Agent Memory Traffic, SEO & Growth Analysis

getzep.comRag Data Dev InfraDomain 3 years 5 monthsObserved Oct 12, 2026

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Persistent memory for AI agents. Temporal context graphs that track facts across time and ingest every source the agent touches.

  • Multi-channel growth
SIGPIK VERDICT · Sep 2026

Agent Memory visits grew 14% in Sep, spread across several channels

Agent Memory’s organic search traffic went from 22.5K to 25.1K visits in one month, mostly from the non-brand terms below.

Search terms behind the growth
Monthly visits
77.7K
↑ 13.9% · +9.5K MoM
Market rank
#21 / 56
0.3% of market traffic
Domain Rating
68
↑ 2 · vs last month
AI referrals
639
0.8% of traffic, early
01 · How the growth happened

Agent Memory Traffic Trend & Channel Attribution

Monthly visit estimates · 2026-04 — 2026-09 · DR 68, +2 MoM

050K100K150K200KAprMayJunJulAugSep

Sep 2026

77.7K↑ 14%

Where the new visits came from

Monthly visits split by channel share: Agent Memory added 9.5K visits from Aug to Sep, with organic search contributing 26%.

Monthly breakdown
Monthly visits by channel (estimated)
ChannelJunJulAugSep
Total115.6K87.4K68.2K77.7K
Direct62.9K41.9K32.4K34.4K
Organic search27.2K27.3K22.5K25.1K
Referrals16.1K9.6K7.9K7.5K
Organic social3.8K3.3K2.4K4.8K
Paid search9602601K1.7K
Email1.3K1.5K3921.4K
Display ads——529661
Paid social0008
Visit change by channel
ChannelChange barAug → SepChangeShare of changeCurrent share
Organic search+2.5K26%32.3% ↓0.8pp
Organic social+2.5K26%6.2% ↑2.8pp
Direct+2.1K22%44.3% ↓3.1pp
5 other channels+1.4K15%14.5% ↑0pp
02 · What you can borrow

Agent Memory SEO Keywords, Sitemap Pages & AI Referrals

Agent Memory’s acquisition moves across pages, search terms and AI referrals, each with its data source.

Pages · daily Sitemap diff — No bulk page changes lately

We diff its public Sitemap daily. Bulk launches or removals will appear here and alert watchers.

Search · source keywords — Non-brand terms bring 100% of search traffic

Non-brand terms are traffic anyone can compete for; higher CPC means higher commercial value.

Borrow: Most of its search traffic comes from non-brand terms (e.g. “zep”, “zep ai”). Find the needs your product also serves and capture them with tool or landing pages.

AI referrals · ChatGPT, Copilot… — AI referrals are early — not a growth source yet

639 visits from AI assistants (previous month 488), 0.8% of all traffic.

  • ChatGPT93%
  • Gemini7.3%

Borrow: No need to follow yet; watch whether it scales next month.

03 · Full growth history

Agent Memory Promotion History, Backlinks & Launch Timeline

Above is what we observe automatically. The reconstruction starts from these moments, searches launches, community threads, directory listings and backlinks from the same period, fills in what Agent Memory did at each step, and gives you a sequence to follow.

  • Promotion timeline with original sources
  • Traffic before and after each channel
  • Exportable launch action list

Unlock Agent Memory’s promotion research & launch action pack

Review launch channels, backlink evidence and marketing milestones, then export your action checklist. A one-off purchase includes permanent access and regeneration for this product.

  1. Where it launched and who discussed it

    Product Hunt, Reddit, X, directories
  2. Which channels produced new backlinks

    Ordered by first seen
  3. A launch sequence you can follow

    Exportable action list
04 · Same-market benchmark

Agent Memory Competitors & Alternatives Traffic Benchmark

Sep 2026 · RAG, data, and developer infrastructure

ProductMonthly visitsDRMoM
Agent MemoryThis product77.7K68+13.9%
MercorSame market10.6M75-3.9%
Weights & Biases: The AI developer platformSame market1.6M81-19.9%
PineconeSame market415.6K81-4.4%

Each product uses its latest observed month; different months are not a same-period ranking.

Know the next time Agent Memory ships pages in bulk

We diff its Sitemap, backlinks and traffic daily and alert you only on real changes.

Method: visits and channel shares are third-party monthly estimates; channel change = monthly visits × channel share, month over month; site actions and traffic are shown by timing only, not as cause and effect.