Launch, optimize, and monitor Google Ads campaigns faster with i10X AI agents that support keyword research, ad copy generation, bidding insights, performance analysis, and ROAS-focused recommendations.
i10X replaced our 5-tool Google Ads stack and cut weekly optimization time from 12 hours to under 3 while lifting ROAS 34%.
ROAS lift+34%
Jordan Hale
Marketing Manager
We ditched separate bidding, copy, and keyword tools; i10X free AI unified everything and dropped our ad-tool spend by $1,200 a month.
Monthly tool-cost saved$1,200
Sam Rivera
Head of Growth
Context-switching killed our agency margins—i10X consolidated Google Ads AI workflows and freed 18 hours per client each month.
Hours freed per client18 hrs/mo
Casey Okonkwo
Paid Media Director
Что агент может сделать для категории «Маркетинг и реклама»
Один Superagent и специализированные субагенты для каждой задачи.
You choose your Google Ads objective; i10X maps the best AI workflow for keywords, bidding, and creatives.
2
Configure Campaign Inputs
You add budget, audience, and offer details; i10X structures campaign settings and optimization rules.
3
Launch Super Agent
You approve the setup; i10X generates ads, keyword ideas, and performance recommendations automatically.
4
Review And Refine
You review results and feedback; i10X iterates copy, bids, and targeting to improve ROAS.
Кому это подходит
Создано под конкретные задачи, которые люди решают каждый день.
Google Ads Specialist / PPC Specialist
Задачи, которые берёт на себя агент
Generate responsive search ad variations from product, audience, and offer inputs.
Cluster keywords by intent and flag negative keyword opportunities.
Review search terms, bids, budgets, and conversion signals for optimization ideas.
Draft experiment recommendations for ad copy, landing pages, and bidding strategies.
Результат: Manual account work shrinks into guided review time, giving specialists more room for strategy, testing, and sharper performance decisions.
Performance Marketing Manager
Задачи, которые берёт на себя агент
Summarize campaign performance into ROAS, CPA, conversion volume, and budget pacing insights.
Identify underperforming campaigns and suggest budget reallocations across goals.
Create executive-ready notes explaining what changed, why, and what to test next.
Monitor anomalies in spend, conversion rate, CPC, and revenue trends.
Результат: Performance managers get faster answers from messy campaign data, so budget moves happen before wasted spend piles up.
E-commerce Marketing Manager
Задачи, которые берёт на себя агент
Create shopping-style campaign copy from product feeds, categories, and promotions.
Spot feed issues, weak product titles, and missing conversion-focused attributes.
Suggest seasonal campaign angles, promo messaging, and audience segments.
Analyze product-level performance to surface winners, wasters, and scaling opportunities.
Результат: Product-led campaigns become easier to scale because feed insights, promo angles, and revenue signals arrive in one workflow.
Growth Marketing Manager
Задачи, которые берёт на себя агент
Turn growth hypotheses into structured Google Ads test plans.
Generate acquisition messaging for new audiences, markets, and funnel stages.
Compare campaign learnings across keywords, creatives, and landing-page themes.
Prioritize experiments by likely impact, effort, and available conversion data.
Результат: Growth teams move from scattered ideas to a steady testing engine, with clearer bets and faster learning cycles.
Digital Marketing Manager
Задачи, которые берёт на себя агент
Build campaign briefs from business goals, service pages, locations, and target customers.
Produce ad copy, keyword ideas, extensions, and basic campaign structure recommendations.
Translate Google Ads performance into plain-language next steps for non-specialists.
Create weekly optimization checklists for budgets, targeting, and creative refreshes.
Результат: Small marketing teams can launch and improve Google Ads without living inside every platform setting all week.
Paid Search Account Manager
Задачи, которые берёт на себя агент
Prepare client-ready campaign audits with issues, opportunities, and recommended actions.
Generate reporting commentary for ROAS, CPA, impression share, and budget pacing.
Create new ad concepts and keyword expansions for multiple client accounts.
Draft follow-up recommendations after client feedback, performance changes, or new promotions.
Результат: Agency managers reclaim reporting and audit hours, turning routine account maintenance into higher-value client strategy.
Superagent против отдельных инструментов
Возможность
Superagent
Отдельные инструменты
Setup and integration
Connects ad accounts and related data sources into one workspace, so setup is typically one integration project rather than separate installs for bidding, creative, keyword, and reporting tools.
Each tool usually requires its own account setup, permissions, tracking checks, and API connection to Google Ads or other platforms.
Number of tools required
Covers campaign analysis, recommendations, creative support, reporting, and automation in a unified AI-agent workflow.
Advertisers often combine separate tools for bid management, ad copy generation, keyword research, competitor monitoring, and dashboards.
Cross-channel data consistency
Uses a shared data layer and consistent definitions across connected campaigns and channels, reducing metric mismatches between reports.
