What is Microsoft SEO now?
For a US Microsoft Partner, Microsoft SEO means tuning your website, content, Azure Marketplace listing and structured data so buyers in Chicago, Dallas or wherever your book of business sits find you - and get you quoted back to them - through Bing, Copilot, ChatGPT and the rest of the AI search stack, not just a Google results page.
That broader definition matters because the buyer's habit has changed. Fewer people type a phrase and scroll ten links; they ask Copilot or ChatGPT a question and take the summarized answer at face value. Microsoft owns a big piece of that shift because Copilot ships inside Windows, Edge, Microsoft 365 and Bing itself, all pulling from the Bing index. That makes Bing SEO one of the fastest ways for a US partner to land inside the answers a buyer is already reading.
Why Bing deserves more attention than it gets
Bing's market share number undersells it. The same index feeds Copilot's answers, Copilot in Edge, ChatGPT's web search, DuckDuckGo, Yahoo and a growing list of AI assistants. Every one of those is a place a US buyer might run into - and cite - your business.
Bing is also a lot less contested than Google right now. Fewer partners are actively optimizing for it, the link graph is thinner, and Microsoft publishes straightforward technical guidance through Bing Webmaster Tools and IndexNow. A page that's genuinely well built can move up fast, and once it's indexed and structured properly, it's eligible to get pulled into a Copilot answer.
If you're selling Copilot readiness, Dynamics 365, Azure migration or an industry-specific build to US health systems, manufacturers, or state and local government buyers, that audience is already living inside the Microsoft stack. Showing up there beats fighting the entire US B2B agency market for the same handful of Google keywords.
Where AI search engines fit in
AI search doesn't rank a list of pages - it reads a handful of sources, pulls a sentence or two out of each, and cites them. Copilot, ChatGPT search, Perplexity and Google's AI Overviews all work this way. Landing in that small citation set is the new version of ranking #1.
Two terms describe the discipline. AEO (answer engine optimization) is getting quoted inside an AI answer instead of just linked from a results list. GEO (generative engine optimization) applies the same thinking to generative assistants - Copilot, ChatGPT, Gemini, Perplexity. Neither one throws out standard SEO; they build on it. Crawlable pages, real structured data, tight first-paragraph answers and claims you can back up still do the heavy lifting.
The practical change for a US partner's content team: put the number, the named customer or the actual answer in the first paragraph. Bury it under three paragraphs of brand scene-setting and the AI models skip right past it.
How to optimize for Bing and AI search as a US Partner
- 1
Get Bing Webmaster Tools set up right
Verify the domain, push an XML sitemap, keep an eye on crawl and index coverage, and check the query report - it tells you what Bing (and therefore Copilot) already thinks you're about. Most US marketing teams live in Google Search Console and never open this one.
- 2
Switch on IndexNow
IndexNow tells Bing, Yandex and other participating engines the second a page goes live or gets updated, so new content lands in the index in minutes instead of days - meaning less time before it's eligible for a Copilot citation.
- 3
Lead with an AI-ready definition
Start every page with one sentence, under 40 words, that answers the question the page is about. That's the line AI engines lift word for word; anything buried further down tends to get ignored no matter how strong the rest of the page is.
- 4
Build the page to be quoted, not just ranked
Question-style H2s, a direct answer right underneath each one, a real FAQ block, and schema markup - Article, FAQPage, Organization, Service, BreadcrumbList. That structure is what separates a page Copilot reads from one it skips.
- 5
Back claims with named US customers and real numbers
AI engines quote pages that make a specific, checkable claim. A named health system, a dollar pipeline figure, a dated case study - that's citable. Generic case-study copy with no names attached is not.
- 6
Build entity signals across the ecosystem
A consistent Organization schema, an active LinkedIn page, a claimed Solutions Partner listing, a live Azure Marketplace or AppSource entry, plus a handful of relevant backlinks from Microsoft-adjacent sites, tell Bing and the AI models you're a real operating US Microsoft Partner, not a generic marketing shop.
What good Bing optimization looks like day to day
Bing's algorithm shares a lot of DNA with Google's but leans differently in a few places: it rewards exact-match phrasing and clean page structure more heavily, treats domain age kindly, and reads schema markup literally rather than as a loose signal - so getting Organization, Service, FAQPage and BreadcrumbList schema right pays off faster there than on Google.
The upshot: a partner page stuck on page two of Google can land on page one of Bing with the same content, once it's verified in Bing Webmaster Tools, pushed live through IndexNow, and structured with question-style H2s and correct schema. Page one on Bing is the door into Copilot's answer pool.
Further reading
Bing Webmaster Tools' own documentation covers verification, sitemaps, crawl settings and IndexNow in detail. The Microsoft Bing Blogs publish regularly on how Copilot builds and sources its answers, and Search Engine Journal's AEO and GEO coverage is a solid outside view of how these engines pick what to cite.
Put those three together and you've got both the mechanics of ranking on Bing and the mechanics of getting cited by the AI layer sitting on top of it - which is what most US partner marketing teams are missing right now.