Best AI tools for< Rank Higher On Google >

Merchynt is an AI-powered Google My Business (GMB) management software and local SEO services provider. The platform offers solutions for automating GMB management, optimizing GMB profiles, managing Google reviews, optimizing citations on directories, and growing agencies faster. Merchynt's AI tool, Paige, is designed to automate various tasks such as posts, Q&As, image uploads, and reviews, tailored to individual businesses. The platform caters to businesses and agencies looking to improve their online presence and rank higher on Google Maps and search results.

Adaptify is a platform that uses AI to help businesses with their SEO and customer support. The Adaptify SEO platform helps businesses rank higher on Google, and the Adaptify AI Chatbot can be trained on a business's own data and integrated into their customer support system.

FluidSEO is an AI-infused Webflow SEO application that helps users fix SEO problems efficiently. It offers features such as smart alt text generation, schema creation, bulk updates, and smart descriptions. The application streamlines the process of adding metadata and ensuring alt text for images, saving users time and effort. With FluidSEO, users can implement best practice SEO in Webflow with confidence, improve their site's ranking on Google, and simplify on-page SEO tasks. The application is designed to be user-friendly, making it suitable for Webflow designers, SEO managers, content marketers, and beginners.

Minodor is an AI-powered SEO tool that helps you optimize your content for higher Google rankings. It provides you with an SEO rating for each segment of your content and offers guidance on how to improve your SEO. Minodor also includes a text editor, image generator, and external link suggestion tool, all in one platform.

Emplibot is an AI-powered tool designed for automated blogging on WordPress. It helps users to publish articles on their blog and share them on social media in a fully automated manner. The tool offers features such as automated keyword research, AI-generated images, in-content infographics, internal and external linking, and auto-publishing on social media platforms. Emplibot aims to simplify content creation and distribution for businesses, ultimately boosting their SEO performance and online visibility.

Search Alkemy is a free AI-powered SEO keyword research and topic clustering tool that helps content marketers and SEOs discover high-performing keywords, analyze search intent, and create content that ranks. With Search Alkemy, you can:

Tapult is a platform designed to help users build backlinks and partnerships to grow their website traffic. It simplifies the process of acquiring high-quality backlinks, enhancing website authority, and improving search result rankings. With features like identifying partnership opportunities, streamlining link-building, and connecting with relevant partners, Tapult aims to make the link-building process efficient and effective for bloggers, niche website owners, SaaS/app developers, e-commerce merchants, affiliate marketers, and SEO managers.

MagickSEO is an AI-powered SEO optimization tool that helps businesses improve their website's search engine performance. With insights from millions of case studies, MagickSEO provides tailored recommendations to enhance keyword relevance, content quality, and overall SEO structure. The tool's user-friendly interface and step-by-step guidance make it easy for businesses of all sizes to optimize their websites for better visibility and organic traffic.

Keyword Catcher is a powerful SERP analysis and keyword research tool that makes it easy to gain actionable insights from Google results. With Keyword Catcher, you can quickly and easily generate hundreds of long-tail keywords, filter your results to only include the keywords that you know you can rank for, and get a comprehensive view of the SERPs to understand the dynamics of keyword rankings. Keyword Catcher also includes a number of AI-powered features, such as AI-generated post outlines, that can help you to create high-quality content that ranks well in search results.

AI for SEO is a WordPress plugin designed to help websites rank higher in search results by providing AI-driven tools to enhance SEO efforts. It offers automated generation of metadata, alt text, image titles, captions, and descriptions, making SEO optimization convenient and efficient. The plugin supports various editor integrations and provides features like progress tracking, WooCommerce compatibility, and a free plan with credit rollover. Additionally, it offers a 100% money-back guarantee within 14 days of purchase, ensuring risk-free usage.

Speedy is an AI-powered content marketing tool that helps businesses create high-quality, personalized, SEO-optimized blogs and social media content in seconds. With Speedy, you don't need to be an SEO expert to rank higher and get more traffic. Speedy's advanced AI technology analyzes your target audience, competitors, and industry trends to generate content that is both engaging and informative. Speedy also integrates with your favorite platforms, making it easy to post your content to multiple channels with ease.

