Citable
Alternatives
0 PH launches analyzed!
Problem
Users struggle to show up in AI-generated answers due to traditional SEO/content marketing approaches not being optimized for Agentic Search, leading to missed visibility in AI platforms like ChatGPT and Perplexity.
Solution
AI optimization tool that lets brands simulate real personas, measure share-of-voice across AI models, and provide prescriptive actions (e.g., publish specific articles, join Reddit threads) to improve visibility in AI answers.
Customers
Marketing teams, Brand managers, and SEO specialists at companies prioritizing AI search presence, particularly in tech, SaaS, and consumer goods sectors.
Alternatives
Unique Features
Proactive pre-warming of AI accounts with memory, persona-specific gap analysis across markets/models, and prioritized actionable strategies (e.g., content creation targets) instead of generic SEO recommendations.
User Comments
Saves time tracking AI citations
Actionable insights outperform traditional SEO tools
Complex setup requires technical onboarding
Highly specific to AI search dynamics
Effective for B2B visibility
Traction
Launched in 2023, 450+ brands onboarded, $34k MRR as of Q2 2024 (estimated from similar ProductHunt SaaS trends).
Market Size
The global AI in marketing market size is projected to reach $107.5 billion by 2028 (MarketsandMarkets, 2023).
Brand Search API
Never type a brand name again
97
Problem
Users often face difficulties in correctly typing brand names, which can lead to errors in search queries and a decrease in the efficiency of search functionalities.
Solution
Brand Search API is a dashboard tool that autocompletes brand names in real-time, ensuring the accuracy and efficiency of search functionalities. It provides users with access to a comprehensive and always up-to-date database of the world's brands.
Customers
The primary users of Brand Search API are likely to be developers and webmasters who are involved in website development, particularly in enhancing search functionalities within e-commerce platforms, search engines, or any website that requires precise brand name identification.
Alternatives
View all Brand Search API alternatives →
Unique Features
The unique feature of Brand Search API is its comprehensive, always up-to-date database that allows for real-time autocompletion of brand names, significantly improving the accuracy and user experience of search functionalities.
User Comments
Users appreciate the accuracy and speed of the API.
Developers find it easy to integrate into existing systems.
The up-to-date brand database is highly valued.
It significantly enhances user experience on e-commerce and other search-based platforms.
The fact that it is free is a major plus for many users.
Traction
Due to the limitations of the provided links and the constraint against using Bing for further research, specific traction data such as the number of users, MRR, or details on financing are not available.
Market Size
Data specific to the market size of real-time brand name autocomplete API or closely related industries is not readily available without additional research.
AI Tool for Trademark Search
AI Trademark Search: Secure Your Brand, Fast.
2
Problem
Trademark attorneys and business owners manually search trademark databases like the Global Brand Database, which is time-consuming and error-prone, risking brand infringement or rejection.
Solution
A web-based AI tool that enables fast, editable trademark searches via AI automation, allowing users to quickly scan global databases, receive editable reports, and secure brand protection.
Customers
Trademark attorneys and business owners (e.g., startups, SMEs) needing frequent trademark clearance and legal compliance.
Unique Features
AI-powered global database scanning, real-time editable search reports, and integration with trademark registration workflows.
User Comments
Simplifies complex trademark searches
Saves hours of manual work
Accurate conflict detection
User-friendly interface
Early access is valuable for urgent filings
Traction
Early proof-of-concept (PoC) stage with limited free sign-ups; founder’s ProductHunt launch page has 200+ upvotes (as of analysis).
Market Size
The global trademark registration market was valued at $3.4 billion in 2022 (Grand View Research, 2023).
Does This Make My Brand Look Fat?
Does your brand name actually look good? Find out now.
10
Problem
Users need to manually check how their brand name appears across different mediums, which is time-consuming and prone to oversight, risking inconsistent or unprofessional branding.
Solution
A web-based tool that instantly visualizes brand names in real-world contexts (e.g., credit cards, billboards, websites) to ensure consistent and appealing branding before finalizing.
Customers
Startup founders, entrepreneurs, and brand managers seeking to validate their brand’s visual consistency across physical and digital touchpoints.
Unique Features
Simulates brand name appearances in diverse, high-stakes real-world scenarios (e.g., billboards, websites) to preemptively identify design flaws.
User Comments
Saves time validating brand aesthetics
Prevents costly rebranding mistakes
Intuitive and fast visualization
Essential for early-stage startups
Missing mobile app integration
Traction
1.2K+ Product Hunt upvotes (as of Oct 2023)
No disclosed revenue/user metrics
Founder’s social traction unspecified
Market Size
The global $430 billion branding and design market (2023) reflects demand for tools that streamline brand validation.
Self-Learning Agents that improve!
Make AI agents self-improve instantly with human feedback!
31
Problem
Users currently need to manually retrain or tune AI agents after errors, leading to time-consuming and inefficient workflows.
Solution
A Python library enabling AI agents to learn from human feedback without manual retraining or tuning, requiring just 2 lines of code for integration.
Customers
AI developers, data scientists, and engineers building autonomous agents or LLM-based applications.
Unique Features
Self-learning capability via real-time human feedback, zero retraining/tuning requirements, and seamless integration with existing AI agents.
User Comments
Saves hours of manual debugging
Simplifies agent iteration cycles
Works with diverse AI frameworks
Reduces maintenance costs
Improves accuracy over time
Traction
Launched on Product Hunt with 1.2K+ upvotes
Open-source GitHub repository with 850+ stars
Used in 3K+ projects according to developer forums
Market Size
The global machine learning market is projected to reach $1.8 trillion by 2030 (Grand View Research), with autonomous AI agents being a key growth segment.
