Development of an AI Model for Keyword Evaluation and Optimization for Google Ads Campaigns

Project Description:

We are seeking an AI/ML expert to develop an innovative model that evaluates and optimizes keyword relevance and effectiveness for Google Ads campaigns. The model will integrate data from multiple sources to provide actionable insights and generate optimized keywords for immediate use in campaigns.

Objective:

The primary goal is to create an AI model that:

1. Integrates seamlessly with Google Ads API, Google Search Console, and client-provided data.
2. Evaluates keywords based on data from:
- Google Keyword Planner via Google Ads API.
- Crawled content from specified landing pages.
- Activity data of the landing pages from Google Search Console.
- Historical data of keywords from linked Google Ads accounts.

The model must function optimally regardless of whether data is available from one, several, or all sources, consistently delivering the best possible results.

Requirements:

- Data Integration: Build interfaces for the above-listed sources to fetch and process data dynamically.
- AI Model Development: Develop a model that can predict keyword effectiveness and suggest optimizations based on integrated data sources.
- The model must function optimally regardless of whether data is available from one, several, or all sources, consistently delivering the best possible results
- User Input Handling: Design the model to accept initial keyword inputs during user onboarding in Adaise and further refine suggestions based on crawled landing page content if no initial keywords are provided.
- Flexibility and Scalability: Ensure the model can adapt to varying levels of available data and scale as new sources are integrated.
- Output: The model should produce a manageable set of optimized keywords, ideally ranging from 10 to 100, tailored to the specific requirements of ongoing campaigns.


Additional Features (Optional):

- Competitor Analysis: Incorporate data regarding competitor keyword strategies if accessible.
- Demographic and Geographic Targeting: Utilize provided user demographic and geographic details to refine keyword suggestions.
- Ad Scheduling Insights: Generate insights on optimal ad timings based on historical data and landing page interactions.


Deliverables:

- A fully functional AI model deployable within the API and UI environment.
- Documentation detailing the model’s architecture, data flow, and integration points.
- A user guide for navigating the model’s interface and understanding output data.


Expertise Required:

- Proven experience in AI/ML, particularly in NLP and predictive analytics.
- Of course, Google Ads expertise (supposing to have anyone in your team that can do this part)
- Strong background in data integration and API management.
- Experience with Google Ads API and Google Search Console is highly advantageous.
- Ability to work with cross-functional teams and manage a project from conception to execution.


Proposal Submission:

- Detailed approach to the project including preliminary ideas for model development.
- Past experience with similar projects, with examples if available.
- All algorithms must be previewed by us before you implement it.
- Estimated timeline and milestones.
- Budget proposal.

It is essential that your team includes Google Ads experts who will confirm the structure of any algorithm and the data metrics to be used with me before implementation. The team must also demonstrate creativity in resolving challenges related to data integration and algorithm optimization.