Grounding Queries: A Study Plan for Learning How AI Answers Cite Pages

Grounding queries are the best free way to learn how AI answers pick your pages. They are the short phrases an AI system used to look up content before it wrote an answer. Learning to read them, and then to match your pages to them, is a practical skill you can build in four weeks.

This guide explains the idea in plain terms. It then gives you a study plan, three hands-on exercises and a way to check your own work.

What a Grounding Query Is

When you ask an AI assistant a question, it often searches for fresh sources before it answers. The words it searches with are not always your words. Microsoft calls these phrases grounding queries and defines them as the key phrases the AI used when retrieving content that was referenced in AI-generated answers.

Microsoft added an AI Performance report to Bing Webmaster Tools in February 2026, as a public preview. It shows total citations, average cited pages per day, page-level citation activity and a sample of grounding queries. It covers Microsoft Copilot, AI summaries in Bing and select partner integrations.

The company notes that the grounding query data is only a sample. That matters for learners. Use it to spot patterns, not to count exact totals.

What Google Says About AI Features

Google takes a different approach in its public documentation. It states that there are no additional requirements to appear in AI Overviews or AI Mode, and no other special optimizations are necessary. Pages must be indexable and eligible to show a snippet.

Google also says you do not need new machine-readable files, AI text files or special markup for these features. Clicks from AI Overviews and AI Mode are counted in the Search Console Performance report under the Web search type.

So the skill you are learning is not a trick. It is the habit of writing pages that answer real questions clearly, then checking whether the evidence agrees.

The Four-Week Study Plan

Week 1: Set Up and Observe

• Verify your site in the free webmaster tools from both Microsoft and Google.
• Confirm that your key pages can be crawled and are not blocked by a noindex tag.
• List your ten most important pages in a spreadsheet with one column for the main question each page answers.

Week 2: Read the Data

• Open the AI Performance report and note total citations and average cited pages.
• Export or copy the grounding queries. Group them by topic.
• Mark which of your ten pages each query seems to match, and which queries match no page at all.

Week 3: Improve One Page

• Pick one page with a clear gap between its question and the grounding queries.
• Rewrite it using the exercises below.
• Record the date and exactly what you changed.

Week 4: Check and Reflect

• Compare the new data with your Week 2 notes.
• Write three sentences on what changed and what did not.
• Choose the next page and repeat the cycle.

Exercise 1: Match Queries to Questions

Take your grouped grounding queries and write each one as a full question a customer might ask. For example, a short phrase about permit timing becomes a question about how long a permit takes.

Then search your page for a direct answer to that question. If you cannot find one in under ten seconds, a reader or an AI system probably cannot either. That is your gap.

Exercise 2: Rewrite for Clear Structure

Microsoft's own guidance says clear headings, tables and FAQ sections help surface key information and make content easier for AI systems to reference accurately. Use that as your checklist.

1. Put the direct answer in the first two or three sentences under a heading.
2. Turn each heading into the question people actually ask.
3. Move any comparison into a simple table with labeled columns.
4. Add a short FAQ with real questions from your customers or classmates.
5. Name your sources in plain text so a reader can verify each claim.

Keep each paragraph to two or three sentences. Short, self-contained passages are easier for anyone to quote correctly.

Exercise 3: Add and Test Structured Data

Structured data labels what a page contains in a format machines read directly. It is not required for AI features, according to Google, but it helps search engines understand your content and keeps your page details consistent.

1. Choose the type that matches the page, such as an article or an FAQ.
2. Write the markup so every value matches text visible on the page.
3. Run the page through the free Rich Results Test and fix every error.
4. Re-check after any edit to the page text.

Remember that Google says markup can make a feature possible, but it never guarantees that the feature appears. Treat it as tidy labeling, not a shortcut.

How to Check Your Own Work

Good learners test before they celebrate. Use this short routine each time you change a page.

• Ask the question yourself. Type the target question into an AI assistant and a search engine. Note whether your site appears as a source.
• Repeat three times on different days. AI answers vary, so one test proves little.
• Check the reports. Look at citations by page in Bing's report and clicks in the Search Console Performance report.
• Check accuracy. If an answer quotes your page, confirm it states your facts correctly. If not, rewrite the unclear sentence.

Microsoft also lists freshness as a factor. It says regular updates help ensure AI systems reference the most current version of your content. Put a review date in your calendar for each page you improve.

Common Learner Mistakes

• Treating a sample as a total. Grounding queries are a sample, so avoid big conclusions from a few rows.
• Changing too much at once. Edit one page at a time so you know what caused any change.
• Chasing one assistant. Each platform behaves differently. Build pages that answer questions well for people, and every system benefits.
• Skipping the record. Without dated notes, you cannot learn from your own experiments.

What You Will Have at the End

After four weeks you will own a working spreadsheet of questions, pages and gaps. You will also have one rewritten page, a tested set of structured data and a written reflection. That portfolio shows real, practical skill in AI visibility, and it costs nothing but time.

No course or exercise can promise a particular ranking or citation. What you can control is how clearly your pages answer questions and how carefully you check the results.