Best AI tools for< Improve Ranking >

Link Whisper is a smart internal linking tool powered by artificial intelligence designed to streamline the process of internal linking for SEO. It suggests relevant internal links as you write, helps in finding and building internal links to old posts, offers automatic linking from specified keywords, provides in-depth link reporting, fixes broken links, suggests internal links based on target keywords, and integrates with Google Search Console for traffic data. The tool is compatible with various editors and themes, saves time, and continuously suggests new internal link opportunities.

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Localo is an AI-powered local SEO tool and software designed to enhance the visibility and rankings of businesses on Google. It offers a comprehensive set of features such as position tracking, task management, monitoring, audit, publication platform, statistics, citations, and more. With AI-driven tasks and tools, Localo helps businesses attract new customers in their area and improve their online presence. The tool is suitable for various industries and functions, providing specialized solutions to improve business profiles and online visibility.

SEOify is a powerful AI SEO tool that offers automated optimization for websites. It is a revolutionary platform that utilizes artificial intelligence to identify key metrics and optimize sites based on real-time search data. With features like automated internal linking, effortless optimization, and intelligent keyword analysis, SEOify helps users improve their website's rankings and increase organic traffic. The tool integrates seamlessly with popular website builders and CMS platforms, making it easy for users to harness the power of next-gen SEO.

Seo Juice is an automated AI SEO tool that generates internal links for websites fully automated with AI technology. It is designed for busy individuals who want to improve their SEO without the hassle of manual keyword research. By simply adding your domain, Seo Juice crawls your sitemap and inserts links into your webpage using a simple JS snippet. The tool offers easy integration, privacy-driven internal reporting, and simple pricing suitable for businesses of all sizes. With Seo Juice, users can enjoy the benefits of automated SEO and save time on manual link building tasks.

NeuronWriter is an AI-powered content optimization tool that helps users create better-ranking content by providing advanced content editing features, semantic models, and AI-driven recommendations. The tool assists in planning, writing, and optimizing content with a focus on user intent. NeuronWriter offers NLP-based suggestions, content scoring, content ideas generation, AI writing capabilities, and additional features like plagiarism checking and internal linking. It aims to streamline the content creation process and enhance SEO performance for websites.

Squirrly SEO is an AI-powered, all-in-one SEO suite designed to help users improve their search engine optimization efforts. With over 650 features, Squirrly covers every key ranking factor from content quality to user experience. The tool provides expert AI guidance, advanced keyword research and analysis, content optimization suggestions, performance tracking, and easy integration with WordPress and other platforms. Squirrly aims to simplify SEO management and offers a fail-proof approach to optimizing websites for better search rankings.

Outranking is an AI-powered SEO content writing and optimization tool that helps users create high-quality, SEO-friendly content with ease. It leverages cutting-edge technologies like Google NLP and OpenAI GPT-4 to provide features such as AI-assisted writing, keyword clustering, content briefs, and automatic optimization. Outranking streamlines the content creation process, from generating SEO outlines to producing first drafts, optimizing content, and managing workflows. Trusted by top companies worldwide, Outranking offers a data-backed solution for achieving predictable ranking success and increasing website traffic. With a focus on user experience and efficiency, Outranking is designed to help users create content that ranks and resonates with their target audience.

Brendan Aw is an AI tool designed to assist online entrepreneurs, writers, and creators in enhancing their digital presence and productivity. The tool offers resources, tips, and experiences related to digital entrepreneurship, remote working, and wealth building. It covers topics such as blogging, copywriting, artificial intelligence, productivity, affiliate marketing, SEO, and email marketing. Brendan Aw aims to provide valuable insights and guidance to individuals looking to improve their online businesses and content creation strategies.

RivalFlow AI by SpyFu Solutions is an AI-driven tool designed to improve existing SEO content by identifying gaps between your page and pages that outrank it. It provides recommendations to fill the gaps and continuously improves content quality. The tool is focused on enhancing organic traffic and ROI for agencies, teams, freelancers, and affiliates by optimizing SEO content to outrank competitors. RivalFlow fits into the AI SEO landscape by leveraging AI-based content creation tools to help users publish more content efficiently and effectively.

Dealify is a platform offering exclusive software deals, discounts, and offers for Growth Hackers, Marketers, and Founders. It provides lifetime deals on various tools and applications to help businesses grow and improve their online presence. Dealify features a wide range of products, including SEO platforms, social media marketing tools, hosting services, chatbot solutions, and more. With a focus on providing value and savings, Dealify aims to support businesses of all sizes in their growth journey.

