Your buyers are weighing building Steve themselves. Here is how, and how you win.

• Nothing runs until someone asks. Competitor changes between questions go unseen, so there are no alerts at all.^[2]
• No steady coverage of sites that block automated reading, such as LinkedIn and G2.^[26]
• Claims in the draft are not checked against a second source, and citations depend on the prompt.^[1]
• No approval step or single current version: each rep's chat produces its own battlecard.^[8]

1. They say

   “We already pay for Claude. It can write a battlecard in minutes.”

   You say

   It can write one. The work is keeping every card true next month. Steve watches competitors between questions, checks each claim against its sources, and puts one approved version in Slack, Teams and Salesforce. Keep Claude for drafting; let Steve hold what reps rely on.^[1][2]

2. They say

   “Claude can read our Gong calls and Drive, so it knows what reps hear.”

   You say

   Only when someone asks, and only for the calls in that chat. Steve reads every call as it lands, pulls out each competitor mention, and ties it to the right battlecard, with a person approving what gets used.^[9]

1. When a competitor changes its homepage on a Tuesday, who finds out, and when?

   Why it works: It shows that the Claude path only knows what someone thought to ask, so changes are found late or not at all.

2. If two reps ask Claude the same question, do they get the same battlecard?

   Why it works: It exposes that there is no single approved version, which is what sales leaders need before a card reaches a buyer.

3. How would you check that every claim in the draft is still true?

   Why it works: It moves the conversation from writing speed to accuracy, where a checked, cited card wins.

When there are one or two competitors, one PMM owns every card, and battlecards are refreshed a few times a year, Claude by itself is a sensible call.

• Alerts are only as reliable as each step: a site redesign or a blocked page stops the digest without anyone noticing.
• Ongoing upkeep of every tool link, owned by an engineer who has other priorities.
• No steady coverage of LinkedIn, G2 or ad libraries, which block automated reading.^[26]
• Sales calls are not linked to battlecards, so what reps hear never reaches the card.^[9]
• Summaries are not checked against a second source before they are posted.^[1]

1. They say

   “Our GTM engineer can set this up in n8n in a couple of days.”

   You say

   Setting it up is the easy part. Ask who fixes it the week a competitor's site changes and the digest goes quiet. Steve is maintained for you, reads calls and Slack as well as the web, and keeps one approved battlecard current instead of posting summaries into a channel.^[2][9]

2. They say

   “There's a free template that already does competitor monitoring.”

   You say

   The template sends a daily report. It does not decide which claims are true, update the card a rep opens, or link a lost deal back to the reason. That last step is where deals are won.^[3][15]

1. Who gets paged when the workflow stops posting, and how would you know it stopped?

   Why it works: Silent failure is the most common way these workflows die; the buyer usually has no answer.

2. How does a competitor objection a rep hears on a call reach the battlecard?

   Why it works: Web-only workflows skip the calls, which is where the most useful competitive signal lives.

3. What happens to the workflow when your GTM engineer moves to another project?

   Why it works: It surfaces the hidden owner cost of every step the engineer built and still maintains.

If you only need a daily digest of a few competitors' public news and a GTM engineer already maintains similar workflows, building it is reasonable.

• Coverage is a snapshot: the report is out of date the day after it is written.
• The PMM's hours: every refresh is a new manual run and rewrite.
• Sales calls reach the card only when someone pastes notes in by hand.^[9]
• No governed version reps can find: the result lives in one person's documents.^[2]

1. They say

   “Deep research gives us a better report than any battlecard tool.”

   You say

   For a one-off report, it may. A rep needs the current answer during the deal, in Slack or Salesforce, not a report from last quarter. Steve keeps the card current between reports and puts it where reps already work.^[2]

1. How old is the battlecard your reps opened this week?

   Why it works: By-hand research ages fast, and most teams do not know when their card was last refreshed.

2. How many hours a month does your PMM spend re-running and rewriting these reports?

   Why it works: It turns a free tool into a real cost the buyer can see: senior time spent on refresh work.

For a single deep-dive before a board meeting or a market entry decision, a deep research report by hand is the right tool.

