# How to Optimise Content for AI Mode and AI Overviews Queries

> Optimise content for AI Mode with a page-level checklist: answer-first openings, question headings, schema, entity clarity and how to check you appear.

- Author: Sheetal Shakshi, Founder's Office, Nurdd
- Published: 2026-10-31
- Publisher: Noma by Nurdd (https://nomahq.app)
- Original page: https://nomahq.app/blog/optimise-content-for-ai-mode

To optimise content for AI Mode, make the page indexable with a snippet, open each section with a direct answer, cover the sub-questions Google's query fan-out is likely to ask, and state plain facts about who you are and what you offer. Google says no special markup is required. Then measure with Search Console.

## Key takeaways

- Google's own documentation says there are no extra technical requirements for AI Overviews or AI Mode beyond being indexed and snippet-eligible. Fix eligibility first.
- Both features can use query fan-out, so a page wins by answering the follow-up questions around a query, not only the headline query.
- Put the answer in the first sentence under each question heading. It helps readers and gives the system a clean passage to lift.
- Schema is not required and no special schema.org type exists for these features. Keep any markup consistent with visible text.
- Since 31 August 2026, Search Console has a generative AI performance report for all sites. Use it as your baseline, then test prompts by hand.
- Run the [free AI SEO Checker](https://nomahq.app/tools/ai-seo-checker) on your page before editing anything.

## What makes a page show up in AI Mode answers?

Eligibility comes first, quality second. Google's documentation states that to be shown as a supporting link in AI Overviews or AI Mode, a page must be indexed and eligible to appear in Google Search with a snippet, and that there are no additional technical requirements ([Google Search Central, December 2025](https://developers.google.com/search/docs/appearance/ai-features)). In the same documentation Google puts it plainly:

> "There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary." *Google Search Central, AI features and your website*

Google's documentation on AI features and your website, including the eligibility rules. Source: Google Search Central.

That does not mean every indexed page appears. Google's separate guide explains that these features use retrieval-augmented generation, which pulls relevant pages from the Search index and uses them to build the response, and query fan-out, which runs a set of related queries at the same time ([Google Search Central, July 2026](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide)). So the practical question is whether your page is among the pages retrieved for the original query and its offshoots, and whether a passage on it answers one of them cleanly.

Google also says AI Overviews and AI Mode may use different models and techniques, so the links they show will differ. Do not assume that a citation in one means a citation in the other. Test both.

## How does query fan-out change the way you write?

Fan-out means one question becomes several. Google's own example: for the query "how to fix a lawn that's full of weeds", fan-out queries might include "best herbicides for lawns", "remove weeds without chemicals" and "how to prevent weeds in lawn" ([Google Search Central, July 2026](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide)). Industry explainers describe the same mechanism: [Digiday](https://digiday.com/media/wtf-is-query-fan-out-in-googles-ai-mode/) covers it from the publisher side, and [Google's own blog](https://blog.google/company-news/inside-google/googlers/how-google-ai-visual-search-works/) has an expert explaining the method.

For a writer, this changes the unit of planning from keyword to question cluster. A page that only answers the headline query competes with every other page that does. A page that also answers the three or four likely follow-ups gives the system more reasons to retrieve it.

### A worked example from Google's lawn query

Take Google's lawn example and build a page outline from the four queries Google itself lists. The result is a plan, not a prediction of what Google will run for your page.

| Query (source: Google's guide) | Section heading | Answer-first opening |
| --- | --- | --- |
| how to fix a lawn that's full of weeds | How do you fix a lawn full of weeds? | A three-step summary: identify the weed type, treat it, reseed bare patches. |
| best herbicides for lawns | Which herbicides work on lawns? | A named comparison with what each product targets and when to apply. |
| remove weeds without chemicals | How do you remove lawn weeds without chemicals? | The method, the time it takes and where it fails. |
| how to prevent weeds in lawn | How do you stop weeds coming back? | Mowing height, feeding and overseeding, in order. |

Google also warns against the lazy version of this. Creating a separate page for every fan-out variation primarily to manipulate generative responses violates its scaled content abuse policy. Build one useful page that covers the cluster, not forty thin ones.

## How do I optimise content for Google AI Mode? A page-level checklist

Run this per page, in order. Steps 1 and 2 decide whether the rest matters.

