Can I save my settings for recurring use?

Yes. The system prompt instructing the blog agent on what and how to do remains the same for all runs, unless you change it. As for brand voice guidelines, tone, audience, you can store them permanently in two ways. First, add a brand guidelines document to your FlowHunt knowledge sources — the agent will reference it on every run without you having to include it in the prompt. Second, use FlowHunt's memory feature to retain preferences across sessions so the agent builds on context from previous runs rather than starting fresh each time.

How do I feed in my brand voice guidelines?

Two options depending on your use case. For a one-off article or unusual use cases, include a short description of your brand voice directly in the chat prompt. For recurring use: upload your full brand voice document to FlowHunt's knowledge sources so the agent always has access to it without manual input.

What keyword research should I do before using the agent?

At minimum, identify your primary keyword before briefing the agent. Including it in your prompt directs the agent's research and heading structure toward that query. If you want a more structured starting point, the content brief generator takes that keyword and returns an SEO-optimized title, meta description, and section-by-section outline, which you can then hand to the blog agent as your brief.

Can it pull in current statistics and data?

Yes. The agent uses live research tools during the Research phase, querying external sources for the latest data, statistics, case studies, and technical insights related to your topic. It does not rely solely on training data. This means articles on fast-moving topics rather than what was true when the model was trained. You should still verify any specific statistics before publishing, but the agent's research layer surfaces current material rather than defaulting to outdated training knowledge.

How do I connect it to my CMS?

The agent outputs clean, structured Markdown, ready to paste directly into any CMS or Markdown-based publishing workflow including WordPress, Webflow, Notion, Contentful, or any static site generator. For automated publishing without manual copy-pasting, FlowHunt supports integrations and MCP servers that can connect the agent's output directly to your CMS. A WordPress integration, for example, can be configured to push the generated Markdown directly to a draft post in your WordPress instance without any manual step.

Blog Content Agent: Full Setup and Your First AI-Generated Post

A step-by-step walkthrough of generating your first blog post with FlowHunt’s Blog Content Agent, from entering your topic to publishing a fully optimized article.

AI Tutorial Blog Generation FlowHunt

Generate Your First Blog Post Free Book a Demo

This FlowHunt blog content agent tutorial walks through every step of generating your first article — from the initial prompt to a draft ready for editorial review. The agent is a single deep AI agent that handles research, analysis, and writing in one uninterrupted run. No pipeline to configure, no multi-step tool coordination. For a conceptual overview of how the agent compares to AI writing assistants and where it fits in a content workflow, see how to generate SEO blog posts with an AI agent .

Prerequisites: What to Prepare Before Starting

Before your first run, have three things ready.

A FlowHunt account. You can start free with no credit card required. The Blog Content Agent is available from day one.

A topic and a target keyword. The topic is what the article is about. The keyword is the search term you want it to rank for — ideally one you’ve validated has search demand. If you’re unsure which keyword to target, the content brief generator can take a broader subject and return a keyword-anchored brief with title, meta description, and outline as a useful pre-step.

Optional: brand voice notes. If you want the output to reflect your brand’s specific tone, have a short description ready — one to three sentences on how your brand sounds and who it’s written for. You can include this in your first prompt or store it permanently in FlowHunt’s knowledge sources for every future run.

Step 1: Enter Your Topic and Target Keyword

Open the Blog Content Agent and type your topic into the chat interface. The agent accepts a topic or an industry trend as input — there is no form to fill out.

A well-formed first message includes three things: the topic, the primary keyword, and any relevant audience context. For example:

“Write an article on how SaaS companies use AI for customer onboarding. Target keyword: AI customer onboarding software. Audience: SaaS product managers and customer success leads.”

The more specific your input, the more targeted the research and output will be. “AI tools for business” is too broad to produce a focused article. “How to automate employee onboarding with AI in 2026” gives the agent a concrete research direction.

If you have brand voice guidelines, include them in this first message or note that they’re stored in your knowledge base.

Step 2: Generate and Review the Full Draft

After confirming the outline and any customizations, the agent runs its three-phase process:

Research — it uses live tools to search for the latest data, statistics, case studies, and technical insights on your topic. Not training data alone — current sources at generation time.
Analysis — it synthesizes the research into the outline structure, identifying the key angles, comparisons, and evidence worth including.
Execution — it writes the full article in clean, structured Markdown: heading hierarchy (H1/H2/H3), at least one comparative data table, Pro-Tip and Key Takeaway callouts, and a conclusion.

