Work Smarter, Not Harder: Top 5 AI Prompts Every Marketing Professional in Indianapolis Should Use in 2025

Indianapolis marketers need AI prompts in 2025 because clear, reusable prompts scale local personalization, automate repetitive work, and keep teams focused on strategy rather than production: industry guides show prompt libraries preserve brand voice and reduce the “re‑educate ChatGPT” friction that wastes time (MultihousingNews guide on strong AI marketing prompts), while prompt collections can be used to generate SEO clusters, email sequences, and social calendars that map to the AIDA funnel and reduce manual testing (Glean blog: 25+ AI prompts for marketing).

For marketers ready to operationalize prompts, Nucamp's 15‑week AI Essentials for Work teaches prompt design and role-based prompting so small Indianapolis teams can deliver consistent, compliant local campaigns faster - see the syllabus and registration for hands-on modules and templates (Nucamp AI Essentials for Work syllabus and registration).

“A prompt is just a series of instructions that you write out in natural language and give to a tool like ChatGPT. It's a way to tell AI what to do in a specific way to get really good output.” - Mike Kaput, Chief Content Officer, Marketing AI Institute

Selection began with a focused literature review of prompt‑engineering best practices - drawing on model‑specific guidance and security checklists from Lakera's

Ultimate Guide to Prompt Engineering in 2025

and MIT Sloan's practical rules for effective prompts - then narrowed candidate prompts to five cross‑channel use cases that matter to Indianapolis teams (local SEO, landing‑page audits tied to PageSpeed, email re‑engagement, social repurposing, and executive analytics briefs).

Each candidate was evaluated against four concrete criteria derived from the sources: 1) context and specificity (provide region, audience, and constraints per MIT Sloan), 2) repeatability and few‑shot robustness (use examples to improve accuracy per Learn Prompting and Lenny's synthesis), 3) production hardening and prompt‑injection resistance (Lakera's security patterns), and 4) deliverable clarity - each prompt must return a copy‑ready asset or a clear checklist so small Indianapolis teams can hand off work without re‑writing.

Final prompts were iterated through short test cycles (draft → evaluate → refine) following the iterate‑and‑evaluate workflow recommended in prompt engineering guides, prioritizing safety and local relevance for Indiana campaigns.

Design an SEO‑cluster prompt that tells the model to produce SERP‑based topical clusters for Indiana - e.g., “cluster 100–500 seed keywords that include local modifiers (Indianapolis, Marion County, Indiana) and map each cluster to intent, top 10 competing domains, and suggested pillar page titles.” Pair Semrush's breadth (Keyword Magic, backlink and site‑audit data) with Surfer SEO's on‑page signals and Content Editor recommendations so clusters include both high‑volume opportunities and page‑level optimization cues; industry comparisons show Semrush leads on keyword depth and competitive analytics while Surfer shines at real‑time content guidance and keyword clustering for on‑page work (see the Surfer SEO vs Semrush comparison for SEO tools Surfer SEO vs Semrush comparison for SEO tools).

Favor SERP‑based clustering tools because tests found SERP methods scored 70–95/100 versus 11–35/100 for pattern‑matching; a $1 trial tool (Keyword Insights) scored 89/100, illustrating how SERP context reduces cannibalization and wasted pages in local markets - so what? using SERP‑based clusters cuts duplicate content risk and focuses writers on page types that actually rank for Indianapolis queries.

Start your prompt with a short example cluster (few‑shot) and require output as CSV-ready clusters plus a one‑page optimization checklist for each pillar.

“Semrush and Surfer SEO are SEO tools with similar features.”

Create a reusable Landing Page Audit prompt that ingests Google Ads and Facebook campaign URLs plus PageSpeed Insights scores and heatmap exports (e.g., Instapage/Hotjar CSVs) and returns: 1) a message‑match verdict (ad → hero headline, imagery, CTA), 2) technical failures (PageSpeed thresholds: flag >3s as high, note Databox's recommendation to aim under 2s), 3) tracking checks (pixel, GCLID/auto‑tagging, GA4 events), 4) UX heuristics (mobile form friction, CTA prominence, accessibility signals), and 5) prioritized fixes as a CSV with columns: issue, page URL, severity (high/med/low), estimated effort (hours), and remediation steps.

Require the model to annotate each item with the audit source (PageSpeed, heatmap, or analytics) and to output a 1‑page executive summary tailored to Indiana - e.g., flag geo‑targeted pages for Indianapolis/Marion County that show mismatch between ad promise and landing experience.

Use Siteimprove's guide to Google Ads audits to tie fixes back to Quality Score and CPC improvements (Siteimprove guide to Google Ads audits) and Instapage's 100‑point checklist for granular UX checks (Instapage 100-Point Landing Page Audit Checklist).

