Make AI Recommend You
How to get content recommended by AI algorithms
October 06, 2025
Make AI Recommend You
How to get content recommended by AI algorithms
October 06, 2025
By The Javious Team
Company perspective: method and playbook for effective marketing
I once watched a baker stop a sale with a single line. A customer asked, out loud in a voice assistant, how long a soy candle would typically burn. The assistant answered. It did not link to the baker. The sale went to a maker who answered better in the place’s machines search first.
That moment is what I call the AI Moment of Truth. It is the instant a person asks a question and an algorithm decides which brand will get the click the follow up and the trust. For small businesses this is not theory. It is real. It is now.
Here is what I know from running campaigns and rebuilding a few shop websites. Machines do not reward cleverness. They reward clear answers. They prefer content that reads like a short helpful conversation. So, the simplest move you can make is to convert what you already teach in long posts into short precise answers. Five sentences. One idea per paragraph. No academic fluff.
Start with the questions your customers actually ask. Not industry slogans. Use transcripts of support calls. Pull the messages people send you on social media. If you sell accounting services one real question might be How do I record a refund in my books. That is a working question. Now answer it in 100 to 200 words. List the three required fields. Give an example entry. Show the account names. Say exactly where to click in common software. That specificity is what will let an assistant cite your page.
Next make those answers easy for machines to find. Add a dedicated page for each common question. Use clear headings. Make the first sentence a plain answer. Then expand. Think of the title as the question the user typed. Do not bury it in cleverness. Do not hide it in a long story. The story has value. Keep it after the answer.
A small shop I worked with did this for product care. They rewrote five care instructions into short Q and A pages. Within three weeks search traffic for those topics doubled and the voice assistant results began showing their brand. The content was not dramatic. It was useful and formatted to be plucked by a machine.
You also need to teach the machine who you are. Simple contact data matters. Your business name, address, phone and opening hours should appear consistently across your site and on your business listings. Include clear product specs. If you provide a service include exact service area. These are concrete signals that reduce friction when an assistant weighs which result to show.
Do not expect every user to arrive through your website. Many will show up in aggregated answers inside chat interfaces. So, create short snippets that can be quoted. A single clean paragraph of two to four sentences is easy to excerpt. That is your bait. Use it in your FAQs. Use it in social posts. Use it in the meta description.
Beyond content structure think about evidence. Machines look for credibility signals. Add simple proof. Dates for case studies. Numbers of customers served where it makes sense. A photo with alt text that explains what the image shows. A screenshot of a receipt or a before and after. These are concrete details that help an assistant verify a claim without guessing.
Here is a quick, practical checklist you can act on in a single afternoon. One selects three frequent customer questions. Two answer each in 120 words or less and give an exact example. Three publish each answer on its own page with the question as the page title. Four add a short paragraph at the top that states the answer plainly. Five make sure your contact data and service area appear on every relevant page.
Make the work repeatable. Block one hour twice a week and publish two focused answers. Keep track of which answers get traffic. Keep the ones that do. Rework the ones that do not. This is a tactical cadence not a strategy that sits in a document and never moves.
Now a note about tone. You do not need to sound like a software company. Small business owners prefer plain human voice. Write like you would explain the thing to a neighbor at a market. Short sentences. A little personality. A touch of humor if it fits. Machines do not mind tone. Humans do. Both matters.
Short videos help too. Record thirty to sixty second clips that answer one question. Post them to wherever your customers live. Transcribe those clips and paste the transcript into the matching question page. The video and the text together create multiple entry points for discovery.
Finally measure the right things. Look at which questions bring visits that turn into actions. Track time on page for these small answer pages. Track clicks to contact pages. If a page brings visitors but they leave quickly, refine the answer. If a page keeps people, expand with complementary questions.
I will not pretend this is easy. It requires discipline. It also does not require large budgets. It asks for clarity, a few hours of focused writing a willingness to publish things that are short and useful and a tiny bit of technical housekeeping.
If you want one concrete start do this right now. Pick the single question you answer most often in messages. Write a clean answer in 120 words. Publish it with a title that is exactly the question. Then watch how traffic behaves over the next week. Chances are you will be surprised.
This is the new market real estate. When people ask machines what to do, they will rely on the brands that make answers simple to find and simple to use. Be that brand.
https://about.fb.com/news/2025/10/improving-your-recommendations-apps-ai-meta/
https://www.salesforce.com/blog/we-asked-ai-about-the-future-of-smbs/
https://www.salesforce.com/blog/truth-about-ai-agents-for-small-businesses/
https://www.linkedin.com/pulse/predictive-moment-truth-pmot-marketing-age-ekapat-chareonlarp-tqbpe