SEO Vendor is a white label SEO, PPC, and web design reseller platform that provides agencies with the tools and resources they need to grow their businesses. With SEO Vendor, agencies can offer their clients a full suite of marketing services, including SEO, PPC, web design, and content marketing. SEO Vendor's platform is powered by CORE AI, a patent-pending AI technology that delivers 10X better results than traditional SEO methods. With SEO Vendor, agencies can close more deals, retain clients longer, and grow their businesses faster.

Businessflow AI is a recruitment software powered by AI agents that helps companies find the best-fit applicants at a higher speed and reduced cost. It offers features such as resume analysis, applicant ranking, AI-powered interviews, and a general assistant. Businessflow AI aims to revolutionize the recruitment process by leveraging AI to automate tasks and provide data-driven insights.

Rank Math is an AI-powered SEO tool that helps you optimize your website for search engines. It offers a variety of features to help you improve your website's ranking, including keyword research, on-page optimization, and link building. Rank Math also provides detailed analytics to help you track your progress and identify areas for improvement.

Rank One Computing (ROC) is an American-made provider of multimodal biometrics and computer vision solutions, specializing in face recognition, fingerprint recognition, and artificial intelligence technologies. Trusted by the U.S. military, law enforcement, and leading FinTech brands, ROC offers top-ranked software for identity proofing and threat detection. Their suite of products includes ROC SDK, ROC Watch, and custom enterprise AI development services. With a focus on security and efficiency, ROC aims to make the world safer and more convenient through unbiased and privacy-conscious applications.

AI Top Rank is an AI tool designed to gather feedback and feature requests from users. It provides a platform for users to share their ideas, suggestions, and feedback on various topics. The tool helps in organizing and prioritizing feedback to improve products or services. With AI capabilities, it offers intelligent insights and analysis to drive decision-making processes. AI Top Rank aims to enhance user engagement and satisfaction by incorporating user feedback into product development.

AlphaRank is an AI SEO optimizer tool designed to boost website traffic by providing advanced SEO solutions. It offers a comprehensive suite of features to audit and optimize websites, leveraging AI algorithms and a vast database of keywords and merchant insights. Trusted by top-tier partners, AlphaRank aims to enhance content relevance, user engagement, and SEO precision for businesses, bloggers, and freelancers. The tool streamlines SEO operations, provides market insights, and offers expert recommendations for technical and content improvements.

Google Business Profile Growth Manager is an application that helps businesses manage their Google Business Profile and improve their local SEO. It offers a variety of features to help businesses save time and grow their online presence, including the ability to manage multiple locations, schedule posts, monitor growth, and get AI-powered insights.

CTRify is an AI-powered SEO action platform that helps businesses create websites that rank on Google. By providing a single keyword to the platform's artificial intelligence, businesses can boost their SERP rankings, organic CTR, dwell time, and pogo sticking. CTRify also provides organic traffic from millions of real desktop and mobile devices connected from residential IPs of top mobile carriers from all locations of the world.

CanIRank is an AI-powered SEO software designed for small businesses and startups to improve their Google rankings. It provides specific action recommendations based on AI analysis, offers DIY instructions or the option to delegate to an SEO consultant. CanIRank helps users understand why pages rank where they do, delivers results by suggesting impactful changes, and keeps users informed about new content ideas and ranking changes. The software automates keyword research, provides insights on competitive keywords, and offers a Keyword ROI Score to find the best balance between ranking difficulty and keyword value. CanIRank also offers SERP analysis, rank tracking, and competitive analysis tools to help users optimize their SEO strategies.

This project explores the capability of Large Language Models (LLMs) to perform regression tasks using in-context examples. It compares the performance of LLMs like GPT-4 and Claude 3 Opus with traditional supervised methods such as Linear Regression and Gradient Boosting. The project provides preprints and results demonstrating the strong performance of LLMs in regression tasks. It includes datasets, models used, and experiments on adaptation and contamination. The code and data for the experiments are available for interaction and analysis.

