Google and Bing are both talking about AI search, but they are not framing it the same way.
Google’s message is reassuring: keep doing good SEO because AI search is still SEO. In its own documentation, Google says SEO best practices remain relevant for AI Overviews and AI Mode, and that there are no additional special requirements to appear in these AI features. Google also says AEO and GEO are still part of optimising for the broader search experience.
Bing’s message is more evolutionary: AI search changes how discovery, retrieval, citations, visibility and conversions work. Microsoft Bing says users are no longer simply scrolling through blue links. They are exploring through conversations, summaries, follow-up questions and AI-generated answers, which means brands need to measure visibility, citations, placement in AI answers and downstream intent, not just clicks.
That is the contradiction.
Google is saying, “This is still SEO.”
Bing is saying, “This changes how SEO works.”
Both are partly right.
The Contradiction Explained
Traditional SEO was built around a familiar flow:
A user types a query.
Google returns ten blue links.
The user clicks a result.
The website earns traffic.
SEO performance is measured through rankings, impressions, clicks and conversions.
AI search breaks that simple journey.
In AI Overviews, AI Mode, Bing Copilot and other generative search experiences, the search engine can interpret the query, expand it into related searches, retrieve multiple sources, summarise the answer, cite selected pages and keep the user inside the AI experience for longer.
Google even confirms that AI Overviews and AI Mode may use query fan-out, where the system issues multiple related searches across subtopics and data sources to build a response.
So, yes, SEO still matters because content still needs to be crawled, indexed, relevant, useful and technically accessible.
But no, AI search is not just old SEO with a new label.
It changes the battlefield.
Google vs Bing: The AI SEO / GEO Comparison Table
| Topic | Google’s Position | Bing’s Position | What It Means for SEO / GEO |
|---|---|---|---|
| Is AI search still SEO? | Yes. Google says optimising for generative AI search is still optimising for the search experience, and therefore still SEO. | Yes, but Bing frames AI search as a major change in how people discover, evaluate and convert. | SEO is not dead, but the job is expanding beyond rankings and traffic. |
| Technical requirements | Google says there are no extra technical requirements for AI Overviews or AI Mode beyond being eligible for Google Search and snippets. | Bing still emphasises discoverability, freshness, sitemaps, IndexNow and keeping content available to search systems. | Technical SEO still matters, especially crawling, indexing, freshness and structured accessibility. |
| Content strategy | Google says create valuable, unique, useful, non-commodity content with a clear point of view. | Bing says content must be clear enough for AI systems to interpret, summarise and cite in multi-source answers. | Content needs to be useful for humans and extractable by AI systems. |
| How answers are built | Google says AI features can use query fan-out to fetch additional relevant results across related subtopics. | Bing explains that AI-powered search builds on retrieval to generate contextual, conversational answers. | Ranking for one keyword is less important than covering the full topic, entities, comparisons and follow-up questions. |
| Measurement | Google reports AI feature traffic inside Search Console’s normal Web search type. | Bing says brands should track impressions, placement in AI answers, citations, query refinements and visibility before the click. | Traditional SEO reporting is incomplete. GEO needs visibility and citation tracking. |
| Clicks and traffic | Google says AI features surface relevant links and can create new opportunities for websites. | Bing says users may click later in the journey, but with stronger intent. | Traffic volume may drop, but lead quality and conversion intent may improve. |
| Role of structured content | Google says structured data should match visible page content, but there is no special schema required for AI features. | Bing says schema-marked product pages, FAQs and comparison tables can help AI systems interpret and summarise content more effectively. | Schema may not be “special AI magic,” but structured content still improves machine understanding. |
| Strategic takeaway | Keep doing strong SEO fundamentals. | Adapt SEO for conversational discovery, citations and AI-influenced conversions. | The winning approach is SEO plus GEO, not SEO versus GEO. |
Why Google’s Message Makes Sense
Google does not want site owners chasing fake AI hacks.
That is why its guidance focuses on fundamentals: useful content, technical accessibility, crawlability, internal links, page experience, visible text, high-quality images and videos, accurate structured data and up-to-date business information.
This is sensible.
If a page cannot be crawled, indexed, understood or trusted, it is unlikely to perform well in traditional search or AI search.
Google is also right that many so-called “GEO hacks” are unnecessary. You do not need a special AI schema type. You do not need to create random machine-readable files just to appear in AI Overviews or AI Mode. Google explicitly says there is no special schema.org structured data required for these features.
So, in one sense, Google is correct.
Good SEO is still the foundation.
Why Bing’s Message Is More Useful for Strategy
Bing is looking beyond eligibility.
The real question is not just, “Can my page be indexed?”
The better question is, “Will AI systems retrieve, trust, summarise and cite my content when users ask complex, conversational questions?”
That is where AI search changes the game.
Bing says people now explore through conversations and build confidence before they reach a website. It also says brands need to track visibility signals such as impressions, AI answer placement and citations because these influence decisions before a visit happens.
This is a more practical view for SEO teams.
In traditional SEO, you could win by ranking a page for a target keyword.
In AI search, you may need to win across:
- the main query
- follow-up questions
- comparison prompts
- product or service attributes
- entity associations
- reviews and third-party mentions
- citations inside AI-generated answers
- pre-click brand visibility
- high-intent traffic that arrives later in the journey
That is not “just SEO” in the old sense.
That is SEO evolving into GEO.
The Real Problem: Google Is Collapsing GEO Back Into SEO
Google’s framing is neat, but it risks oversimplifying the shift.
Calling AI optimisation “still SEO” is technically true, but it can make businesses think nothing has changed.
That is dangerous.
Because something has changed.
Search is no longer only about ranking pages. It is increasingly about being selected as a source inside an AI-generated answer.
That means your content needs to be:
- crawlable
- indexable
- accurate
- original
- clearly structured
- entity-rich
- citation-worthy
- easy to summarise
- useful for follow-up questions
- supported by trust signals
- reinforced across the wider web
The best AI search strategy is not to abandon SEO.
It is to expand SEO.
What Businesses Should Do Now
The practical answer is simple: keep doing SEO, but measure and optimise for AI visibility as well.
Your strategy should include:
- Foundational SEO
Make sure your content can be crawled, indexed, internally linked and understood. - Helpful, original content
Publish content with first-hand expertise, unique insights, examples, comparisons and clear answers. - Structured answer formats
Use FAQs, tables, definitions, summaries, product details, service comparisons and step-by-step explanations. - Topical authority
Build content clusters that answer the main query and the follow-up questions AI systems are likely to generate. - Entity optimisation
Make your brand, services, authors, locations and expertise easy for search engines and AI systems to connect. - Citation tracking
Monitor whether your brand or website is being mentioned, cited or excluded in AI Overviews, AI Mode, Bing Copilot, ChatGPT, Perplexity and other answer engines. - New reporting metrics
Keep tracking rankings and clicks, but add AI visibility, citations, brand mentions, sentiment, referral quality and assisted conversions.
Final Takeaway
The contradiction is not really that Google and Bing disagree.
The contradiction is that Google is describing AI search from the perspective of eligibility, while Bing is describing it from the perspective of behaviour and measurement.
Google is saying:
You do not need to throw away SEO.
Bing is saying:
You need to understand how AI search changes discovery, citations and conversions.
The smart position is both.
AI SEO is still SEO at the foundation.
But GEO is what happens when SEO has to optimise for AI-generated answers, conversational journeys, pre-click visibility and citation-based discovery.
So the real takeaway is this:
Do not stop doing SEO. But do not pretend AI search has not changed SEO.
