Skip to main content
Freemium
Publer logo
freemium

Publer

Verified 19 hours ago
Compare Alternatives Claim this listing
About Publer 25s read
1 min read

Publer is a social media scheduling and analytics tool with an integrated AI writing assistant, automatic hashtag generation, and bulk scheduling features designed for teams and agencies managing multiple accounts. Its AI can generate captions, suggest emojis, and repurpose content across platforms with a single click, while the bulk import feature allows scheduling hundreds of posts simultaneously via CSV. Publer supports a wide range of platforms including Facebook, Instagram, LinkedIn, TikTok, and Google Business.

Best for: Agencies and social media managers who need to schedule high volumes of posts across many client accounts fastly.
Screenshot
Key Features
  • AI caption and content generation
  • Bulk scheduling via CSV import
  • Automatic hashtag suggestions
  • Multi-platform publishing
  • Analytics and link tracking
Pros & Cons
What we like
Bulk scheduling feature excellent for agency workflows
Supports a wide range of social platforms
Competitive pricing with a solid free plan
What to consider
Analytics less advanced than dedicated analytics platforms
AI writing quality inconsistent for longer content
Questions and Answers

No questions yet. Be the first to ask!

Log in to ask a question.

User Reviews

No reviews yet. Be the first to review Publer!


Log in to leave a review.

User Reviews

No reviews yet. Be the first to leave a review!

Log in to leave a review.

Was this page helpful?

AI Glossary

The simulation of human intelligence in machines programmed to think, learn, and problem-solve. AI encompasses machine learning, natural language processing, computer vision, and more.

A deep learning model trained on vast text datasets to understand and generate human-like language. Examples include GPT-4, Claude, and Gemini.

AI systems that create new content - text, images, audio, video, or code - based on patterns learned during training rather than retrieving existing data.

The practice of designing and refining input text (prompts) to guide an AI model toward producing more accurate, relevant, or creative outputs.

A computing architecture inspired by the human brain, consisting of interconnected layers of nodes that learn to recognise patterns in data.

A branch of AI where algorithms improve automatically through experience and exposure to data, without being explicitly programmed for each task.

AI technology that enables computers to understand, interpret, and generate human language - the foundation of chatbots, translation tools, and voice assistants.

The process of further training a pre-trained AI model on a specific, smaller dataset to specialise it for a particular task or domain.

When an AI model generates plausible-sounding but factually incorrect or entirely fabricated information, often presenting it with false confidence.

The units of text (roughly 4 characters or ¾ of a word in English) that LLMs process. Model costs and context limits are measured in tokens.

The maximum amount of text (measured in tokens) an LLM can process in a single interaction - both input and output combined.

A technique that enhances LLM outputs by fetching relevant external documents at query time, grounding responses in up-to-date or proprietary data.

Numerical vector representations of text, images, or other data that capture semantic meaning, enabling AI to measure similarity and retrieve relevant content.

The process of running a trained AI model to produce predictions or outputs from new input data - distinct from the training phase.

An AI system that autonomously plans and executes multi-step tasks by combining reasoning, tool use (web search, code execution, APIs), and memory.

AI models that can process and generate multiple types of data - such as text, images, audio, and video - within a single unified system.

A large-scale AI model trained on broad data that serves as a base for many downstream applications via fine-tuning or prompting.

A pricing model where core features are available for free, with premium features, higher usage limits, or advanced capabilities offered via paid plans.

A set of protocols that allows developers to integrate an AI tool's capabilities directly into their own applications and workflows.

Zero-shot means the model handles a task without any examples; few-shot means it is given a small number of examples in the prompt to guide its response.
Tool Info
Verified 19 hours ago
Pricing freemium
Added Jun 02, 2026
Source Manual Entry
Visit Website Back to Tools See Alternatives
Share:
Pricing Notes

AI tool pricing changes frequently. The pricing shown was accurate at our last editorial review. We recommend checking the tool's website directly for current plans.

Last reviewed: Oct 27, 2026
Check Current Pricing
Compare

See how Publer stacks up against alternatives.

vs DSPy vs Darktrace vs Baseten
Pricing
Freemium
Visit Tool
Best For

Agencies and social media managers who need to schedule high volumes of posts across many client accounts fastly.

Embed this tool

Add a link badge to your website or blog: