Marketing SEO
Marketing SEO is your search and AI-visibility analyst. Ask it to research keywords, audit a page, or check how a client's brand appears in AI-generated answers. It returns a scored analysis with ranked recommendations the rest of your team can act on. It never publishes anything itself.
You work with it two ways. Mention it in Slack and read the reply there, or drive the same analyses in the app: the in-app SEO workspace, Search and Answer-Engine Visibility, is where keyword research, on-page audits, and answer-engine checks live as a browsable feed you can open, and the AI Visibility hub is the standing picture of how a brand shows up in AI assistants. Both are the same agent; pick whichever suits the task.
The agent works directly with Marketing Content, Marketing Strategist, and Marketing Brand Guard. Keyword briefs feed into content briefs. AEO gap reports feed into campaign plans. On-page audit scores feed into the Brand Guard review queue. Marketing SEO is the research layer that keeps the other agents pointed at the right targets.
Every analysis comes back with a score, a verdict, and a short list of specific next actions. The goal is not a data dump: it is a clear call on what to fix or write next.
What It Does
Keyword research. You give it a topic or a keyword. It returns three candidate keywords ranked by commercial potential, each with a search-intent classification, a one-line rationale, and a recommended content shape (how-to, FAQ, listicle, long-form). It also surfaces related questions your ICP is searching and long-tail variations the head term misses.
On-page audits. You give it a URL or paste in a draft. It scores the page on ten criteria: keyword placement, header structure, word count, meta description, internal and external links, readability, E-E-A-T signals, and audience fit. The score runs from 0 to 100. Pages scoring 80 or above are ready to ship. Pages scoring 60 to 79 need revision. Pages below 60 are flagged as blockers.
AI visibility checks. It tests how a client's brand appears when AI assistants answer questions the client's buyers would ask. It generates representative queries from the brand's content pillars and ICP, runs them, and scores brand mentions across three frameworks: GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), and E-E-A-T. The output tells you where the brand is absent, where it is mentioned weakly, and where a competitor is winning the answer.
Topic research. You drop in a raw topic idea. It evaluates whether the topic is worth pursuing: how big the visibility gap is, how well it fits the brand's ICP and pillars, and what content shape would work best.
In the App
You do not have to live in Slack to use Marketing SEO. The same analyses run in two app surfaces, and the results stay there for you to revisit.
The SEO workspace. Search and Answer-Engine Visibility is the analyst's workbench in the app. It holds three feeds in one place: keyword analyses, on-page audits, and answer-engine checks. Pick a brand, start a new analysis, and open any past item for its full breakdown: the per-keyword recommendation list, the per-component audit scoring with the highest-impact revisions, or the per-query, per-engine answer-engine result.
The AI Visibility hub. AI Visibility is the standing view of how a brand shows up across AI answer engines. It is built from these areas:
- Presence: how often the brand surfaces in AI answers over time, with a per-engine read at a glance.
- Actions: a prioritized to-do list of fixes to win visibility on the prompts where the brand is absent.
- Citations: who is getting cited on the brand's topics, broken down by source, engine, and top domains.
- Competitors: the competitors being tracked and the notable moves they have made.
- Ranking: a table of the tracked keywords and where the brand stands on each.
- Reports: the monthly narrative summaries you can pull for a client review.
- Entity Audit: a health score for how clearly AI engines understand the brand as an entity, with the top fixes to raise it.
Key Capabilities
| Capability | What it gives you |
|---|---|
| Keyword research | Three prioritized keyword candidates with intent, volume, difficulty, and a content shape recommendation |
| Related questions | People-Also-Ask style queries your ICP is searching, ready to include in content |
| On-page audit | A 0-100 score with a ship / revise / blocker verdict and up to five specific revisions |
| AI visibility check | GEO, AEO, and E-E-A-T composite scores plus a gap list categorized by remediation type |
| Topic research | Gap score + ICP-fit score + a recommended next action (write, research deeper, park, or drop) |
| Cross-agent briefing | Keyword briefs formatted for Marketing Content; gap lists formatted for Marketing Strategist |
The Approval Rule
Marketing SEO analyses and recommends. It does not publish.
Running keyword research, on-page audits, AI visibility checks, and topic research are fully autonomous. No approval is needed for any of these.
Acting on the recommendations requires a human decision. Applying an SEO change to a published page routes through Marketing Content or Marketing Web. Shifting a brand's keyword strategy routes through a conversation with Marketing Strategist. Enabling scheduled AI visibility monitoring for a brand requires your explicit sign-off.
When Marketing Brand Guard flags an SEO concern on a draft, it may route the draft to Marketing SEO for a targeted on-page audit. You review the audit and decide whether to send the draft back for revisions before it continues through the approval flow.
Who It's For
- Account managers: Request on-page audits or AI visibility checks for a client's site before a quarterly review.
- Content and copywriters: Pull a keyword brief before starting a post so the target is set before the first word is written.
- Marketing strategists: Use AI visibility gap reports as input when planning campaigns. Missing from a key buyer query is a campaign brief.
- Operations leads: Use on-page audit scores to track whether the content pipeline is consistently shipping above the quality threshold.
Related
- Commands: how to ask for keyword research, audits, and visibility checks
- Notifications: what the analysis results look like when they arrive
- Schedule: when the agent runs and how it fits into the content workflow
- Examples: full walkthroughs of keyword research, on-page auditing, and AI visibility checks
- Troubleshooting: common questions and what to do when a score looks off
- The Marketing Workspace: run keyword research, audits, and answer-engine checks in the app
- AI Visibility: the standing view of how a brand shows up in AI assistants