Keyword Research
Getting Started with Keyword Research: A Step-by-Step Guide
Linkeddit's keyword research tool uses AI to discover and score keywords based on how likely they are to convert, not just search volume. This guide walks you through creating your first research job and interpreting the results.
On this page
Creating a keyword research job
Navigate to the Keyword Research section from the dashboard. Click New Research to start a job. Give it a descriptive name so you can find it later, like 'Q2 SaaS Lead Gen Keywords' or 'Competitor Comparison Terms'.
Writing effective product context
Product context is the most important input. The AI uses it to score every keyword for relevance and conversion potential. Include what your product does, who it is for, your core value propositions, and which keyword themes are most and least relevant to your business.
Be specific. Vague descriptions like 'a marketing tool' produce generic results. Instead, describe the exact problems you solve, the audience you serve, and how you differ from alternatives.
- Include your product name and URL
- List 3-5 target user types with their roles
- Describe 3-5 core features or value propositions
- Name high-value keyword themes you want to target
- Name low-value themes the AI should score lower
Adding seed keywords
Seed keywords are optional starting points. They get expanded through Google Autocomplete to discover what people actually search for. You can add them one at a time or paste a comma-separated list for bulk entry.
Use short, generic seeds like 'reddit lead gen' or 'prospecting tool'. Long phrases like 'how to find potential customers on reddit' are too specific for autocomplete to expand.
Running the pipeline
After creating a job, the pipeline runs automatically. It generates AI seed keywords from your product context, expands them via Google Autocomplete and modifier combinations, scores every keyword with AI, and filters for quality. The entire process typically takes 30 to 60 seconds.
Understanding your results
Results appear in a sortable table with priority score, specificity, search intent, relevance, conversion potential, keyword type, and suggested landing page. Click any row to expand it and see the AI's reasoning, sources, and a place to add notes.
The Filtered Only toggle shows only keywords that passed quality thresholds. Turn it off to see all scored keywords including lower-quality ones.
FAQ
How long does a keyword research run take?
Most runs complete in 30 to 60 seconds. The pipeline generates seeds, expands keywords, scores them with AI, and filters for quality automatically.
How many keywords do I get per run?
Each run typically produces 30 to 60 high-quality, filtered keywords. The raw expansion generates more, but only keywords meeting specificity, relevance, and intent thresholds make the final cut.
Can I edit a job after running it?
You can edit the name, product context, and seeds before running the pipeline. Once a job has been started, the inputs are locked to preserve result integrity.
How many runs can I do per day?
The daily execution limit is shown in the sidebar. You can create unlimited research jobs, but each run counts against your daily limit.
What makes a good seed keyword?
Short, generic phrases of 2 to 5 words work best because Google Autocomplete can expand them into real search queries. Examples: 'reddit lead gen', 'prospecting tool', 'find customers reddit'.
Related pages and tools
Keyword Research Tool
Open the product and create a new keyword research job.
Keyword Research Overview
Read the full workflow, outputs, and best-practice guide.
Reddit SEO Blog Guide
See how Reddit discussions become rankable SEO opportunities.
AI Long-Tail Keyword Research
Understand why AI scoring surfaces better long-tail opportunities.
Related help pages
Keyword Research
Keyword Research: Product Overview, Workflow, and Best Practices
Understand how Linkeddit's keyword research feature works, who it is for, what each run produces, and how to use the results to build a higher-converting SEO pipeline.
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Understanding Keyword Scores: Specificity, Intent, Relevance and Conversion
Learn how Linkeddit's AI scores keywords on four dimensions and how to use priority scores to build a data-driven content strategy.
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Managing Your Keyword Pipeline: From Discovery to Ranking
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