Product
Marketing Agents
The commercial pillar for the workspace: which agents exist, where humans approve, and how the platform replaces disconnected contractors.
Open Marketing Agents →How it works · measure · execute · prove
AI Search optimization is a weekly operating loop. Not a one-time audit.
Humanswith.ai turns visibility gaps into approved work.
An engineer measures how AI engines describe your brand, chooses the closeable gap, runs Marketing Agents to produce the page or source asset, gets human approval, publishes, and re-measures the lift every week.
AI
SEARCH
LOOP
MeasureGapProduceApprovePublishRescan SEARCH
LOOP
Tracked across
- ChatGPT
- Claude
- Perplexity
- Gemini
- Grok
- DeepSeek
- Kimi
- Google AIO
- Copilot
- Yandex Neuro
- Alice
- GigaChat
Why the route exists
The platform page says what we sell. This page says how the work actually runs.
AEO/GEO work fails when teams split the loop.
The Humanswith.ai workflow keeps measurement, content, technical SEO, and reporting in one workspace, so every asset is tied to a visible gap and every week ends with proof.
01 · Input
Brand, category, competitors
We start with the exact prompts, engines, competitors, and source surfaces that shape buyer recommendations.
02 · Agent work
Brief, page, schema, assets
Marketing Agents produce the work package: source-backed copy, structure, schema, visuals, and publish handoff.
03 · Human gate and proof
Approval, publish, weekly re-scan
The operator approves sources, claims, channel fit, and publication. The next Hermes scan shows whether mentions, citations, and recommendation context changed.
The workflow
Five steps. One owner.
The same engineer who presents the first audit owns the operating loop after onboarding.
- Run the Hermes scan. We scan ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews, Yandex Neuro, Alice, and DeepSeek for your brand, competitors, and category prompts.
- Choose the closeable gap. The operator identifies which missing citation, source type, page, case, or technical fix can change the next answer fastest.
- Produce the work packet. ContentOS, Website Agentic Optimization, and the publishing workflow prepare the canonical page, article, schema, distribution draft, or case asset.
- Approve before publishing. Humans approve evidence, claims, tone, and channel adaptation. The workflow is fast, but not blind.
- Re-measure every week. The next scan shows lift, plateau, or regression. That becomes the input for the following week's work.
The operating principle: every page or article exists because a measured visibility gap demanded it. That is how we avoid content volume for its own sake.
What ships in the first cycle
The first month usually produces fewer assets than a content agency. But each one has a job.
Measurement layer
Baseline and gap map
Prompt set, nine-engine scan, competitor comparison, source map, and a priority list for the first two to three closeable gaps.
Content layer
Canonical and cited assets
Commercial page updates, citation-ready articles, comparison sections, case proof, FAQ blocks, and channel-ready adaptations.
Website layer
Readable technical surface
Schema, internal links, llms.txt, crawler access, sitemap hygiene, redirects, and route-level evidence that AI systems can parse.
Where to go next
This page connects the product graph
Module
Workspace ContentOS
The production module that turns a visibility gap into a source-backed brief, draft, schema, quality report, and approval-ready packet.
Open ContentOS →Technical layer
Website Agentic Optimization
The technical layer for schema, llms.txt, crawler access, internal links, and website readability for AI systems.
Open Website Agentic →Workflow questions
Frequently asked about how it works
What happens before the first strategy call?
An engineer runs a Hermes scan of your brand, three competitors, and the main AI engines before the call. The call starts from evidence: where AI names you, where it names competitors, which sources it cites, and which gaps are closeable.
How is this different from a visibility audit?
A visibility audit reports what AI says today. The Humanswith.ai workflow turns that report into approved work: canonical pages, source-backed articles, schema, llms.txt, case pages, distribution assets, and weekly re-measurement.
Who approves the work?
Humans approve the source set, the claims, the page or article, the channel adaptation, and the final publish step. Agents do the repeatable work, but the operator keeps control over positioning and risk.
How long until results show up?
The first useful signal is usually visible after the first weekly re-scan once assets have been published and crawled. Strong category movement often takes six to eight weeks, depending on competition, source availability, and starting visibility.
Which pages does this workflow create first?
The first assets are usually a canonical commercial page, one or two citation-ready articles, a case or proof page when data is available, and technical website fixes that make those pages readable by AI crawlers.
Does this replace SEO?
No. It changes the operating target. SEO still matters for crawl, authority, and commercial discovery. AEO/GEO adds the layer that makes AI engines cite or recommend the brand inside answers, not just show a blue link.
Start with evidence
Bring your brand and three competitors. We will show the first gap.
The strategy call is not a sales script.
You see the baseline, the likely first asset, and the tier that fits. If the category is not ready for measurable AEO/GEO work, we say that too.