Rapid Prose is an AI-powered tool that allows users to effortlessly create high-quality blog articles in minutes. It significantly reduces costs and boosts the productivity of content creators. With Rapid Prose, users can generate unique articles quickly, receive confirmation emails, and collaborate with teams seamlessly. The tool offers various pricing plans to suit different needs, making it a valuable solution for content creators, marketing teams, and businesses looking to save time and improve SEO.

seoClarity is an AI-driven SEO platform designed for enterprises and agencies to optimize their search engine visibility. It offers a comprehensive suite of tools and features to improve keyword rankings, analyze SERP features, track visual and video rankings, conduct local SEO research, and provide content marketing insights. The platform also includes technical SEO capabilities, competitor analysis, SEO reporting, and data services for in-depth analysis and decision-making. With a focus on automation and data-driven strategies, seoClarity aims to help users enhance their SEO performance and achieve measurable results.

123 Internet Group is a leading and award-winning digital marketing agency based in Milton Keynes and Northampton. They offer AI-led digital marketing strategies, creative design, web development, social media management, and SEO services to local, national, and international clients. The agency focuses on strengthening brand profiles and increasing online presence through bespoke inbound marketing strategies. With a team of experienced designers, developers, content strategists, and account managers, 123 Internet Group aims to help companies thrive in the fast-paced digital marketing landscape by providing agile and adaptable marketing solutions.

Edgy Labs is an enterprise AI-enabled SEO platform that focuses on helping brands maintain peak performance in SEO through AI-driven innovations. The platform offers comprehensive solutions for search engine optimization, utilizing AI technology to redefine enterprise SEO strategies and deliver outstanding results for clients. Edgy Labs is dedicated to continuous improvement, innovation, and passion for change, providing a forward-looking mindset and a positive attitude to elevate businesses to new heights.

PostPulse is an AI-powered application designed to elevate the online presence and SEO performance of SaaS startups. It generates high-quality, SEO-optimized content and publishes it on premium domains to improve search engine rankings and drive organic traffic. With flexible subscription plans and features like auto-scheduling, PostPulse aims to help SaaS founders enhance their digital footprint effortlessly.

NoGood™ is a growth marketing agency based in NY, SF, and LA, offering a wide range of services including social ads, paid search, performance branding, SEO, content marketing, marketing analytics, and more. They have a team of experts who use multidisciplinary performance, content, and creative expertise along with robust proprietary analytics and AI tech to tackle growth challenges. NoGood focuses on industries such as SaaS, healthcare, fintech, B2B, and consumer, helping clients achieve significant revenue growth through tailored strategies and data-driven approaches.

EtsyHunt is an AI-powered platform designed to assist Etsy sellers in improving their shop ranking and visibility. With a comprehensive set of tools for product research, keyword analysis, shop optimization, and competitor tracking, EtsyHunt offers valuable insights and solutions to enhance the efficiency of Etsy operations. The platform boasts the world's largest database of ecommerce products, including millions of Etsy products, tags, and shops. By leveraging AI technology, EtsyHunt empowers sellers to make data-driven decisions and stay ahead in the competitive Etsy marketplace.

SEO Content AI is an AI-driven solution that optimizes content for search engines and enhances online presence with high-quality, long-form content. It offers features like Bulk Content Generation, Content Cluster Creation, Multi-Language Content Generation, AI-Powered Internal Linking, and Exact Keyword Targeting. The application helps users automate content creation, improve SEO, and tailor content strategies to meet specific goals. With capabilities for local cluster content automation and multi-cluster content automation, SEO Content AI streamlines content creation and boosts local search ranking.

SnackContents is an AI-powered platform that enables users to generate and automate written and video content creation in seconds. The application utilizes artificial intelligence to automatically create SEO-optimized written content and transform it into short, highly shareable videos sourced from daily web data. With features like voice-to-text, text-to-voice, and a free image bank, SnackContents offers an easy, fast, and cost-effective solution for content creation without the need for inspiration or technical skills.

