Buyer-Intent SERP and AI-Overview Map
Map the affiliate, comparison, and AI-answer landscape that owns a high-intent buying keyword
https://apidirect.io/mcp?token=YOUR_API_KEY
Map who owns the buyer-intent landscape for best {product} {year} across Google results and AI Overview
buyer-intent-serp-ai-map.
Any agent can also call get_skill(skill_id="buyer-intent-serp-ai-map") to pull these steps on demand.
What it does
For a 'best X' query, the ranking pages plus Google's AI Overview reveal who controls the purchase decision and which sources the AI trusts. Comparing classic SERP to AI Mode shows where consensus is consolidating.
Who it's for: SEO, affiliate, and product-marketing teams
Inputs
| Input | Required | Description | Example |
|---|---|---|---|
product |
Yes | The product or category buyers are comparing | project management software |
year |
No | Year to anchor the buying query for freshness | 2026 |
How your agent runs it
-
1
search_web(query="best {product} {year}", pages=3, include_ai_overview=true)Capture the organic ranking domains plus ai_overview.text_parts and ai_overview.reference_links to see who owns the SERP and which sources feed the AI summary.
-
2
search_web(query="{product} alternatives", pages=2, include_ai_overview=true)Pull the alternatives landscape to map which competitors are positioned against each other and which review sites recur.
-
3
google_ai_mode(prompt="What is the best {product} and why?")Capture reply_parts and reference_links to get Google's conversational pick and compare its cited sources against the SERP reference_links.
-
4
google_ai_mode(prompt="Compare the top {product} options on price and features")Extract the head-to-head framing the AI uses and flag any vendor that appears in AI answers but not the organic top results as an emerging mover.
Tools used
The full playbook
This is exactly what the MCP returns to your agent (via the buyer-intent-serp-ai-map prompt or get_skill tool), with your inputs filled in.
SKILL: Buyer-Intent SERP and AI-Overview Map
For a 'best X' query, the ranking pages plus Google's AI Overview reveal who controls the purchase decision and which sources the AI trusts. Comparing classic SERP to AI Mode shows where consensus is consolidating.
You are running this skill on API Direct via its MCP tools. Execute the steps below yourself by calling the named tools in order — values in <angle brackets> come from a previous step. Then deliver the result described at the end.
INPUTS:
- product (required): <product — ASK THE USER>
- year (optional): (optional — e.g. 2026)
STEPS:
1. Tool `search_web` — search_web(query="best <product> <year>", pages=3, include_ai_overview=true)
Capture the organic ranking domains plus ai_overview.text_parts and ai_overview.reference_links to see who owns the SERP and which sources feed the AI summary.
2. Tool `search_web` — search_web(query="<product> alternatives", pages=2, include_ai_overview=true)
Pull the alternatives landscape to map which competitors are positioned against each other and which review sites recur.
3. Tool `google_ai_mode` — google_ai_mode(prompt="What is the best <product> and why?")
Capture reply_parts and reference_links to get Google's conversational pick and compare its cited sources against the SERP reference_links.
4. Tool `google_ai_mode` — google_ai_mode(prompt="Compare the top <product> options on price and features")
Extract the head-to-head framing the AI uses and flag any vendor that appears in AI answers but not the organic top results as an emerging mover.
DELIVER: A landscape map of the domains and vendors that control a buying keyword across organic SERP and Google's AI answers, plus the sources the AI consistently cites.
Note: each underlying tool call is billed at its normal endpoint price; get_sentiment adds a small per-page surcharge. Page through results as needed but stop once you have enough to deliver the outcome.