Why Bing Webmaster Tools Is Now More Important Than Google Search Console

The Index Behind AI Search

ChatGPT's browsing feature, Microsoft Copilot, and several other AI search tools rely on Bing's index per their public documentation (OpenAI / ChatGPT search announcement). This means your Bing indexing status directly determines whether those AI engines can find and cite your content. Google's Gemini app uses Google's index; Perplexity has its own crawler in addition to leveraging third-party indexes.

If you have been ignoring Bing Webmaster Tools (and most people have), you may be invisible to several major AI search engines.

What to Do Right Now

1. Go to bing.com/webmasters and sign up (it is free)
2. Verify your domain using DNS, meta tag, or CNAME
3. Submit your XML sitemap
4. Check your indexing status — how many of your pages does Bing actually know about?
5. Review any crawl errors or blocked pages

Common Issues We See

When we audit SaaS websites for AI visibility, the most common Bing-related issues are:

• robots.txt blocking Bing's crawler (Bingbot) but allowing Googlebot
• Pages indexed by Google but missing from Bing's index
• Sitemap not submitted to Bing (many tools only auto-submit to Google)
• Slow crawl rate because Bing has not been told the site is important

Bing-Specific Optimization Tips

Bing's documentation describes some different ranking signals than Google ('s Search Central documentation. For AI visibility specifically, focus on: clear meta descriptions, valid schema.org markup (schema.org is canonical), and exact-match content. Bing's webmaster guidelines spell these out in detail.

Monitor Both Indexes

The simplest strategy is to monitor both Google Search Console and Bing Webmaster Tools. Your Google traffic likely still dominates, but your AI citation potential is determined in part by Bing. Gartner forecasts a 25% drop in traditional search engine volume by 2026 (Gartner press release, 2024-02-19), so even if traditional search is shrinking, the share of buying-intent queries reaching AI engines (and therefore Bing's index) is growing.

What We Removed From the Earlier Version

An earlier version of this post contained claims we could not source or that referenced retired products. In the spirit of integrity, here is what we removed:

• Misquote: "AI search usage growing 25% year-over-year according to Gartner" — Gartner's actual prediction was a 25% DROP in traditional search engine volume by 2026, not 25% YoY growth in AI search. Different direction, different time horizon. Fixed with link to the actual press release.

If you spot a remaining claim that lacks a source, email don@eurekanav.com — we will provide one or correct the claim within 24 hours.

Related reading

• Schema markup guide for AI visibility
• llms.txt guide: what it is + how to implement
• 10 SaaS landing page elements that get cited by AI
• Answer-first content for AI engines
• How we measure AI visibility (scoring methodology)

Sources & references

Each external claim in this post links to a primary source. Where we cite our own observations, we disclose sample size (currently n=4 published audit teardowns plus broader audit work). For methodology details and our 6-engine scoring approach, see eurekanav.com/methodology.

• Schema.org — canonical structured-data vocabulary — https://schema.org/
• Schema.org SoftwareApplication — https://schema.org/SoftwareApplication
• Schema.org FAQPage — https://schema.org/FAQPage
• Google Rich Results Test — https://search.google.com/test/rich-results
• Bing Webmaster Tools (Microsoft) — https://www.bing.com/webmasters

If you spot a claim in this post that you cannot trace to a source above or to our methodology, email don@eurekanav.com — we will provide one or correct the claim within 24 hours.