HiveMindkeystone
The moat. Anonymized, pattern-based intelligence from the entire collective — every seller makes the Hive smarter, and you inherit every lesson. Never another seller’s private data.
Hive confidence96%
The Amazon PPC platform that gets smarter every time a seller joins.
Every seller forages the field and brings the signals back to the Hive. Your data stays private. The patterns are shared.
Smarter ads. Stronger SEO. Clearer AEO.
From search terms to shopper intent — one system that understands your product before it spends a dollar of your budget.
Ad Intelligence
Audit waste, negate bleeders, and scale proven winners against a strict rule engine — never against vibes.
wastescale
Keyword Harvesting
Graduate converting search terms into exact-match campaigns automatically, and negate them at the source.
“phone mount”→exact ✓
AEO Intelligence
See how AI shopping surfaces your product, where intent meets conversion, and exactly which gaps to close.
AI-cited
Product Context
The Hive learns what your product is — and is not — for. Every recommendation cites that context as its reason.
Spend & Profit
True TACoS, real margins, and budget pacing in a single view, so every decision is a profit decision.
True TACoS6.8%
Your command center
Every signal, one screen.
KPIs, performance trends, the action queue, and the AI Strategy Assistant — your whole Amazon operation at a glance, every recommendation citing your own data.
Preview · sample data
Advisor — 4 recommendations ready, each citing your own data.
Ad spend · 30d
$5,420
▼ 8%
True TACoS
12.4%
▼ 2.1pt
True profit · 30d
$18,240
▲ 14%
HiveScore
74
▲ 6
Performance trend
Last 30 days
Action queue
Lower bid · office desk
86%ACoS 41% — over your 28% target
Negate · cheap desk
91%$210 spent, 0 orders in 30 days
Raise bid · standing desk memory
78%ACoS 19% — room to scale
Why ForageHive is different
Not another PPC AI tool.
Every platform claims “AI.” Most are rule engines with a chatbot bolted on. The Hive is a different animal — here’s what that means for your account.
Why Revenue Per View
Same ACoS. Different truth.
Every Amazon dashboard optimizes for ACoS — cost versus the sales it can attribute. Fine for accounting, blind to the total revenue each click actually earns.
Revenue Per View is total sales ÷ clicks — the store revenue you earn for every shopper who clicks through and views your product. It reveals the campaigns quietly carrying your account — and the ones quietly leaking it.
- Catches the leak before ACoS does. A campaign that draws clicks but no sales has no ACoS to report, yet still burns budget. RPV reads zero and flags it on day one.
- Surfaces hidden winners. High RPV with healthy ACoS is the scale signal that compounds your account.
- Fleet-calibrated thresholds. Loss thresholds are not guesses — they are set against the Hive's anonymized data across sellers in your category.
Same ACoS · very different RPV
SP — Phone Mount (Auto)▲ scale
Spend
$420
Clicks
300
Total sales
$2,100
RPV
$7.00
SP — Phone Mount (Brand)▼ leak
Spend
$420
Clicks
1,400
Total sales
$1,400
RPV
$1.00
Both spend $420 at a 30% ad-sales ACoS. One earns $7.00 of total sales per click — scale it. The other buys 1,400 cheap clicks for $1.00 each — clicks that barely convert.
Why AEO — AI Engine Optimization
Amazon shopping is becoming AI shopping.
AI assistants answer product questions in plain English. Voice takes orders without a search page. The traditional ad slot is shrinking — and the listings AI engines cite win the shelf.
AI Engine Optimization tunes your listings, keywords, and ad structure for how AI engines parse, cite, and recommend products. The Hive already maps which buyer-question shapes convert in your category.
AI shopping query
“What’s the best dishwasher-safe phone mount for my F-150?”
Model-fit answer in the bullets?✓
Material durability cited in A+ content?✓
Dishwasher-safe stated explicitly?✕
Targets the long-tail buyer question?✓
AEO score3 of 4 · medium
Stockout protection
Never burn spend on a SKU that’s about to run out.
The fastest way to incinerate a budget is to scale a winner whose product is a week from stockout. By the time the buy box drops, you have paid for clicks you cannot fulfill — and lost your organic rank.
The Hive reads every SKU’s units, reorder trigger, and lead time before it recommends scaling. A winner in “reorder now” status never gets the green light to spend more.
Engine decision logtoday
SCALE blockedB0DEMO103 · SP-Bestseller
8 days of stock left, 14-day lead time. Status: reorder now.
SCALE approvedB0DEMO105 · SP-Car-Charger
125 days of runway at current velocity. Plenty of room — scale fits.
BID cut auto-appliedB0DEMO104 · SP-Wallet
3 units vs trigger of 5. Critical — pulling bid 40% to slow the burn.
Context first. Then action.
No one knows the product like the seller. ForageHive gets the context first, then earns every recommendation.
- 1
Connect
Link Amazon Advertising and SP-API in minutes. Read-only by default — nothing changes until you approve it or you choose to switch automation on.
- 2
Build context
Tell the Hive what makes your product different — or let it interview you and read the summary back to confirm.
- 3
Act on signals
Approve recommendations that cite your own data and context. Nothing fires unprompted.
Fleet learning
Every seller makes the Hive smarter.
Every seller gets every lesson back.
A fleet of self-driving cars shares what each learns about every road. The Hive’s fleet of accounts shares what each learns about every PPC decision. The more sellers join, the stronger the Hive — and the smarter your account gets, automatically.
Your numbers never appear in another seller’s view. You inherit only anonymized, category-wide patterns — never anyone’s private data. Privacy is the architecture, not a promise.
Example recommendationscored by the HiveMind
Negate “shower phone holder” on the SP-Auto campaign?
