Claude Research Prompts

You're an SEO strategist doing a content gap analysis. I've uploaded two Google Search Console exports from the last 3 months: - Queries.csv (search queries with clicks, impressions, CTR, position) - Pages.csv (my URLs with clicks, impressions, CTR, position) Note: these files aren't linked, so match queries to pages by comparing query topics to URL slugs and page themes. Tell me when a match is a guess. Find: 1. Missing content: queries with meaningful impressions where no page on my site clearly targets that topic. Group related queries into topic clusters. 2. Striking distance: queries ranking in positions 8–20 with solid impressions, where a better or more focused page could reach the top 5. 3. Underperforming visibility: queries or pages with high impressions but CTR well below what their position should get. Suggest why (title mismatch, wrong intent, weak snippet). 4. Question and comparison queries (how, what, best, vs, alternatives) that deserve a dedicated answer-style page. These are also the ones most likely to get cited in AI search. Ignore branded queries and anything with fewer than 10 impressions. Output: - A prioritized table: Topic/Query cluster | Total impressions | Avg position | Gap type | Recommended action (new page / update existing URL / rewrite title) | Priority (High/Med/Low) - Top 5 content pieces to create first, each with a suggested title, target queries, and one line on search intent - Top 5 quick wins on existing pages Use only numbers from my files. Don't invent search volumes or keywords that aren't in the data.

Conduct deep competitive intelligence on [COMPETITOR NAME]: COMPANY OVERVIEW: - Founding story and key milestones - Leadership team (backgrounds, previous companies) - Funding history (rounds, investors, valuations, burn rate estimates) - Employee count and growth trajectory (check LinkedIn headcount) - Office locations and expansion patterns PRODUCT DEEP-DIVE: - Complete product catalog with descriptions - Pricing tiers (current + historical changes) - Feature comparison vs top 3 alternatives - Technology stack (from job postings, tech blogs, BuiltWith) - Recent product launches (last 12 months) - Roadmap clues (from: job postings, conference talks, patent filings, customer surveys) MARKET POSITIONING: - Target customer (size, industry, characteristics, job titles) - Ideal Customer Profile (ICP) based on case studies - Messaging and positioning (analyze website, ads, content) - Brand voice and personality - Key differentiators they claim GO-TO-MARKET STRATEGY: - Marketing channels (paid, organic, partnerships) - Content strategy (blog topics, frequency, engagement) - Sales approach (inbound vs outbound, PLG vs sales-led) - Partnership ecosystem (integrations, resellers, tech partners) - Event presence (conferences, webinars, sponsorships) CUSTOMER INTELLIGENCE: - Review analysis (G2, Capterra, TrustPilot - what do users love/hate?) - Common complaints (from Reddit, Twitter, support forums) - Feature requests and gaps (from public roadmap, user forums) - Churn signals (Glassdoor reviews, customer testimonials that stopped) STRATEGIC VULNERABILITIES: - What are they bad at? (based on reviews, hiring patterns) - What markets are they ignoring? - Where are they overextended? - Technology debt or legacy issues - Pricing weaknesses or gaps THREAT ASSESSMENT: - How aggressive are they in OUR market? - What would it take to compete effectively? - What could they do that would hurt us most? - Early warning signals to monitor Use: Recent sources only (last 18 months). Prioritize primary sources (their blog, official announcements, verified reviews). Flag speculation vs confirmed facts. Include URLs for verification.

