Always-on competitor research agent
Tryozi's research agent turns market moves into a ready-to-review brief.
A research agent monitors competitor messaging, offers and page changes, delivering a source-linked feed of what actually changed.
The impact
12 hrs
of research time returned each week
Always-on competitor research agent
Case study facts
- Industry
- Telehealth
- Team
- Marketing
- Systems connected
- 2
- Time to live
- 1 week
- Engagement
- AI implementation
The impact
Results for the team
- of research time returned each week
- 12 hrs
- of research time returned each week
- Automated monitoring, comparison and summarization reduce the research hours the team spends on recurring competitor scans each week.
- more sources tracked consistently
- 6×
- more sources tracked consistently
- The agent consistently tracks more sources in the approved watchlist, retaining links to the material behind each finding.
- from observed change to research brief
- 24 hrs
- from observed change to research brief
- The turnaround measures the time from an observed competitor change to a research brief with sources and context attached.
Situation
Market research aged between reviews.
Periodic research creates a snapshot that is quickly out of date. Repeating the same manual browsing can bury a meaningful positioning change under cosmetic page updates.
Challenge
Meaningful changes were buried in noise.
The team needed to separate positioning and offer changes from cosmetic edits, then inspect the evidence behind each finding. Observed competitor messaging also had to stay separate from assumptions about its performance.
What we built
A source-linked feed of market changes.
The research agent revisits an approved set of public sources and compares new observations with prior captures. It groups changes by message, offer and journey, then prepares a brief with citations and observation dates.
Interpretation stays separate from the observed page text; competitor claims are evidence of their messaging, not proof that their products perform as advertised.
- 01
Define the watchlist
Set the competitors, public sources and research questions that matter.
- 02
Capture every source
- Web monitoring
The agent stores each observed page with its observation date.
- 03
Detect real changes
Meaningful copy or offer edits are separated from cosmetic noise.
- 04
Classify the signal
- Text classification
Findings are grouped by positioning, offer or customer journey.
- 05
Compile the brief
Each observation links to its source and prior context.
- 06
Review implications
The team decides which findings merit deeper research or action.
Evals and guardrails
Detect real changes. Support every finding.
Change-detection evals
Measure missed changes and false alerts against reviewer-checked page edits. Test rotating page content, missing pages and unchanged offers.
Evidence evals
Check summary claims and citations against saved sources. Test whether instructions hidden in fetched pages can mislead the agent.
Guardrails
Fetch only approved sources. Ignore instructions within page content, verify citations and retain capture dates with each finding.
Results
Research starts with what changed.
Automated monitoring, comparison and summarization reduce the research hours the team spends on recurring competitor scans each week. The agent consistently tracks more sources in the approved watchlist, retaining links to the material behind each finding.
The turnaround measures the time from an observed competitor change to a research brief with sources and context attached.
- of research time returned each week
- 12 hrsof research time returned each week
- more sources tracked consistently
- 6×more sources tracked consistently
- from observed change to research brief
- 24 hrsfrom observed change to research brief
From Tryozi
“We had tried other partners and nobody could unblock it. Revensi came in, understood the problem quickly, and turned a bottleneck into something that just runs. Total game changer.”
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