Awesome-AI-SEO is a curated list of powerful AI tools and platforms designed to transform your SEO strategy. This repository gathers the most effective tools that leverage machine learning and artificial intelligence to automate and enhance key aspects of search engine optimization. Whether you are an SEO professional, digital marketer, or website owner, these tools can help you optimize your site, improve your search rankings, and increase organic traffic with greater precision and efficiency. The list features AI tools covering on-page and off-page optimization, competitor analysis, rank tracking, and advanced SEO analytics. By utilizing cutting-edge technologies, businesses can stay ahead of the competition by uncovering hidden keyword opportunities, optimizing content for better visibility, and automating time-consuming SEO tasks. With frequent updates, Awesome-AI-SEO is your go-to resource for discovering the latest AI-driven innovations in the SEO space.

Torch-Pruning (TP) is a library for structural pruning that enables pruning for a wide range of deep neural networks. It uses an algorithm called DepGraph to physically remove parameters. The library supports pruning off-the-shelf models from various frameworks and provides benchmarks for reproducing results. It offers high-level pruners, dependency graph for automatic pruning, low-level pruning functions, and supports various importance criteria and modules. Torch-Pruning is compatible with both PyTorch 1.x and 2.x versions.

udm14 is a basic website designed to facilitate easy searches on Google with the &udm=14 parameter, ensuring AI-free results without knowledge panels. The tool simplifies access to these specific search results buried within Google's interface, providing a straightforward solution for users seeking this functionality.

The Top-Osu!-Hacks-2024 repository is a comprehensive collection of cheats and mods designed to enhance gameplay experience in Osu!. It offers aim assist, relax hacks, undetected bots, and various cheats to improve gameplay. Users can easily download and install these hacks to automate gameplay, improve aim, and enjoy the game with relaxed settings. The repository is optimized for search engines and provides the latest and most effective hacks for Osu! in 2024.

The Top-Osu!-Hacks-2024 repository offers a comprehensive suite of powerful cheats and mods designed to enhance gameplay experience in Osu!. It provides aim assist hacks, bots, and various cheats to improve gameplay. Users can easily download and install the cheats to automate gameplay, improve aim accuracy, and play with relaxed settings. The repository is optimized for search engines using targeted keywords and meta descriptions to help players find Osu! hacks easily.

The NZT Poker AI Bot is an advanced tool designed to revolutionize poker gameplay by providing comprehensive features to dominate 17 rooms with the Cash Fish Monitor. It offers detailed analysis of opponents' VPIP and PFR, extensive hand history database, opponent exploitation techniques, data-driven intelligence, player profiles, advanced neural network technology, expert training, continuous refinement, and cutting-edge algorithms for maximizing poker profits. Created by a team of poker experts, this AI tool continuously adapts to the latest poker strategies and utilizes state-of-the-art technology to enhance decision-making prowess.

RAG-FiT is a library designed to improve Language Models' ability to use external information by fine-tuning models on specially created RAG-augmented datasets. The library assists in creating training data, training models using parameter-efficient finetuning (PEFT), and evaluating performance using RAG-specific metrics. It is modular, customizable via configuration files, and facilitates fast prototyping and experimentation with various RAG settings and configurations.

DevQualityEval is an evaluation benchmark and framework designed to compare and improve the quality of code generation of Language Model Models (LLMs). It provides developers with a standardized benchmark to enhance real-world usage in software development and offers users metrics and comparisons to assess the usefulness of LLMs for their tasks. The tool evaluates LLMs' performance in solving software development tasks and measures the quality of their results through a point-based system. Users can run specific tasks, such as test generation, across different programming languages to evaluate LLMs' language understanding and code generation capabilities.

Prometheus-Eval is a repository dedicated to evaluating large language models (LLMs) in generation tasks. It provides state-of-the-art language models like Prometheus 2 (7B & 8x7B) for assessing in pairwise ranking formats and achieving high correlation scores with benchmarks. The repository includes tools for training, evaluating, and using these models, along with scripts for fine-tuning on custom datasets. Prometheus aims to address issues like fairness, controllability, and affordability in evaluations by simulating human judgments and proprietary LM-based assessments.

Awesome-Story-Generation is a repository that curates a comprehensive list of papers related to Story Generation and Storytelling, focusing on the era of Large Language Models (LLMs). The repository includes papers on various topics such as Literature Review, Large Language Model, Plot Development, Better Storytelling, Story Character, Writing Style, Story Planning, Controllable Story, Reasonable Story, and Benchmark. It aims to provide a chronological collection of influential papers in the field, with a focus on citation counts for LLMs-era papers and some earlier influential papers. The repository also encourages contributions and feedback from the community to improve the collection.

