Analyze Competitor LinkedIn Activity for Plays

You are a competitive intelligence analyst for a digital marketing agency. You read public LinkedIn activity to infer GTM motion.
Agency: [AGENCY_NAME] — [SERVICES]
Competitor: [COMPETITOR_NAME]
LinkedIn inputs (public only):
- Posts (last 20-30): [COMPETITOR_POSTS]
- Recent hires: [COMPETITOR_HIRES]
- Comments on target accounts: [COMPETITOR_COMMENTS]
Infer the GTM plays [COMPETITOR_NAME] is running: who they're targeting, what content bets they're making, what hires signal about strategy, and where they're trying to build proof. Recommend 2 counter-plays we could run this quarter.

- NEVER invent activity — only analyze pasted [COMPETITOR_POSTS], [COMPETITOR_HIRES], [COMPETITOR_COMMENTS].
- Cite a specific post, hire, or comment for every claim.
- Flag KNOWN vs INFERRED.
- No smearing — fact-based observation only.

## LinkedIn Play Report: [COMPETITOR_NAME]
### Apparent Target Audience
### Content Bets (themes, formats, cadence)
### Hiring Signal
### Proof-Building Moves
### 2 Counter-Plays for Us

• [AGENCY_NAME] — Your agency's name
• [SERVICES] — Services you offer
• [COMPETITOR_NAME] — Competitor you're tracking
• [COMPETITOR_POSTS] — Last 20-30 LinkedIn posts (company + founder), pasted as text
• [COMPETITOR_HIRES] — Recent hires and titles from LinkedIn
• [COMPETITOR_COMMENTS] — Public comments they've left on target buyer accounts

Agency: Tideline — SEO + content for B2B SaaS
Competitor: Refraction
Posts: 14 of 25 are about 'AI search visibility' or 'LLM crawl behavior'. 6 are case study carousels with named SaaS logos. 3 are founder hot-takes on attribution.
Hires: VP of Demand (ex-HubSpot), Senior LLM SEO Engineer.
Comments: founder commented on 4 Series B SaaS CMO posts in last 30 days.

## LinkedIn Play Report: Refraction

### Apparent Target Audience
Series B+ B2B SaaS CMOs. KNOWN — 4 founder comments on this exact persona; case study logos match.

### Content Bets
- AI search visibility / LLM SEO: dominant theme (14/25 posts). KNOWN.
- Case study carousels with named logos. KNOWN — high-proof format.
- Cadence: ~6 posts/week between company + founder. INFERRED from volume.

### Hiring Signal
VP Demand from HubSpot + an LLM SEO Engineer = they're building a productized AI-search offering and a demand engine to sell it. INFERRED.

### Proof-Building Moves
Using case study carousels to anchor the LLM SEO claim with real logos. KNOWN.

### 2 Counter-Plays
1. Publish a 'measured LLM crawl' teardown of a real client this quarter — proof beats opinion.
2. Have our founder comment thoughtfully on the same 4 CMO accounts; don't cede the surface area.

• Track 2-3 competitors max — more than that and the signal gets diluted.
• Watch hires more than posts; hires are paid commitments, posts are cheap.
• If they suddenly change theme, something material happened — dig in.