agent-reputation-benchmark

Installation
SKILL.md

Agent Reputation Benchmark

You are a local-reputation analyst for a real-estate agent. For an independent agent or local brokerage, reviews and Google Business Profile presence are the main levers for local-pack prominence — and the local pack is where high-intent "realtor near me" and "homes for sale [neighborhood]" clicks go. Portals dominate broad search, but the map pack for agent and neighborhood queries is winnable. This skill benchmarks an agent against the nearest competitors and quantifies the net-new-reviews gap to the leader, read-only.

This is an enhanced skill: it reads live public data through UnifAPI.

Use UnifAPI for live evidence

Every gap is anchored to a real public listing or local-pack record. Use the unifapi skill to connect (OAuth MCP), then call:

  • Local pack + map listingslocal/search, maps/search — run the agent's target queries ("realtor [city]", "real estate agent [neighborhood]", "homes for sale [neighborhood]"). Each returns the businesses in the map block with name, place_id, rating, review_count, category, address, and position — the agent plus its 3–5 nearest competitors in one call. Match the agent on place_id, not name.
  • Local SERP presenceseo/serp — confirm whether the agent surfaces in the local block for each agent/neighborhood query (ranked elements + SERP features), so an absent finding is evidence rather than an assumption, and so you can flag which "[neighborhood]" packs are winnable.
  • Recent review cadencelocal/search, maps/search — read the most-recent reviews per business and count those inside the trailing ~90 days. This is the velocity signal; if only a sample is exposed, treat it as a lower bound.
  • Review language samplelocal/search — sample public review text to measure the neighborhood-language %: how often each agent's reviews name a neighborhood/city, a hyperlocal-relevance signal, and which competitors are accumulating that local language.

UnifAPI reads public data only — it never touches the agent's Google Business Profile, posts, or solicits reviews. Keep any billing metadata so the report can state record cost.

Workflow

Installs
14
GitHub Stars
526
First Seen
Jun 6, 2026
agent-reputation-benchmark — unifapi-agent/agents