Demo deployment — a fresh offline cycle, rebuilt on every deploy. Edits don't persist.

Dashboard

Goals, dispatched agents, and what the system has learned — the CMO's right hand.

Waldo · waldo.fyilatest cyclecyc_3e5bab23508243409cffcompleted11m ago
Active goals
5
8 total across all channels
Goals on track
1/5
≥ 75% of target, direction-aware
Runs · last 7d
10
100% success rate
Learnings
21
1 open Adveron data gap

Goal progress

per channel
All goals →
Ambassadorsactive

25 active ambassadors

14 ambassadors
target 25 ambassadors
active_ambassadors56% of target · per month
Eventsactive

2 events per quarter

1 events
target 2 events
events_hosted50% of target · per quarter
Owned Mediaactive

2 viral posts per week

1 posts/week
target 2 posts/week
viral_posts50% of target · per week
SEO / AEOactive↓ lower is better

Average rank ≤ 5 for target queries

12.3 rank
target 5 rank
avg_search_rank41% of target · per month
Social & Communityactive

Engagement rate ≥ 4%

3.5%
target 4%
engagement_rate89% of target · on track · per month

Latest cycle narrative

cyc_3e5bab23508243409cff

Cycle plan: 10 brief(s) across 5 channel(s), covering 5 active goal(s). Off target: Owned Media (viral_posts), SEO / AEO (avg_search_rank), Social & Community (engagement_rate), Ambassadors (active_ambassadors), Events (events_hosted). Each of those channels gets a diagnostic brief alongside its production brief. Market hook of the cycle: "Agents are doing the marketing work now" — the strongest-momentum narrative Adveron is seeing. Briefs came from the deterministic template planner (no LLM key available, or the model call fell back).

Inputs seen · Brand: Brand: Waldo (waldo.fyi) — An AI startup building the data and orchestration layer for marketing agents. We run our own marketing on our own products, in public. Category: AI marketing tools Products: Adveron — Brand and audience intelligence data layer for marketing agents.; mos — Marketing OS that sets goals, orchestrates marketing agents, and learns from what they ship. Audience: growth and marketing leaders at startups and AI-forward brands Voice: sharp, technical but human, no hype Competitors: Brandwatch, Similarweb, SparkToro Constraints: no fabricated metrics or customers; no disparaging named competitors Goals (5 active): - [Owned Media] 2 viral posts per week: viral_posts 1 posts/week vs target ↑2 posts/week per week — off target - [SEO / AEO] Average rank ≤ 5 for target queries: avg_search_rank 12.3 rank vs target ↓5 rank per month — off target - [Social & Community] Engagement rate ≥ 4%: engagement_rate 3.54 % vs target ↑4 % per month — off target - [Ambassadors] 25 active ambassadors: active_ambassadors 14 ambassadors vs target ↑25 ambassadors per month — off target - [Events] 2 events per quarter: events_hosted 1 events vs target ↑2 events per quarter — off target Performance: Performance summary — latest period ending 2026-08-05T20:53:31.354Z (1 period(s) on file, 62 snapshots scanned). Owned Media - engagement_rate: 3.54% [social_owned] - follower_growth: 495 followers [social_owned] - impressions: 135,393 impressions [social_owned] - platform_impressions: 135,393 impressions [social_owned] top: linkedin 59,347 impressions · x 51,543 impressions · youtube 24,503 impressions - posts_published: 9 posts [social_owned] - viral_posts: 1 posts [social_owned] SEO / AEO - avg_search_rank: 12.3 [search_console] - clicks: 298 clicks [search_console] - impressions: 21,362 impressions [search_console] - indexed_queries: 424 queries [search_console] - query_avg_rank: avg 10.4 [search_console] top: adveron 1.5 · brand intelligence api 6.8 · marketing os 8.1 · answer engine optimization 10.9 - query_clicks: 287 clicks [search_console] top: marketing os 77 clicks · answer engine optimization 59 clicks · adveron 57 clicks · brand intelligence api 39 clicks Paid Ads - cac_usd: avg $45 [google_ads, meta_ads] top: meta_ads $38 · google_ads $52 - campaign_spend_usd: $1,666 [google_ads] top: aeo-intent-terms $797 … Market intelligence (Adveron): Brand perception — sentiment 0.59, share of voice 6%. Associated with: AI agents that do marketing work, answer-engine optimization (AEO), building in public, developer-grade marketing stack, small team, big surface area. Waldo over the last 90 days: Waldo is read as an agent-native challenger: people file it next to the AEO/LLM-visibility wave rather than next to legacy listening suites. The two-product story (Adveron as the data layer, mos as the orchestration layer) is understood by practitioners but blurs for non-operators. Strongest association is "AI agents that do marketing work"; the loudest objection is proof rather than concept. Trending narratives in AI marketing tools: "Agents are doing the marketing work now" (momentum 0.99) — The conversation moved from 'AI writes drafts' to 'AI runs the channel'. Practitioners are comparing agent output to junior-hire output and publishing the receipts. | "AEO is eating SEO" (momentum 0.90) — Answer-engine optimization has crossed from niche to default vocabulary. Teams are re-scoping SEO roles around being cited by LLMs rather than ranking on page one. | "Brand presence inside LLM answers is the new share of voice" (momentum 0.87) — Brands are discovering they are absent, mis-described, or beaten by a competitor inside ChatGPT/Claude/Perplexity answers, and treating that as a measurable brand-equity problem. Channel opportunities: ambassadors: Formalise the people already recommending you into an ambassador roster with early access, a private channel, and shareable experiment results. — why now: Advocacy already exists but i… Learnings carried in: 0

Recent runs

All runs →
RunAgentChannelStatusDurationWhen
run_192a91b6631c49289fccVenueEventssucceeded170ms11m ago
run_ec7f3a4918f846b4ac96VenueEventssucceeded201ms11m ago
run_14eab1d1531c4627ab3aCircleAmbassadorssucceeded170ms11m ago
run_f905351a02664e21996fCircleAmbassadorssucceeded138ms11m ago
run_f13aa85fe02d41aead86ChorusSocial & Communitysucceeded202ms11m ago
run_34d86a89799d4813b5d3ChorusSocial & Communitysucceeded152ms11m ago
run_52a3e7d0da934f7d95c5IndexSEO / AEOsucceeded275ms11m ago
run_73fbb4efbc2f4b4d9f04IndexSEO / AEOsucceeded285ms11m ago

Adveron data gaps

questions the intelligence layer couldn't answer
Dogfood log →
  • medium11m ago

    Which community formats (AMA, build-in-public thread, Discord office hours, live teardown) currently drive the most qualified engagement for technical B2B products?

    asked by agent_3463e3543bec4e3e89fe