Competitor Ads Agent

What this agent is

One agent that turns public ad library data and search intelligence into competitor insights. It discovers who is advertising, what they are running, how those ads evolve, and where the strategy gaps are. It works across Meta and Google, then distills patterns you can act on.

Use it to replace manual ad library browsing and scattered screenshots with fast, structured analysis.

When to use it

• You want a clear picture of a competitor's ads without logging into any ad accounts.
• You need proofs, not hunches, to guide messaging, formats, and timing.
• You want cross platform comparisons across Meta and Google.
• You are preparing a report or pitch and need credible creative examples and patterns.

What you need before you start

• A list of competitor brands or domains.
• The markets and languages you care about.
• A time window, for example, lasts 30, 90, or 365 days.

How to get started

1. Provide a competitor list and target markets.
2. Tell the agent the timeframe to analyze.
3. Add any themes or keywords to search for, for example “BNPL, zero cost EMI, Diwali, back to school.”
4. Ask for outputs in plain language. Examples are included under each capability section.

Capabilities

Meta and Facebook advertising intelligence

Company discovery and verification

• Find official brand pages, verify legitimacy, surface sub brands and related entities, and pull follower counts and verification status.

Ad library search

• Search by keyword, topic, or brand to see who is advertising in your space, and collect creative assets and formats at scale.

Complete campaign history

• Aggregate active and historical ads, filter by media type, and track campaign lifecycles to infer seasonality and investment stamina.

Deep ad analysis

• Extract targeting hints from public fields and geography, pull video transcripts where available, summarize calls to action, and report engagement signals when exposed.

Example prompts

• “Show all Diwali sale ads for the last 90 days for Brand A and Brand B. Group by image, video, carousel.”
• “Summarize call to action patterns used by Brand A in India and the UK.”
• “List sub brands and verified pages for Brand A and flag lookalikes.”

Google Ads intelligence

Search campaign discovery

• Find search, display, and video ads associated with a domain, track campaign longevity, and infer keyword strategy from visible ad copy.

Ad performance indicators

• Compare ad variants and regional targeting signals that are publicly observable, and pull impression visibility where available.
• Extract copy patterns, sitelinks, and extensions to show what messages recur.

Example prompts

• “List search ad headlines and descriptions used by Competitor X in the last 60 days. Highlight repeated phrases.”
• “Show display and video placements that appear for Competitor Y in APAC, then summarize creative themes.”

Strategic analysis capabilities

Content and messaging analysis

• Mine keywords, hashtags, and calls to action, identify format preferences, and map platform distribution.

Campaign pattern recognition

• Detect timing, seasonality, and campaign longevity strategies, then compare across Meta and Google.

Example prompts

• “Identify seasonal spikes for Competitor X across Meta and Google in the last 12 months.”
• “Compare value prop messages used by the top three competitors and rank by frequency.”

Real marketing applications

Competitive intelligence

• Estimate budget confidence from long running ads, separate evergreen from tests, track seasonal plays, and compare platform allocation.

Content strategy

• Extract value propositions and pain points, find visual trends, use transcripts to analyze story structure, and shortlist proven calls to action.

Targeting intelligence

• Infer audience focus from geography, formats, and public targeting hints, and compare demographic emphasis where exposed.

Market opportunity detection

• Surface keyword gaps, platform and format gaps, messaging gaps, and creative styles no one is using.

Campaign planning

• Borrow timing patterns, pick formats based on proven wins, sanity check budget expectations from activity density, and set creative direction from high performing examples.

Guardrails and tips

• Always specify competitors, markets, languages, and timeframe.

• Ask for both breadth and depth. Example: “Collect all ads, then deep dive the top 30 by longevity and thematic consistency.”

• Provide concrete questions. Example: “Return a table of hooks, offers, CTAs, and formats, then write three testable angles we do not currently use.”

• Keep brand names unambiguous. Include official domains to avoid lookalikes.

• For multi country reviews, request separate sections per country to avoid mixing regulations or holidays.

Limitations and assumptions

• Data comes from public libraries and search intelligence. Exact spend, bids, and private audience definitions are not exposed.
• Availability varies by country and policy. Some regions limit targeting or engagement fields.
• Transcript extraction works where videos provide captions or accessible audio for processing.
• Targeting signals are inferred from observable fields, creatives, captions, and placement, not from private platform data. Treat them as strong hints, not ground truth.
• Ad classification into themes is automated with human readable summaries. Ambiguous creatives may require manual review.

Output formats you can request

• Summary brief with key patterns and example creatives.
• Side by side competitor matrix for hooks, offers, formats, and CTAs.
• Timeline of campaigns with seasonality notes and launch spikes.
• Cross platform comparison that explains when each competitor prefers Meta or Google and why.
• Opportunity map that lists messaging, keyword, and creative gaps.

Example end to end prompt

“Analyze Brand A, Brand B, and Brand C in India and the UK for the last 180 days. Collect all Meta and Google ads. Produce three outputs: 1) a matrix of hooks, offers, CTAs, and formats with counts, 2) a month by month timeline showing seasonal spikes and launches, 3) an opportunity map with five gaps we can exploit next month.”