Microsoft told publishers and retailers at AdExchanger’s Programmatic AI event in Las Vegas, held May 18–20, 2026, that blocking AI crawlers risks making their sites invisible to chatbots, shopping agents, and Copilot-style discovery systems just as Microsoft expands a paid licensing marketplace for publisher content. The advice is simple enough to fit on a conference slide, but it lands like a provocation in an industry that has spent two years watching AI companies convert the open web into raw material. Microsoft is not merely asking publishers to be discoverable; it is asking them to trust that the next distribution bargain will be more balanced than the last three. That is the fight hiding underneath the phrase “don’t block the bots.”
That is a powerful argument because it borrows from the history of search. Publishers opened their pages to Google because search traffic became the front door of the internet; retailers optimized product pages because high-ranking pages converted into demand. Microsoft is now suggesting that the same logic applies to AI agents, except the crawler may not send a human visitor back to the page at all.
That last difference is why the advice sounds less like neutral technical guidance and more like a negotiation tactic. Microsoft needs current, structured, trustworthy information to make Copilot and other AI services useful. Publishers need money, audience, attribution, and leverage. Retailers need demand. Everyone needs the bots to behave, but no one agrees yet on who gets paid when they do.
Kolar’s reported claim that four out of five websites block AI bots gives Microsoft’s pitch a note of urgency. If true, it suggests that the web is quietly splitting into two versions: one visible to humans and conventional search engines, and another increasingly unavailable to the AI systems that want to mediate human intent. Microsoft’s warning is that the second version may soon matter more than the first.
Generative AI intensifies the problem because it separates use from visit. A model or agent can consume the facts, synthesize the answer, and satisfy the user without producing the pageview that once supported the publisher. Even when an AI answer includes attribution, the economic value of that attribution is uncertain. A link in a chatbot is not the same thing as a blue link in a search results page.
Microsoft is trying to position itself as the company that can turn this collapse into an orderly market. Its Publisher Content Marketplace, announced in February 2026, is meant to let publishers license content to AI developers under defined usage terms, with payment tied to use. The initial focus was Copilot, but Microsoft has been pitching the framework as something broader: a clearinghouse for AI grounding, not just another private content deal.
That distinction matters. Training is the controversial act of absorbing a vast amount of published material into a model’s underlying capability. Grounding is the act of pulling current, trusted information into an AI response at the moment the user asks for it. Microsoft’s argument is that the second category can be metered, licensed, and compensated in ways that the first category often was not.
But that neat line will not satisfy everyone. For publishers, the practical question is not whether a use case is called training or grounding. It is whether their work becomes a paid input, a cited source, a traffic driver, or simply a cost-free ingredient in someone else’s interface.
It is also true that a blunt robots.txt blockade is an imperfect instrument. The same file may block unwanted scrapers, legitimate search crawlers, AI assistants, academic projects, commerce agents, and tools that have not yet proved whether they are helpful or harmful. For a retailer, hiding product data from shopping agents could become the equivalent of refusing to be listed on a comparison site in the 2000s.
But Microsoft’s advice is self-serving because Microsoft is not a bystander. It operates Copilot, Bing, Azure, advertising technology, enterprise AI services, and the cloud infrastructure that would benefit from real-time inference against licensed content. If the agentic web becomes a metered marketplace, Microsoft wants to be not only a buyer of content but also the exchange, the compute provider, and the trust broker.
That does not make the marketplace illegitimate. It does make the incentives worth examining. A system in which publishers get paid when their content informs an AI answer sounds healthier than mass scraping followed by vague promises of exposure. Yet it also hands a powerful platform a central role in deciding how AI demand is routed, priced, measured, and normalized.
The old web taught publishers what happens when distribution platforms become unavoidable intermediaries. First they offer reach. Then they define the metrics. Then they change the rules.
That sounds like disagreement because it is, at least tactically. People Inc. can afford to treat access as a negotiable asset. It owns recognizable media brands, has already struck AI licensing deals, and can plausibly tell crawlers to wait outside until terms are set. A small publisher, a niche forum, or an independent retailer may have less leverage and more fear of vanishing from AI-mediated discovery.
Roberts’ reported numbers underline the operational reality. People Inc. allows a limited set of crawlers while blocking tens of thousands of others each day. That is not a philosophical rejection of AI; it is bot governance as infrastructure. At scale, crawler access is now a security, business development, analytics, and legal problem all at once.
The distinction between publishers and retailers is also real. A publisher’s product is the content itself. A retailer’s product is what the content describes: the shoes, laptops, groceries, replacement parts, or hotel rooms that an agent may recommend. The publisher loses value if the answer substitutes for the article. The retailer may gain value if the answer substitutes for browsing.
Even that split is too tidy. Large retailers may not want competitors scraping prices, inventory, or product metadata. Review sites may want product visibility but not summary substitution. Forums may want their troubleshooting knowledge discoverable while refusing to become unpaid training fodder. The web is not one business model, and crawler policy cannot be one commandment.
That does not make it useless. It remains one of the few widely understood tools site owners have. But the AI era has exposed how primitive it is. A publisher may want to allow search indexing, block model training, permit licensed grounding, deny bulk copying, allow snippets, require attribution, and meter usage by partner. Robots.txt cannot express most of that with the precision the market now needs.
The result is a policy gap that technical teams are being asked to fill with blunt rules. Block everything and you may lose discovery. Allow everything and you may lose control. Allow some bots and you enter a maintenance nightmare of user-agent strings, spoofing, undocumented crawlers, and shifting platform behavior.
