mention of your company name. When a new comparison page appears, alert you immediately. Classify the page (fair comparison vs. misleading vs. factually wrong). Provide a response toolkit: a template for a "corrective comparison" page, a template cease-and-desist, and an SEO strategy for outranking the competitor's comparison page.

The market is every company that has competitors aggressive enough to publish SEO comparisons. That's most of SaaS. This is a feature in a full CI platform, but it could also be a standalone tool at $49-$99/month.

Idea 6: AI Search Visibility Tracker for Competitive Positioning

Shakshy Seth in August 2025: "Has anyone tried building out AI Optimized Comparison pages?" The implicit question: how do LLMs describe us vs. our competitors, and how do we influence that?

Build a tool that queries ChatGPT, Gemini, Claude, and Perplexity weekly with competitive positioning questions ("What is the best CRM for B2B SaaS companies?", "How does [You] compare to [Competitor X]?") and tracks how each model's answers change over time. Delivers a weekly report: "This week, ChatGPT added [Competitor X] as a recommendation in 3 prompts where you were previously alone."

This is the AEO (Answer Engine Optimization) angle applied to competitive intelligence. AEO Engine has $70K MRR in the general AEO space. A version specifically for competitive positioning tracking doesn't exist. It should.

Idea 7: Non-Obvious Signal Aggregator

Nate Andorsky (founder of CompetitorIQ, in the community) in September 2025: "I've started extracting key insights from job descriptions -- a lot of gold in there. Any other places I should look where most CI programs don't look?"

The idea: a tool that monitors non-obvious competitive signals. Job descriptions (what technology are they hiring for, what skills, what team size hints, what strategic initiatives). Glassdoor reviews (what's breaking down internally, what employees complain about). App store reviews (what customers hate about competitors' products). Reddit and niche community mentions. Patent filings. Conference speaker submissions.

None of the major CI tools do this well. Crayon and Klue cover the obvious surfaces (website, blog, press, pricing page, social). The non-obvious surfaces are where the most actionable intelligence lives. A tool focused specifically on these signals -- and delivering them in a structured format -- would fill a genuine gap.

Ranking the Ideas

IdeaBuild SpeedRevenue PotentialMarket EvidencePriority
Slack-Native Digest (Gateway Drug)Fast (4-6 weeks)Medium ($29-$49/month, volume play)Explicit request, multiple times, no tool recommended1
CI RAG AssistantMedium (8-12 weeks)High ($299/month)Literal product request with community enthusiasm2
Non-Obvious Signal AggregatorMedium (8-10 weeks)High ($199-$499/month)A CI category founder is asking this question in public3
AI Search Visibility TrackerFast (4-6 weeks)Medium-High ($99-$199/month)Emerging awareness, first mover opportunity4
CI From Scratch OnboardingFast (2-4 weeks as template, more as product)Low-Medium ($49-$99/month)Recurring pain, addressed by content today not product5
False Claims MonitorMedium (6-8 weeks)Medium ($49-$99/month)Clear pain, niche market6
Mystery Shopping MarketplaceSlow (services-first, 3-6 months)High ($2K-$5K per engagement)Three explicit EU requests in 12 months, no answer7

If building a full competitive intelligence platform commercially open source (as covered in the main CI market analysis), the Slack digest is the OSS entry point -- free, viral, the "made with Changedetection.io but smarter" version. The CI RAG assistant is the cloud-only upsell. The non-obvious signal aggregator is the differentiator that no Klue/Crayon competitor has. In that sequence: OSS digest gets community traction, cloud RAG assistant generates MRR, signal aggregator builds the moat.