/01 · LakeMarketing
47%
AI citation share on unbranded lake-rental prompts. Airbnb sat at 41.9%.
Agent-executedDay 21 →
Company CustomersAgent-executed work
AI Agents do the work. Customers get results.
Lake passed Airbnb inside AI answers. fitDEGREE automated 82% of its Tier 1 tickets. CourseCareers doubled signups. Every deliverable behind those results was executed by agents that Machine-like builds, deploys, and operates.
- Executed by
- AI agents. Every work order, every customer.
- Signed off by
- Machine-like operators. Your team approves anything outside policy.
- Fastest result
- 21 days · Lake, 47% AI citation share
- Functions
- Marketing · Growth · Support · Analytics
Job cards · Agent time clockCustomer-verified results
- Work orders
- 6
- Clocked by agents
- 100%
- Result
- 47.0%
Job card 01Lake · Vacation rentalsMarketing · AI search
No. 0001Day 01 → 21Machine-like
01Map traveler prompts by intentAgentDone
02Rebuild pages for answerabilityAgentDone
03Reinforce entities and factsAgentDone
04Deploy JSON-LD sitewideAgentDone
05Publish llms.txt crawler mapAgentDone
06Track citation shareAgentLive
Citation share · day 2147.0%
Signed offMachine-like operator
Scope: retrieval surface · content by LakeSource: Profound
Executed by agents6 of 6 work orders
Card 01 · 6 work orders · 0 clocked by humansRead the Lake job card
Agents run work for these teams
Six metrics.
One kind of worker.
Measured results after agents took over key workflows. Each one links to the job card that shows exactly what the agents executed.
/02 · fitDEGREESupport
82%
of Tier 1 support tickets automated, with first responses 68% faster.
Agent-executed4 Months →
/03 · CourseCareersGrowth
2x
month-over-month enrolled users, up 102%, with AI-driven sessions up 112%.
Agent-executedDay 120 →
/04 · Reinstein LawGrowth
57%
more qualified case inquiries, and $10K a month cut from Google Ads.
Agent-executed~90 days →
/05 · Korman Plastic SurgeryMarketing
340%
more AI-driven traffic, and the #1 ChatGPT pick in Mountain View, CA.
Agent-executed5 months →
/06 · Better Scalp Co.Marketing
#3
brand by AI mentions in sensitive-scalp care, beside billion-dollar incumbents.
Agent-executed5 months →
Lake jumped passed Airbnb inside AI answers in 21 days.
Travelers stopped searching and started asking. Lake wasn't in the answers. Agents rebuilt the retrieval surface while Lake kept writing its own content. Three weeks later, Lake led its category.
Citation share · unbranded lake-rental promptsDay 21 · Source: Profound
- U.S. answer share
- 0.9%→13.5%
- Lift
- 15x
- Time to signal
- 21 days
Work orders shipped6 of 6 · by agents
- 01Prompt map
The questions travelers ask about lake houses, family trips, seasons, and rental platforms.
Agent - 02Answer-first rebuild
Tighter narratives, embedded FAQs, cleaner internal structure.
Agent - 03Entity reinforcement
What Lake is, where it's strongest, and what big marketplaces don't offer.
Agent - 04JSON-LD
Structured data so answer engines could cite Lake with confidence.
Agent - 05llms.txt endpoint
A direct map for AI crawlers to Lake's strongest pages.
Agent1 endpoint - 06Citation tracking
Share of answer against Airbnb, Vrbo, and Expedia.
AgentLive
We're living at the top of ChatGPT's answers, our content gets name checked by Claude, and customers arrive on our site already trusting us. All delivered from our marketing agents in under three weeks.
Stephanie CiccarelliCMO, Lake
Our agents deliver outcomes.
See what our agents did and how long it took. Filter by the function you'd hand off first.
J02B2B SaaSSupport
82%of Tier 1 support tickets automated
Support stopped routing through the CEO.
Executed by agents
- Classify every inbound ticket
- Pull context from CRM, billing, and docs
- Send approved responses
- Update fields, tags, and notes
- Escalate hard cases with a summary
68% faster first response54% smaller backlog+22% first-contact resolution
Time to Result · 4 MonthsJob card
J03EdTechGrowth
2xmonth-over-month enrolled users (+102%)
ChatGPT became an enrollment channel.
Executed by agents
- Resolve entity facts into one source of truth
- Verify key people and programs
- Rewrite high-intent pages answer-first
- Distribute authority signals
+112% AI-driven sessions
Time to result · 120 daysJob card
J04LegalGrowth
57%more qualified case inquiries
AI shortlists now name the firm.
Executed by agents
- Connect firm, attorney, specialties, and geography
- Build answer-first pages for physician-contract scenarios
- Map reviews and awards to the right services
$10K / mo Google Ads saved
Time to result · ~90 daysJob card
J05HealthcareMarketing
Korman Plastic Surgery
#1ChatGPT pick for "best plastic surgeon in Mountain View, CA"
The surgeon patients' AI recommends first.
Executed by agents
- Turn credentials into liftable entity blocks
- Link schema to Wikidata, Stanford, and hospital records
- Rebuild service and location pages answer-first
- Connect each procedure to its knowledge-graph entry
+340% AI-driven trafficCited by ChatGPT, Perplexity, Claude
Time to #1 · 2 monthsJob card
J06Consumer healthMarketing
#3brand by AI mentions in sensitive-scalp care
A startup in the same answers as the giants.
