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Ad Intelligence Research

Deepline queries Adyntel for active ads across Facebook, Google, LinkedIn, and TikTok, then uses call_ai to synthesize spend distribution, creative themes, messaging patterns, and platform prioritization into a structured competitive analysis.
B2B buyers are 57% through the purchase decision before talking to a sales rep (CEB/Gartner). Knowing what ads your competitors run reveals their positioning and messaging — your sales team can use this to differentiate in conversations.
The play pulls a competitor’s active ads across paid channels — Facebook, Google, LinkedIn, TikTok — to analyze spend distribution, creative strategy, messaging themes, and platform mix.

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How do I research competitor ads with Claude Code?

Tell Claude Code which competitors to analyze and what platforms matter. Deepline queries Adyntel for active ads across all 4 platforms and synthesizes the data into a strategic analysis from a single prompt.
“What ads is stripe.com running on LinkedIn and Google right now?”
“Analyze the ad strategy for each competitor in competitors.csv — show spend, creative themes, and platform mix”
With Codex: 
codex "Analyze the ad strategy for stripe.com across Facebook, Google, LinkedIn, and TikTok"

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What does the ad intelligence workflow do step by step?

Deepline queries 4 ad platform APIs via Adyntel, aggregates the data, and synthesizes a strategic analysis with call_ai. Each platform returns different data — creative copy, spend estimates, targeting signals — and Deepline normalizes it into a consistent format. This replaces manual checks across Facebook Ad Library, Google Ads Transparency Center, and LinkedIn Ad Library.
1

Query ad platforms

Deepline queries Adyntel for active ads across Facebook, Google, LinkedIn, and TikTok for each target domain.
2

Aggregate ad data

Ad creative, copy, spend estimates, and targeting signals are collected across platforms.
3

Analyze strategy

call_ai synthesizes the ad data into a competitive analysis: spend distribution, creative themes, messaging patterns, platform prioritization.
4

Write intelligence report

Results include per-platform breakdown, creative examples, and strategic insights.

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Which providers power the ad intelligence?

Adyntel provides access to 4 ad platform APIs. Combined with call_ai for synthesis, a single prompt produces a full view of competitor ad strategy.
  • adyntel-facebook — Facebook/Instagram ad creative and targeting
  • adyntel-google — Google Search and Display ad data
  • adyntel-linkedin — LinkedIn Sponsored Content data
  • adyntel-tiktok-search — TikTok ad creative and performance
Each platform query uses 1 credit, so a full 4-platform analysis costs 4 credits per competitor plus 1 call_ai credit for synthesis. 
# LinkedIn ads for a domain
deepline tools execute adyntel-linkedin \
  --payload '{"domain":"stripe.com"}'

# Google ads for a domain
deepline tools execute adyntel-google \
  --payload '{"domain":"stripe.com"}'
Most useful for competitive analysis in paid marketing. Combine with the Competitive Landscape play to get both organic positioning and paid strategy in one analysis.
Related: Competitive Landscape | Company Research Brief | Classify Company Signals

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Frequently Asked Questions

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How do I see what ads my competitors are running?

Use Deepline’s ad intelligence play with the Adyntel integration. Tell Claude Code: “What ads is stripe.com running on LinkedIn and Google right now?” Deepline queries Adyntel for active ads across Facebook, Google, LinkedIn, and TikTok, returning creative copy, spend estimates, and targeting signals.

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How do I scrape competitor ad copy?

Deepline’s Adyntel integration pulls competitor ad creative and copy from 4 platforms: Facebook/Instagram (adyntel-facebook), Google Search and Display (adyntel-google), LinkedIn Sponsored Content (adyntel-linkedin), and TikTok (adyntel-tiktok-search). No scraping needed — Adyntel provides structured API access to active ad data including copy text, creative formats, and targeting parameters. Each platform query costs 1 credit.

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How do I analyze competitor ad spend programmatically?

Use Deepline’s ad intelligence play. Tell Claude Code: “Analyze the ad strategy for stripe.com across all platforms.” Deepline queries Adyntel for active ads on Facebook, Google, LinkedIn, and TikTok, then uses call_ai to synthesize spend distribution, creative themes, and platform prioritization into a structured report. Run monthly to track spend shifts over time.

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How does Deepline turn raw ad data into strategic analysis?

Deepline queries Adyntel for raw ad data (creative copy, spend estimates, targeting signals) across all 4 platforms, then uses call_ai to synthesize it into a strategic analysis: spend distribution, creative themes, messaging patterns, and platform prioritization. You get both the raw data and the strategic layer from a single prompt.

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Can I analyze competitor ads in bulk from a CSV?

Yes. Pass a CSV of competitor domains to Claude Code: “Analyze the ad strategy for each competitor in competitors.csv.” Deepline queries Adyntel for each domain across all 4 platforms and synthesizes a per-competitor analysis with spend distribution, creative themes, and platform mix.

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How much does ad intelligence research cost?

Each domain query uses 1 credit per platform (4 credits for all platforms: Facebook, Google, LinkedIn, TikTok) plus 1 call_ai credit for synthesis. A competitive analysis across 10 competitors would use approximately 50 credits.

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What’s the best way to monitor competitor ad strategy over time?

Run the ad intelligence play weekly or monthly against the same competitors. Compare output across runs to spot changes in spend distribution, new creative themes, platform shifts, or messaging pivots. Pair with the Competitive Landscape play for organic positioning alongside paid strategy.