Best practices for answer engine optimization, ranked by evidence
Best practices for answer engine optimization, ranked by what Google and Bing document, with the dashboards that show whether each one worked.
Bunny Team · · 9 min read
On this page
- What are the best practices for answer engine optimization?
- Which practices do platforms actually document?
- 1. Make every URL indexable and eligible for a snippet
- 2. Lead with the answer on a URL about one topic
- 3. Keep facts explicit and entity names consistent
- 4. Keep content current and tell Bing when it changes
- 5. Write for readers and skip the AI-only tricks
- 6. Use structured data that matches the visible text
- 7. Earn links and mentions you would stand behind
- 8. Keep local business data consistent
- 9. How do you know it worked?
- How to choose
- What's new (as of 5 October 2026)
- Key takeaways
- FAQ
- Is llms.txt required to appear in Google AI Overviews?
- Does structured data help a page appear in AI answers?
- Why don't I see the generative AI performance report?
- Does following these practices guarantee citations?
What are the best practices for answer engine optimization?
Most ranking guides on best practices for answer engine optimization come from software vendors and agencies, and several repeat tactics that Google's documentation says it does not use. This post orders the practices by what Google and Bing document, marks which parts have no platform support, and ends with the two dashboards that show whether a change worked.
Best practices for answer engine optimization that platforms document come down to five things: make every page indexable and snippet-eligible, lead with the answer, keep one topic per URL, keep facts explicit and current, and earn mentions honestly. Google says llms.txt files, content chunking and special schema are not required. Check results in Search Console and Bing Webmaster Tools.
Which practices do platforms actually document?
Each item below says which part of the advice comes from a platform and which part comes from a vendor guide. Two parts of the vendor advice have no platform support in the research: the 40 to 60 word answer paragraph and Speakable schema. Items 2 and 6 flag them.
| Rank | Practice | What the platforms document | Best for |
|---|---|---|---|
| 1 | Make every URL indexable and snippet-eligible | Google: no technical requirements beyond normal Search eligibility. Bing: IndexNow, sitemaps, crawlable links | Every site |
| 2 | Lead with the answer on a URL about one topic | Bing: one topic per URL, key information near the top, complete title and description tags | Guides, articles, product pages |
| 3 | Keep facts explicit and entity names consistent | Bing: direct statements, one clear name per entity | Brand and product pages |
| 4 | Keep content current and notify Bing of changes | Bing: revise outdated facts, notify IndexNow, use 301 redirects for permanent moves | Pages with changing details |
| 5 | Write for readers and skip AI-only tricks | Google: llms.txt, chunking, AI rewrites, special schema and inauthentic mentions are not needed | Every site |
| 6 | Use structured data that matches the visible page | Google: not required, must match visible text. Bing: may support grounding, no guarantee | Pages with FAQs or product detail |
| 7 | Earn links and mentions you would stand behind | Bing and Google: earned, not bought or seeded | Anyone with real coverage |
| 8 | Keep local business data consistent | Google Business Profile and Merchant Center; Bing Places | Businesses with a location |
| 9 | Measure with the two dashboards | Google Search Console generative AI report; Bing AI Performance | Anyone reporting results |
1. Make every URL indexable and eligible for a snippet
Google says a page must be indexed and eligible to show in Google Search with a snippet to appear in AI Overviews or AI Mode, and that there are no additional technical requirements. Bing adds discovery signals: IndexNow, XML sitemaps that list only canonical URLs, and crawlable internal links. Read the AI features guide for the full list.
Check robots.txt and any CDN or hosting rules first, because Google says crawling must be allowed in both. Our product launch checklist covers the indexing steps for a new site.
2. Lead with the answer on a URL about one topic
Bing says each URL should focus on a single topic and place essential information near the top. It also says to avoid long introductions before the main topic, and that missing, duplicate or overly short title tags and meta descriptions may reduce eligibility for grounding results and citations. Check those tags first.
Google's guide to generative AI features asks for headings that give content a clear structure. It sets no length for the opening answer. The 40 to 60 word answer paragraph that HubSpot's guide prescribes has no word count in any platform document reviewed here. Treat it as a house habit, and keep the opening answer as short as the question allows.
3. Keep facts explicit and entity names consistent
Bing's guidelines ask for facts and definitions stated directly, key statements that do not depend on implied content, and one clear name for each person, organization, product or location. Bing defines GEO as 'content eligibility for grounding and reference in AI responses' and says GEO does not guarantee citations, just as SEO does not guarantee rankings. For background on the term, read our GEO explainer.
4. Keep content current and tell Bing when it changes
Bing says to revise outdated information so incorrect facts do not surface, and to notify IndexNow when a URL is added, updated or deleted. It recommends streaming submissions over batch submissions. For permanent moves it asks for 301 redirects, and it limits 302 redirects to changes shorter than two days. Start at indexnow.org. Google's pages reviewed here give no equivalent instruction, so this item rests on Bing alone.
5. Write for readers and skip the AI-only tricks
Google's guide is the clearest list of what not to bother with. It says you do not need llms.txt files, AI text files or Markdown, content broken into chunks, rewrites aimed at AI systems, inauthentic mentions, or special schema.org markup to appear in AI Overviews or AI Mode. NoGood's AEO guide tells readers to explore implementing /llms.txt, which Google does not require. Our llms.txt generator setup guide covers the file spec and what search engines actually read.
