AI Research & Competitive Intel Agent
Get research agent spec - just enter topics, sources, output format.
How It Works
Tell it your topics, sources, output format and cadence. This generates a research agent spec the way an experienced automation strategist would build it - a real, usable deliverable, not a generic checklist. The output follows the standard: research-agent spec: scope, source strategy, synthesis/citation rules, frameworks, output cadence, QA. Replace every [[token]] with your specifics and it is ready to implement.
What to Provide
| Input | What to enter |
|---|---|
| Topics | competitor pricing moves, AI regulation news |
| Sources | trade press, SEC filings, competitor blogs |
| Output format | weekly Slack digest + source links |
| Cadence | weekly digest every Friday |
AI Research & Competitive Intel Agent
This is the finished deliverable.
1. Research topics/questions and scope
Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for research topics/questions and scope]]. Base it on your topics and adjust as real cases come in.
Signal of expertise this section should show: Source-credibility tiering and citation discipline.
Mistake this guards against: Uncited synthesis.
2. Source list and credibility tiers
Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for source list and credibility tiers]]. Base it on your topics and adjust as real cases come in.
Signal of expertise this section should show: adversarial verification of claims.
Mistake this guards against: Single-source reliance.
3. Search/retrieval strategy and recency rules
Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for search/retrieval strategy and recency rules]]. Base it on your topics and adjust as real cases come in.
Signal of expertise this section should show: competitive frameworks.
Mistake this guards against: No verification/contradiction handling.
4. Competitive-intel framework
Cover each of these explicitly rather than leaving them implied: [[e.g. SWOT]], [[Porter's]], [[feature]], [[pricing matrix]]. Define [[the specific rule or default for e.g. SWOT]] so nothing is left to guesswork.
Signal of expertise this section should show: change-detection alerting.
Mistake this guards against: Stale data.
5. Synthesis with citations and confidence levels
Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for synthesis with citations and confidence levels]]. Base it on your topics and adjust as real cases come in.
Signal of expertise this section should show: separating fact from inference.
Mistake this guards against: Conflating opinion with fact.
6. Contradiction/verification step
Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for contradiction/verification step]]. Base it on your topics and adjust as real cases come in.
Signal of expertise this section should show: Source-credibility tiering and citation discipline.
Mistake this guards against: Uncited synthesis.
7. Output format and cadence
Cover each of these explicitly rather than leaving them implied: [[brief]], [[dashboard]]. Define [[the specific rule or default for brief]] so nothing is left to guesswork.
Signal of expertise this section should show: adversarial verification of claims.
Mistake this guards against: Single-source reliance.
8. Alerting on changes
Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for alerting on changes]]. Base it on your topics and adjust as real cases come in.
Signal of expertise this section should show: competitive frameworks.
Mistake this guards against: No verification/contradiction handling.
9. Bias and source-diversity controls
Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for bias and source-diversity controls]]. Base it on your topics and adjust as real cases come in.
Signal of expertise this section should show: change-detection alerting.
Mistake this guards against: Stale data.
10. Deliverable templates
Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for deliverable templates]]. Base it on your topics and adjust as real cases come in.
Signal of expertise this section should show: separating fact from inference.
Mistake this guards against: Conflating opinion with fact.
Worked Examples
Example 1 - Competitive intel for a fintech
Inputs: Competitor pricing + product launches, trade press + SEC filings, weekly Slack digest
Result: Weekly digest surfaced a competitor's stealth pricing test 3 weeks before a public announcement.
Example 2 - Policy team tracking AI regulation
Inputs: EU/US regulatory trackers + specialist newsletters, biweekly memo
Result: Structured source-cited memo replaced 6 hours/week of manual reading with a 20-minute review.
