The Scenario
You're a sales rep at an SEO agency and your prospect list has 150 domains in your Excel workbook. The pitch your agency leads with is organic SEO growth — but going into a call without knowing whether the prospect is a heavy paid-search spender is how you get 45 minutes into a demo and find out they're locked into a paid agency contract with no plans to shift.
Adyntel pulls paid vs. organic keyword data by domain. You've known about it for two weeks. The problem is that running it for 150 domains means 150 manual queries, and the rep who was supposed to pull this before the campaign launched is now at a different company. The domains are in your Excel workbook. The columns next to them are empty.
The bad version:
- Query Adyntel's API manually for the first domain, note the paid vs. organic breakdown, paste a label into column B
- Realize the response has more nuance than a binary label and you need columns C through G to capture it properly
- Redo the first twelve rows to fit the expanded column structure, continue for the remaining 138 domains with the knowledge that your first twelve rows won't match
Your first call using this sheet is tomorrow morning.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the 150 domains in column A and connects to Adyntel to pull paid vs. organic keyword data for each one — no manual API calls, no column structure mismatches.
With your prospect domains in column A:
For each domain in column A, fetch the paid vs organic keyword data from Adyntel and add a 'paid reliance score' in column B — label it 'high' if more than 60% of traffic is paid, 'mixed' if between 30% and 60%, and 'organic-first' if below 30%
What You Get
- Column B: paid reliance score (high / mixed / organic-first) for each domain
- Consistent labeling across all 150 rows, applied using the same threshold logic
- Domains where Adyntel has no keyword data get a clear note — not a blank that looks like it passed the check
What If the Data Is Not Quite Ready
You want both the label and raw traffic percentages so you can sort later
For each domain in column A, fetch paid vs organic keyword data from Adyntel, write the paid traffic percentage to column B, organic traffic percentage to column C, and apply the reliance label to column D using the 60% / 30% thresholds
Some domains are subsidiaries — you want to flag them before pulling so you're not scoring the parent company
Check each entry in column A — if it looks like a subdomain or subsidiary, flag it in column B as 'review domain'; for the rest, pull paid vs organic data from Adyntel and write the reliance score to column C
You want the top 5 paid keywords per domain for call prep notes
For each domain in column A, pull paid vs organic keyword data from Adyntel, write the reliance label to column B, and list the top 5 paid keywords in columns C through G
One prompt that flags high-paid-reliance domains, pulls their top keywords, and adds a call-prep note
For each domain in column A, pull paid vs organic keyword data from Adyntel; label paid reliance in column B; list the top 3 paid keywords in columns C, D, and E; and in column F write a one-sentence call-prep note for 'high' domains — something like 'Heavy paid dependency — pitch as diversification play'
The call list is ready before you close the workbook.
Try It
Get the 7-day free trial of SheetXAI and open your prospect domain list in Excel, then ask it to pull paid vs. organic keyword data from Adyntel and score each row. Also see pulling LinkedIn ad creatives and the full Adyntel overview.