Search Engine Algorithms - SEO News

AI Search Is Rewriting the Rules: What Our Agency Is Doing About Rankings, Citations, and Crawler Access Right Now

This week delivered a cluster of developments that collectively confirm what we’ve been telling our clients for months: traditional keyword-driven SEO is no longer sufficient on its own. Google’s own data shows users are searching differently in AI Mode, Microsoft has drawn a clear line between rankings and AI citations, and OpenAI is preparing to monetise ChatGPT with display and video ads. Here’s what matters and what we’re doing about it.

Key Takeaways

  • Google’s AI Mode data confirms users are typing longer, conversational queries — most 2025 keyword strategies are already behind.
  • Microsoft’s latest Bing AI reporting proves that traditional rankings and AI citations are now two separate visibility metrics.
  • Proprietary, well-structured data is the single most defensible asset for earning AI citations.
  • Blocking AI crawlers without measuring their value first risks making your site invisible in LLM-generated answers.
  • OpenAI’s hiring activity signals image and video ads are coming to ChatGPT, opening a new paid channel.

Google’s AI Mode Users Have Already Abandoned Keywords

Google has released hard numbers showing that users in AI Mode are submitting longer, more natural-language queries. These aren’t the two- or three-word keyword strings that most content strategies still target. They’re full questions, multi-part requests, and contextual follow-ups. We’ve been auditing client content libraries against this shift, a process informed directly by Google’s own AI search behavioural data reported by Search Engine Journal.

The practical takeaway: content built around single-intent keyword clusters won’t surface in conversational AI results. We’re restructuring pages to answer layered queries — addressing the “what”, “why”, and “how” within a single, well-organised piece rather than spreading thin across dozens of shallow posts.

Rankings and AI Citations Are Now Two Different Games

Microsoft’s latest AI reporting inside Bing Webmaster Tools has made something explicit. A page can rank well in traditional results and still never appear as a cited source in an AI-generated answer. The reverse is also true. As Search Engine Journal’s coverage of Microsoft’s AI search data makes clear, these are fundamentally different visibility outcomes that require separate measurement and strategy.

For our clients, this means we’re now tracking citation appearances alongside rank positions. Visibility reporting that only covers blue links is incomplete. We’re building dashboards that capture both.

Structure Your Proprietary Data or Lose the Citation

Original research, survey results, pricing benchmarks, case study metrics — these are gold for AI citation. But only if they’re structured for extraction. AI models favour clearly labelled data points, tables, and concise statistical claims over buried insights in long paragraphs. We’re applying this principle across every client site that holds unique data, following the framework outlined in Search Engine Land’s analysis of proprietary data as a defensible AI citation asset.

If you have original data and it isn’t marked up with schema, presented in scannable formats, and clearly attributed, you’re leaving citations on the table.

Don’t Block AI Crawlers Before You Measure Their Value

AI bots consume server resources. They scrape content. The instinct to block them is understandable. But doing so without data is reckless. As Search Engine Journal’s Ask an SEO column explains, blocking these crawlers can make your site invisible in LLM-generated answers entirely.

Our approach: measure first, then decide. We log AI bot activity, assess the referral traffic from AI platforms, and only then advise on selective blocking or throttling via robots.txt and server-level controls.

ChatGPT Is About to Become an Advertising Platform

OpenAI job listings now point directly to image, video, and native ad formats inside ChatGPT. This isn’t speculation — it’s hiring activity with clear role descriptions, as documented by Search Engine Journal’s report on OpenAI’s advertising plans. For brands already running paid media across Google and Meta, a ChatGPT ad channel could offer early-mover advantage with lower competition and novel conversational formats.

We’re watching this closely and preparing test budgets for clients who want first access when the platform opens.

The common thread across all five developments is straightforward: AI is not a future concern. It is actively reshaping how content is discovered, cited, crawled, and monetised. Agencies and businesses that treat AI Search visibility as a bolt-on to existing SEO will fall behind those who treat it as a core discipline.

Frequently Asked Questions

What is the difference between a search ranking and an AI citation?

A search ranking is your page’s position in traditional blue-link results. An AI citation is when an AI-generated answer references and links to your content as a source — they’re measured separately and require different optimisation strategies.

How do web designers structure content for AI search visibility?

Use clearly labelled headings, concise data points, schema markup, and tables that AI models can easily extract. Avoid burying key statistics or original findings deep within long, unstructured paragraphs.

Why does blocking AI crawlers hurt my SEO?

AI crawlers index your content for use in LLM-generated answers. Blocking them without first measuring the traffic and visibility they deliver can make your site completely invisible in AI search results.

What is proprietary data in the context of AI SEO?

Proprietary data is original information your business owns — survey results, benchmarks, case study metrics, or unique research. When properly structured, it becomes the most defensible asset for earning AI citations because no other source can replicate it.

How do businesses prepare for ads inside ChatGPT?

Start by monitoring OpenAI’s advertising rollout announcements and setting aside test budgets. Early adopters on new ad platforms typically benefit from lower costs and less competition before the channel matures.

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