2 months ago 2 months ago

SOP: Building Enterprise-Grade Competitive Intelligence Reports in Minutes Using Manis + SimilarWeb + NotebookLM

by marketingagent.io 2 months ago2 months ago

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Overview

This SOP enables marketing teams to generate enterprise-grade competitive analysis reports, advertising budget estimates, and strategic recommendations using Manis (an AI research agent) integrated with SimilarWeb market research data—in under an hour and for a fraction of traditional consulting costs.

Typical Cost: $10-50 per analysis vs. $10,000-50,000+ for agency consulting
Typical Time: 30-60 minutes vs. weeks for traditional research
Output Quality: Board-ready presentations, competitive profiles, and actionable strategies

Prerequisites & Setup

Required Tools & Access

Manis account (manis.im) — Now owned by Meta
SimilarWeb integration enabled in Manis (automatic for new users)
Notebook LM account (for converting reports to presentations)
Credits budget ($50-200 minimum recommended for learning; each query costs $5-20)

Knowledge Prerequisites

Understanding of your industry and competitors
Basic familiarity with marketing channels and metrics
Access to internal benchmarks or performance data (optional but helpful)

Process 1: Generate Competitive Intelligence Report

Step 1: Identify Your Target Competitors

Action: Choose 1-3 companies you want to analyze deeply.

Example Competitors:

HubSpot, Salesforce, Monday.com
Any public company with significant web traffic

Key Consideration: SimilarWeb has best data on companies with substantial online presence. Niche or B2B companies with low web traffic may have limited available data.

Step 2: Open Manis and Initiate Research Query

Action: Create a new Manis research thread.

Sample Prompt:

Do a competitive analysis for [COMPANY].com and [COMPETITOR].com. 
Create a detailed report covering:
- Traffic and audience intelligence
- Seasonality and trends
- Audience profile and demographics
- Traffic source breakdown
- Paid advertising strategy and messaging
- Channel mix and performance
- SEO and content strategy
- Actionable recommendations if I were the CMO

Use SimilarWeb data to support all findings.

Pro Tip: The more specific your prompt, the better the output. Include your actual role (CMO, Head of Marketing, etc.) for relevant recommendations.

Step 3: Review Credit Usage & Proceed

Action: Manis will show estimated credit cost before running.

Decision Point:

If cost is acceptable, select “Proceed”
If too high, refine your prompt to be more specific (reduces data gathering)
Typical cost: $10-20 per full competitive analysis

Step 4: Analyze the Generated Report

Action: Review the report Manis generates. Typical sections include:

Traffic & Audience Intelligence — Unique visitors, traffic trends, geography breakdown
Seasonality Analysis — When traffic peaks and dips
Audience Profile — Device types, interests, behaviors
Traffic Sources — Breakdown by organic, paid, referral, direct, social
Paid Advertising Intelligence — Ad copy samples, messaging strategy, targeting approach
SEO Strategy — Content themes, domain authority, topic clusters
Strategic Recommendations — What to change/improve as CMO

Assessment Questions:

Are the numbers directionally accurate? (Note: estimates may be 10-30% off from reality)
What surprised you about their strategy?
What patterns match your own experience?
Where are the competitive gaps?

Process 2: Convert Report to Board-Ready Presentation

Step 1: Copy the Manis Report

Action: Select and copy the entire report from Manis.

Step 2: Create New Notebook LM Notebook

Action:

Go to NotebookLM (notebooklm.google.com)
Create a new notebook
Upload the Manis report as a document or paste as text

Step 3: Generate Presentation via Notebook LM

Action: In Notebook LM, request presentation generation.

Sample Prompt:

Create a professional slide deck presentation from this competitive intelligence report. 
Include:
- Executive summary with key findings
- Competitive positioning
- Strengths and weaknesses
- Market share and traffic rankings
- Recommended strategic initiatives
- 90-day action plan
Format for board presentation. Use visuals where appropriate.

Result: Notebook LM automatically generates a visually formatted presentation you can:

View in-browser
Download as PDF
Edit and refine
Present directly to leadership

Step 4: Refine & Iterate (Optional)

Action: Ask Notebook LM follow-up questions to:

Expand specific sections
Add financial impact estimates
Create additional visualizations
Adjust tone or detail level

Example Follow-up:

Create a more detailed section on their paid advertising spend, including 
estimated monthly budget based on traffic volume and conversion benchmarks.

Process 3: Estimate Competitor Advertising Budgets

Step 1: Set Up Budget Estimation Query

Action: Create a new Manis research query.

Sample Prompt:

Look at the paid traffic sources for [COMPETITOR1].com, [COMPETITOR2].com, and [COMPETITOR3].com.

Break down:
1. Traffic volume from each paid channel (search, display, social, etc.)
2. Bounce rates per channel
3. Industry benchmark cost-per-click for each channel
4. Estimated total advertising budget for each company

Show calculations and assumptions. Create a comparison chart.

