With DIY research
- Gather current sources and locate earlier versions you saved.
- Reconstruct the earlier state and verify the comparison.
- Decide whether the battlecard or sales brief needs updating.
Dossyr vs doing it yourself
You can track competitors yourself with Claude or ChatGPT. Here is what that costs you.
A good research prompt can get you a useful first answer. Repeating the research and reconstructing what changed is recurring work. Dossyr maintains a cited record of the pages you track. Use your own assumptions below to compare the cost.
5hours in year one
At $75/hr, saving 5 hours in year one covers the subscription and setup. That’s about 6 minutes a week. After year one, saving 4 hours a year covers the subscription.
ROI calculator
Your time, your cadence
Dossyr saves you $1,901 in year one.
| Per year | Year 1 | After |
|---|---|---|
| Your DIY hours | 30.3 h | 30.3 h |
| DIY cost (time + tools) | $2,275 | $2,275 |
| Dossyr cost (price + setup) | $374 | $299 |
| Return on Dossyr | +508% | +661% |
Dossyr cost is $299 a year plus an estimated hour to set up in year one. Reading results, interpreting implications, and verifying claims are excluded from both sides.
A maintained evidence record
Keep the evidence. Ask your AI what it means.
A saved summary is not a saved page version. Dossyr monitors the public competitor pages you choose, retains the versions it successfully fetches, and keeps findings tied to their sources. Start from that record instead of reconstructing the earlier state from a fresh search or last week’s summary.
The record remains useful for recurring reviews, follow-up questions, and as a reference when someone new takes over the work.
Use Dossyr’s cited findings and comparisons directly, or let your AI access the record through a supported MCP client. For non-Enterprise customers, ChatGPT MCP access requires Work or Codex.
From evidence to a decision
Know what to review before you update the battlecard.
The question is the same either way: “What changed in this competitor’s pricing or positioning this week, and what should I review in our battlecard?”
With Dossyr
- Start with monitored pages, captured versions, and cited findings.
- Review the change, its significance, and any source gaps.
- Decide whether the battlecard or sales brief needs updating.
Dossyr detects a pricing-page change → you review the evidence and significance → you update the battlecard or sales briefing. The evidence supports your judgment; it does not replace it.
Refresh a battlecard
Review pricing and positioning evidence before changing the story your sales team uses.
Brief sales or leadership
Prepare a competitor update with evidence that others can open and check.
Inform a strategy discussion
Bring observed changes into product and partnership conversations without treating signals as proof of intent.
Side by side
What you get from each approach
| Question | AI chat with memory | Your own agent | Dossyr |
|---|---|---|---|
| What it stores | Depends on your saved context and workflow | Whatever you build it to save | Each page it fetches |
| “What changed?” is measured against | Your saved context, which may be a prior summary | Your saved copy, if you built diffs | The page as it was |
| Each claim shows | Depends on tools, sources, and prompting | What you prompt for | A quote from the page it came from |
| When a site blocks bots | May rely on older or summarized context unless sources are rechecked | Your fetch fails; you fix it | Retries through a fallback, and shows pages it could not read |
| Works across your AI tools | Depends on the client and how you share context | Only if you centralize it | Supported MCP clients can access your Dossyr record; setup required |
| Upkeep | Your time, every check | Build it, then maintain it | Dossyr maintains the monitoring; you review the findings. |
If you build your own
The model calls are cheap. The upkeep is not.
An agent that checks 15 pages a day costs little to run. Keeping it working is the job.
Bot blocks
Pricing pages are often behind bot protection. New blocks can interrupt collection; your workflow needs failure detection and recovery.
Saved copies and diffs
To know what changed, you have to keep every version and compare them without flagging every ticking counter as news.
One memory for every tool
If your AI tools keep separate context, sharing a record means maintaining a store and connecting the tools that need it.
Keeping it in use
A notes store nothing reads goes stale. Something has to send each session there.
When doing it yourself is the better deal
If you check your competitors a few times a year, DIY research may cost you less than $299 of your time. Try “Quarterly” in the calculator. More frequent research or maintaining your own agent can make Dossyr worthwhile; your time, cadence, and assumptions determine the result.
One plan
$299per year
- 5 competitors
- 15 pages, checked daily
- 25 analyses a month
- Weekly digest of what changed
- Cited side-by-side comparisons
- Read it from supported AI tools over MCP
Private beta. Waitlist is real.
How the calculator works
DIY cost is hours a year times your hourly rate. Chat hours are competitors × minutes per competitor × checks a year; memory removes 2 minutes per check. An agent starts from an estimate of 8 hours to build and 1 hour a month to maintain, plus about $100 a year in model costs; adjust the build and maintenance sliders to match your own experience. Sharing memory across tools adds 6 hours to build and 30 minutes a month. The time inputs and agent assumptions are estimates, not measured performance benchmarks. Adjust the calculator’s controls to match your workflow. The memory discount cannot reduce a check below one minute. Reading results, interpreting implications, and verifying claims are excluded from both approaches. Break-even is the annual price divided by your hourly rate, plus the estimated setup hour in year one.