The Scenario
You're three weeks into a new sales push and your prospect list has 150 domains in it. The pitch your agency leads with is organic SEO — but you know from experience that going into a call cold, not knowing whether a prospect is already paying for search vs. growing organically, is how you get 45 minutes into a demo and find out they have a long-term paid agency contract and zero interest in shifting strategy.
A colleague mentioned Adyntel can pull paid vs. organic keyword data per domain. Someone on the team was supposed to run it for the full prospect list before the campaign kicked off. They left the company. The list is sitting in a Google Sheet with 150 domains and nothing in any of the adjacent columns.
The bad version:
- Query Adyntel's API manually for the first domain, note the paid vs. organic breakdown, paste a 'high paid reliance' or 'organic-first' label into column B
- Realize the API response has more nuance than a binary label — traffic percentages, keyword counts, specific keywords — and decide you need columns C through G too
- Redo the first ten rows to accommodate the expanded format, then continue for the remaining 140 domains, accepting that you'll have a different column structure for the first ten rows than the rest
You needed this data yesterday. The first call is tomorrow morning.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. 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 pasting, no mismatched column structures.
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 label (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 the 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 (high / mixed / organic-first) 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 (e.g., has more than one dot or contains a product prefix), 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 to add the top 5 paid keywords per domain for call prep
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 domains labeled 'high' — something like 'Heavy paid dependency — pitch as diversification play'
The call list is ready before you close the sheet.
Try It
Get the 7-day free trial of SheetXAI and open your prospect domain list in Google Sheets, then ask it to pull paid vs. organic keyword data from Adyntel and score each row. Also see pulling LinkedIn ad creatives or the full Adyntel overview.