The output is 1,500+ words of substantive depth. No shallow summaries, no filler conclusions. Read the full draft once before editing — the research phase often surfaces angles or data points you didn’t anticipate, which may inform how you frame the article.

Step 3: Apply the Pre-Publish Checklist

The draft is a strong foundation, not a finished product. A 20–30 minute editing pass covers everything the agent cannot do automatically.

Verify statistics and data points. The agent pulls from live sources, but confirm any specific numbers before publishing. A few minutes of spot-checking protects against sourcing errors.

Add first-hand examples. Replace generic examples with specific cases from your own product, customers, or experience. These are the E-E-A-T signals — Experience, Expertise, Authoritativeness, Trustworthiness — that search engines weight and that AI cannot authentically fabricate.

Check brand voice. Review for any phrasing that’s technically correct but doesn’t sound like your brand. If you stored brand guidelines in your knowledge sources, this pass should be minimal.

Step 4: Add Images & Internal Links, Then Publish

Add images. The agent generates text only by default. You can connect the Photomatic AI component and include it in the prompt to get automatically generated images, or just insert the images and write descriptive alt text manually.

Internal links are the single most important thing to add in editing. Go through the draft and link to relevant pages on your domain where anchor text naturally fits. This is also one of the highest-ROI on-page SEO actions you can take.

For teams with a large site or high publishing volume , there is a more scalable option: provide the agent with your site’s page structure and instruct it to suggest internal links as part of the generation run. You can add your sitemap or a structured list of key URLs to your FlowHunt knowledge sources and include an instruction like: “Suggest 3–5 internal links from the provided site structure where they fit naturally in the article.” The agent will propose anchor text and target URLs within the draft, which you review before publishing.

Publishing The Markdown output goes directly into your CMS — WordPress, Webflow, Contentful, Notion, or any static site generator. For teams who want to remove the manual step entirely, FlowHunt supports integrations and MCP servers for automated publishing. A WordPress integration, for example, can push the final draft directly to a WordPress draft post without copy-pasting.

Once the draft is live, your first FlowHunt blog content agent run is complete. The same workflow — brief, outline, customize, generate, edit, publish — repeats for every subsequent article. With the agent handling research and drafting, the entire cycle from topic to published post typically takes under an hour. Explore more workflows and tool guides in the academy .

Frequently asked questions

: Yes. The system prompt instructing the blog agent on what and how to do remains the same for all runs, unless you change it. As for brand voice guidelines, tone, audience, you can store them permanently in two ways. First, add a brand guidelines document to your FlowHunt knowledge sources — the agent will reference it on every run without you having to include it in the prompt. Second, use FlowHunt's memory feature to retain preferences across sessions so the agent builds on context from previous runs rather than starting fresh each time.
: Two options depending on your use case. For a one-off article or unusual use cases, include a short description of your brand voice directly in the chat prompt. For recurring use: upload your full brand voice document to FlowHunt's knowledge sources so the agent always has access to it without manual input.
: At minimum, identify your primary keyword before briefing the agent. Including it in your prompt directs the agent's research and heading structure toward that query. If you want a more structured starting point, the content brief generator takes that keyword and returns an SEO-optimized title, meta description, and section-by-section outline, which you can then hand to the blog agent as your brief.
: Yes. The agent uses live research tools during the Research phase, querying external sources for the latest data, statistics, case studies, and technical insights related to your topic. It does not rely solely on training data. This means articles on fast-moving topics rather than what was true when the model was trained. You should still verify any specific statistics before publishing, but the agent's research layer surfaces current material rather than defaulting to outdated training knowledge.
: The agent outputs clean, structured Markdown, ready to paste directly into any CMS or Markdown-based publishing workflow including WordPress, Webflow, Notion, Contentful, or any static site generator. For automated publishing without manual copy-pasting, FlowHunt supports integrations and MCP servers that can connect the agent's output directly to your CMS. A WordPress integration, for example, can be configured to push the generated Markdown directly to a draft post in your WordPress instance without any manual step.

Generate Your First Blog Post Free

FlowHunt's Blog Content Agent handles research, analysis, and writing in one run — no setup, no pipeline to manage. Try it free and get your first article in minutes.

Generate Your First Blog Post Free Book a Demo