Welcome to AIVisCity Weekly — a free weekly briefing helping small business owners understand how AI search is changing customer discovery, and what practical steps they can take next.
In this week’s issue:
- What’s Happening in AI Search — new choices over AI use of your content, and AI Mode advertising expands.
- Weekly Insight — turn customer advice into a useful blog with AI assistance and one final review.
- Try This Yourself — develop your own topic list and draft a post with AI assistance.
- Worth Reading — ongoing search requests and the destinations behind AI answer links.
- AIVisCity Answers — publish menus and price lists in a format search systems can access.
📰 What’s Happening in AI Search
Bing separates training choices from use in AI answers
Microsoft’s 30 October announcement sets out independent preferences for AI training and “grounding”: using web content to inform generated answers. The new preferences start taking effect on recrawl from 1 February 2027, while eligibility for ordinary Bing results remains separate. If your website uses NoArchive or NoCache, ask whoever maintains it to review Microsoft’s transition instructions before 1 March. Check the intended effect on AI visibility: Microsoft says restricting grounding reduces visibility in AI experiences, even when a page remains eligible for traditional search.
Source: Microsoft Bing.
AI Mode advertising expands, with the UK planned next
Google’s 28 October announcement expands AI Mode ads to ten countries, including Australia, Canada and India, and plans further markets including the UK during Q4 2026. It also introduces ads in follow-up queries in the US. For businesses considering paid discovery, check availability in your market before planning a campaign. When reviewing how your business appears in AI Mode, look for the “Sponsored” label Google says these ads carry, so you can distinguish paid placements from other results.
Source: Google.
🔮 Weekly Insight: Turn Customer Questions into Blogs That Support Sales
A customer researching a problem may find your advice before knowing which service or product they need. A useful blog helps them understand their options and make a decision. It should leave them better informed even if they never buy from you; a relevant offer gives interested readers somewhere to go next.
You can use AI to turn knowledge you already share with customers into that article, with one final review before publishing. Imagine a Leeds bicycle shop selling commuter accessories and offering repairs and fitting. Customers often ask how to arrive at work less wet.
1. Give AI the knowledge you already have
Start with questions you hear regularly and the advice you usually give. Add the relevant product or service descriptions and their actual website addresses. A short set of rough notes is enough to begin; leave out private customer details. Ask AI to suggest blog topics, explaining what each would help readers decide and which offer fits naturally.
The bicycle shop supplies its usual commuting questions, mudguard advice and details of its accessories and fitting service. AI could suggest:
- “How do I choose commuting mudguards?” — compare options and fitting needs.
- “What should a winter bike check cover?” — understand when servicing would help.
- “Pannier or backpack for my commute?” — choose how to carry work essentials.
Keep this business background with your writing brief so future posts can reuse it. Update the details when your offers change.
2. Choose a topic and let AI produce the draft
Pick the question customers most need help answering. Ask AI to organise and draft the article using your supplied information. Explain that the reader needs useful advice before an invitation to buy, and ask it to flag missing facts at the end.
For the mudguard article, the shop could ask: “Help commuters choose suitable mudguards. Use my notes to explain what to compare and how to check compatibility. Include a practical example and link to our range or fitting service where helpful. Use only the facts supplied and flag gaps.”
A section might read:
Before comparing mudguards, note your bicycle’s tyre size and check the manufacturer’s clearance guidance. Use those details to narrow your options, then compare how each product suits your commute. Our mudguard listings include specifications to help you make that comparison.
If you’re unsure about compatibility, our fitting service includes a check before you book.
3. Give the finished article one focused review
Read the draft as someone helping a customer. Check that the advice is useful on its own, the facts match your knowledge and supplied material, and the linked offer delivers what the article describes. Resolve flagged gaps, remove unsupported claims and open the links. Use descriptive link text so readers know whether they will find product details or a booking page.
The shop’s mechanic checks the compatibility advice and fitting promise during this read. They remove repeated booking invitations and keep the product link beside the comparison it supports.
Start with the advice your customers already value. AI can help you turn it into an article that answers their question, demonstrates your expertise and makes the next step easy to find.
💻 Try This Yourself
Take the customer questions and advice you already use, together with the relevant product or service descriptions and website addresses. Give AI an anonymous summary and ask for blog topics that would help readers make a decision.
Choose a useful question, then ask for a complete draft based on your notes, with a relevant next step and any missing facts flagged. Give it one focused review before publishing: would it help someone who never buys, are the claims accurate, and do the links lead to the right places? Keep the business background for your next post and refresh it when details change.
📕 Worth Reading
If you’re curious to look deeper into how AI search is changing the internet, these articles are worth a look.
Customer searches can continue over time
Matt G. Southern’s 2 October analysis examines continuing requests and changing information in AI search. For retailers and local businesses, it highlights why current availability, prices and opening information deserve attention when customers monitor an ongoing need. Read the analysis.
Check where an AI answer’s links lead
Southern’s 25 September report explains different link destinations in Google’s AI answers and distinguishes displayed links from visits. Follow the actual links when assessing visibility, and read impression and traffic measures according to what each records. Read the report.
✅ AIVisCity Answers
Q: How should I publish a menu or price list so AI tools can read it?
A: Publish your menu or price list as ordinary text on a public webpage. Clearly connect each item or service with its price and any conditions. Keep a designed image or PDF as an additional version, and update both together.
Want a more detailed explanation? Check out here.
👋 Until Next Week
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See you in the next issue of AIVisCity Weekly