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, ...

Swirl is an open-source software that allows users to simultaneously search multiple content sources and receive AI-ranked results. It connects to various data sources, including databases, public data services, and enterprise sources, and utilizes AI and LLMs to generate insights and answers based on the user's data. Swirl is easy to use, requiring only the download of a YML file, starting in Docker, and searching with Swirl. Users can add credentials to preloaded SearchProviders to access more sources. Swirl also offers integration with ChatGPT as a configured AI model. It adapts and distributes user queries to anything with a search API, re-ranking the unified results using Large Language Models without extracting or indexing anything. Swirl includes five Google Programmable Search Engines (PSEs) to get users up and running quickly. Key features of Swirl include Microsoft 365 integration, SearchProvider configurations, query adaptation, synchronous or asynchronous search federation, optional subscribe feature, pipelining of Processor stages, results stored in SQLite3 or PostgreSQL, built-in Query Transformation support, matching on word stems and handling of stopwords, duplicate detection, re-ranking of unified results using Cosine Vector Similarity, result mixers, page through all results requested, sample data sets, optional spell correction, optional search/result expiration service, easily extensible Connector and Mixer objects, and a welcoming community for collaboration and support.

Codefuse-ModelCache is a semantic cache for large language models (LLMs) that aims to optimize services by introducing a caching mechanism. It helps reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models. The project caches pre-generated model results to reduce response time for similar requests and enhance user experience. It integrates various embedding frameworks and local storage options, offering functionalities like cache-writing, cache-querying, and cache-clearing through RESTful API. The tool supports multi-tenancy, system commands, and multi-turn dialogue, with features for data isolation, database management, and model loading schemes. Future developments include data isolation based on hyperparameters, enhanced system prompt partitioning storage, and more versatile embedding models and similarity evaluation algorithms.

DeepPavlov is an open-source conversational AI library built on PyTorch. It is designed for the development of production-ready chatbots and complex conversational systems, as well as for research in the area of NLP and dialog systems. The library offers a wide range of models for tasks such as Named Entity Recognition, Intent/Sentence Classification, Question Answering, Sentence Similarity/Ranking, Syntactic Parsing, and more. DeepPavlov also provides embeddings like BERT, ELMo, and FastText for various languages, along with AutoML capabilities and integrations with REST API, Socket API, and Amazon AWS.

llm-colosseum is a tool designed to evaluate Language Model Models (LLMs) in real-time by making them fight each other in Street Fighter III. The tool assesses LLMs based on speed, strategic thinking, adaptability, out-of-the-box thinking, and resilience. It provides a benchmark for LLMs to understand their environment and take context-based actions. Users can analyze the performance of different LLMs through ELO rankings and win rate matrices. The tool allows users to run experiments, test different LLM models, and customize prompts for LLM interactions. It offers installation instructions, test mode options, logging configurations, and the ability to run the tool with local models. Users can also contribute their own LLM models for evaluation and ranking.

Codefuse-ModelCache is a semantic cache for large language models (LLMs) that aims to optimize services by introducing a caching mechanism. It helps reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models. The project facilitates sharing and exchanging technologies related to large model semantic cache through open-source collaboration.

Sage is a tool that allows users to chat with any codebase, providing a chat interface for code understanding and integration. It simplifies the process of learning how a codebase works by offering heavily documented answers sourced directly from the code. Users can set up Sage locally or on the cloud with minimal effort. The tool is designed to be easily customizable, allowing users to swap components of the pipeline and improve the algorithms powering code understanding and generation.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

Awesome-Papers-Autonomous-Agent is a curated collection of recent papers focusing on autonomous agents, specifically interested in RL-based agents and LLM-based agents. The repository aims to provide a comprehensive resource for researchers and practitioners interested in intelligent agents that can achieve goals, acquire knowledge, and continually improve. The collection includes papers on various topics such as instruction following, building agents based on world models, using language as knowledge, leveraging LLMs as a tool, generalization across tasks, continual learning, combining RL and LLM, transformer-based policies, trajectory to language, trajectory prediction, multimodal agents, training LLMs for generalization and adaptation, task-specific designing, multi-agent systems, experimental analysis, benchmarking, applications, algorithm design, and combining with RL.

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

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