Turn competitor job postings into a positioning brief

Pick 3-5 competitors you actively run into in deals, ads, SEO results, or customer conversations. Create a Google Sheet with columns for competitor, job title, department, location, seniority, role summary, required skills, product area, customer segment, and inferred signal. The goal is to capture job data in a structured way so Claude can compare patterns later.

Use LinkedIn Sales Navigator and public career pages to collect open roles from each competitor. Look for repeated titles, new departments, unusual locations, industry-specific roles, and senior leadership hires. Add 10-25 high-signal roles per competitor into the tracker instead of copying the entire job board.

Use Perplexity to research recent announcements, product launches, acquisitions, partner updates, funding news, customer wins, and analyst mentions for each competitor. Add the relevant context beside the hiring data in Google Sheets. This prevents overreading a job post without understanding the broader company direction.

Research recent public signals for this competitor.

Competitor:
{{competitor_name}}

Known category:
{{category}}

Hiring signals already collected:
{{hiring_signals}}

Find recent public context from the last 6-12 months:
1. Product launches
2. Partnerships
3. Customer wins
4. Funding or acquisition news
5. Geographic expansion
6. Executive hires
7. Industry or analyst mentions

For each finding, include why it may explain the hiring pattern. Do not speculate beyond the evidence.

Paste the structured hiring and public context into Claude. Ask it to identify what each competitor appears to be prioritizing, where they may be expanding, where they may be struggling, and which market narrative they may push next. Force Claude to separate evidence from interpretation.

Analyze these competitor hiring and public context signals.

Competitor hiring tracker:
{{competitor_hiring_tracker}}

Recent public context:
{{public_context}}

For each competitor, output:
1. Likely strategic priorities
2. Evidence supporting each priority
3. Possible product or market bets
4. Possible operational pressure or weakness
5. Messaging themes they may use next
6. Confidence level: high, medium, or low
7. What we should monitor next

Separate evidence from interpretation. Do not turn weak signals into certainty.

Use Claude to convert the strategic signals into practical positioning implications for your own team. Identify where competitors are likely leaning in, where they may be vulnerable, what claims may become crowded, and which differentiated angles your team can own. Keep the output focused on usable messaging, not generic competitor commentary.

Turn these competitor priority signals into positioning implications for our company.

Competitor signal analysis:
{{competitor_signal_analysis}}

Our positioning:
{{our_positioning}}

Our strengths:
{{our_strengths}}

Our target buyer:
{{target_buyer}}

Output:
1. Competitor narratives likely to become more common
2. Claims that may become crowded
3. Competitor vulnerabilities or open questions
4. Differentiated angles we can credibly own
5. Sales talk tracks
6. Campaign angle ideas
7. Claims to avoid because they are too similar to competitors

Be specific and practical.

Move the strongest findings into a Google Doc. Use a simple structure: executive summary, competitor hiring patterns, inferred priorities, market narrative risks, differentiation opportunities, sales talk tracks, and campaign ideas. Keep it short enough that sales, product marketing, and demand gen can actually use it.

Add 3-5 next actions at the end of the brief. These can include sales enablement updates, ad copy tests, website messaging changes, battlecard edits, or follow-up monitoring tasks. Assign each action to an owner and date so the research does not die as a static document.