Pro Tip: Include bounce rate data—it helps estimate quality and budget efficiency.

Step 2: Review Budget Estimates & Methodology

Action: Analyze the output, which typically includes:

Estimated budgets per company ($10M-$200M+ range for large companies)
Channel-by-channel spending breakdown
Cost benchmarks used (CPC, CPM rates)
Confidence level and methodology notes

Critical Note: These are estimates. Accept 20-40% variance from actual spend, but directional accuracy is usually solid.

Step 3: Extract Actionable Insights

Key Questions:

Which competitor spends aggressively? In which channels?
Is there a more cost-efficient approach?
What’s the ratio of paid to organic acquisition?
Are budgets concentrated or diversified?

Action: Create a simple internal spreadsheet or presentation comparing:

Competitor name
Estimated total ad spend
Channel breakdown
Your company’s approach vs. theirs

Process 4: Identify Counter-Seasonal Spending Opportunities

Step 1: Research Peak vs. Trough Spending Months

Action: Create Manis research query for seasonal patterns.

Sample Prompt:

Analyze the top 10 companies in [INDUSTRY] (e.g., fintech, SaaS, e-commerce).

For each company, identify:
1. Peak months when they spend most on paid advertising
2. Trough months when they spend least
3. Why the seasonal variation occurs (holidays, tax season, new product launches, etc.)
4. Average spend across the 10 companies
5. Cost variance between peak and trough months

Create a chart showing peak vs. trough spending patterns.

Expected Output:

List of 10 companies ranked by spending
Peak months (e.g., “January: Tax season for fintech”)
Trough months (e.g., “August: Post-summer vacation slowdown”)
Percentage cost difference (typically 20-40% savings in trough months)

Step 2: Analyze the Seasonal Report

Action: Identify patterns:

Consistent High Spenders — Companies that spend year-round (e.g., PayPal, Stripe)
Seasonal Bursts — Predictable peaks (e.g., Intuit in tax season)
Volatile Spenders — Unpredictable patterns (e.g., crypto companies)
Minimal Spenders — Traditional/mature brands with lower ad spend

Step 3: Develop Counter-Seasonal Strategy

Action: Build your marketing spend plan around trough months.

Strategy Framework:

Timing	Action	Benefit
Trough Months	Increase ad spend	20-25% lower CPC/CPM due to less competition
Peak Months	Maintain baseline	Hold market position without overpaying
Inflection Points	Test new channels	Lower cost to experiment while competitors are quiet

Implementation:

Set seasonal budget allocation (e.g., 60% in trough months, 40% in peak months)
Front-load campaigns before competitors ramp up
Plan creative testing in low-cost periods
Reserve budget for opportunistic spending

Process 5: Analyze Top-Performing Companies & Extract Playbooks

Step 1: Identify Industry Winners

Action: Query Manis for top performers by growth rate.

Sample Prompt:

Give me the top 10 SaaS companies (or [YOUR INDUSTRY]) by traffic growth rate (not total traffic).

For each, provide:
1. Growth rate (%)
2. Traffic volume
3. Key traffic sources
4. Apparent growth strategy (product-led, paid, content, etc.)
5. Main channels they use

Include observations about what these winners have in common.
Also provide a CSV export of the data.

Expected Output:

Rankings by growth rate
Strategic observations (e.g., “AI productivity tools are thriving”)
CSV data for further analysis
Methodology notes

Step 2: Deep-Dive on Top 3 Winners

Action: Create follow-up Manis query focusing on 3 most relevant competitors.

Sample Prompt:

For [COMPANY1], [COMPANY2], and [COMPANY3], provide a detailed playbook of:
1. Product-led growth tactics (free trials, freemium model, etc.)
2. Paid acquisition strategy (channels, messaging, targeting)
3. Content and SEO approach (blog topics, keyword strategy)
4. Partnership and referral ecosystem
5. How they're monetizing new features (e.g., AI add-ons)

What should we be doing that they're doing well?

Step 3: Extract Actionable Playbooks

Action: Create internal one-pagers for each competitor showing:

Their primary growth engine (e.g., “PLC” for product-led, “PMC” for paid marketing)
Top 3 channels
Messaging themes
Content topics
Monetization approach

Use Case: Share with your team to inform your own strategy without copying.

Process 6: Generate Homepage Design Mockups Based on Competitive Insights

Step 1: Synthesize All Competitive Findings

Action: Summarize key insights from previous analyses:

What messaging resonates most
What design patterns are common
What CTAs drive action
What social proof elements appear

Step 2: Request Design Mockups from Manis

Action: Create Manis research query for design recommendations.

Sample Prompt:

Based on the research we did on [TOP 3 COMPETITORS], design 3 different homepage mockups for our website.

