--- title: Insight-Driven Research Workflow type: article created: '2026-04-05' updated: '2026-04-05' source_docs: - raw/2025-11-12-sales-standup-101039374.md tags: - outbound-sales - prospecting - seo - ahrefs - spyfu - ai-tools - workflow - process layer: 2 client_source: null industry_context: null transferable: true --- # Insight-Driven Research Workflow ## Overview Rather than sending generic automated outreach, this workflow produces a prospect-specific research document in under 15 minutes. The output is a Google Doc containing concrete SEO findings, competitor context, and AI-synthesized insights that can be used across all outreach touchpoints — cold emails, LinkedIn messages, voicemail follow-ups, and discovery calls. The core principle: **lead with value before asking for anything**. When a prospect sees that you've analyzed their site and can name specific numbers (keyword positions, traffic gaps, revenue opportunities), they recognize competence and are far more likely to engage. > "If you lead by saying, hey, here's an insight that I found and I thought you might find it interesting — now the guy's like, huh, you gave me something." — Mark Hope --- ## When to Use This Use this workflow before any first contact with a qualified prospect. The resulting Google Doc becomes the single reference asset for all outreach to that company — emails, calls, and the eventual discovery call with a senior team member. --- ## Step-by-Step Process ### 1. Visit the Prospect's Website Before opening any tool, spend 2–3 minutes on the site itself. - Does it load quickly and look professional? - Check whether the **naked domain** (e.g., `company.com`) redirects to `www.company.com`. If it doesn't, that's an immediate, concrete finding to lead with. - Note the product/service mix and any obvious content gaps. ### 2. Get a Business Summary via Claude Paste the company URL into Claude and ask it to summarize the business: > *"Tell me about this company: [URL]"* Claude will read the site and return a concise overview — business model, products, distribution channels, recent news, and market positioning. This saves you from manually reviewing every page and often surfaces non-obvious details (e.g., a recent Whole Foods expansion, a B2B distribution model). Use Gemini as an alternative if you need more current web-sourced information. ### 3. Run Ahrefs Site Explorer Enter the prospect's domain in **Ahrefs → Site Explorer**. Key metrics to capture: | Signal | What to Look For | |---|---| | **Traffic trend (2-year)** | Flat or declining = stagnation story; growing = opportunity to accelerate | | **Organic keywords** | Total count vs. how many actually generate traffic (the gap is your pitch) | | **Average position** | Positions 11–20 = "just outside the money zone" — easy wins | | **Keyword difficulty** | Low avg. KD (e.g., under 10) = achievable improvements | | **Traffic value** | Monetizes the SEO gap for the prospect | | **Paid keywords** | Zero paid spend = double opportunity (SEO + PPC pitch) | **Export the keyword data** as a Google Sheet or PDF. PDFs tend to parse better when dropped into AI tools. **Take a full-page screenshot** of the Ahrefs overview using the [Awesome Screenshot](https://chrome.google.com/webstore/detail/awesome-screenshot) Chrome extension. This screenshot is used in Step 5. #### Constructing the Opportunity Estimate If you find keywords clustered in positions 11–20 with low difficulty: 1. Estimate additional monthly visitors if those keywords reach page 1 2. Apply a 2% conversion rate and the prospect's estimated average order value 3. Annualize → this becomes your headline number (e.g., "$330k annual revenue opportunity") ### 4. Run SpyFu Competitor Analysis Search the prospect's domain in SpyFu to identify their top organic competitors. - Note which competitors are **growing vs. declining** - Look for market-wide trends (e.g., a sector-wide traffic drop since mid-2024 likely reflects AI search influence) - Identify the top 3–5 competitors by name — you'll reference these in outreach **Strategic framing by scenario:** - *Prospect is growing slightly, competitors declining* → "There's market share to capture as your competitors lose ground" - *Prospect is declining alongside competitors* → "We know from others in your space that traffic has been stagnating — here's how we'd help you recover" Export the competitor list to Google Sheets for the research doc. ### 5. AI Synthesis via ChatGPT (Screenshot Analysis) Drop the full-page Ahrefs screenshot into ChatGPT and ask for an agency-focused verdict. **Before doing this**, configure ChatGPT's Custom Instructions (Settings → Personalization) to establish your agency context. This ensures responses are framed for a marketing agency doing prospect evaluation — not for a generic user. Alternatively, prepend each session with: > *"I am a marketing agency doing cold outreach to potential clients. Analyze this from the perspective of whether this company is a good prospect and what I could help them with."* ChatGPT will return a structured assessment covering: - Domain authority and headroom - Traffic trends and likely causes - Keyword intent mix (informational vs. commercial/transactional) - Competitive positioning - Paid search gaps - A "client fit verdict" summarizing the opportunity --- ## Documenting the Research Create a **Google Doc per prospect** and paste everything in — raw exports, AI outputs, competitor lists, and your own notes. Don't over-format it; just get the content in. **Naming convention:** `[Company Name] Insights - [MMDD]` Example: `Twisted Alchemy Insights - 1125` The date suffix prevents confusion if you revisit or refresh the research later. Attach the Google Doc to the prospect's HubSpot record so it's accessible during calls and email drafting. --- ## Using the Research in Outreach Don't give everything away at once. Drip insights across a multi-touch sequence: - **Email 1:** Lead with one specific finding (e.g., the naked domain redirect issue, or a single keyword gap) - **Email 2 (4–5 days later):** Share a second insight (e.g., the $X revenue opportunity from position 11–20 keywords) - **Email 3:** Reference a competitor by name and what's happening to their traffic For the **intro/follow-up template**, include a placeholder for one insight and a 15-minute meeting ask. A guarantee framing works well: > *"Give me 15 minutes — I guarantee you won't be sorry."* For **LinkedIn outreach**, the same principle applies: name the company, share one observation, offer to share more. --- ## Handoff to Senior Discovery Call Once a prospect expresses interest: 1. **Jacob qualifies** on a brief call — confirm they're willing to engage 2. **Jacob books directly** onto Mark's calendar using the calendar link (don't send the link to the prospect and wait — look at available slots together and make the appointment on the spot) 3. **Mark leads the discovery call**, using the research doc to present findings and move the deal forward --- ## Tools & Access | Tool | Purpose | Access | |---|---|---| | **Ahrefs** | Site Explorer, keyword data, export | Team login (ask for credentials) | | **SpyFu** | Competitor analysis, traffic trends | Team login (credentials via Mark) | | **Claude** | Business summary from URL, interactive analysis | Standard account | | **ChatGPT** | Screenshot analysis, agency-framed synthesis | Standard account; configure Custom Instructions | | **Awesome Screenshot** | Full-page Ahrefs screenshots | [Chrome Web Store](https://chrome.google.com/webstore) — free | | **HubSpot** | Attach research doc, manage sequences | Team account | | **Google Docs** | Per-prospect research document | Team Drive | --- ## Time Estimate A complete research pass takes **10–15 minutes** per prospect. The resulting Google Doc is reusable across all outreach to that company and eliminates the need to re-run research before calls. --- ## Related - [[wiki/knowledge/outbound-sales/automating-steps-not-emails]] - [[wiki/clients/asymmetric/index]] - [[wiki/knowledge/outbound-sales/hubspot-outreach-templates]]