For Facebook ad routing and campaign context, include Databox's ad‑audit fields (audience, creative, landing page) so the prompt yields action‑ready items for Indianapolis teams (Databox Facebook Ads Audit Checklist).

Build a reusable Klaviyo/ConvertKit re‑engagement prompt that first creates two strict segments - “unengaged purchasers” and “unengaged non‑purchasers” - using criteria like subscribed >60 days, no opens in 120 days, and bounce count <5, then outputs a campaign plan: a personalized, text‑forward first message, 1–3 follow‑ups (or a 2–5 win‑back sequence if your buying cycle supports it), and a suppression rule for non‑responders to protect deliverability; include batch sending instructions to spread deliveries and suggested incentives (small discount or exclusive release) tailored by segment.

Require the model to produce copy templates (subject + plain‑text body + CTA), cadence recommendations tied to your brand's buying cycle, and measurable success checks (open, click, conversion) with the explicit action “suppress profiles who don't open” if thresholds aren't met.

Use Klaviyo's re‑engagement guidance for segment logic and campaign structure (Klaviyo re-engagement email campaign guide) and the old‑list precautions for deliverability and list cleaning (Klaviyo old-list re-engagement precautions and deliverability guidance); so what? a clear prompt that outputs copy, cadence, and suppression rules turns a risky “blast” into a repeatable process that preserves sender reputation for Indiana lists.

If you see an open rate above 10%, you can consider the campaign successful.

Build a Social‑Repurpose prompt that ingests a transcript or long video URL and returns platform‑perfect assets for Indiana audiences: Canva slide text for a 8–12‑card LinkedIn/Instagram carousel, Descript clip timestamps and edit notes for 3–6 short clips (e.g., a 30‑minute webinar → six 30‑sec reels), three caption variants (long, mid, short) with local modifiers (Indianapolis, Marion County, Indiana), suggested hashtags, and a one‑sentence CTA tailored to Hoosier readers.

Seed the prompt with a short example (timestamp + slide copy + caption) and require outputs as CSV (timestamp,start,end,clip_title,caption,slide_text,hashtags) plus a one‑page repurpose calendar.

Use the workflow advice in Jammy Digital's playbook to structure long form like a mini‑series and Tribal Digital's checklist to convert posts into carousels and short clips; include Descript/Otter transcription steps so editors can clip quickly and keep captions accurate (Jammy Digital guide: How to Repurpose One Video into 150+ Pieces, Tribal Digital Media: Content Repurposing - 6 Creative Ways).

So what? a single recorded talk, when run through this prompt, can supply a month's worth of locally relevant posts without extra shoots - freeing small Indianapolis teams to focus on promotion and community engagement.

"I would say it's an ongoing process, but it's easy to recognize what should be repurposed (i.e, did it perform well on the original platform)," says Zapier's Communications Manager Alexandra Duggan.

Turn raw analytics exports into a decision-ready one‑pager with a reusable Executive Analytics Brief prompt that: ingests exported GA tables or dashboard snapshots plus any Excel/CSV from your data pulls; extracts five headline KPIs (traffic, conversion, top channels, geo by Marion County/Indianapolis, and a lead quality signal); produces a 1‑page executive summary with so what? (three prioritized, time‑bound recommendations) and a two‑slide recommendation pack for the CMO/CEO; and exports a companion CSV of sources and confidence notes so analysts can verify each claim.

Seed the prompt with an example row from your GA export and require the model to map each insight to a Crayon‑style template section (competitive context, key finding, recommended action) and to format the brief for weekly syncs using a simple Lark weekly briefing layout.

Use Venngage's executive‑brief checklist to keep the summary concise and evidence‑backed, and link the deliverables to an editable template so Indianapolis stakeholders (for example, Leadership Indianapolis) can act without extra data work - this turns analytics noise into a single slide that helps leaders decide, not debate (Crayon executive briefing templates, Venngage guide to writing executive briefs, Lark weekly team briefing template).

Build a shared, searchable prompt library and start with 2–3 high‑impact use cases - local SEO clusters, landing‑page audit recipes, and an email re‑engagement sequence - for Indianapolis teams to prove value fast: centralize prompts in one platform, enforce clear naming + version control, assign an AI prompt owner, and measure outcomes (PromptDrive notes teams can see efficiency gains of up to 40% when collaboration and tracking are in place).

Use a practical how‑to (save templates, set permissions, and require CSV/JSON outputs) from TeamAI's guide to prompt libraries to stop re‑writing prompts and preserve brand voice across Marion County campaigns.

If you want structured training to implement this, consider Nucamp's AI Essentials for Work - hands‑on modules cover prompt writing, role‑based workflows, and reusable templates so small Indianapolis teams can convert pilots into repeatable assets without hiring an engineer.

"The technologies and the tooling we have available is skewing more toward enabling and empowering domain professionals, the business users, or the analytics professionals to take direct ownership of AI within companies." - Bradley Shimmin, chief analyst at Omdia