GEO Checklist: A Practical Audit for AI Search Visibility

A GEO checklist is a repeatable audit of whether AI search systems can find, use and cite your pages. It covers five areas: crawler access and indexing, whether each page answers a real customer question, the evidence behind your claims, consistent brand facts across the web, and tracking mentions and citations over time. Start with one product page and one supporting article.

Every check below comes with a way to verify it. The crawler rules and Google guidance come from each vendor's own documentation, re-checked in October 2026, and the full list is available as a spreadsheet.

If you only do 5 things

1. Make sure your key pages can be crawled and indexed. Check Googlebot with URL Inspection in Search Console, and allow OAI-SearchBot, Claude-SearchBot and PerplexityBot in robots.txt and in your firewall.
2. Answer the customer's question in the first two sentences under each heading. A crawlable page that buries the answer gives an AI system little to use.
3. Source every number and keep product facts identical everywhere. AI answers repeat what they find, so your pricing and features should match on your site, review sites and profiles.
4. Add something competing pages don't have. Original data, a worked example or a first-hand test gives an answer engine a reason to pick your page, and Google's guide to generative AI features calls this "non-commodity content".
5. Track mentions and citations separately, on a fixed set of prompts. Run each prompt at least 3 times on different days before you draw conclusions.

Download the checklist as a spreadsheet (CSV). It lists every check in this article with how to verify it and its priority, so you can add "pass / fail" and "owner" columns and use it as your audit sheet.

What does a GEO audit check?

A GEO audit checks whether AI systems can access your pages, whether those pages deserve to be used in an answer, and whether you're actually being mentioned and cited. Generative Engine Optimization (GEO) is the process of improving the chances that your content is discovered, retrieved, mentioned, or cited when an AI system answers a relevant question.

A good GEO audit does not ask only, "Can an AI crawler access this page?"

It asks five questions:

1. Can search and AI systems access the page?
2. Is the page relevant to the questions your customers ask?
3. Does it contain information worth using in an answer?
4. Can important claims be verified?
5. Are you actually being mentioned and cited?

This GEO checklist covers all five.

Start with one important product page and one supporting article. Run the audit against real customer questions, record what is wrong, and assign specific fixes.

Do not treat GEO as a separate replacement for SEO. Google says its generative AI features are rooted in its core Search ranking and quality systems, and that optimizing for them is still SEO. A page needs to be indexed and eligible to show with a snippet, and your site must not be excluded in Search Console's new Search generative AI setting, which is on by default.

The GEO checklist: quick version

If you only have 10 minutes, run these 16 checks on one important page. Each is covered in more detail in the numbered sections below.

Copy the table into a spreadsheet, or download the full checklist as a CSV, and add a "pass / fail" and "owner" column to turn it into your audit sheet. To run the audit with an AI assistant, Okara's GEO audit skill is a free instruction file you can download with an Okara account. To track your prompts in ChatGPT, Google AI Overviews and Google AI Mode over time, Okara's GEO Agent records mentions, citations and which competitors appear instead.

Passing these checks doesn't guarantee an AI system will cite you. Retrieval and generated answers change by query, platform, timing and competing sources. The goal is to remove obvious reasons your page would be ignored and give it better reasons to be used.

1. Choose the questions and pages that matter

Do not start a GEO audit by scanning your entire website.

Start with the questions that could lead to a customer.

• List the informational questions your customers ask.
• List the comparison and buying questions they ask.
• Identify the best existing page for each question.
• Check whether multiple pages are competing to answer the same question.
• Choose a business outcome to track alongside AI visibility.

For an agency project-management product, the questions might include:

• "How do small agencies manage client approvals?"
• "What is the best project-management software for agencies?"
• "Which project-management tools let clients approve work?"
• "How do I stop client feedback from getting lost in email?"

These questions do not necessarily need four different articles.

One strong guide may answer several closely related questions. A product page can explain the product capability while a supporting guide explains the broader process.

Google says AI Overviews and AI Mode may use query fan-out, issuing multiple related searches across subtopics to build one response. That is another reason to cover a topic properly instead of creating dozens of near-identical pages for every keyword variation.

If you run a software company, our SaaS SEO playbook covers which buying searches to start with and how to tell which ones your site can win.

What to record

For each important query, record:

This becomes the rest of your GEO audit.

2. Check crawl access and indexing

Before improving your writing, make sure systems can actually access it.

