Abstract: Embodiments of a method for building funnel websites using artificial intelligence (AI) comprise providing a first tier, a second tier and a third tier, wherein: data in the first tier is accessible at the first tier and inaccessible at the second tier and the third tier, data in the second tier is accessible at the first tier and the second tier and inaccessible at the third tier, and data in the third tier is accessible at the first tier, the second tier and the third tier; providing, at the first tier, an AI engine; automatically generating, at the first tier using the AI engine, funnel website templates based on previously generated funnel websites; automatically building, at the first tier using the AI engine, a new funnel website using the funnel website templates for a subscriber to the third tier; and automatically deploying the new funnel website at the third tier.

Abstract: An application for optimizing advertisements in a tiered software framework is disclosed. The application may receive a request to optimize an advertisement. The application may predict an engagement rate of the advertisement and encode in a latent space using a machine model, an embedding from the advertisement, the latent space comprising embeddings encoded from previously published advertisements having corresponding actual engagement rates. The application may identify clusters in the latent space. The application may iteratively derive an optimized embedding based on purposeful movements in the latent space towards selected ones of the clusters, the purposeful movements being based at least on respective distances of the selected clusters from a candidate embedding derived in a preceding iteration. The application may generate a final advertisement from the optimized embedding, and publish it suitably.

Abstract: Embodiments of a method for facilitating spam blocking in a tiered software framework include: providing instructions to a machine learning module (MLM) to generate a threshold for classifying spam in messages generated in a tiered software framework. The instructions include inputs comprising government regulations; carrier guidelines; feedback on previously sent messages; and previously flagged messages. The instructions specify that the threshold is to prevent false positives while allowing false negatives. The method further includes, receiving the threshold according to the instructions from the MLM; parsing a message; automatically performing a semantic search using natural language processing for regulated content in the parsed message by comparing semantics of text of the parsed message to the inputs to find matches; assigning a score to the message based on matches found; and responsive to the score being higher than the threshold, blocking sending the message from the tiered software framework.

Abstract: Embodiments of a method for facilitating spam blocking in a tiered software framework include: determining that a message template is generated in the tiered software framework, parsing the message template, automatically performing a semantic search for regulated content in the parsed message template, assigning a score to the message template based on the semantic search, and responsive to the score being higher than a predetermined threshold, blocking generating of any message from the message template. The tiered software framework comprises a first tier, a second tier, and a third tier, the second tier comprises accounts of a first plurality of subscribers, the third tier comprises subaccounts of the accounts, the subaccounts associated with a second plurality of subscribers, and the message template is associated with one of the subaccounts in the third tier.

Abstract: Embodiments of a method for facilitating spam blocking in a tiered software framework include: determining that a message template is generated in the tiered software framework, parsing the message template, automatically performing a semantic search for regulated content in the parsed message template, assigning a score to the message template based on the semantic search, and responsive to the score being higher than a predetermined threshold, blocking generating of any message from the message template. The tiered software framework comprises a first tier, a second tier, and a third tier, the second tier comprises accounts of a first plurality of subscribers, the third tier comprises subaccounts of the accounts, the subaccounts associated with a second plurality of subscribers, and the message template is associated with one of the subaccounts in the third tier.

Abstract: Embodiments of a method for building funnel websites using artificial intelligence (AI) comprise providing a first tier, a second tier and a third tier, wherein: data in the first tier is accessible at the first tier and inaccessible at the second tier and the third tier, data in the second tier is accessible at the first tier and the second tier and inaccessible at the third tier, and data in the third tier is accessible at the first tier, the second tier and the third tier; providing, at the first tier, an AI engine; automatically generating, at the first tier using the AI engine, funnel website templates based on previously generated funnel websites; automatically building, at the first tier using the AI engine, a new funnel website using the funnel website templates for a subscriber to the third tier; and automatically deploying the new funnel website at the third tier.

Abstract: Embodiments of a method for automatically generating, scheduling, posting, and recycling social media posts are disclosed, the method comprising: receiving instructions to publish social media posts on a plurality of social media platforms; for each social media platform in the plurality, generating, using an artificial intelligence (AI) engine, a first rule for content in the social media posts and a second rule for a publishing schedule; automatically generating, using the AI engine, a social media post according to the first rule and a publishing schedule for the generated social media post according to the second rule; publishing the social media post on the respective social media platform according to the respective publishing schedule; monitoring post insights on the published social media post; and retraining the AI engine with the post insights.

Abstract: Embodiments of a method for automatically generating, scheduling, posting, and recycling social media posts are disclosed, the method comprising: requesting an artificial intelligence (AI) engine for a plurality of prompts to create a social media post on a social media platform; selecting one prompt in the plurality of prompts returned by the AI engine; requesting the AI engine for social media post content based on the selected prompt; selecting a textual content and a non-textual content; combining the selected textual content and the selected non-textual content according to pre-configured settings to create one social media post; repeating selecting the textual content and the non-textual content and combining, to create a plurality of social media posts; generating a schedule for each one in the plurality of social media posts; and automatically posting each one in the plurality of social media posts on the social media platform according to the schedule.

Abstract: Embodiments of a method for automatically generating, scheduling, posting, and recycling social media posts are disclosed, the method comprising: requesting an artificial intelligence (AI) engine for a plurality of prompts to create a social media post on a social media platform; selecting one prompt in the plurality of prompts returned by the AI engine; requesting the AI engine for social media post content based on the selected prompt; selecting a textual content and a non-textual content; combining the selected textual content and the selected non-textual content according to pre-configured settings to create one social media post; repeating selecting the textual content and the non-textual content and combining, to create a plurality of social media posts; generating a schedule for each one in the plurality of social media posts; and automatically posting each one in the plurality of social media posts on the social media platform according to the schedule.

Abstract: Embodiments of a method for operating a customized chatbot using artificial intelligence is disclosed, the method comprising: receiving a message via one of a plurality of channels, each channel being communicatively coupled to one or more applications executing in one or more computing devices; identifying a meaning of the message using at least one natural language processing algorithm; retrieving information from a knowledge base, the information being relevant to the identified meaning and comprising attributes of a plurality of intents; generating, using at least one machine learning model, a response recommending an action to fulfill one in the plurality of intents, the at least one machine learning model using the information retrieved from the knowledge base to derive the recommended action; displaying the response in a user interface; and performing the recommended action.

Abstract: Embodiments of a method for building funnel websites using artificial intelligence (AI) in a tiered software framework comprise providing a tiered software framework comprising a plurality of tiers with hierarchical data access to corresponding subscribers; receiving at the tiered software framework, a prompt with requirements for generating a funnel website from a subscriber having access to a tier in the plurality of tiers; searching a template library comprising a plurality of funnel website templates, the searching based at least on the prompt; selecting a funnel website template from the template library, with selection based on the conversion rates; retrieving business information of the subscriber; filling the selected funnel website template with the business information to generate the funnel website; and deploying the funnel website at the tier.

Abstract: Embodiments of a method for building funnel websites using artificial intelligence (AI) in a tiered software framework comprise receiving a prompt with requirements for generating a funnel website, performing, by an AI engine, a search for a plurality of funnel website templates based at least on the prompt, ranking the plurality of funnel website templates returned in the search from a highest rank to a lowest rank, and selecting a funnel website template having the highest rank. The tiered software framework includes data from accounts of a plurality of subscribers, and the requirements are from one subscriber in the plurality of subscribers. The method further includes retrieving business information of the one subscriber, filling the selected funnel website template with the business information to generate the funnel website, and deploying the funnel website at one of a plurality of tiers of the tiered software framework.