Which prompt should you use to automate SEO with LLMs?

SEO automation today: why LLMs are essential

This guide offers a practical, proven approach to automate your entire SEO workflow using the latest LLMs, such as Liquid AI’s draft LFM2.5-VL-3B-DSpark model and Exa’s Agent Ultra. It demonstrates how a well-crafted prompt can transform a simple brief into SEO-ready content for publication.

2026 trend: The new focused models

Liquid AI LFM2.5-VL-3B-DSpark
Exa Agent Ultra
Supersonic Labs Julia 1

When choosing an LLM for SEO, look for a model that offers:

Fast draft generation (to meet deadlines)
Contextual understanding (to adapt to brand nuances)
Integration with external tools (keyword APIs, technical monitoring, analytics)

Building the right prompt: a step-by-step guide

1. Prompt for generating article drafts

Role: SEO Content Engineer
Goal: Write an 800-word draft for a blog post that ranks for "how to automate SEO with LLMs."
Instructions:
- Start with an engaging introduction that answers the main question.
- Divide the content into three sections: (a) Current LLM trends (mention LFM2.5-VL-3B-DSpark, Agent Ultra, Julia 1), (b) Prompt engineering techniques, (c) Practical implementation checklist.
- Use a conversational tone and include 2-3 FAQs with questions and brief answers.
- Provide 3 concrete prompt examples that the reader can copy.
- Conclude with a call to action for further reading.
Write in markdown format, use headings, and add a summary at the end.

2. Prompt for keyword extraction (based on Agent Ultra)

Role: SEO Keyword Researcher
Goal: Generate 30 long-tail keywords and related questions for a new e-commerce site for sports equipment.
Instructions:
- Search for related terms in the following sectors: sports equipment, fitness, gear-review.
- Prioritize keywords with informational and commercial intent.
- For each term, provide estimated search volume (approximate) and difficulty level.
- Group keywords into clusters: "buyer's guide," "product comparison," "equipment maintenance."
- Output in markdown: a table with columns: Keyword, Volume, Difficulty, Cluster.

3. Prompt for on-page optimization (based on Julia 1)

Role: Technical SEO Auditor
Goal: Evaluate a single page (URL: /best-home-exercise-bike) and suggest improvements.
Instructions:
- Evaluate title, meta description, headings, keyword density, page speed (estimated score), mobile-first, and internal links.
- Provide 3 improvement options for each item with low/medium/high priority.
- Choose the best option among high-priority options for each item.
- Output in markdown: a table with columns: Element, Current Status, Chosen Tip, Priority.

Practical example: from keyword to page optimization

Imagine you want to rank for the keyword "how to automate SEO with LLMs." Follow these three steps using the prompts above.

Generate a draftwith prompt #1. The LFM2.5-VL-3B-DSpark model returns an 800-word draft in seconds, already structured with headings and FAQs.
Extract 30 related long-tail keywordswith prompt #2. Agent Ultra scours thousands of sources, returning a keyword table you can plug into your content strategy.
Perform an on-page auditof the generated draft using prompt #3. Julia 1 evaluates the page and suggests the exact title, meta description, and strategic keyword usage.

The result is a fully automated end-to-end workflow that requires only 10 minutes of setup and about one minute per iteration.

Tools and workflows for scaling

SEO automation suite
Prompt repository
AI-generated content pipeline
Monitoring dashboard

Behind the scenes: why this approach works in 2026

The convergence of three factors makes SEO automation with LLMs not only feasible, but almost indispensable:

Speed
Data depth
Decision-making

When you combine these strengths with well-crafted prompts, you get a system that not only creates content, but automatically aligns it with the latest ranking data, search trends, and technical best practices.

Key takeaways

Use a structured prompt to leverage LFM2.5-VL-3B-DSpark's speed in creating drafts.
Delegate keyword research to Agent Ultra for comprehensive, source-based lists.
Trust technical evaluation to Julia 1 for prioritized optimization suggestions.
Document and version prompts in a shared repository to ensure scalability and repeatability.
Integrate LLMs, research APIs, and SEO tools into an automated pipeline to reduce cycle time from days to minutes.

Conclusion

Start with a single prompt, connect it to your existing suite of tools, and watch as your content strategy adapts, scales, and dominates rankings faster than ever before.

Next steps

Choose an LLM that fits your needs (LFM2.5-VL-3B-DSpark for speed, Agent Ultra for in-depth research, Julia 1 for evaluation).
Create a basic prompt using the examples above.
Integrate the prompt into a simple pipeline (n8n/Make) and publish your first automated article.
Monitor metrics, gather feedback, and refine prompts based on performance.

The future of SEO is automated. The right prompt is the key that unlocks this future today.

IMPORTANT: We are in 2026. All temporal references must be current. Do not mention past years like 2024, 2023, etc. The content must be fresh and relevant to the present. CURRENT CONTEXT (September 2026): Here are some recent trends and news to inspire you: - Liquid AI Releases LFM2.5-VL-3B-DSpark: Speculative Decoding for Vision-Language Models With Up to 3.13x Faster Decoding: Liquid AI has released LFM2.5-VL-3B-DSpark, a 279.5M-parameter draft model that brings speculative decoding to its LFM2.5-VL-3B vision-language model.... [2026-09-26] - Supersonic Labs Releases Julia 1: A 144.3M-Parameter Open Decision Model That Runs on a CPU: Supersonic Labs has released Julia 1, a 144.3M-parameter decision model built on mmBERT-small. It takes context, a question, and 2 to 20 options, then... [2026-09-26] - Exa Launches Agent Ultra: A Subagent Swarm Deep Research API Built for Exhaustive List Building: Exa has released Agent Ultra, the highest effort mode of its Exa Agent API. It coordinates subagents across thousands of sources for list building and... [2026-09-26] Use this current information as inspiration to create an original and relevant 2026 prompt.