AI Article Agents: Publishing Original Articles Every Night

Short answer: a nightly article agent reads the public posts of a business's competitors, finds the searches those posts target that the business has not answered, researches public sources, drafts an original article, checks it against the sources and queues it for a person to approve. Google's position since February 2023 is that appropriate use of AI is not against its guidelines, while generating many pages mainly to manipulate rankings is spam. The model calls cost a few dollars a month; the review time is the real cost.

Sources are Google Search Central and the pricing pages of Anthropic, OpenAI and Vercel, checked 17 October 2026.

What does a nightly article agent do?

A scheduled job, run once a day, in six steps:

1. Read sitemaps and feeds. Fetch competitor sitemaps and public post lists. Record each title, URL and date.
2. Map searches, not posts. For each competitor post, work out the search it answers. Group posts by search. Mark which searches the client already covers.
3. Pick one gap. Choose the uncovered search with the strongest buying intent.
4. Research. Fetch primary sources: government pages, platform pricing pages, official documentation, dated studies. Extract figures and URLs.
5. Draft to a brief. Write from an outline, in the client's voice rules, with every figure linked.
6. Check and queue. Run fact, style and similarity checks, then save a draft for a person.

Output per night: one article of 900 to 1,400 words, with front matter, FAQ pairs, sources and internal links.

How does it choose topics from competitor posts without copying them?

The agent reads competitor posts to learn which questions the market asks, then closes the file. The text it writes comes from its outline and from primary sources, not from the competitor page.

Controls:

• Topic from the search, not the post. The unit of work is "website redesign cost singapore", not a competitor's article about it.
• Own outline. Headings are the questions buyers ask, fixed in a plan before drafting.
• Primary sources only for facts. Prices from pricing pages, rules from government pages, data from named studies with dates. A competitor's figure is never a source.
• No competitor text in the drafting step. The drafting step receives the outline, the sources and the brief, not the competitor page.
• Similarity check. The draft is compared against the competitor pages it was planned from; sentences above a threshold are rejected.
• Competitor names only with their own published facts. If an agency is named, the article states what its site publishes, with URL and date, with no ranking or criticism.

Google's spam policy on scaled content abuse names "using generative AI tools or other similar tools to generate many pages without adding value" and content stitched from other sources without adding benefit (Google Search Central). Rewriting competitor posts with a model fails that test twice.

How are facts checked before publishing?

Every number must pass four checks.

Rules that remove most errors:

• No figure without a URL.
• "Estimate" written next to every number that is one.
• No invented customers, quotes or results.
• Currency and GST status stated for every price.
• Articles on law or tax cite the regulator's page, not a summary of it.

Does Google penalise AI-written articles?

Not for being AI-written. Google's guidance, published 8 February 2023, states: "Appropriate use of AI or automation is not against our guidelines. This means that it is not used to generate content primarily to manipulate search rankings, which is against our spam policies." The same post says Google's ranking systems "aim to reward original, high-quality content" that shows expertise, experience, authoritativeness and trustworthiness, "however it is produced" (Google Search Central blog).

What Google does act on:

• Scaled content abuse: many pages made mainly to rank, not to help.
• Site reputation abuse: third-party content hosted to borrow a site's ranking signals.
• Content that contradicts itself or the visible page.

On disclosure, Google's helpful-content guidance asks whether the use of automation is "self-evident to visitors through disclosures or in other ways" and suggests adding a disclosure "when it would be reasonably expected" (Google Search Central). The 2023 post also advises against giving AI an author byline. A line stating that articles are drafted with AI tools and reviewed by a named person meets both points.

Test: would the article be worth publishing if a junior writer had produced it in a day. If yes, the production method is not the issue.

What does a human still review?

The agent removes research and drafting time. It does not remove judgement.

• Topic approval. Whether this is a search the business wants to be found for.
• Facts the business owns. Its prices, timelines, staff and clients. The agent cannot know a price changed yesterday.
• Claims about others. Any sentence naming a competitor, regulator or client.
• Regulated content. Financial, medical and legal articles need a professional's sign-off.
• Voice. Whether it reads as the firm, not as a model.
• The publish decision. Nothing goes live without a click.

Budget 15 to 30 minutes per article when the brief is strict and the agent cites every figure. Review time grows when the brief is loose, so the brief is where the saving is made.

What does it cost to run each month?

Three cost lines. Prices from the providers' pages on 17 October 2026, in US dollars as published.

The token figures are an estimate from cense's own runs and move with the number of sources read. A smaller model such as Claude Haiku 5.5, at US$0.10 and US$0.50 per million tokens on prompts up to 100,000 tokens, cuts the model line further but needs tighter checks.

For comparison, a freelance writer at an estimated S$200 to S$400 per researched article puts 30 articles at S$6,000 to S$12,000 a month. The agent's recurring cost is under S$50. The 10 to 15 hours of monthly review time is the cost to plan for.

What cense does

cense runs a marketing AI agent that writes articles nightly from the client's industry and competitor posts. The client approves every article before it publishes, and the site and its content belong to the client. See SEO and AI search and products.