1. **Confirm the page is indexed and can show a snippet.** Check the URL Inspection tool in Search Console. Look for *noindex*, *nosnippet*, *data-nosnippet* or a restrictive *max-snippet*, all of which Google lists as controls that limit what appears in AI features.
2. **Check crawl access at every layer.** Google lists allowing crawling in robots.txt and by any CDN or hosting infrastructure. The [free AI Crawler Checker](https://nomahq.app/tools/ai-crawler-checker) tests Google AI and other bots against your robots.txt.
3. **Write the target question as a heading.** Use the words a buyer would type, as an H2 or H3.
4. **Answer in the first sentence under it.** Give the conclusion, then the reasoning. One idea per paragraph.
5. **Cover the fan-out.** List five to eight follow-up questions (see the method below) and give each a heading or a clear paragraph.
6. **Add something only you can add.** Google asks for non-commodity content: first-hand experience, original data, a real example. A summary of what exists already adds nothing for the system to prefer.
7. **Make entities unambiguous.** Name the company, product, person and category in full on first mention, and state the relationship: who makes it, who it is for, what it costs, where it applies.
8. **Keep key facts in text.** Google lists making sure important content is available in textual form. Put prices, specifications and dates in HTML, not only in images or scripts.
9. **Add markup that matches the page.** Use Article, Organization, Product or FAQ markup only where the visible text says the same thing.
10. **Refresh dates and facts.** State when a figure was checked.
11. **Add useful images or video where they help.** Google says these features can bring in images and video.
12. **Request a recrawl and set a re-test date.** Google says recrawling can take days to months.

### Build the fan-out list with a free tool

You cannot see Google's fan-out queries directly. Approximate them: take your target query, then collect the questions buyers ask around it. The [free AI Prompt Finder](https://nomahq.app/tools/ai-prompt-finder) returns questions about your category tagged by intent, which gives you a starting list. Cross-check against the "People also ask" box and your Search Console queries. Treat the list as a hypothesis about what the system asks, and keep what a reader would genuinely want answered.

## What does an answer-first opening look like?

It states the conclusion, names the entity in full, and stands alone if copied out of the page. Compare two openings for a page about a project management tool.

| Weak opening | Answer-first opening |
| --- | --- |
| "Choosing the right tool can feel overwhelming, so we have put together this guide." | "Acme Boards suits teams of 5 to 50 that need task tracking with client-facing views. It costs $12 per user per month (checked 30 October 2026)." |
| "Many people wonder about refunds." | "Acme Boards refunds annual plans within 30 days of purchase. Monthly plans are not refunded." |

Acme Boards is a made-up example to show structure, not a real product or policy. The point: the second column contains a subject, a verdict, a number and a date, so any single sentence is usable on its own.

Onely, an SEO agency, recommends 40 to 60 word answer blocks and a high entity count in its enterprise guide ([Onely, September 2026](https://www.onely.com/blog/how-to-optimize-for-google-ai-mode/)). Treat that as one practitioner's rule of thumb. Google's guide says there is no ideal page length and that chunking content for AI is not required. Use short answer paragraphs because they read well, not because a number demands it.

## Do I need schema markup to get cited in AI Overviews?

No. Google's guide says structured data is not required for generative AI search and that there is no special schema.org markup to add, but it is still worth using for rich result eligibility. Its AI features page adds the condition that matters: structured data should match the visible text on the page.

So the rule is: mark up what is on the page, nothing more. Use Organization markup to state your name, URL and profiles, Article markup for dated posts, Product and Offer for items you sell. The [free Schema Markup Generator and Validator](https://nomahq.app/tools/schema-generator) produces JSON-LD prefilled from your site and flags errors in existing markup.

### What to ignore, according to Google

Google's guide includes a short myth-busting list. The table sets each tactic next to that guidance, so you can drop work that does nothing for Google specifically.

| Tactic | What Google's guide says | What to do |
| --- | --- | --- |
| llms.txt files | Google Search does not use them; they neither help nor harm. | Optional. Keep one if other tools read it. See our [llms.txt guide](https://nomahq.app/blog/llms-txt-guide). |
| Chunking content into tiny pieces | Not required; systems can pick the relevant piece from a page. | Write for readers; use clear headings. |
| Rewriting content just for AI | Not needed; systems understand synonyms and meaning. | Keep natural language. |
| Seeking inauthentic mentions | Not as helpful as it seems; spam systems apply. | Earn genuine coverage only. |
| Over-focusing on structured data | Not required; no special type. | Use it for accuracy, not as a lever. |

One caution on scope. Google speaks for Google. ChatGPT, Perplexity and Claude use their own crawlers and retrieval, so llms.txt or third-party mentions may matter there. Our post on [how AI engines choose citations](https://nomahq.app/blog/how-ai-engines-choose-citations) covers the differences.

## How do I get cited in AI Overviews, in practice?

Citation comes from the same retrieval step as AI Mode, so the checklist above applies. Three additions are specific to getting a link shown.

- **Target queries where an Overview appears.** Google says AI Overviews are shown only when its systems judge them additive to classic Search, and often do not trigger. Check the live results for your query before investing.
- **Rank for the basics first.** Because the features are rooted in core ranking systems, a page that cannot be retrieved for the query is unlikely to be linked. The [free Google Rank vs AI Mode Checker](https://nomahq.app/tools/google-rank-vs-ai-mode) puts your ranking next to what AI Overviews and AI Mode cite for the same query, which shows the gap quickly.
- **Own the entity details Google also reads elsewhere.** For local and ecommerce answers, Google points to Merchant Center feeds and Business Profiles. Keep them current. Product pages have their own issues, covered in our post on [winning AI Overviews for product pages](https://nomahq.app/blog/win-ai-overviews-for-product-pages).

