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How can we contact you? ^*

Please provide an email or link to a calendly/Google Calendar booking platform (or both!)

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What's your title? ^*

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How many years of experience do you have with implementing machine learning for SEO? ^*

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What type of content are you interested in contributing? ^*

Publication contributions can be:

Tutorial - how to on a machine learning topic, taking people from A-to-Z on how to use an API, or train their own model + any relevant templates (Google Sheets, Code Notebooks, Looker Studio visualization templates) (any tutorial would need at least one template)
Implementation guides - this is a bit different as here there’s not that much talk about the how (this is covered within a tutorial) but moreso the practical steps on implementing something within SEO/ Organic Search marketing practices. For instance, “how to use keyword clustering to enhance your keyword research” or “how to use entity analysis in internal linking” where the actual part for training the algorithm or implementing an API is covered within a separate tutorial, and the implementation guide drives the user to questions to ask, how to organise the project, what to look our for etc. emphasizing the benefits of using the automation to complement traditional tactics for this task.

Online courses are discussed and agreed upon on a case-per-case basis.

Academy contributions are:

Long-form Videos that take someone from A-to-Z on a given topic. Like a webinar on Using entity analysis in Internal linking - combining content for a tutorial, how to use the templates, and guides.

Machine Learning Tutorials (how to)

Machine Learning Implementation guides for SEO/Organic Search Marketing

Academy Lessons

Online Course

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Do you provide 1-to-1 ML/SEO consulting or training? ^*

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No

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If YES, are you interested in discussing the option for promoting 1-to-1 coaching/consultancy with you to our audience?

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Yes

No

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Provide a link to a website of your choice - most representative of your ML/SEO expertise.

Personal website, professional/company website, etc.

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Please provide links to other notable work you've done in ML/SEO

Separate each entries with a new line. Links to other relevant work you’ve done on machine learning - papers, books, ebooks, courses, etc.

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Please upload the photo you'd like us to use on our website ^*

Feel free to also drop any other photos for us to consider (e.g a headshot, alongside professional photos from speaking gigs or similar)

You can drag & drop or paste as well

Maximum file size: 10MB

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What's the bio you'd like us to use for your MLforSEO profile? ^*

Ensure you mention all your important career milestones, but also information related to your expertise with machine learning for SEO. Keep the bio no longer than 300 words.

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What motivated you to start learning and implementing ML in Organic Search? ^*

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Describe your most successful MLforSEO project you've worked on. ^*

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Please list your areas of expertise within Machine Learning ^*

Separate all relevant with commas, e.g. "Text Classification, Entity Analysis, Forecasting", etc.

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Please list all ML APIs and other ML tools you have expertise in ^*

Separate all relevant with commas, e.g. "Google Cloud Natural Language, Auto ML, GPT4", etc.

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Using bullet points, provide a list of SEO areas, where you have expertise applying ML in. ^*

Use the format Implemented X,Y,Z machine learning task in X SEO project, to achieve X,Y,Z benefit.

For example, "Implemented entity analysis, n-gram analysis, and text classification in an internal linking project to achieve time savings of more than 30 hours per person for each internal link audit and an uptick of 20% in organic traffic post-implementation."

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