Google killed the GBP Q&A feature. The Q&A API was officially discontinued on November 3, 2025, and the feature is gradually disappearing from listings. Google’s long-term plan is to replace it with AI-generated answers powered by Gemini.
This changes the entire game. The question is no longer “how do I seed Q&A on my listing” but “how do I control what AI systems say about my business when customers ask questions.”
How the GBP Q&A Section Works (and Why Most Businesses Ignore It)
Who Can Post Questions and Answers
Before the deprecation, any Google user could post questions on a business listing, and any Google user could answer them. Business owners could also post and answer their own questions. The feature operated as a community-driven FAQ attached to your listing.
Most businesses ignored it. Questions sat unanswered for weeks. Competitors or random users posted incorrect answers. The section accumulated outdated information that confused potential customers.
The low engagement and poor response rates are part of why Google retired it. But the underlying customer need has not changed: people still want quick answers about your business before they visit or call.
How Upvotes Determine Answer Visibility
In the Q&A system, answers with the most upvotes appeared first. This meant that incorrect answers from random users could outrank the business owner’s correct answer if the wrong answer got more upvotes.
Business owners who actively monitored and answered questions could pin their responses by upvoting them from the business account. But this required consistent attention to a feature most businesses did not even know existed.
Where Q&A Content Appears in Search Results
Q&A content appeared in Google Maps results and sometimes in Google Search knowledge panels. When a user’s query matched a question in the Q&A section, Google could surface that Q&A directly in search results, providing an answer without the user needing to visit the website.
This visibility is migrating to AI-generated answers. Instead of showing community-sourced Q&A, Google is moving toward having Gemini generate answers about your business based on your GBP data, website content, reviews, and other available information.
The Transition to AI-Generated Answers
What Changed and Why It Matters
The Q&A deprecation is part of Google’s broader shift toward AI-intermediated information. Instead of users reading raw Q&A content, they will get AI-synthesized answers. Google’s Gemini will pull information from multiple sources about your business and generate a response.
This means control shifts from “what you posted in Q&A” to “what information AI systems can find about your business.” The source data matters more than ever because you no longer write the answer directly. You write the source material that AI uses to generate answers.
If your website has clear, structured information about your hours, services, pricing, parking, accessibility, and policies, AI will generate accurate answers. If that information is buried, outdated, or missing from your web presence, AI will guess, hallucinate, or pull from inaccurate third-party sources.
How to Ensure AI Systems Have Correct Information
AI systems answering questions about your business pull from: your Google Business Profile (hours, services, attributes, photos, categories), your website (especially FAQ pages, service pages, and about pages), your reviews (patterns in what customers mention), and third-party sources (directories, Yelp, social media).
Your control points are your GBP and your website. Everything else is secondary.
On your GBP: keep every attribute current. Hours, services offered, accepted payments, accessibility features, service areas, and business description. Every field Google makes available, fill it accurately. This is the primary data source for AI answers.
On your website: publish the answers you want AI to find. If customers frequently ask “do you offer free estimates,” that answer needs to be clearly stated on your website, not buried in a PDF or mentioned only in passing.
Building Optimized FAQ Pages That Teach AI Correct Answers
Structuring FAQ Content for AI Extraction
Write FAQ pages as if you are training an AI system to answer questions about your business. Because that is exactly what you are doing.
Each question should be formatted as a heading (H2 or H3) and each answer should immediately follow in a concise paragraph. The first sentence of the answer should directly address the question. Supporting detail can follow, but the direct answer comes first.
Bad structure:
When people ask us about our pricing, we like to explain that every project is different…
Good structure:
How much does a kitchen renovation cost in Macon?
Kitchen renovations in Macon typically range from $15,000 to $45,000 depending on scope. Basic updates (countertops, backsplash, paint) fall in the $15,000 to $20,000 range. Full remodels with cabinet replacement, new appliances, and layout changes run $30,000 to $45,000.