Don’t negate — it’s a core use case
It converts above the category median and describes what the product is actually for. Negating it would cut a proven winner — and the Hive has watched this exact pattern play out across sellers in your category.
Hive confidence96%
Every recommendation ships with a confidence score, the data behind it, and the rule it fired — so you know exactly how sure the Hive is before you approve.
01
Rules that earn their place
Every recommendation is scored 14 days later. Rules that consistently make money keep firing; rules that don't get flagged for review.
02
Search terms with a track record
Your term suggestions come pre-filtered against the patterns sellers in your category already proved out.
03
Benchmarks that aren't fiction
Real median and quartiles from sellers in your category, recomputed weekly. You see your true percentile, not a blog-post guess.
04
New rules from real outcomes
When the Hive spots a pattern the hard rules miss, it surfaces the candidate for review. Promoted patterns become rules everyone benefits from.
Questions, answered.
What is ForageHive?
ForageHive is an AI-powered operating system for Amazon sellers. It unifies PPC management, keyword harvesting, SEO, AEO, shopper-intent analysis, and inventory-aware budgeting in one place — and it gets smarter for every seller as more sellers join the Hive.
Who is ForageHive for?
ForageHive is built for Amazon sellers and agencies who want to grow ad-driven revenue without living in spreadsheets — from solo sellers spending a few thousand dollars a month to brands managing large catalogs.
How is ForageHive different from other Amazon PPC tools?
Most PPC tools are rule engines with a chatbot bolted on. ForageHive is built by active Amazon sellers, optimizes for RPV and AEO instead of just ACoS, and its HiveMind sharpens with every seller who joins — so it compounds over time instead of degrading.
What is the HiveMind?
The HiveMind is ForageHive's collective intelligence layer. It learns anonymized, category-wide patterns from every seller's outcomes and feeds them back as sharper recommendations — without ever exposing any individual seller's private data.
Is my account data shared with other sellers?
Never. Cross-seller intelligence is built from anonymized, category-wide patterns with no seller identity attached. Your numbers stay yours.
Is it safe to connect ForageHive to my Amazon account?
Yes. ForageHive connects through Amazon's official OAuth, is read-only by default, and encrypts your credentials. Nothing changes in your account until you approve it or you choose to turn automation on — and automated changes are capped, logged, and reversible. You can disconnect at any time.
Does ForageHive change my Amazon account automatically?
No. Every recommendation lands in an action queue for your approval. Nothing executes without your explicit sign-off, unless you choose to turn on an autonomous mode yourself.
Which Amazon ad types does ForageHive manage?
ForageHive connects through the official Amazon Advertising API to manage Sponsored Products, Sponsored Brands, and Sponsored Display, and pulls Selling Partner (SP-API) data for true TACoS and inventory-aware decisions.
What is RPV, and why does it matter?
Revenue Per View (RPV) is total sales ÷ clicks — the store revenue you earn per shopper who clicks through and views your product. It catches budget leaks ACoS can't see and surfaces the campaigns quietly carrying your account.
What is AEO?
AEO (AI Engine Optimization) means tuning your listings and ads for how AI shopping assistants parse, cite, and recommend products — not just how legacy search ranks them.
What is TACoS, and does ForageHive track it?
TACoS (Total Advertising Cost of Sales) measures ad spend against total revenue, not just ad-attributed sales. ForageHive computes true TACoS from SP-API total-sales data, so you can see whether ads are growing the whole business — not just shifting attribution.
When can I start using ForageHive?
Create a free account, connect your Amazon Advertising and Selling Partner accounts through Amazon's official login, and ForageHive starts reading your data within minutes. Recommendations begin once your first reports land.
How much does ForageHive cost?
ForageHive uses founder pricing set by the Hive Intelligence Score — a 20-tier ladder from $29/mo that only ratchets up as the Hive grows. The rate you lock the day you join never rises while you stay subscribed. Operational capacity (accounts, campaigns, keywords) is a separate add-on tier: Free, Starter, Growth, or Scale.
What is the difference between ACoS and TACoS?
ACoS (Advertising Cost of Sales) is ad spend divided by the sales Amazon attributes to the ad — it only sees ad-credited revenue. TACoS (Total Advertising Cost of Sales) is ad spend divided by total revenue, so it shows whether ads are growing the whole business, not just shifting attribution. ForageHive computes true TACoS from SP-API total-sales data.
Can ForageHive manage multiple Amazon accounts or agency portfolios?
Yes. Capacity scales with your usage tier — up to 20 Amazon accounts on the Scale tier — so agencies and multi-brand sellers can run a whole portfolio from one workspace, with every account isolated.
What is a SKAG, and why does ForageHive use single-keyword ad groups?
A SKAG is a single-keyword ad group — one keyword per campaign. It gives each term its own clean budget, bid, and performance signal, so ForageHive can read exactly which keyword earns and act on it without cross-contamination. That's why campaigns and keywords scale together in ForageHive.
Does ForageHive optimize for AI shopping assistants like Amazon's Rufus?
Yes — that's AEO (AI Engine Optimization). ForageHive tunes your listings, keywords, and ad structure for how AI assistants parse, cite, and recommend products, and maps which buyer-question shapes convert in your category — so you win the shelf as shopping shifts from search pages to AI answers.
Does ForageHive need write access to my Amazon account?
ForageHive connects read-only by default through Amazon's official OAuth. Every change is approval-gated — it lands in your action queue and only executes after you sign off, unless you explicitly enable an autonomous mode. You can disconnect at any time.
From the founders
We are Amazon sellers building the tool we wished existed — so you can spend less time worrying about ad spend and more time running and scaling your business. The more of us in the Hive, the better we all get.
Built by sellers, for sellers
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