• The intended URL returns the correct content.
• The page is not accidentally blocked in robots.txt.
• The page does not contain an unintended noindex.
• Its canonical points to the intended URL.
• Internal links point to the working canonical URL.
• The page appears in your XML sitemap where appropriate.
• Your CDN or WAF is not blocking legitimate crawlers.
• Important text appears correctly after rendering.
• Old or duplicate versions are redirected or canonicalized correctly.
• Updated pages are being rediscovered by search engines.
• Search Console's Search generative AI setting includes your site, on the domain property and any parent property.
• Remove stray noindex; point the canonical at itself, and review the page's meta tags with the Meta Tag Checker

Check the crawlers that matter

Different platforms use different crawlers, and most AI companies now separate the crawler that powers search from the one that collects training data. Allow the search crawler for every platform where you want to be cited, then decide on training crawlers separately.

OpenAI's crawler documentation says sites that opt out of OAI-SearchBot won't be shown in ChatGPT search answers, though they can still appear as navigational links. OpenAI recommends allowing OAI-SearchBot and its published IP ranges, and says search takes about 24 hours to reflect a robots.txt change.

Perplexity recommends allowing PerplexityBot and its published IP ranges for sites that want to appear in its search results, and says PerplexityBot isn't used to crawl content for AI foundation models.

Anthropic lists three bots: ClaudeBot for model training, Claude-SearchBot for search, and Claude-User for pages a user asks Claude to fetch. It says blocking Claude-SearchBot may reduce your site's visibility in its search results.

For Google, Googlebot is the control. Google says robots.txt rules for Googlebot are how site owners manage crawling for Search, which includes AI features. Google-Extended limits AI training and grounding in some of Google's other systems; to keep your site out of AI Overviews and AI Mode specifically, Google points to the Search Console setting below or snippet controls.

Microsoft says Bing and Copilot search experiences rely on the same crawling, indexing and ranking foundation as traditional Bing search. For Copilot, check Bingbot access and Bing indexing.

The user-triggered fetchers (ChatGPT-User, Claude-User and Perplexity-User) visit a page when someone asks a question about it. OpenAI and Perplexity both say robots.txt rules may not apply to them, because a person requested the fetch.

This distinction matters.

A crawler used for AI search is not necessarily the same crawler used for model training. For example, blocking a training crawler does not automatically mean you have to block the crawler responsible for search visibility.

Make those decisions separately. Our guide to robots.txt for AI crawlers goes through each user agent in more detail.

Check Google's Search generative AI setting

Since August 31, 2026, Search Console has had a Search generative AI control under Settings. It decides whether your site's links and content can appear in AI Overviews, AI Mode and generative AI features in Google Discover.

"Include" is the default, and child properties inherit their parent's setting unless someone changes it. Check the domain property as well as any URL-prefix properties for your blog or docs.

Google says the setting isn't used as a ranking signal for the rest of Search and doesn't affect AI training.

Do not forget your WAF

A correct robots.txt file does not help if Cloudflare, your CDN, or another security layer returns a 403 to the crawler.

Check server logs or run a crawler-access test if a site looks technically correct but never gets discovered. OpenAI and Perplexity publish IP ranges for their crawlers, and Perplexity's documentation includes example allow rules for Cloudflare and AWS WAF.

Check Google separately

For Google, use Search Console's URL Inspection tool.

Check:

• the indexed URL
• indexing status
• canonical selection
• crawl information
• rendered content
• the live URL where appropriate

A page loading successfully in your browser does not prove Google has indexed it.

A successful live test does not guarantee indexing either. Google says the live test only confirms that Google can access the page, and no test can guarantee it will be indexed.

Keep URLs fresh

For Bing and other engines that support it, consider IndexNow when important pages are added, updated, or removed.

It does not replace good internal linking or a sitemap. Bing describes IndexNow as a way to notify participating search engines when content changes, so AI answers use the current version of a page.

3. Check whether the page actually answers the question

Being crawlable is only the beginning.

The page needs to deserve retrieval for the query.

• The opening addresses the reader's main question.
• The answer appears before a long company introduction.
• Important conditions and limitations are included.
• The page answers natural follow-up questions.
• Examples are specific enough to be useful.
• Comparisons include the factors a buyer actually cares about.
• Recommendations explain why something is recommended.
• The page does not wander into unrelated topics just to target more keywords.

