How it works

Scout. Score. Outreach.

Apex Agents is an AI revenue engine for local businesses. Agents find prospects, score them on nine signals, and draft outreach you would actually send — so you spend time closing, not hunting.

Three steps from zero to a live queue

The same loop we run for our Indianapolis 24-hour shop.

01

Agents Scout & Score

Configured agents continuously look for local businesses in your target niche and city. Each prospect is enriched with public listing data — rating, review history, category, and obvious gaps — then scored across nine signals so you only see the prospects worth a conversation.

Scouting is ongoing, not a one-time list dump. New businesses and changing listings flow into the same scoring pass, so the queue stays current without a weekly spreadsheet ritual.

02

Personalized Outreach Builds

The builder drafts a tailored pitch for each lead. Messages reference what is actually on the listing: star rating, review count, missing photos or hours, and local SEO gaps — not a mail-merge first name and a generic claim.

You stay in control. Review, edit, or hold a draft from the dashboard. The point is relevance: a shop with stale reviews hears a different note than a shop with no website at all.

03

Publisher Sends. You Close.

Approved outreach goes out on a schedule. Replies land where you already work. You step in when a prospect wants a conversation — the engine keeps scouting and scoring in the background.

Follow-ups are part of the same loop. Nothing relies on you remembering to nudge a lukewarm lead at 9 p.m. after a full day in the shop.

Nine signals, one score

Leads land on a 0–200+ scale. The nine inputs below are why the highest-value prospects rise and the rest stay out of your way.

Signal 1

Google rating

Current star rating versus what customers in that category usually expect. A weak rating is a conversation; a strong one is a different offer.

Signal 2

Review volume

How many public reviews exist. A thin profile is a different opportunity than a busy listing that has gone quiet.

Signal 3

Review recency

Whether recent customers are still talking. Listings that went silent are often easier to help than ones already in a daily review cadence.

Signal 4

Owner response rate

If the business replies to reviews. Silence on public feedback is a signal they may not have a process — and may want one.

Signal 5

Listing completeness

Hours, photos, categories, and attributes. Incomplete Google Business profiles leak demand to whoever looks more finished.

Signal 6

Website presence

Whether there is a working site and the basics (contact, services, location). No site, or a site that does not match the listing, is scored as a gap.

Signal 7

Local SEO gaps

Name, address, and phone consistency plus obvious map-pack weaknesses. The outreach can name the gap instead of selling "SEO" in the abstract.

Signal 8

Niche fit

How closely the business matches the offer you actually sell. Scoring exists so tire-kickers outside your niche do not eat the queue.

Signal 9

Opportunity window

Competitive density and whether the listing looks neglected relative to nearby peers. High opportunity plus high fit rises to the top of the 0–200+ score.

Founding users get the system we actually run

This stack was built to run our Indianapolis 24-hour shop. Early access means the same scouting, scoring, and outreach loop — not a demo that diverges from production.