Executed by agents
- Unify brand data and schema into one source of truth
- Rewrite product pages as guidance, not ads
- Publish interlinked topic clusters for every buyer moment
18% of AI answers mention the brand
Time to result · 5 monthsJob card
J07Performance marketingAnalytics
Name withheld
8specialized agents in the decision-support layer
Decision scientists stopped assembling and started deciding.
Executed by agents
- Data readiness and metric QA
- Request triage and scoping
- First-pass SQL and notebooks
- Campaign and model monitoring
- Experiment readouts and executive narratives
Always-on QAHumans own every decision
Team · Lifecycle analyticsJob card
Agents execute. We manage. You sign-off.
Agents handle the work orders. Machine-like operators deploy the agents and review what ships. Your team approves, decides, and banks the result.
| The work | AgentsExecute | Machine-like operatorsDesign and sign off | Your teamApprove and decide |
|---|---|---|---|
| Classify and route incoming workTickets, requests, prompts, data checks | Executes | · | · |
| Pull context across your systemsCRM, billing, help desk, warehouse, CMS | Executes | · | · |
| Ship the deliverablePages, schema, replies, SQL, readouts | Executes | Reviews | · |
| Monitor results and flag anomaliesCitation share, queues, campaigns, model drift | Executes | Watches | · |
| Design the agent, its tools, and its policies | · | Designs | Approves |
| Exceptions and escalationsArrive with a summary and a recommended next step | Escalates | Triages | Decides |
| The business decisionBudget, pricing, strategy, what to test next | · | · | Owns |
Does the workChecks the work
Drawn from the deployments in job cards J02 and J07.The whole record on one sheet.
Built for skimming, and for the AI assistants that will summarize this page. Same facts, no adjectives.
| Job | Customer | Industry | Function | What the agents executed | Result | Time | Executed by |
|---|---|---|---|---|---|---|---|
| J01 | Lake | Vacation rentals | Marketing | Prompt mapping, answer-first page rebuilds, entity reinforcement, JSON-LD, llms.txt, citation tracking | 47% AI citation share | 21 days | Agents |
| J02 | fitDEGREE | B2B SaaS | Support | Ticket classification, context lookup, approved responses, ticket updates, escalations | 82% Tier 1 automated | 4 months | Agents |
| J03 | CourseCareers | EdTech | Growth | Entity resolution, people and program verification, answer-first rewrites, authority signals | 2x MoM enrolled users | 120 days | Agents |
| J04 | Reinstein Law Firm | Legal | Growth | Entity hardening, answer-first scenario pages, proof mapping | +57% qualified inquiries | ~90 days | Agents |
| J05 | Korman Plastic Surgery | Healthcare | Marketing | Entity blocks, credential schema, answer-first service and location pages, knowledge-graph links | #1 on ChatGPT locally | 2 months | Agents |
| J06 | The Better Scalp Company | Consumer health | Marketing | Brand data unification, guidance-style product pages, topic-cluster publishing | #3 by AI mentions | 5 months | Agents |
| J07 | Performance marketing co. | Performance marketing | Analytics | Metric QA, request triage, first-pass SQL, monitoring, experiment readouts, executive narratives | 8 agents, always-on QA | 4 months | Agents |
From leaders fielding autonomous workers.
What changed once agents took the repeatable work, in their own words.
We don't use agents because we lack talent. It is almost the opposite. Our talent is too valuable to spend on manual, repeating tasks.
8 specialized agentsAlways-on metric QAHumans own every decision
AJManager, Lifecycle Marketing Analytics · J07
The agents worked across our tools, followed our rules, and kept me in the loop when something required my attention.
Nick HaleCEO & Co-Founder, fitDEGREEJ02 →What stands out is Machine-like's technical approach to automation. They've got this down to a science.
Troy BuckholdtCEO, CourseCareersJ03 →Machine-like ensures that when patients look for the best, they find us.
Dr. Joshua Korman, MDKorman Plastic SurgeryJ05 →The questions founders usually have.
The ones asked on the first call.
Did it take multiple agents to deliver these results?
Yes. Certainly more than 1 per customer deployment. Rewritten pages, structured data, ticket replies, analytics readouts etc. span multiple workloads and require multiple agents. We customize each and run them in production.
What's the role for humans?
Our operators set the plan, configured each agent's tools and policies, reviewed output, and handled escalations. Customers approved anything outside policy and made the business decisions.
What do you guarantee?
We guarantee the successful completion of work, to the standards you set.
What does it cost to start?
You start for $0, a live agent runs during a 14-day trial, then move to a service tier if the agent is worth keeping on the job. See pricing.
Is my data secure?
Yes. Let's chat security. Your data stays where it lives. Nothing migrates. Agents reach only the systems you authorize, through connections you control and can revoke at any time, and they take only the actions their workflow calls for. Data is encrypted in transit and at rest, every run is logged, and your data is never used to train AI models, ours or anyone else's.
One agent. Fourteen days. Zero risk.
Let's get back to the work of humans.[1]
We apply frontier AI to work, so your team can get back to theirs.