The good structure gives AI a clear question-answer pair that it can extract and serve directly. The bad structure requires AI to parse conversational filler to find the actual answer.
Optimal answer length for AI extraction: 40 to 60 words for the direct answer, followed by supporting detail. This matches the format that both featured snippets and voice assistants prefer.
Which Questions to Prioritize
Source questions from: what customers actually ask your reception staff and sales team, Google’s “People Also Ask” boxes for your service keywords, Google Autocomplete suggestions, competitor FAQ pages, and review patterns (themes that repeatedly appear in customer reviews indicate common questions).
Prioritize questions that influence a purchase decision: pricing, availability, service area, qualifications, process, and timing. These are the questions that, if answered incorrectly by AI, will cost you customers.
Questions to include:
- What services do you offer?
- What areas do you serve?
- What are your hours?
- How much does [specific service] cost?
- Do you offer free estimates or consultations?
- Are you licensed and insured?
- How long does [specific service] take?
- What payment methods do you accept?
- Do you offer financing?
- What should I do to prepare for [service appointment]?
Implementing FAQ Schema for AI Visibility
FAQ schema (FAQPage type) still matters even though Google restricted FAQ rich results to government and health websites in August 2023. Google has not said it ignores FAQ schema. It still parses it. It still learns from it.
FAQ schema influences: featured snippet eligibility, People Also Ask appearance, voice search results, AI Overview citations, and content understanding. Even without the expandable rich result in SERPs, the schema helps Google (and other AI systems) understand the Q&A structure of your content.
Implement FAQPage schema in JSON-LD alongside your visible FAQ content. The schema should match the visible content exactly.
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "How much does a kitchen renovation cost in Macon?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Kitchen renovations in Macon typically range from $15,000 to $45,000 depending on scope."
}
}
]
}Place FAQ sections on relevant service pages, not just on a standalone FAQ page. A plumbing service page should include plumbing-specific FAQs. A water heater page should include water heater-specific FAQs. This distributes FAQ content across the pages where it is most contextually relevant.
Monitoring and Maintaining Your AI-Ready Q&A
Third-Party Questions You Need to Answer Before AI Does
Search for your business name in Google, check the AI Overview or knowledge panel, and see what questions Google’s AI answers about you. Are the answers correct? If not, the source data needs updating.
Ask questions about your business in ChatGPT, Perplexity, and Google’s AI. See what comes back. If the answers reference outdated hours, incorrect services, or wrong locations, identify where the bad data originates and correct it.
AI systems pull from the most authoritative and structured sources. If your website clearly states “we are open Saturday 9am to 1pm” and Yelp still shows your old Saturday hours of “closed,” the AI might surface either one. Clean up every data source, starting with your GBP and website, then directories and review platforms.
Flagging and Removing Spam or Misleading Information
With Q&A disappearing, the spam vector shifts. Instead of spam questions on your listing, the risk becomes inaccurate information on third-party sites that AI systems use as source material.
Monitor what third-party sites say about your business. If a directory listing shows wrong information, update it. If a review contains factually incorrect claims about your services, respond with the correct information (the response becomes part of the data AI can reference).
Keeping FAQ Content Current
Update FAQ pages quarterly. Remove answers about discontinued services. Add answers about new services. Update pricing ranges. Adjust seasonal information.
Stale FAQ content is worse than no FAQ content. If your website says “we are currently running a spring special” and it is now December, AI systems may surface that outdated promotion. Every piece of information on your FAQ pages needs to be currently accurate.
Set a quarterly review calendar. Assign someone to check every FAQ answer against current reality. This is a 30-minute task that prevents months of AI systems giving customers wrong information about your business.
The GBP Q&A feature was deprecated in November 2025 and is gradually being removed from listings. The strategies in this guide focus on controlling AI-generated answers about your business through structured website content and FAQ schema. Google’s replacement systems are evolving and may change how AI-generated answers are displayed on business profiles.