Workflow
How to build a weekly competitor monitoring habit
A simple weekly routine for tracking competitor websites, ads, SEO pages, pricing, messaging, and offer changes with AI.
Summary answer
The answer in one minute
A weekly competitor monitoring habit should be small enough to repeat. Pick a short competitor list, collect the same source types every week, ask AI to summarize what changed and what still needs checking, then turn only meaningful changes into tasks.
Key takeaways
What you need to remember
- Monitor the same sources, or you will confuse change with noise.
- Weekly notes should produce actions only when something matters.
- The routine works best when you reuse the same prompt and report structure.
When to use it
Use this when the decision depends on competitor evidence
- You want competitor awareness without random browsing.
- You report changes to a founder, client, or marketing team.
- You need to watch pricing, messaging, ads, SEO pages, or offers over time.
Before AI
Collect these sources before you ask AI
- Competitor list and priority level.
- Source checklist for each competitor.
- Last week's notes.
- This week's source notes.
- The threshold for action.
Prompt
Turn competitor notes into a strategy report
You are helping me turn competitor research into a strategy report.
My company: {{my_company}}
Competitor or competitor set: {{competitor}}
Category: {{category}}
Decision I need to support: {{decision}}
Research notes:
{{sources}}
Build a report outline with:
1. Executive summary.
2. Competitor snapshot.
3. Website analysis.
4. SEO analysis.
5. Ad analysis.
6. Pricing analysis.
7. Messaging analysis.
8. Positioning map.
9. Opportunities.
10. Risks.
11. Recommended next moves.
12. Verification notes.
For each section, include the point, evidence, confidence level, and what to verify next.
- Use the source set to build tables, charts, or report sections when that makes the decision easier to review.
- Use any provided URLs, files, screenshots, exports, or connected tool outputs before analyzing.
- Cite the source, export, tool, or URL behind any claim that affects the decision. Edit the prompt first if needed. ChatGPT and Claude open prefilled; Gemini opens with the prompt copied.
Variables
Replace these fields before you run the prompt
| Variable | What it means | Example |
|---|---|---|
{{my_company}} Required | My company The company, product, store, or service you are comparing against the competitor. | A DTC skincare brand selling refillable face wash |
{{competitor}} Required | Competitor set One competitor or a short list of competitors. | Brand X |
{{category}} Required | Market or category The buying context. This helps the AI avoid comparing the wrong kind of business. | Premium skincare, France and UK |
{{sources}} Required | Sources and retrieval targets Paste collected sources, exports, screenshots, notes, URLs to check, or the MCP/tool datasets the AI should use. | Homepage copy, pricing page, top 5 ads, title tags, Semrush export, Ahrefs export, Similarweb notes, Panoramata campaign examples |
{{decision}} Required | Decision to support The action you need to take after the analysis. | Rewrite our landing page hero and offer comparison table |
Example
Use this example to match the right level of detail
Source notes you paste into AI
My company: ecommerce email agency
Competitors: 5 fictional agencies
Category: lifecycle marketing services
Sources: this week's homepage, ad, pricing, and SEO notes
Decision: decide whether any change needs action What a useful answer should look like
Fictional example output
Meaningful change:
Two agencies added fixed-price audit offers this week.
Why it matters:
The category may be making the first buying step smaller.
Action:
Review whether our own discovery offer is too vague.
No action:
One new blog post from Competitor C does not affect our current priorities. Steps
Follow these steps before you make a decision
- 1
Pick the watchlist
Start with 5 to 10 competitors. More than that becomes messy fast.
- 2
Choose source types
Use the same website, ad, SEO, pricing, and messaging checks each week.
- 3
Log changes only
Capture what changed, what stayed the same, and what needs checking.
- 4
Ask AI for a change summary
Have it compare this week to last week and label confidence.
- 5
Turn changes into tasks
Only create work when the change supports a real decision.
Decision rule
Turn the AI answer into learn, test, ignore, or check
| Bucket | Use it when | Next action |
|---|---|---|
| Learn | The competitor pattern is clear and fits your audience. | Write down the principle, not the exact wording. |
| Test | The idea could improve your page, ad, SEO page, pricing, or offer. | Turn it into one small experiment with your own proof. |
| Ignore | The competitor move does not fit your product, market, or constraints. | Keep it out of the report so it does not distract the team. |
| Check | The answer includes pricing, ranking, ad, traffic, review, or performance claims. | Verify the source before anyone acts on it. |
Mistakes
Avoid these research mistakes
- Monitoring everything once and nothing consistently.
- Sending weekly reports with no decision or action.
- Treating small copy changes as strategic shifts.
Verification
Check the answer before you use it
- Is the competitor list stable?
- Are the same source types checked each week?
- Are source dates recorded?
- Does the summary separate change from interpretation?
- Did you create fewer, better tasks?
Source notes
Keep this evidence beside the answer
This page does not contain live competitor findings. For real work, keep URLs, screenshots, dates checked, and exports next to each finding.
What you should do next
Do this next
- Create a competitor research brief.
- Choose your weekly source checklist.
- Reuse the report outline prompt every week.