The problem
Competitor monitoring is something every client says they want and almost no one does well. The intention is there — track what competitors are doing, stay ahead of their moves, identify gaps in the market. But in practice, competitor monitoring at most agencies amounts to a junior team member occasionally Googling a competitor's name and reporting back whatever they find. It is reactive, inconsistent, and rarely strategic.
The challenge is systematic coverage. A meaningful competitor monitor tracks not just news and press releases, but changes to positioning (how do they describe themselves?), messaging shifts (what problems are they now claiming to solve?), content strategy (what are they publishing and what is performing?), product or service announcements, pricing changes, new campaigns, and social media activity. Doing all of this manually for five or six competitors across multiple client accounts is simply not practical without dedicated resource.
There is also the analysis gap. Even when agencies collect competitor information, the raw observations rarely get translated into strategic implications. Knowing that a competitor changed their homepage headline is interesting. Understanding what that change signals about their strategic direction — and what your client should do in response — is valuable. AI excels at both the collection and the analysis layer, making it possible to deliver genuinely useful competitive intelligence as a repeatable agency service rather than an occasional ad hoc exercise.
The system
Step 1: Define the competitor set and monitor scope
Start with a scoping conversation with the client. Establish: which competitors to monitor (typically three to six), which aspects of their activity matter most (positioning, content, paid advertising, PR, social media, product/service changes), and how frequently to report (monthly is standard; fortnightly for more dynamic markets).
Document this in a competitor monitoring brief in Notion. It becomes the brief you work from each cycle and the record of what was agreed with the client.
Step 2: Run structured competitor research (Perplexity)
At the start of each monitoring cycle, use Perplexity to run a structured research pass on each competitor. Perplexity is ideal for this because it synthesises recent information from multiple sources and surfaces things that a manual Google search might miss.
For each competitor, run the following searches:
"[Competitor name] news and announcements [month year]" "[Competitor name] new campaigns or marketing activity" "[Competitor name] product launches or service changes" "[Competitor name] social media or content activity"
For each search, copy the relevant findings into a Notion page for the cycle. Focus on what has changed since the last cycle rather than background information you already know.
Step 3: Capture website and messaging changes (manual + Claude)
Visit each competitor's homepage, key landing pages, and about page. Screenshot any significant changes from last cycle. If you track website changes regularly, tools like Visualping or ChangeTower can alert you to page updates automatically.
Paste any changed copy into Claude for analysis:
"Here is the previous version of [competitor name]'s homepage headline and value proposition: [paste old copy]. Here is the new version: [paste new copy]. What strategic shift does this change suggest? What audience or positioning problem might they be trying to solve? What does this imply about their direction, and is there anything here that [client name] should be aware of or respond to?"
This analysis takes two minutes per competitor and turns a raw observation into an insight.
Step 4: Analyse their content strategy (Perplexity + Claude)
Review each competitor's blog, LinkedIn, and any other active content channels. Look for: new content themes they are focusing on, content formats they have adopted or abandoned, topics they are ranking for in search, and posts that are getting high engagement.
Feed your observations into Claude:
"Here are my observations about [competitor name]'s content activity over the last month: [paste notes]. Analyse this and tell me: what topics or messages are they prioritising? What audience segment does this content seem aimed at? Are there gaps or weaknesses in their content strategy that [client name] could exploit? What one or two actions would you recommend [client name] consider in response?"
Step 5: Write the monitoring report (Claude + Notion AI)
Consolidate all your research and analysis into a monthly competitor monitoring report. Use Claude to write the narrative:
"Write a monthly competitor monitoring report for [client name]. The competitors monitored are [list]. Here are the key findings for each competitor this month: [paste findings]. Write the report in the following format: 1) Executive summary (three to four sentences on the most important developments this month). 2) Competitor-by-competitor summary (one to two paragraphs each, covering what changed and what it means). 3) Strategic implications (what should [client name] know or do differently based on what competitors are doing?). 4) Opportunities identified (any gaps in the competitive landscape the client could move into). Tone: analytical and direct. UK English."
Step 6: Automate the research triggers (Zapier)
Set up Zapier to monitor Google Alerts for each competitor and deliver a weekly digest to a dedicated Notion page. This passive layer catches press mentions, news stories, and new content between your active research sprints — ensuring nothing significant is missed between monthly monitoring cycles.
Configure alerts for: competitor brand name, competitor CEO name, competitor product names, and key brand taglines.
The results
Before implementing this workflow, competitor monitoring at most agencies was either a two to three hour manual exercise producing a thin summary, or it simply did not happen consistently. Clients received inconsistent intelligence that they struggled to act on.
With this system, each monthly monitoring cycle takes 90 to 120 minutes per client: 30 minutes of Perplexity research, 20 minutes of website review and Claude analysis, 20 minutes of content analysis, and 20 to 30 minutes of report writing. The quality of insight improves significantly because the AI analysis step consistently extracts strategic implications rather than just observations.
Agencies that offer competitor monitoring as a formal service line report that it becomes one of the highest-perceived-value elements of their retainer — clients frequently cite the monitoring report as proof that the agency is thinking strategically about their business, not just executing tasks.