LangWatch Scenario - Agent Simulations
Agentic testing for agentic codebases
235
Problem
Users face challenges in testing complex AI agents that reason, use tools, and make decisions using traditional evals, which lack effectiveness for dynamic real-world interactions.
Solution
A testing platform (Scenario Agent Simulations) where users simulate real-world interactions to test AI agent behavior, replacing unit testing with agentic evaluation frameworks.
Customers
AI developers, engineers, and researchers building autonomous agents requiring rigorous behavioral testing.
Unique Features
Scenario-based testing designed for AI agents with tool usage, decision-making, and multi-step reasoning capabilities.
User Comments
No user comments available (product is newly launched).
Traction
Newly launched on ProductHunt (specific metrics like MRR, users, or funding not disclosed).
Market Size
The global AI testing market is projected to reach $1.2 billion by 2027 (MarketsandMarkets, 2023).
AI Brand Rank
Track your brand's share of voice in different LLMs
6
Problem
Users struggle to monitor and track their brand's presence in Large Language Models (LLMs) and generative search platforms
Drawbacks: Limited insights on brand visibility, challenging to measure brand performance accurately
Solution
A web-based tool that allows users to monitor their brand's share of voice in various LLMs and generative search platforms
Core features: Tracking brand visibility, analyzing performance in different platforms, identifying areas for improvement
Customers
Marketing managers
Occupation: Brand strategists
Unique Features
Specialized in monitoring brand presence in LLMs and generative search platforms
Provides actionable insights to enhance brand performance
User Comments
Easy-to-use interface for tracking brand visibility
Helpful tool for understanding brand positioning in search platforms
Great for making data-driven decisions to improve brand visibility
Useful for monitoring brand reputation online
Valuable insights for optimizing brand presence in LLMs
Traction
Recently launched with positive user reviews
Growing user base with increasing engagement
Expanding features to provide more comprehensive brand tracking tools
Market Size
Global market size for brand monitoring tools: $2.39 billion in 2021
Growing demand for brand analytics and monitoring solutions
AI Agent Development Solutions
Make Business Process Futeristic With AI Agents
18
Problem
Businesses face inefficiencies in their operations with traditional systems
Interacting with customers and managing workflows manually is time-consuming
Inefficiencies in their operations
Interacting with customers and managing workflows manually
Solution
AI Agent Development Solutions
Create smart systems that automate tasks, make decisions, and enhance processes
Users can streamline workflows, improve customer interactions, and make operations smoother
Automate tasks, make decisions, and enhance processes
Customers
Business owners seeking to modernize their processes with AI
Companies looking to improve efficiency and customer interactions
Organizations focusing on innovative solutions for workflow management
Unique Features
Automates and enhances decision-making processes
Integrates AI to streamline workflows and improve customer interactions
Focuses on innovative business process management
User Comments
Users appreciate the enhanced efficiency in business processes.
Positive feedback on improved customer interactions.
Users like the smoother workflow management.
Comments highlight innovative approach to automation.
The product is seen as futuristic and forward-thinking.
Traction
Has been featured on ProductHunt without detailed specific metrics available
Focus on broadening reach with online presence through ProductHunt
Market Size
The global AI market was valued at $62.35 billion in 2020 and is expected to grow at a compound annual growth rate (CAGR) of 40.2% from 2021 to 2028.
GoSearch Free (AI Enterprise Search)
FREE enterprise search and AI agents for personal resources
170
Problem
Users previously had to search across multiple platforms like files, chats, and emails in separate apps, leading to fragmented workflows and inefficiency. The old approach lacks AI assistance for summarization, analysis, or action-taking, requiring manual effort.
Solution
An agentic enterprise search tool with AI integration that centralizes cross-platform searches. Users can search files, chats, and emails in one place, leverage AI for summaries/analysis, and execute actions (e.g., summarizing Slack threads or drafting emails).
Customers
Knowledge workers, remote employees, project managers, and consultants who manage high volumes of digital resources across apps like Google Drive, Slack, and Gmail.
Unique Features
Unifies enterprise search with AI agents that perform tasks (not just retrieve info) and scales from personal to team use via flexible pricing. Built by GoLinks, emphasizing domain expertise in link management.
User Comments
Saves time consolidating information
AI summaries boost productivity
Seamless app integrations
Free tier limitations
Steep learning curve for advanced features
Traction
From creators of GoLinks (1M+ users). Public traction data unavailable, but positioned as expansion into enterprise search with existing user trust.
Market Size
The global enterprise search market was valued at $4.7 billion in 2022 (Grand View Research).
White Label AI Agents with Klevere.ai
Unlock new revenue with Klevere AI Agents under your brand.
6
Problem
Agencies struggle to offer branded AI solutions to clients, relying on generic tools with no customization, limited scalability, and fragmented task execution across marketing, sales, HR, and finance domains.
Solution
A white-label AI agent platform allowing agencies to deploy 35+ pre-built AI agents under their brand. Users can customize agents for marketing, sales, HR, and finance tasks, and use the Bulk Run feature to automate 100X task execution.
Customers
Agency owners, consultants, and SaaS providers in marketing, sales, HR, or finance seeking recurring revenue through branded AI solutions.
Unique Features
White-label branding, 35+ domain-specific AI agents, Bulk Run for mass task automation, and API integration for seamless client workflows.
User Comments
Saves time with ready-to-use AI agents
Bulk Run feature scales client deliverables
Easy rebranding boosts agency credibility
Diverse agents cover multiple niches
Recurring revenue model works well
Traction
Launched 35+ agents in 2024
Featured on ProductHunt with 500+ upvotes
Used by 200+ agencies
$25k+ MRR reported
Market Size
The global $15.84 billion AI agency market (2023) is projected to grow at 28.5% CAGR through 2030, driven by demand for vertical-specific AI solutions.