Data is often copied between platforms or exported to spreadsheets, which can create differences in attribution windows, naming, and KPI definitions.
Workflow coverage
Can move from insight to action across tasks—for example, identify an underperforming campaign, draft changes, and support execution from the same environment.
Most tools optimize one slice of the workflow, so teams still transfer findings manually between research, creative, bidding, and reporting tools.
Cost and vendor management
One platform contract and billing path replaces multiple overlapping subscriptions and renewals for narrow ad-tech utilities.
Costs are spread across several vendors; free native Google Ads AI is included with ad spend, but advanced third-party features commonly require separate paid plans.
Примеры рабочих сценариев
Реальные промты, которые можно скопировать в агента выше.
Free Google Ads AI Audit & Optimization Plan
Act as a Google Ads AI strategist using only free/native Google Ads features such as Recommendations, automated bidding, responsive search ads, Performance Max insights, keyword planner-style research, conversion tracking diagnostics, and reporting insights. My problem: my Google Ads account is spending budget but ROAS is low and I do not know which AI-powered optimizations to trust. Business type: [insert business]. Monthly ad budget: [insert budget]. Main conversion goal: [leads/sales/calls/bookings]. Current campaign types: [Search/Shopping/Performance Max/Display/YouTube]. Current issues: [high CPC/low conversions/poor ROAS/irrelevant traffic/limited data]. Analyze the situation and create a step-by-step free Google Ads AI optimization workflow. Include: 1) what account data to review first, 2) which native Google Ads AI features to enable or avoid, 3) recommended bidding strategy based on conversion volume, 4) budget reallocation rules, 5) ad creative improvements using responsive ads, 6) keyword and search term cleanup actions, 7) conversion tracking checks, 8) weekly monitoring checklist, and 9) risks of over-automation and how to keep human oversight. Return the answer as a JSON array with fields: step, objective, free_ai_feature_used, action, expected_impact, kpi_to_monitor, and caution.
A structured JSON-array audit workflow that helps advertisers use free Google Ads AI features to identify wasted spend, select appropriate automated bidding, improve responsive ads, clean up keywords, verify tracking, and monitor ROAS without relying blindly on automation.
Free Google Ads AI Campaign Builder for Small Budgets
Act as a Google Ads campaign architect specializing in free/native AI automation. My problem: I need to launch a Google Ads campaign with a small budget and want to use free Google Ads AI features without wasting spend. Business: [insert business]. Offer/product: [insert offer]. Target location: [insert location]. Monthly budget: [insert budget]. Target audience: [insert audience]. Conversion action: [purchase/lead form/call/signup]. Average order value or lead value: [insert value]. Create a launch-ready campaign workflow using free Google Ads AI. Include: campaign type recommendation, bidding strategy for low or no conversion data, campaign structure, ad groups or asset groups, keyword themes, negative keyword starter list, responsive search ad headlines and descriptions, audience signals if relevant, conversion tracking setup, first 30-day learning plan, and when to switch to automated bidding such as Maximize Conversions or Target ROAS. Return the result as a JSON array where each object contains: phase, task, setup_instruction, google_ads_ai_feature, example_output, success_metric, and decision_rule.
A launch-ready JSON-array campaign plan for small-budget advertisers, including native AI feature usage, campaign setup instructions, ad and keyword examples, budget learning phases, conversion tracking steps, and decision rules for adopting automated bidding once enough data is collected.
Free Google Ads AI Keyword, Ad Copy & Testing Workflow
Act as a Google Ads AI copywriter and keyword optimization assistant using free Google Ads tools and native platform automation. My problem: my ads have low CTR and I need better keywords, responsive search ads, and A/B testing ideas without paying for third-party AI tools. Business: [insert business]. Landing page URL or summary: [insert URL/summary]. Primary offer: [insert offer]. Target customer: [insert customer]. Location: [insert location]. Competitors or alternatives: [insert competitors]. Generate a free Google Ads AI workflow for keyword research, ad copy generation, and testing. Include: keyword theme clusters, match type recommendations, negative keyword ideas, search intent mapping, 15 responsive search ad headlines, 4 descriptions, callout assets, sitelink ideas, A/B testing plan, quality score improvement actions, and weekly optimization rules based on CTR, CVR, CPC, CPA, and ROAS. Return everything as a JSON array with fields: section, recommendation, generated_asset_or_action, reason, free_ai_or_native_feature, testing_method, and optimization_trigger.
A JSON-array creative and keyword optimization workflow that produces keyword clusters, negative keywords, responsive ad assets, extensions, testing ideas, and KPI-based optimization triggers to improve CTR, Quality Score, conversion rate, and ROAS using free Google Ads AI capabilities.
Справка
Другие инструменты в этой области
Отдельные решения, закрывающие часть этого сценария. Агент выше справляется со всеми ними в одном диалоге.