Format Checklist
| Element | What good looks like |
|---|---|
| Research topics/questions and scope | Specific and filled in, not left as a placeholder or generic label |
| Source list and credibility tiers | Specific and filled in, not left as a placeholder or generic label |
| Search/retrieval strategy and recency rules | Specific and filled in, not left as a placeholder or generic label |
| Competitive-intel framework | Specific and filled in, not left as a placeholder or generic label |
| Synthesis with citations and confidence levels | Specific and filled in, not left as a placeholder or generic label |
| Contradiction/verification step | Specific and filled in, not left as a placeholder or generic label |
| Output format | Specific and filled in, not left as a placeholder or generic label |
| Alerting on changes | Specific and filled in, not left as a placeholder or generic label |
| Bias and source-diversity controls | Specific and filled in, not left as a placeholder or generic label |
| Deliverable templates | Specific and filled in, not left as a placeholder or generic label |
Common Mistakes to Avoid
- Uncited synthesis.
- Single-source reliance.
- No verification/contradiction handling.
- Stale data.
- Conflating opinion with fact.
Next Steps After You Generate This
Week 1: pilot with a small internal group or a single channel/segment. Week 2: review real output against the format checklist below and fix the top 2-3 gaps. Weeks 3-4: expand scope and set a recurring review cadence so the workflow stays accurate as your data and process change.
This deliverable gives you a working starting point on day one - keep the [[tokens]] current as your process, tools, and volume change.
Illustrative preview - your actual result is built from your inputs.
How it works.
AI Research & Competitive Intel Agent: provide topics, sources, output format, cadence and get a complete research agent spec in minutes - including source strategy, extraction prompts, verification step. Free AI workflow, no signup required to preview.
Get your research agent spec
Research-agent spec: scope, source strategy, synthesis/citation rules, frameworks, output cadence, QA.
What good looks like.
Trade press, filings and blogs get ranked before a single claim is written down.
Nothing ships without a second source or an explicit confidence flag.
The brief goes through a human read before it reaches the Friday digest.
What it must include
- 01Research topics/questions and scope
- 02source list and credibility tiers
- 03search/retrieval strategy and recency rules
- 04competitive-intel framework (e.g. SWOT, Porter's, feature/pricing matrix)
- 05synthesis with citations and confidence levels
- 06contradiction/verification step
- 07output format (brief/dashboard) and cadence
- 08alerting on changes
- 09bias and source-diversity controls
- 10deliverable templates
Signals of expertise
- ★Source-credibility tiering and citation discipline
- ★adversarial verification of claims
- ★competitive frameworks
- ★change-detection alerting
- ★separating fact from inference
Common mistakes
- ×Uncited synthesis
- ×single-source reliance
- ×no verification/contradiction handling
- ×stale data
- ×conflating opinion with fact
Frequently asked.
Is the AI Research & Competitive Intel Agent free to use?
Yes. You can generate a full a research agent spec for free with no signup and no credit card. An account is only needed if you want to save the result or download it later.
What do I need to provide to ai research & competitive intel agent?
4 fields: Topics, Sources, Output format, Cadence. Each field has an example placeholder shown in the form, so you always have a model answer to work from even if you're not sure what to type.
How long does it take?
Most people get a finished a research agent spec in under five minutes: fill in the inputs, generate, then copy the result into ChatGPT, Claude, or Gemini. Most users reach an 80–90% ready result within 1–3 passes.
Which AI model does it work with?
The output is a portable prompt and template - it works with GPT, Claude, Gemini, or Perplexity. You paste it into whichever model you already use; nothing is locked to one vendor.
What makes a good a research agent spec?
It should include: Research topics/questions and scope; source list and credibility tiers; search/retrieval strategy and recency rules; competitive-intel framework (e.g. SWOT, Porter's, feature/pricing matrix); and more. The tool is pre-loaded with these criteria so the generated draft already covers them.
You might also like.
AI Report Generation Agent
Get report agent spec - just enter data sources, format, cadence.
AI Knowledge Base Builder
Get KB workflow spec - just enter content sources, teams, update cadence.
AI Content Repurposing Engine
Get content engine spec - just enter source format, target channels, brand voice.