Consider the question:

Can an AI tool run our marketing?

A weak answer would be:

AI is transforming marketing and helping modern businesses scale faster.

It says almost nothing.

A more useful answer is:

An AI marketing tool can often research topics, prepare articles, draft social posts, and analyze marketing data. Whether it can actually run a workflow depends on its integrations, publishing permissions, approval steps, and access to performance data. Check those capabilities before treating it as an autonomous marketing system.

The second answer gives the reader something they can use.

It also contains clear statements that an answer engine could reference without needing the rest of the article to understand them.

Answer the next question too

If someone asks:

What is the best CRM for a five-person sales team?

They may immediately care about:

• price
• setup time
• integrations
• automation
• reporting
• seat limits
• migration
• customer support

You do not need a separate page for every variation.

Build the page around the decision the reader is trying to make.

4. Make important claims easy to verify

AI search creates another reason to be strict about evidence.

• Statistics link back to the original source where possible.
• The source supports the exact number you use.
• The year or date is included when it matters.
• Survey size or methodology is included when it changes how a number should be interpreted.
• Quotes identify the actual speaker and original source.
• Product claims match current documentation.
• Pricing matches the current pricing page.
• Comparisons distinguish documented facts from your own testing.
• First-hand tests explain what you actually tested.
• Unsupported superlatives are removed.

For example:

Weak:

Most marketers now use AI.

Better:

In [named research], X% of the surveyed group reported using AI for [specific use case] in [year].

The second claim gives the reader enough information to judge whether the statistic applies to them.

Original evidence is even better

Whenever possible, add things that only you can provide:

• internal benchmarks
• anonymized product data
• experiments
• screenshots
• original surveys
• customer examples
• before-and-after results
• expert observations
• templates
• calculators
• datasets
• detailed workflows

Google's guide to generative AI features puts particular emphasis on unique, non-commodity content rather than pages that simply restate information already available elsewhere.

That is useful advice beyond Google.

If ten articles repeat the same five facts, there is little reason for another system or reader to prefer the eleventh.

5. Make the page worth citing

Being correct is different from being worth citing.

Ask:

What information on this page would someone else want to reference?

If the answer is "nothing that is not already on 100 other websites," improve the page.

• Include an original definition when it adds clarity.
• Publish proprietary data when you have it.
• Include tables that organize difficult information.
• Show methodology for experiments and benchmarks.
• Use primary sources for factual claims.
• Include expert or first-hand observations where relevant.
• Keep facts specific enough to quote without changing their meaning.
• Update outdated statistics and examples.

The original academic paper that introduced the term Generative Engine Optimization tested several content changes. Aggarwal et al. found that adding citations, quotations from relevant sources and statistics raised a source's visibility in generated answers by over 40% on various queries in their benchmark of 10,000 queries (published at KDD 2024).

But be careful with the conclusion.

That research tested content under a particular experimental setup. It does not prove that adding three statistics to a page will make ChatGPT or Google discover it organically.

Relevance, retrieval, authority, competition, and the platform itself still matter.

Treat evidence as a way to make a good page more useful and trustworthy, not as an AI-ranking hack.

6. Keep your entities and product facts consistent

AI answers often combine information from more than your own website.

That means a good GEO audit should look outside your domain too.

• Your company name is written consistently.
• Your product category is clear.
• Your current positioning is accurate.
• Founder and company information is correct.
• Pricing information is not contradictory.
• Important third-party profiles are current.
• Major review or comparison pages describe the current product.
• Old names or previous positioning are clearly connected to the current brand where necessary.
• Important product capabilities can be verified from your own site.

Imagine that you recently changed your product from an analytics tool to an AI marketing platform.

Your homepage may explain the new product perfectly.

But if the pages commonly cited by AI systems still describe the old analytics product, rewriting your homepage alone may not solve the problem.

Check what sources the answer actually uses.

Then fix the underlying information where possible.

Do not manufacture mentions

Third-party coverage can matter because AI systems often use sources beyond the brand's own website.

That does not mean buying spammy mentions or creating fake discussions.

Google's guide lists seeking inauthentic "mentions" among the GEO tactics you can ignore, because its core ranking systems focus on high-quality content while other systems block spam.

A better approach is to give publishers, reviewers, customers, and industry sites something genuinely useful or new to talk about.

7. Fix topic overlap and duplicate pages

More pages do not automatically create more visibility.