Google also says unique, non-commodity content will likely influence a site's presence in generative AI search more than any other suggestion in its guide. Creating separate pages for every fan-out query, when the aim is to manipulate rankings or AI responses, violates Google's scaled content abuse policy.
6. Use structured data that matches the visible text
Google says structured data is not required for generative AI search and that no special schema.org markup is needed. Keep existing markup for rich result eligibility, and make sure it matches the visible text on the page. Bing says structured data 'may support clearer grounding but does not guarantee visibility or grounding traffic', and that inaccurate or misleading markup may be ignored.
None of the Google or Bing pages reviewed for this post mention Speakable, which TapClicks and HubSpot both recommend for voice answers. Treat it as an unverified vendor suggestion.
7. Earn links and mentions you would stand behind
Bing names link buying, link spamming, private networks and artificial social promotion as manipulation, and says links should be earned through high-quality, useful content. Google says that seeking inauthentic mentions across the web is less helpful than it might seem. TapClicks' advice to pursue bylined articles in publications with editorial review fits both rules.
Directory listings fall under the same rule. You are reading the blog of bunny.directory, a launch directory, so weigh its advice with that in mind. The directory lets a founder submit a product for free. A person reviews it, and the launch gets a permanent product page with a link back to the product's site, dofollow for as long as the bunny badge is on that site. The badge is the only thing a listing asks for, so ask whether you would still want a listing that depends on it if it sent no traffic. Keep only listings that describe the product accurately. Our dofollow backlinks guide explains how these links work and what they are worth.
8. Keep local business data consistent
Google says to keep Google Business Profile and Merchant Center information up to date, and says those listings can make products and local businesses visible in AI responses. Bing says to register with Bing Places for Business so that address, hours and contact details stay current and eligible for AI-generated answers to location queries. Start here only if you have a physical location or sell products through Merchant Center.
9. How do you know it worked?
Two dashboards answer that question, and each covers only its own search engine.
Google's generative AI performance report reached all websites worldwide on 31 August 2026. It shows impressions from generative AI features over time, which pages get the most and fewest impressions, and breakdowns by device and country. An impression is a case where a link to your site was shown in a generative AI feature. Your site must be included in Search generative AI features to appear in the report. Google's help page names limited access during rollout and low impression volume as reasons the report may be missing. The newest data is preliminary.
Bing's AI Performance dashboard was announced in public preview on 10 February 2026. It shows total citations, average cited pages per day, citations for each URL, visibility trends over time, and grounding queries. Bing describes grounding queries as a sample of citation activity. Bing also says a fall in clicks does not always mean visibility has dropped, so read citations and impressions alongside clicks.
To test a change, note the date you changed a page, then compare that page's impressions in the Google report and its citations in the Bing dashboard after that date. For checks beyond these two sources, see our AI Search Visibility Checker Guide.
How to choose
Start with items 1, 2 and 9. They rest on platform documentation, cost little to check, and give you a baseline to compare against. Begin with pages that already earn impressions in Search Console, because the dashboard has data to compare a change against.
Then work through items 3 and 4 on pages whose facts change. Keep items 5 and 6 at the level Google describes, and skip the AI-only tricks that vendor guides suggest.
What's new (as of 5 October 2026)
- 31 August 2026: Google's generative AI performance report rolled out to all websites worldwide.
- 10 July 2026: Google's guide to optimizing for generative AI features was last updated. It contains the list of things you do not need to do.
- 27 February 2026: Bing rewrote its Webmaster Guidelines to cover Copilot and grounding, and added GEO as a named concept, as Search Engine Journal reported.
- 10 February 2026: Bing announced AI Performance in public preview.
- 10 December 2025: Google's AI features page was last updated. It still states no technical requirements beyond Search eligibility.
Key takeaways
- Google says AI Overviews and AI Mode have no technical requirements beyond normal Search eligibility.
- Google says llms.txt files, content chunking, AI-specific rewrites and special schema.org markup are not needed for generative AI search.
- Bing's guidelines say GEO does not guarantee citations, just as SEO does not guarantee rankings.
- Google's generative AI performance report, available to all websites worldwide since 31 August 2026, counts impressions.
- Bing's AI Performance dashboard reports total citations, average cited pages and grounding queries.
FAQ
Is llms.txt required to appear in Google AI Overviews?
No. Google's guide says you do not need llms.txt files or other special machine-readable files to appear in Google Search, including its generative AI features. Google can crawl and index many file types, but that does not mean it treats them specially.
Does structured data help a page appear in AI answers?
Google says structured data is not required for generative AI search, but it still supports rich result eligibility and must match the visible text. Bing says structured data may support clearer grounding but does not guarantee visibility or grounding traffic.
Why don't I see the generative AI performance report?
Google's help page gives two reasons: access is still rolling out for some properties, and the site has too few impressions in generative AI features. A site excluded from Search generative AI features will not see the report either, so check that setting first.
Does following these practices guarantee citations?
No. Bing says GEO does not guarantee grounding or citations in AI experiences. The practices above make a page easier to verify and eligible to be used, and the two dashboards show whether that eligibility produced impressions or citations.
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