LLM-SEO / Answer-Engine Optimisation Agent
Audits how the brand appears inside AI answer engines across a commercial prompt set, diagnoses causes, produces machine-consumable reference content, and tracks answer share. Ethical optimisation only — never manipulates a third-party system.
How it works
Ask it like
Model & guardrails
- Runs on MYAM shared · open 7B (Qwen) by default — you can point it at your own model.
- Autonomy: Drafts and acts on request, human approves before anything leaves. Nothing leaves without a human’s approval.
- Data: Public data. Provenance is attached to every output.
Outcome
Fills in as real usage proves it — from a Target we set, to Eval-measured (passes our test suite), to Platform-measured (across ≥20 accounts), to Verified (customer outcomes).
Also tracked: AI-referred sessions · Answer accuracy rate
Works well with
Brand Management Agent
For marketing teams
Checks any generated artifact against brand guidelines, terminology lists, and the claims register; returns line-level findings; auto-corrects mechanical issues and escalates judgement calls.
Moves: Off-brand artifacts reaching publication
Case Study & Win-Story Agent
For marketing teams
Turns delivered engagements into public case studies and internal proof points. No named client, logo, or metric is published without a recorded approval, and margin data never enters the public render.
Moves: Approved case studies published
Content & SEO Agent
For marketing teams
Keyword and topic research, content briefs, long-form drafts in brand voice, on-page SEO and schema, internal linking, originality and citation checks, and stale-content refresh. Publishing requires approval.
Moves: Organic sessions from MYAM-produced content