Sometimes they create confusion.

• Each important page has a clear primary purpose.
• Two pages are not targeting effectively the same question without a reason.
• Old pages do not contradict newer pages.
• Duplicate versions use appropriate canonicals or redirects.
• Supporting pages link naturally to the main page.
• The main page links back to useful supporting material.
• Consolidation preserves genuinely useful content.

Suppose you have:

• /best-ai-marketing-tools
• /top-ai-marketing-tools
• /ai-marketing-tools-list
• /best-marketing-ai-software

If all four pages answer essentially the same question, publishing another variation is unlikely to solve the problem.

Decide which page should be the best answer.

Then improve it.

Do not delete a page only because it receives little traffic. Check its links, rankings, intent, and useful content before consolidating anything.

8. Use structure to help readers, not to game AI

Clear structure helps humans scan a page and makes important information easier to locate.

• Use one descriptive page title.
• Organize sections with useful H2 and H3 headings.
• Put direct answers near the question they answer.
• Use lists when the information is naturally a list.
• Use tables when comparison is easier in rows and columns.
• Keep paragraphs focused.
• Use descriptive internal-link anchor text.
• Add useful images, diagrams, screenshots, or video where they improve the explanation.
• Keep structured data consistent with visible page content.

Do not take this too far.

Google's guide explicitly says you do not need to:

• break every article into tiny "AI-friendly" chunks
• hit a special word count
• create special AI markup
• rewrite every sentence specifically for LLMs
• create a page for every possible long-tail variation

There is also no special schema required to appear in Google's AI Overviews or AI Mode.

Use structured data where it accurately describes the visible page and supports normal search features. Our guide to schema markup for AI search covers which types are worth adding.

Do not add it because somebody promised it would "fix GEO."

9. Check llms.txt without treating it as a ranking factor

llms.txt is frequently included in GEO checklists.

It should not be treated as a universal requirement.

Google says Google Search ignores llms.txt. Creating one neither helps nor hurts your visibility in Google Search or its generative AI features.

Other tools may choose to read similar files, and some companies publish them to make documentation easier for machines to navigate.

That is different from having evidence that llms.txt improves rankings or citations across AI search engines. Our llms.txt guide covers what the file is and when it's worth making one.

A reasonable audit question is:

• Do we have a specific use for llms.txt, rather than adding it because a checklist told us to?

If not, work on higher-impact problems first.

10. Check authorship, dates, and trust signals

For topics where expertise matters, make it easy for readers to understand where the information came from.

• The article has a real author where appropriate.
• The author page explains relevant experience.
• Reviewers are identified when expert review matters.
• Published and updated dates are accurate.
• Significant updates actually change the article.
• Sources are visible and easy to inspect.
• Company and editorial information is easy to find.

Do not add fake expert bios or update the date every week without changing the article.

Trust signals should communicate something true.

11. Audit what AI systems currently say about you

Do not optimize in the dark.

For each high-value question, check the platforms that matter to your audience.

• Does the answer mention your brand?
• Does it cite your website?
• Which page does it cite?
• Which competitors appear?
• Which third-party sources appear?
• Is your product described accurately?
• Are old facts repeated?
• What reasons does the answer give for its recommendations?

Pay attention to the difference between:

Mention

"Okara is an AI marketing platform."

and:

Citation

The generated answer uses and links to a page on okara.ai as supporting evidence.

These are different outcomes and should be measured separately.

12. Measure GEO consistently

AI answers are not static rankings.

The same prompt can produce different answers across platforms, model versions, locations, dates, and repeated runs.

Do not treat one screenshot as a metric.

Record:

• Date
• Platform
• Model or search mode when visible
• Exact prompt
• Prompt variation
• Brand mentioned?
• Website cited?
• Exact URL cited
• Competitors mentioned
• Other sources cited
• Referral traffic where available
• Conversion or business outcome

Use a table like this:

Track mention rate and citation rate separately

If your company appeared in 12 of 30 recorded answers:

Mention rate = 12 / 30 = 40%

That means 40% of your recorded sample mentioned the brand.

It does not mean you have 40% visibility across the whole platform.

Likewise:

Citation rate = responses citing your site / responses tested

Define the sample whenever you report a GEO metric.

Use first-party reporting where available

Google's Generative AI performance report in Search Console shows how often links to your site appeared in AI Overviews and AI Mode, by page, country, device and date. Google rolled it out to all sites on August 31, 2026. As of October 2026 it reports impressions, not clicks, so pair it with the main Performance report and your analytics.