Top AI Tools is a comprehensive, community-curated directory that aims to catalog and showcase the most outstanding AI-powered products. This index is not exhaustive, but rather a compilation of our research and contributions from the community.

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

Awesome-Efficient-LLM is a curated list focusing on efficient large language models. It includes topics such as knowledge distillation, network pruning, quantization, inference acceleration, efficient MOE, efficient architecture of LLM, KV cache compression, text compression, low-rank decomposition, hardware/system, tuning, and survey. The repository provides a collection of papers and projects related to improving the efficiency of large language models through various techniques like sparsity, quantization, and compression.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

The 'gritlm' repository provides all materials for the paper Generative Representational Instruction Tuning. It includes code for inference, training, evaluation, and known issues related to the GritLM model. The repository also offers models for embedding and generation tasks, along with instructions on how to train and evaluate the models. Additionally, it contains visualizations, acknowledgements, and a citation for referencing the work.

Efficient Foundation Model Survey is a comprehensive analysis of resource-efficient large language models (LLMs) and multimodal foundation models. The survey covers algorithmic and systemic innovations to support the growth of large models in a scalable and environmentally sustainable way. It explores cutting-edge model architectures, training/serving algorithms, and practical system designs. The goal is to provide insights on tackling resource challenges posed by large foundation models and inspire future breakthroughs in the field.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

Awesome-AGI is a curated list of resources related to Artificial General Intelligence (AGI), including models, pipelines, applications, and concepts. It provides a comprehensive overview of the current state of AGI research and development, covering various aspects such as model training, fine-tuning, deployment, and applications in different domains. The repository also includes resources on prompt engineering, RLHF, LLM vocabulary expansion, long text generation, hallucination mitigation, controllability and safety, and text detection. It serves as a valuable resource for researchers, practitioners, and anyone interested in the field of AGI.

KaTrain is a tool designed for analyzing games and playing go with AI feedback from KataGo. Users can review their games to find costly moves, play against AI with immediate feedback, play against weakened AI versions, and generate focused SGF reviews. The tool provides various features such as previews, tutorials, installation instructions, and configuration options for KataGo. Users can play against AI, receive instant feedback on moves, explore variations, and request in-depth analysis. KaTrain also supports distributed training for contributing to KataGo's strength and training bigger models. The tool offers themes customization, FAQ section, and opportunities for support and contribution through GitHub issues and Discord community.

This repository contains the code that Defog uses for the evaluation of generated SQL. It's based off the schema from the Spider, but with a new set of hand-selected questions and queries grouped by query category. The testing procedure involves generating a SQL query, running both the 'gold' query and the generated query on their respective database to obtain dataframes with the results, comparing the dataframes using an 'exact' and a 'subset' match, logging these alongside other metrics of interest, and aggregating the results for reporting. The repository provides comprehensive instructions for installing dependencies, starting a Postgres instance, importing data into Postgres, importing data into Snowflake, using private data, implementing a query generator, and running the test with different runners.

This repository provides a comprehensive list of academic papers, articles, tutorials, slides, and projects related to Large Language Model (LLM) systems. It covers various aspects of LLM research, including pre-training, serving, system efficiency optimization, multi-model systems, image generation systems, LLM applications in systems, ML systems, survey papers, LLM benchmarks and leaderboards, and other relevant resources. The repository is regularly updated to include the latest developments in this rapidly evolving field, making it a valuable resource for researchers, practitioners, and anyone interested in staying abreast of the advancements in LLM technology.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

This competition is organized by Javier Rando and Florian Tramèr from the ETH AI Center and SPY Lab at ETH Zurich. The goal of the competition is to create a method that can detect universal backdoors in aligned language models. A universal backdoor is a secret suffix that, when appended to any prompt, enables the model to answer harmful instructions. The competition provides a set of poisoned generation models, a reward model that measures how safe a completion is, and a dataset with prompts to run experiments. Participants are encouraged to use novel methods for red-teaming, automated approaches with low human oversight, and interpretability tools to find the trojans. The best submissions will be offered the chance to present their work at an event during the SaTML 2024 conference and may be invited to co-author a publication summarizing the competition results.

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