You are a local SEO strategist who specializes in Google Business Profile optimization through competitive intelligence. Your methodology is called "Chameleon" — you don't give generic GBP advice. Instead, you reverse-engineer what's actually working for the top-ranking competitors in a specific market, identify the patterns and signals driving their success, then build an adaptive strategy that absorbs those winning patterns while exploiting competitor vulnerabilities. I'm going to give you a client's Google Business Profile and 2-5 competitor GBPs from the same market. Here's what I need you to do: Step 1: Extract Data From Every Profile For the client AND each competitor, pull every available data point: Business name, primary category, all secondary categories Business type (service area business vs. storefront vs. hybrid) Service areas listed, services listed, products listed Total review count, average rating, review velocity (reviews per month over last 6-12 months), review recency, whether reviews contain keyword mentions of services/locations Owner response rate and quality (templated vs. personalized, keyword usage in responses) Photo count, photo velocity (uploads per month), photo types (team, jobs, equipment, etc.) GBP post frequency, post types (offers, updates, events, project showcases), last post date Business description (full text, keyword usage, CTA presence) Attributes filled out, Q&A section populated or empty Hours accuracy, appointment/booking links, website URL Whether the business operates multiple GBP listings across the metro area Step 2: Build the Competitive Benchmark Once you have data on all profiles, build a comparison matrix. For every metric, calculate the market minimum, median, and leader — then show exactly where the client sits and what the gap is. Don't just list numbers. Identify the PATTERNS: What category combinations do the top performers share? What review velocity sustains a map pack position in this market? What photo count and type is the competitive floor? Are leaders using GBP posts, and if so, what kind and how often? Are leaders using the Products or Q&A sections that others ignore? Are any competitors running multiple listings or DBA strategies? Step 3: Find the Attack Vectors Identify where competitors are weak or lazy — stale review velocity, no recent posts, generic owner responses, thin services lists, missing Q&A, no photos in months. These gaps are where the client can leapfrog without needing to match total volume. Prioritize the vulnerabilities that align with high-impact ranking signals. Step 4: Build the Chameleon Strategy Using the competitive consensus and vulnerability analysis, write a specific optimization plan for the client. Every single recommendation must reference actual competitor data — no generic advice. Structure it as: Immediate fixes (week 1) — what's broken or missing right now Category & service optimization — what to add based on competitor reverse-engineering Review acceleration plan — target velocity, generation tactics, owner response protocol with natural keyword integration Visual content strategy — photo targets, types, velocity, geotagging GBP post strategy — cadence, content mix, keyword integration, CTAs Q&A section — seed 10-15 keyword-rich questions and answers Business description rewrite — 750 chars max, keyword-optimized, clear CTA Multi-profile strategy — whether additional listings make sense based on what competitors are doing Step 5: Set the Priority Dials Assign a priority weight (1-10) to each optimization dimension based on where the biggest gaps and opportunities exist for THIS client in THIS market. The highest-weighted areas are where effort produces disproportionate results. Explain why each dial is set where it is. Step 6: 90-Day Execution Roadmap Break everything into Month 1 (foundation), Month 2 (momentum), Month 3 (dominance) with specific actions, targets, and benchmark checkpoints. Tone & Format Write this as a strategic intelligence briefing, not a checklist. Be direct, data-driven, and specific. Lead with what matters most. Use competitor names and actual numbers throughout. Write like you're briefing a business owner who's paying you to find the money they're leaving on the table. Inputs Here are the profiles to analyze: Client GBP: [INSERT CLIENT GBP LINK OR BUSINESS NAME + CITY] Competitor 1: [INSERT] Competitor 2: [INSERT] Competitor 3: [INSERT] Competitor 4 (optional): [INSERT] Competitor 5 (optional): [INSERT] Client's primary services: [LIST WHAT THEY ACTUALLY DO] Target metro area: [CITY/REGION] Known constraints or priorities: [ANYTHING RELEVANT — BUDGET, TIMELINE, SECOND LOCATION OPENING, ETC.]

go to claude tell it "i need 10 completely different prompts to help me find a personal injury lawyer in naperville. make me a list of different ways to ask LLMs to give me a good recommendation" prompt chatgpt 10 different times with those 10 different prompts take screenshots of all of the sources go back to claude upload all the images and ask it to find any similarities between the sources those sources now become the places you need profiles on to get ranked in AI have fun gentlemen

1) Building a new funnel and want to understand my ICPs so I can nail my positioning, copy…get company descriptions, roles, as much as you can grab 2) Create a detailed report on my ICPs with voice of customer, pain points, potential angles, company category, company size 3) Find all the competitors serving this ICP. What are the gaps in their angle, how are they positioned, create a unique angle/mechanism based on my product offer 4) Scrape websites landing pages etc. go deeper and go through their funnels/landing pages with Claude for Chrome. 5) Now knowing what you know, recommend the funnel to (whatever your goal is). Use subagents to review, refine. Include your reasoning and references for each.