Bing Webmaster Tools has an AI Performance report, launched in public preview in February 2026. It shows total citations, cited pages and grounding queries across Microsoft Copilot, AI summaries in Bing and select partner integrations.

These are more useful than pretending a third-party "AI ranking score" is an official ranking metric. Google's guide warns that no third-party tool has access to its internal ranking or AI systems.

For platforms without equivalent first-party reporting, use repeated prompt testing alongside analytics and referral data. When a spreadsheet stops scaling, our comparison of GEO tools covers AI visibility trackers by what they track and what they cost.

13. Turn the audit into a prioritized work queue

A GEO audit is useful only if it changes what you do next.

Prioritize findings in the same order as the checklist: access, relevance, evidence, authority, then measurement. The downloadable checklist tags every item with one of these priorities.

Priority 1: Access and accuracy

Fix problems that can completely prevent visibility or create wrong answers.

Examples:

• blocked crawlers
• noindex
• broken URLs
• wrong canonicals
• inaccessible rendered content
• outdated product information
• incorrect pricing
• contradictory company information

Priority 2: Relevance and usefulness

Fix pages that are eligible but do not properly answer the question.

Examples:

• weak opening answer
• missing comparison factors
• shallow explanations
• unanswered follow-up questions
• overlapping pages

Priority 3: Evidence and originality

Give other people and systems better reasons to use your page.

Examples:

• original data
• benchmarks
• expert experience
• primary sources
• detailed examples
• useful tables
• methodology
• screenshots

Priority 4: Authority and external accuracy

Investigate which external sources influence answers.

Examples:

• outdated review pages
• old company descriptions
• missing coverage of original research
• inaccurate third-party product information

Priority 5: Measurement

Create a repeatable way to see whether anything improved.

Use a work queue like this:

Record the date of every important change.

Otherwise, when visibility moves later, you will have little context for what may have contributed.

GEO mistakes to avoid

A good GEO checklist should also tell you what not to spend time on.

1. Publishing dozens of nearly identical pages

You do not need a new article for every wording of the same question.

Build the best page for the underlying intent.

2. Adding statistics just because "LLMs like statistics"

Use numbers when they make the answer more useful.

A weak or irrelevant statistic does not become valuable because it has a percentage sign.

3. Adding fake quotations or expertise

Use real sources.

If the experience is yours, explain what you actually did.

4. Treating llms.txt as mandatory

It is not a universal AI-search ranking requirement.

5. Adding every possible schema type

Structured data should describe your real visible content.

More markup is not automatically better.

6. Chasing an arbitrary article length

There is no ideal GEO word count.

Write enough to solve the problem properly.

7. Measuring one prompt once

Generated answers vary.

Repeat important tests.

8. Tracking mentions but ignoring citations

A brand mention and a website citation are different signals.

Measure both.

9. Optimizing only your own website

If AI answers repeatedly rely on third-party sources, understand what those sources say about you too.

10. Treating GEO as a replacement for SEO

For Google in particular, strong technical SEO, crawlability, indexing, relevance, quality, and useful content remain the foundation. Our SaaS SEO guide shows how the two fit together for a small software team.

Where does Okara fit?

Okara is an AI CMO: marketing agents that analyze your website, build a strategy from your data, then draft and publish the work for your approval. Its GEO Agent covers several parts of this checklist:

Everything waits for your approval before it ships. The limit is breadth: 15 prompts across 3 engines is less tracking volume than dedicated trackers offer, and it isn't an enterprise tracker. For other AI platforms, keep running the manual prompt checks from section 12, or see our comparison of GEO tools for trackers with more volume.

As of October 2026, the GEO Agent is included in AI CMO Lite at $129/month billed monthly, or $1,290/year billed annually, along with the SEO Agent and Coding Agent. AI CMO Pro is $249/month, or $2,490/year, and adds the Writer Agent and other channel agents. The Free AI CMO plan ($0) covers website analysis and a 30-day marketing strategy only. See pricing for everything in each plan.

Lovie, a financial-infrastructure startup, used Okara's SEO, Writer, GEO, X and LinkedIn agents. Running SEO and content campaigns for its Formation product, it saw a 56% improvement in average search position, a 73% increase in click-through rate and a 20% increase in US traffic. Those are search results, not AI citation figures.