Each mockup should:
1. Lead with customer proof/testimonials
2. Highlight our unique value vs. competitors
3. Include copy addressing the key jobs-to-be-done
4. Show clear CTAs (sign up, demo, pricing)
5. Incorporate design patterns from industry leaders
6. Be production-ready (code + visual)

Make them look professional and conversion-optimized.

Result: Manis generates 3 full homepage designs in HTML/CSS that you can:

Preview in-browser
Test with user feedback
Develop further with your engineering team
Iterate on messaging/design

Step 3: Evaluate & Select Best Mockup

Action:

Review each of the 3 mockups
Assess which resonates with your brand
Identify which conversion elements are strongest
Note design patterns you like
Select 1-2 for user testing or development

Process 7: Full Website Competitive Analysis (Advanced)

Step 1: Request Detailed Website Comparison

Action: Create Manis research query.

Sample Prompt:

Compare [YOUR COMPANY].com and [COMPETITOR].com in detail:

1. Site speed and technical performance (from web data)
2. Traffic by page type (homepage, pricing, blog, docs, etc.)
3. User engagement metrics (bounce rate, pages per session)
4. Call-to-action effectiveness (estimated conversions)
5. Content strategy (blog posts, resources, guides)
6. Referral sources and quality
7. Search ranking opportunities (gaps in their coverage)
8. Mobile vs. desktop experience insights

Highlight specific pages where we're weak and they're strong.

Step 2: Extract High-Impact Improvements

Action: Identify 5-10 specific improvements ranked by impact:

Where they rank higher than you
Why (better content, clearer messaging, stronger CTA)
What to do differently

Step 3: Build 90-Day Action Plan

Action: Create prioritized roadmap:

Priority	Initiative	Owner	Timeline	Expected Impact
High	Improve homepage conversion	Marketing	30 days	+15% lead rate
High	Build competitive case studies	Sales/Mkt	45 days	+20% win rate
Medium	Expand blog coverage on X topic	Content	60 days	+10% organic traffic
Medium	Optimize pricing page	Product/Mkt	30 days	+5% conversions

Key Principles & Best Practices

1. Know Your Angle Before Querying

The best insights come from good marketers asking smart questions, not from AI suggestions.

Good angles:

Counter-seasonal spending opportunities
Specific channel arbitrage opportunities
Niche messaging gaps
Geographic expansion opportunities

Weak angles:

Generic comparative metrics
Vague “what should we do?” questions
Requests that aren’t actionable

2. Blend Multiple Data Sources

Manis can pull SimilarWeb data + general web data + competitive intelligence.

Combine:

SimilarWeb traffic data (external)
Your internal performance data (baseline)
Industry benchmarks (context)

3. Iterate and Refine

First output is rarely perfect. Use follow-up questions to:

Dig deeper on interesting patterns
Get specific data you missed
Validate assumptions
Build additional perspectives

4. Budget for Insights

Credit costs ($5-20 per query) are negligible compared to traditional consulting ($10K+).

Smart spending:

Invest in deep dives on your top 3 competitors
Research seasonal patterns for your industry
Test new strategic angles monthly
Build reusable playbooks

5. Use Multiple Modalities

Manis combines research + writing + design + coding in one thread.

Take advantage:

Research insight → Research report (Manis)
Research report → Presentation (Notebook LM)
Strategic recommendations → Visual mockups (Manis)
All in one workflow, no tool-switching

Metrics to Track

After implementing insights from competitive analysis, track:

Paid Acquisition Cost (actual vs. competitor estimates)
Organic Traffic Growth (vs. competitors’ growth rates)
Website Engagement (bounce rate, pages per session)
Seasonal Spend Efficiency (cost per conversion by season)
Messaging Performance (CTR by messaging theme)
Content Performance (traffic to pages inspired by competitive analysis)

Common Mistakes to Avoid

Mistake	Problem	Solution
Trusting estimates as exact	Manis/SimilarWeb data ±20-40% accurate	Treat as directional guidance, validate with internal data
Generic follow-up questions	Wastes credits on non-insights	Ask specific, strategic questions based on your business
One-shot analysis	Outdated quickly, misses nuance	Repeat quarterly, dig deeper on promising angles
Ignoring your domain expertise	AI is best at research, you’re best at strategy	Use AI for data gathering, your brain for decisions
Over-automating follow-ups	Suggested follow-ups are mediocre	Manually craft follow-ups that address your business questions

Time & Cost Summary

Process	Time	Cost	Frequency
Single competitor profile	15-20 min	$10-15	Monthly
3-competitor analysis + presentation	30-40 min	$15-25	Quarterly
Budget estimation (3 companies)	20-30 min	$15-20	Quarterly
Seasonal analysis (industry)	15-20 min	$10-15	Annually
Top 10 industry analysis	20-30 min	$15-20	Semi-annually
Typical quarterly analysis suite	2-3 hours	$100-150	Quarterly