• Weeks of engineering time before the first card, then permanent upkeep of every data source.
• Still no steady coverage of LinkedIn, G2 or ad libraries without breaking their terms.^[26]
• Claim checking and citations have to be designed and tested from scratch.^[1]
• Approval and distribution to reps is another project on the roadmap.^[8]

1. They say

   “Our AI team can build exactly what we want, with our own deal data.”

   You say

   They can, and it will compete for their time with your core product every quarter. Steve already reads calls, CRM deals and the web, checks claims and routes approvals. Your engineers can spend their weeks on what only your company can build.^[7][9]

2. They say

   “We can't send deal data to an outside vendor.”

   You say

   That is a fair requirement to test. Steve is SOC 2 Type II certified, and you choose which calls and documents it reads. Ask for the security review before deciding the only safe option is to build.^[1]

1. Which roadmap item moves out so your AI engineers can build and run this?

   Why it works: It makes the opportunity cost explicit to the person who owns the engineering plan.

2. How will the system decide a competitor claim is true before a rep repeats it to a buyer?

   Why it works: Claim checking is the hardest part to build well, and most plans leave it out.

3. Who owns it the day after launch?

   Why it works: Engineering-built tools often launch well and then lose their owner; the PMM ends up maintaining them.

When competitive intelligence is itself part of the product you sell, or strict rules forbid any outside vendor, building your own is the right call.

• Answer quality that trails the leading hosted models on long, many-source research.
• Hardware, model updates and every data feed to maintain in-house.
• No steady coverage of sites that block automated reading.^[26]
• No claim checking, approval flow or delivery to reps unless it is built too.^[8]

1. They say

   “Nothing competitive can leave our network.”

   You say

   Competitor intelligence is mostly public data, so start by splitting the two. Steve works from public sources and from only the calls and documents you choose, and it is SOC 2 Type II certified. Ask your security team whether public competitor research needs the same rules as customer data.^[1]

1. Which of the sources you want to watch are private, and which are public competitor pages?

   Why it works: Most of the material is public, which weakens the case for running everything in-house.

2. Who updates the model and the servers when a better open model comes out?

   Why it works: It surfaces the platform work that sits behind a privacy-first plan.

In regulated settings where policy bans cloud AI outright and a platform team already runs local models, a private setup may be the only allowed option.

• The assistant can only answer from what someone has already filed in SharePoint.
• No steady coverage of LinkedIn, G2 or ad libraries.^[26]
• Sales calls are not linked to battlecards unless a developer builds that step.^[9]
• Claims are not checked against sources before a rep sees the answer.^[1]

1. They say

   “We're a Microsoft shop. Copilot is already approved.”

   You say

   Good, keep it. Steve delivers into Teams too. The question is who fills SharePoint with current, checked competitor material for Copilot to answer from. Steve does that part, and you keep Microsoft as the place reps ask.^[2][7]

1. Who keeps the SharePoint competitor folder current today?

   Why it works: Copilot answers from existing files, so a stale folder means confident, stale answers.

2. When the assistant says a competitor lacks a feature, how does a rep see the source?

   Why it works: It tests claim checking and citations, which the Microsoft build does not include out of the box.

If your competitor material is already well kept in SharePoint and reps mainly need search inside Teams, a Copilot Studio assistant is a sound choice.

• A change alert is not an insight: every flagged edit still needs a person to judge and rewrite the card.
• Alert noise: layout tweaks and banners fire as often as real product changes.
• Nothing from sales calls, reviews or LinkedIn reaches the card.^[9][26]
• It stops when the one person who runs it is on leave or changes role.

1. They say

   “A page-change alert tells us everything we need, for free.”

   You say

   It tells you a page moved. Steve tells you what the change means for your deals, updates the battlecard, and adds what reps hear on calls and what buyers say in reviews, which page alerts never see.^[2][9]

1. Of last month's alerts, how many changed what a rep says to a buyer?

   Why it works: It separates noise from signal and shows how much judging still falls on one person.

2. Who runs the monitor when its owner is on holiday?

   Why it works: Single-person tools fail quietly; the buyer usually has no backup.

For tracking a handful of specific pages, such as a competitor's release notes, a page-change monitor is cheap, honest and enough.