Social Media LLM Prompts Intermediate

Social Media Audit & Competitive Analysis Framework

A practical framework designed to help you achieve better results in this area.

Best Model
ChatGPT GPT-5.5 / Claude Sonnet 4.6Fast creative iteration
Brevity Mode
Detailed
Difficulty
Intermediate
Automation
Needs user context

Use This When

Campaign planning, content calendars, ad creative, copy tests, hooks, CTAs.

Inputs Needed

Brand voice, target audience, platform, goal, offer, content examples, visual references, posting cadence.

Expected Output

Platform-ready content plan, hooks, captions, creative direction, posting sequence, and CTA variants.

The Workflow Prompt

Copy-paste ready. Replace [bracketed placeholders] with your specifics.
You are a senior social media strategist and content producer.

Objective:
Social Media Audit & Competitive Analysis Framework

Context:
A practical framework designed to help you achieve better results in this area.

Original task:
You are a social media strategist and analyst who has conducted 300+ comprehensive social audits for brands, uncovering growth opportunities, competitive gaps, and strategic blind spots that accelerate performance.Create a complete social media audit framework for [BRAND NAME]. Deliver:1. Account health assessment including follower quality analysis, engagement rate benchmarking, content consistency evaluation, and algorithmic favorability indicators2. Content performance analysis covering your top 50 posts with breakdown of what worked (format, timing, topic, messaging) and what underperformed, including performance patterns3. Audience analysis including demographic composition, engagement patterns, follower quality assessment, and audience growth trends over time4. Competitor landscape mapping covering 5-7 direct competitors with detailed analysis of their content strategies, engagement tactics, audience size/growth, and unique differentiators5. Content pillar analysis reviewing your existing content categories and identifying gaps between what you're creating and what your audience wants6. Engagement analysis including response time, reply rate, community sentiment, and audience relationship quality7. Platform opportunity assessment - which platforms represent the highest growth opportunity for [BRAND] based on audience concentration, engagement rates, and platform algorithm favorability8. Content calendar review assessing posting cadence, consistency, batching efficiency, and calendar flexibility9. Visual branding consistency review of profile aesthetics, content design, and visual identity coherence10. Strategic recommendations roadmap with prioritized opportunities, implementation timeline, and expected impact metricsInclude specific audit templates, benchmarking data, and comparison visualizations.

Inputs I may provide:
Brand voice, target audience, platform, goal, offer, content examples, visual references, posting cadence.

Operating instructions:
- First, restate the objective in one clear sentence.
- If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them.
- Use a Detailed response style.
- Be specific to the business, audience, channel, and constraints provided.
- Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use.
- When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources.
- Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead.
- End with a short QA checklist that helps me verify the output.

Required output:
Platform-ready content plan, hooks, captions, creative direction, posting sequence, and CTA variants.

Caution:
Do not treat output as professional legal, medical, financial, or compliance advice; verify with a qualified expert. Use live web research or source documents before finalizing claims.

QA Follow-Up Checklist

After the AI returns its output, verify against:

  1. Output is specific to the provided business/context.
  2. Assumptions are clearly labeled.
  3. No unsupported claims without source checks.
  4. Next actions are clear and usable.
  5. Hook, offer, audience, proof, objection, and CTA are addressed.

Follow-Up Prompt

Run this next to refine the first output into a client-ready version.
Now turn the result for 'Social Media Audit & Competitive Analysis Framework' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.

Avoid / Cautions

Do not treat output as professional legal, medical, financial, or compliance advice; verify with a qualified expert. Use live web research or source documents before finalizing claims.

How Different Verticals Use This Workflow

Restaurant & Hospitality

A 4-location BBQ chain audits their Instagram (45K followers). Inputs: 90-day post history, 5 named competitors (Franklin BBQ, La Barbecue, others). Output: their highest-performing posts are pit-master process content (not food porn); a key competitor is winning with staff/family content they haven't tested. 3 strategy changes: increase pit-master content frequency, test staff stories, kill the close-up food shots. 90-day result: engagement rate doubles.

Retail & E-commerce

A DTC denim brand audits their Instagram (110K followers). Inputs: 90-day post history, 5 named competitors. Output: their reels outperform carousels 3:1 but they ship 5 carousels per reel. Competitors are winning with UGC reels they haven't tested. 3 changes: shift posting mix 60/40 to reels, partner with 10 micro-creators for UGC, kill the model-only carousel format. 90-day result: reach per post 2.4x.

Professional Services & B2B

A B2B consulting firm audits their LinkedIn company page (8K followers). Inputs: 90-day post history, 5 named competitors. Output: their CEO's personal account vastly outperforms the company page; competitors are using employee advocacy programs they haven't built. 3 changes: shift content investment to founders' personal accounts, launch a 6-person employee advocacy pilot, kill the company-page corporate updates. 90-day result: total brand reach across employee accounts triples.

Beauty & Personal Care

A clean beauty brand audits their TikTok (65K followers). Inputs: 90-day post history, 5 named competitors. Output: their tutorial content is being out-shared by competitors' ingredient-explainer content. 3 changes: shift content mix to 60% ingredient education, partner with one MD esthetician for credibility content, kill the GRWM format. 90-day result: engagement rate from 2.3% to 5.8%.

Local & Trade Services

A roofing contractor audits their Facebook page (12K followers, hyper-local). Inputs: 90-day post history, 5 named local competitors. Output: their before/after photos are being throttled; a local competitor is winning with project walk-around video content they haven't tested. 3 changes: shift 70% of content to video walk-arounds, kill the static before/after photos on Facebook (keep on Instagram), launch a customer-story video series. 90-day result: organic reach recovers.

Frequently Asked

What inputs actually move the needle for a social audit?

Your account's full posting history for the last 90 days with engagement data, 5 named competitors' handles for the same period, and the specific business outcome the audit needs to inform (rebrand, content strategy shift, paid investment decision). Without the business decision, the audit becomes data tourism. Without competitor parity in time period, you're comparing apples to oranges. Skip the 'industry trends' input — the audit needs to surface YOUR specific patterns, not generic trend commentary.

What does a great output for this look like specifically?

A breakdown of your top 50 posts with the specific pattern that worked, a competitor analysis showing what's working for them that you haven't tested, and 3 specific strategy changes for the next 90 days with predicted impact. If the output is 'your engagement is decreasing — consider a content refresh,' it failed. Demand named-post pattern recognition, specific gaps relative to competitors, and dated action items. Anything less is a status report.

When is this the wrong tool to reach for?

When you've been on the platform under 6 months. You don't have enough data to audit yet — you have data to react to in real time. Use an algorithm mastery prompt for early-stage account building. Use this when you have 6+ months of data showing both successes and stagnation. Also avoid this if you've recently changed your content strategy — audit only after the new strategy has run for at least 60 days, otherwise you'll judge new content by old benchmarks.

How is this different from a content audit prompt?

Content audit covers your owned media (blog, email, gated assets). Social audit covers rented media (third-party platforms). The distinction matters because rented media is subject to algorithm changes you don't control. A content audit can produce 5-year-stable recommendations; a social audit's recommendations age out in 6 months. Don't conflate them. Use content audits for foundational decisions; use social audits for tactical adjustments.

Related Workflows

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