MarTech's guide to AI Mode also stresses topical depth, original content and presence across the places AI models draw from ([MarTech, July 2025](https://martech.org/11-ways-to-optimize-for-google-ai-mode-without-getting-lost-in-the-weeds/)). That fits Google's own view: depth and originality are the durable part.

## How do I check whether my content appears in AI Mode answers?

Use two methods together. Search Console shows what Google reports. Manual prompt tests show what a buyer sees.

### Method 1: Search Console generative AI performance report

Google's support page notes that as of 31 August 2026 the report is available to all websites worldwide. It shows impressions from AI Overviews and AI Mode, which pages get the most, and breakdowns by country, date and device ([Google Search Console Help, August 2026](https://support.google.com/webmasters/answer/16984139)). Limits worth knowing:

- It reports impressions: how many times links to your site were shown. Do not read it as a ranking position.
- It combines AI Overviews and AI Mode, so you cannot separate the two from this report alone.
- The usual 1,000-row limit of the Performance report applies.
- It excludes Search Labs experiments, and may not appear if your site has too few impressions or was excluded from generative AI features.

Export the pages table before you edit anything. That is your baseline.

### Method 2: A repeatable prompt test

1. Write 10 to 20 prompts: the target query plus its fan-out questions, in buyers' words.
2. Run each in AI Mode and a standard search, logged out, from the same location and device.
3. Record whether an Overview or AI Mode answer appeared, whether your brand is named, whether your URL is linked, and which competitors are linked.
4. Repeat on a fixed date each month. Answers vary between runs, so one test proves little. Repeat a prompt several times before you call a change.

Separate a *mention* (your brand named in the text) from a *citation* (your URL linked). They need different fixes, as our post on [citation vs brand mention](https://nomahq.app/blog/citation-vs-brand-mention) explains, and our guide to [which prompts to track](https://nomahq.app/blog/which-prompts-to-track) shows how to choose a set that stays comparable.

### Which signal answers which question

| Question | Best signal | Limit |
| --- | --- | --- |
| Is Google showing my pages in AI features? | Search Console generative AI report | Impressions only; AI Overviews and AI Mode combined |
| Am I named in the answer text? | Manual prompt log | Small samples; answers vary |
| Who is linked instead of me? | Manual log or a tracking tool | Needs repeats to be reliable |
| Can AI crawlers read my page? | [AI SEO Checker](https://nomahq.app/tools/ai-seo-checker) | Shows readiness, not outcomes |

## How should I test a page before and after changes?

Change one page at a time and keep the prompt set fixed. A simple sequence:

1. Run the [free AI SEO Checker](https://nomahq.app/tools/ai-seo-checker) on the URL. It runs 30+ checks on SEO and whether AI engines can read the page, and lists top fixes.
2. Paste the draft into the [free Content AI-Readiness Grader](https://nomahq.app/tools/content-grader) to see which passages are quotable and which are weak.
3. Record the Search Console baseline and your prompt log.
4. Publish the edit, request recrawl, and wait for Google to process it.
5. Re-run the log after four to six weeks and compare the same prompts.

The four to six week gap is a working suggestion, not a Google figure. Google says recrawling can take days to months, so keep the check date open if the page has not been recrawled.

## Where Noma fits

Noma by Nurdd is an answer engine optimisation platform that asks 13 AI engines, including ChatGPT, Gemini, Perplexity and Claude, the questions your buyers ask every day. For this problem it shows whether your brand is named in each answer, which competitors are named instead, and which pages the answers cite. It does not replace Search Console, which reports Google's own impressions.

See it on your own brand: [book a demo](https://nomahq.app/demo) or [start the 3-day free trial](https://platform.nomahq.app/signup).

## Common mistakes

- **Writing a page for each fan-out query.** Google calls this out as a spam risk and it dilutes the site.
- **Chasing a schema type.** Markup helps rich results and accuracy. It is not an AI Mode switch.
- **Burying the answer.** A 300-word preamble before the verdict leaves nothing quotable at the top.
- **Blocking snippets by accident.** A *nosnippet* rule inherited from a template removes the page from eligibility.
- **Judging by one search.** One run is an anecdote. Log repeats.
- **Treating AI Overviews and AI Mode as the same.** Google says the links shown vary.

## How we researched this

We reviewed Google Search Central documentation on AI features and generative AI optimisation, Google's Search Console help page for the generative AI performance report, and published guides from Onely and MarTech, plus Digiday and Google's blog on query fan-out. We read the Google pages in full. Facts, dates and tool descriptions were checked on 2026-10-30. We ran no tests of our own for this post, so the checklist applies Google's published guidance and standard measurement practice rather than reporting new data.

## What to do next

Pick your five most important pages. Run each through the [free AI SEO Checker](https://nomahq.app/tools/ai-seo-checker), export the Search Console generative AI report, and rewrite the opening of each section so the answer comes first. To track how AI engines name your brand across the full set of questions, [book a demo](https://nomahq.app/demo) or [start the free trial](https://platform.nomahq.app/signup). For the wider programme, read our [AEO in 30 days checklist](https://nomahq.app/blog/aeo-in-30-days).