--- title: Agentic AI Tool for Google Ads Optimization type: article created: '2026-04-05' updated: '2026-04-05' source_docs: - raw/2026-03-11-weekly-call-inventory-performance-marketing-129037013.md tags: - ai-tooling - claude-code - agentic-ai - google-ads - performance-marketing - automation - google-analytics - google-tag-manager - conversion-tracking layer: 2 client_source: null industry_context: null transferable: true --- # Agentic AI Tool for Google Ads Optimization ## Overview Asymmetric uses a locally-run agentic AI system built on **Claude Code** to automate Google Ads audits and optimizations. Unlike standard AI assistants that only analyze and recommend, this tool is *agentic*: it logs into platforms, pulls data, makes changes, and delivers reports — all autonomously. Tasks that would take hours of manual work are completed in 10–20 minutes. The tool was demonstrated live in the [[meetings/2026-03-11-weekly-call-inventory-performance-marketing|2026-03-11 weekly call]], where it diagnosed and fixed performance issues for [[clients/scallon|Scallon]] and [[clients/ahs|Advanced Health & Safety]] in a single session. --- ## What It Is - **Runtime:** Runs locally on Mark's machine (not a cloud service), using the Anthropic Claude API via a team account - **Core engine:** Claude Code (Anthropic's agentic coding environment) - **Interface:** Terminal / PowerShell sessions; multiple agents can run in parallel - **Toolset:** ~100 custom tools covering Google Ads API, Google Analytics, Google Search Console, Slack, website CMS access (via MCP servers), PDF generation, and more - **Memory:** Maintains per-client files storing credentials, strategy profiles, past actions, and learned behaviors; must be explicitly told to update memory after each session --- ## What It Can Do ### Data Access - Logs into Google Ads (via API), Google Analytics, Google Search Console, and client websites - Reads per-client strategy profiles before acting, so it understands goals before making changes - Pulls campaign performance, keyword reports, search term reports, quality scores, conversion action configs, and tag/tracking status ### Analysis - Identifies wasteful spend (e.g., high-CPA campaigns with minimal conversions) - Flags bidding strategy mismatches (e.g., Maximize Clicks when conversion data exists) - Detects conversion tracking breakage (e.g., WP Rocket blocking Google Tag Manager) - Surfaces keyword gaps from search term reports - Checks for Google policy violations (e.g., health-sensitive keywords) - Reviews ad strength, quality scores, and impression share loss causes ### Execution (Agentic Actions) - Pauses underperforming campaigns and reallocates budget based on performance data - Consolidates primary conversion actions to sharpen Smart Bidding signals - Adds negative keywords and location-specific keywords - Switches bidding strategies (e.g., Maximize Clicks → Maximize Conversions) - Logs into client websites and fixes settings directly (e.g., WP Rocket delayed JavaScript exclusions) - Generates PDF audit reports and posts them to the appropriate Slack channel automatically ### Parallelism - Can spawn sub-agents to run audit phases simultaneously (e.g., keywords, search terms, tracking verification, ads/assets all at once) - Multiple client audits can run in separate terminal windows concurrently --- ## Skills System Repeated workflows are encoded as **skills** — named instruction sets the agent loads and executes without step-by-step prompting. Example: `Google-Ads-Audit` runs a full multi-phase audit automatically when invoked. Skills can be chained: "do these 10 things in sequence" becomes a single command. This is how the tool scales from interactive demos to background automation. --- ## Guardrails The tool operates within explicit boundaries defined in per-client config files: - Specifies what it *is* and *is not* allowed to change - Instructs it to execute anything it can do safely, and to ask before doing anything risky - Requires it to update memory files with what it did and how, so it doesn't repeat mistakes When it makes an error, it self-corrects: it identifies the mistake, tries alternative approaches, and updates its notes. Red/white/green dot indicators in the terminal show failed, in-progress, and successful tool calls in real time. --- ## Demonstrated Results ### Scallon (2026-03-11) Conversions had dropped from ~70/month to 23. The tool: 1. Diagnosed the competitor campaign as wasteful ($98 CPA on 1 conversion) 2. Identified Maximize Clicks as the wrong strategy given available conversion data 3. Paused the competitor campaign; reallocated budget to better-performing ad groups 4. Consolidated primary conversion actions from 6 → 2 5. Added 74 negative keywords and 27 location-specific keywords 6. Switched bidding to Maximize Conversions 7. Generated a PDF report and posted it to the Scallon Slack channel See: [[meetings/2026-03-11-weekly-call-inventory-performance-marketing#google-ads-scallon-performance-drop--ai-demo]] ### Advanced Health & Safety (2026-03-11) A full automated audit found: - **Critical:** WP Rocket's "delayed JavaScript" setting was blocking Google Tag Manager, causing zero form submission tracking for 30 days — the tool logged into the AHS website and fixed the setting directly - 8 of 9 conversion actions marked primary (diluting Smart Bidding signals) - DSA asbestos campaign matching irrelevant terms (e.g., "mold killer," "water restoration") - Display campaign consuming 38% of total budget Output: 15-page PDF audit report posted to the AHS Slack channel. See: [[meetings/2026-03-11-weekly-call-inventory-performance-marketing#google-ads-ahs-audit--ai-demo]] --- ## Known Limitations - **No persistent memory by default:** Claude Code does not remember previous sessions unless explicitly told to write a summary to a file. Always end sessions with an instruction to update memory. - **Context window limits:** Long sessions can exhaust the context window; the agent handles this by summarizing and continuing, but very large jobs may need to be split. - **Token consumption:** Running the tool overnight on large projects can exhaust the monthly token allocation. - **Requires human review:** The tool can make mistakes (e.g., adding "Heights" as a negative keyword for a client whose facility is called "Scallon Heights"). All changes should be reviewed, especially keyword additions/removals. - **API quirks:** Bidding strategy changes via the Google Ads API can be finicky; the tool may need 2–3 attempts and will self-correct. --- ## Setup & Access - Runs on a local Windows machine (uses PowerShell terminals) - Uses the Asymmetric team Claude account (shared credentials) - Credentials for all client platforms are stored in a master credentials file the agent can reference - Per-client project folders contain: strategy profile, credential references, memory/notes files, and skill definitions **Onboarding:** Mark scheduled a 1-hour call with Gilbert to walk through setup on his machine. See [[action-items/2026-03-11|2026-03-11 action items]]. --- ## Related - [[knowledge/google-ads/conversion-tracking-best-practices|Conversion Tracking Best Practices]] - [[knowledge/google-ads/bidding-strategy-selection|Bidding Strategy Selection]] - [[knowledge/wordpress/wp-rocket-gtm-conflict|WP Rocket + GTM Conflict]] - [[clients/scallon|Scallon]] - [[clients/ahs|Advanced Health & Safety]]