FAQ

What is a GEO checklist?

A GEO checklist is a repeatable set of checks used to improve and measure a website's visibility in generative search and AI answers. It typically covers crawl access, indexing, query relevance, content quality, evidence, brand accuracy, citations, external mentions, and measurement.

What is the difference between GEO and SEO?

SEO generally focuses on improving visibility in search engines. GEO focuses more specifically on whether information is discovered, retrieved, mentioned, or cited inside generated answers. The two overlap heavily: Google says optimizing for its generative AI features is still SEO. Our guide to GEO vs SEO vs AEO covers what's actually different.

Do I need llms.txt for GEO?

No universal rule requires it. Google says llms.txt neither helps nor hurts visibility in Google Search, because Google Search ignores the file. Use it only when you have a specific reason, such as another tool you know reads it.

Do I need special schema for AI search?

No. Google says there is no special schema.org markup required for AI Overviews or AI Mode. Continue using accurate structured data where it makes sense for standard search features and to describe your content correctly.

How long should GEO content be?

There is no ideal word count, and Google says the same about its AI features. A 600-word page can be better than a 3,000-word page if it answers the question completely, while a complex topic may genuinely need much more detail. Use the reader's problem to decide the length.

Should I optimize content specifically for ChatGPT?

Make sure the pages you want discovered are accessible to OAI-SearchBot, then improve the relevance, accuracy, evidence, and usefulness of those pages. Do not assume there is a guaranteed writing formula that forces ChatGPT to cite you. Our guide to getting recommended by ChatGPT goes further.

Do backlinks matter for GEO?

Links remain important to normal web discovery and search, and strong third-party sources may influence which information AI systems retrieve. But there is no simple rule such as "X backlinks = Y AI citations." Treat authority as one part of the system, not a switch.

How quickly will GEO changes work?

There is no fixed timetable. A change may need to be crawled, indexed, retrieved for the right query, selected as useful evidence, and then used in a generated answer, and those steps vary by platform. OpenAI and Perplexity say robots.txt changes take up to about 24 hours to reach their search systems, but that only covers access, not citations.

Can a GEO audit be automated?

Much of the collection can be automated: crawler checks, status codes, indexing and canonical checks, duplicate detection, sitemap checks, page structure, prompt monitoring, and citation and brand mention tracking. Human judgment is still needed for questions such as whether a claim is true, whether a source is credible, and whether the page adds anything new. Use automation to find problems faster, not to replace editorial judgment.

Sources

• Google Search Central, "Optimizing your website for generative AI features on Google Search" (checked October 1, 2026): https://developers.google.com/search/docs/fundamentals/ai-optimization-guide
• Google Search Central, "AI features and your website" (checked October 1, 2026): https://developers.google.com/search/docs/appearance/ai-features
• Search Console Help, "Search generative AI control" (rolled out to all sites August 31, 2026): https://support.google.com/webmasters/answer/16908024
• Search Console Help, "Generative AI performance report (Search)": https://support.google.com/webmasters/answer/16984139
• Google Search Central Blog, "Introducing Search Generative AI performance reports in Search Console" (June 3, 2026): https://developers.google.com/search/blog/2026/06/gen-ai-performance-reports
• Search Console Help, "URL Inspection tool": https://support.google.com/webmasters/answer/9012289
• OpenAI, crawler and user agent documentation (checked October 1, 2026): https://platform.openai.com/docs/bots
• Perplexity, "Perplexity Crawlers" (checked October 1, 2026): https://docs.perplexity.ai/docs/resources/perplexity-crawlers
• Anthropic, "Does Anthropic crawl data from the web, and how can site owners block the crawler?" (April 7, 2026): https://support.claude.com/en/articles/8896518-does-anthropic-crawl-data-from-the-web-and-how-can-site-owners-block-the-crawler
• Microsoft Bing, "Introducing AI Performance in Bing Webmaster Tools Public Preview" (February 10, 2026): https://blogs.bing.com/webmaster/February-2026/Introducing-AI-Performance-in-Bing-Webmaster-Tools-Public-Preview
• Microsoft Bing, "Bing Webmaster Guidelines": https://www.bing.com/webmasters/help/webmaster-guidelines-30fba23a
• Aggarwal et al., "GEO: Generative Engine Optimization", KDD 2024: https://arxiv.org/abs/2311.09735