Spark adds a conversational layer to the end of every article. It answers follow-up questions from your own archive, in your voice, and links readers to your next page instead of losing them to a general-purpose AI assistant. One tag. Your content, your rules.
Three-row SUVs now start under $40,000, hybrid options have doubled since 2023, and the safety gap between trims is wider than the sticker suggests. Here is what actually matters when you are shopping for a vehicle that has to do everything.
Start with how the third row gets used. If it is daily, legroom and access matter more than cargo volume. If it is occasional, a smaller footprint...
The article ends, the recommendation links point somewhere else, and the session is over. The page did its job and got one pageview for it.
The thing the reader wanted to know next is now being asked to a general-purpose AI assistant. Your reporting informed the answer. You got no session, no signal, and no loyalty.
You have already written the answer to most follow-up questions. It is three years deep in the archive where no recommendation module will ever surface it.
Three to four questions the reader is already thinking appear where the article ends. Tapping one opens an answer instead of a link away. The session continues on your page.
Answers come only from your archive, in the language of the article, with your tone. There is no generic model voice and nothing your newsroom did not publish.
Every answer cites the articles it came from and links to them. Evergreen pieces get read, the next pageview is yours, and you see which questions your coverage cannot answer yet.
Async script, Shadow DOM, no layout shift, themed to match your site.
<script async src="https://spark.adgentek.ai/spark.js" data-site="your-id"></script>It generates three to four follow-up questions from what the piece actually says, in the article's language. Editorial can approve or edit them first.
A chat opens on the page. Answers are retrieved from your indexed archive and grounded in your reporting.
Every answer links to the articles behind it. The reader's next click is another one of your pages, not someone else's.
Nothing goes in front of a reader that editorial has not allowed. Spark ships with the controls a masthead expects.
Every question asked is an editorial signal. The dashboard shows engagement by article and section, the questions readers asked that your archive could not answer, and the topics forming around your coverage. It is a story list written by your audience.
Spark is not a cost line. The conversation is new inventory on top of every existing placement on the page, filled by the Adgentek Platform, on a publisher-majority revenue share. Nothing on the article page moves.
Programmatic demand matched to the article and the question just asked.
A brand answers reader questions inside a labeled card, without leaving your page. How the unit works
A brand sponsors one chip on relevant articles.
Product links inside answers where relevant.
Email capture and intent segments you own.
One tag on one section, a holdout on the same articles, and an engagement report at the end you can take to your editor and your CFO. Editorial approves every question before it goes live.
Contact UsNo. Answers are grounded in your archive and cite your own articles. The conversation stays on the page and the next pageview is yours.
Your archive, indexed for retrieval. It does not answer from the open web. Anything a brand says inside a Spark unit comes from that brand's own approved Q&A and is labeled as sponsored.
Editorial approves or edits generated questions, sets tone per section, blocks topics, restricts advertiser categories, and has a kill switch at the page, section, or site level.
The language of the article. Spanish-language properties get Spanish questions and Spanish answers grounded in their own reporting.
No. Spark is a new surface below the article. Existing display, video, and native placements stay where they are.
One async JavaScript tag in the article template. Most publishers are live within a week.
Tell us which section and we will scope a 30-day pilot.
Contact Us hello@adgentek.ai