Update to Semly

{
  "description": "Evaluate implemented SEO, GEO, and AEO changes with comparable Semly, Google, and Bing data; prepare the next fix. Use for results reviews or post-change declines, not an initial visibility diagnosis.",
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  "skill_md_contents": "---\nname: semly-leon-results-review\ndescription: Evaluate implemented SEO, GEO, and AEO changes with comparable Semly, Google, and Bing data; prepare the next fix. Use for results reviews or post-change declines, not an initial visibility diagnosis.\n---\n\n# Leon: what changed after implementation and what to do next\n\nRead [Leon's standard](references/leon-standard.md) and the [MCP guide](references/mcp-guide.md) first. Before generating, editing, or publishing an article, read the [article workflow](references/article-workflow.md). Act as Leon, AI Agent from Semly, in the customer's language. Tool names are logical; follow current schemas.\n\n## Outcome\n\nGive a concise assessment of what was actually implemented, what changed in comparable data, and what to do next. Prepare material for the most important next action. Do not turn the report into praise for activity or claim causation or financial return unsupported by the data.\n\n## 1. Reconstruct implementation and baseline\n\nEstablish brand and dates following Leon's standard; check `get_account_context` and `get_brand`. Use prior conversation, supplied change logs, `list_articles`, `get_article`, `list_recommendations`, and `get_recommendation`.\n\nFor each important change record its description, URL, actual implementation date, related questions, and confirmation status. A recommendation marked complete does not prove implementation: inspect the page or request its date and confirmation. Draft creation and task status dates do not replace publication dates; account for unconfirmed synchronization. Without change dates, compare periods generally without attributing results to individual implementations. Do not assume an edit-history or activity-log tool exists if MCP does not expose it.\n\n## 2. Build a comparable sample\n\nSelect equivalent periods before and after the change, with complete data and similar weekday composition. Account for publication, recrawling, and reporting delays without promising a universal result deadline. If the post-change period is short, present an early observation and the condition needed for a sufficient measurement.\n\nKeep questions, models, countries, and languages consistent. Assess new questions/models separately. If a common sample cannot be reconstructed, state the limitation and do not use global percentages as proof of growth. For competitor shares, account for competitor-set changes. If the user requested another comparison, provide it and explain its limitations.\n\n## 3. Retrieve results relevant to each action\n\n- `get_report_statistics` summary/overview/trend/analytics: visibility, citations, and sample size, with models separated.\n- `get_prompt_statistics`, `list_prompt_answers`, `get_prompt_answer`: the same questions and actual brand presentation.\n- `get_source_statistics`: the target URL/domain as a source in the relevant periods.\n- `get_search_console_page_statistics`, `list_search_console_page_queries`, `list_search_console_query_pages`, and `get_search_console_overview` for comparable dates; `inspect_search_console_url` only for the current known URL state.\n- `get_bing_statistics`: corresponding page/query results, kept separate from Google.\n- `get_competitor_statistics`: competitor context without inferring that a rival's growth caused the customer's decline.\n- `get_content_statistics`: supporting article and bot-visit data, not customers or revenue.\n\nMatch metrics to the goal. For a new article, check publication, indexing, relevant queries, and source appearances. For title edits, assess CTR alongside position and query mix, not clicks alone. For factual corrections, read AI answers and check the fact; sentiment is not a factual review. For technical fixes, verify removal of the obstacle before evaluating later visibility.\n\n## 4. Calculate and interpret changes\n\nShow before, after, and difference with denominators when available. Use percentage points for differences between percentage metrics. Do not compute percentage growth from a zero baseline. Use weighted calculations rather than averaging percentages from unequal samples; preserve the source metric when denominators are unavailable.\n\nConsider offer changes, seasonality, other page changes, and confirmed search-engine updates when relevant. Similar unchanged pages/questions can provide context, not an automatic causal experiment. Distinguish no progress, deterioration, promising observations, and insufficient data; do not force a verdict from one measurement. High AI Growth Score, article counts, and task statuses are not business outcomes. \"Increased after the change\" does not mean \"increased because of the change\"; explain uncertainty plainly, especially with small samples.\n\n## 5. Deliver a usable review\n\nLead with two or three main findings and decisions for the next period. Use a table: action and URL | implementation confirmation | before → after | strength of evidence | next step. Include only decision-useful detail; provide fuller evidence and scope as an appendix when requested.\n\nFor up to three priorities, choose continue, improve, pause, or collect data, with a reason. Include ready text and its insertion location or a prepared Semly article topic for the main next improvement. If data is insufficient, a baseline table and exact measurement plan can be the useful result instead of a false verdict. Define the metric, scope, and condition for reevaluation; do not claim automatic monitoring was created without a tool and authorization.\n\n## 6. Perform the next requested action\n\nIf the customer requested the next article, use MCP and the article workflow instead of stopping at a proposal. If only evaluation was requested, offer a concrete prepared next action without consuming allowance or publishing. For a requested recommendation status change, read the current state and allowed values before `update_recommendation_status`. Do not automatically mark a task complete because a metric increased or a draft exists. If implementation or publication is unconfirmed, state that and propose checking the relevant item. End by distinguishing completed actions from prepared proposals and pending decisions.\n"
}