For sysadmins and site operators, this is not an abstract media-industry debate. It means logs filling with aggressive crawlers, bandwidth consumed by bots that never convert, and executives asking why the company’s content does or does not appear in AI tools. The crawler question is becoming part of normal web operations, alongside SEO, security headers, CDN rules, and analytics consent.
The problem is that AI crawlers do not all behave like search crawlers. Some seek pages for indexing. Some retrieve documents for live answers. Some collect data for model improvement. Some come through third-party services. Some do not clearly identify themselves. A policy that treats all of them as one class is already obsolete.
The strongest version of this argument is not that AI will replace traffic dollar-for-dollar. It probably will not. The stronger argument is that some compensation is better than none, and structured licensing is better than litigation as the only enforcement mechanism. A marketplace could reduce transaction costs for both sides, especially if smaller publishers can join without negotiating bespoke deals with every AI company.
Yet marketplaces always encode power. Who qualifies as premium content? Who sets the pricing bands? How transparent is usage reporting? Can a publisher audit the system? Can it withdraw content? Does licensing for grounding bleed into training, ranking, summarization, or product improvement? These are not footnotes; they are the market.
There is also a Windows and enterprise angle here that should not be ignored. Microsoft’s AI ambitions are not confined to consumer chat. Copilot is being wired into Microsoft 365, Windows workflows, Edge, Bing, Azure, developer tools, and business applications. If licensed external content becomes part of how Microsoft grounds answers across that ecosystem, the marketplace could become a quiet but important layer in enterprise knowledge work.
That could be useful. A business user asking Copilot for market context, product comparisons, or regulatory background benefits from reliable sources. But IT administrators will want to know where that content comes from, how it is licensed, whether prompts and outputs are logged, and how external grounding interacts with internal data boundaries. The more capable the assistant becomes, the more governance it requires.
That changes what “traffic” means. If an AI assistant recommends a retailer and completes a purchase, the retailer may not care that the human never browsed ten category pages. If an AI assistant summarizes a news investigation and the user never visits the publication, the publisher cares a great deal. If an AI assistant reads a forum thread and solves a Windows error without sending the user back, the forum’s value has been extracted even if the user is happy.
Microsoft’s claim that blocking bots makes a business “closed” to AI discovery is persuasive only if the bots participate in a fair commercial regime. Without that regime, blocking looks less like self-harm and more like labor action. Publishers are withholding access because access is the only leverage they have.
This is where Microsoft’s marketplace is either a meaningful intervention or another platform abstraction. If publishers can set terms, receive transparent payment, and maintain control, the model deserves attention. If the practical effect is to pressure sites into opening up while only the largest players receive material compensation, the open web will have learned very little from the last platform cycle.
Small and mid-sized sites are the stress test. The web’s value has always come from more than premium media brands. Forums, hobbyist blogs, local newsrooms, documentation sites, independent reviewers, and specialist communities produce the long-tail knowledge that makes AI answers useful. A marketplace that cannot include them on workable terms will not be a marketplace for the open web; it will be a licensing desk for the already powerful.
That knowledge is extremely attractive to AI systems. It is practical, specific, and often phrased in the same messy language users type into support prompts. If AI assistants can ingest and summarize it, they become better at solving problems. But if the communities that generate that knowledge get no traffic, no recognition, and no revenue, the incentive to maintain those communities weakens.
Microsoft has an unusually delicate role here because it benefits from both sides. Better AI support experiences reduce friction around Windows, Microsoft 365, Azure, and developer tools. But much of the troubleshooting corpus that makes those experiences useful comes from outside Microsoft: community forums, independent blogs, MVPs, sysadmins, and unpaid experts who have documented the edge cases.
The company’s official posture is that quality content should be respected and compensated. The test is whether that principle extends beyond marquee publishers. A forum thread that solves a Windows 11 upgrade failure may be less glamorous than a national magazine article, but in an AI answer it may be just as valuable. The licensing economy will be judged by whether it recognizes that kind of value.
For site operators, the practical response should be neither panic nor surrender. Audit crawler logs. Separate search bots from AI bots. Decide which content is public for discovery, which is restricted, and which should be available only through licensed or authenticated channels. Treat bot access as a policy surface, not a one-time SEO setting.
The company has spent decades turning messy computing transitions into platforms. Windows organized the PC software market. Office organized productivity work. Azure organized enterprise cloud adoption. Copilot is the attempt to organize AI interaction across consumer and business computing. The publisher marketplace is a bid to organize the supply chain that feeds those interactions.
There is nothing inherently wrong with a platform company building infrastructure. The internet runs on intermediaries. The question is whether the intermediary reduces friction while preserving competition, or whether it becomes the choke point through which everyone must pass. Microsoft’s language of standards, transparency, and sustainable content economics is reassuring; its commercial position makes scrutiny mandatory.
Publishers have heard promises before. Social platforms promised audience development and then throttled reach. Search promised traffic and then moved answers onto the results page. Mobile platforms promised direct relationships and then taxed access to users. AI platforms now promise licensing, attribution, and new demand.
The rational publisher response is to participate without forgetting the history. The rational retailer response is to be discoverable without handing over strategic data blindly. The rational IT response is to build governance now, before AI crawlers become another unmanaged dependency hiding in server logs.
If Microsoft is right, total invisibility will be costly. If publishers are right, total openness will be costly too. The future sits between those extremes, and it will be built out of contracts, protocols, crawler discipline, reporting systems, and bargaining power.
Microsoft Turns Crawling Into a Business Negotiation
Nikhil Kolar, Microsoft AI’s vice president of publisher product, framed the issue in existential terms: if AI agents cannot read your content or product catalog, you disappear from the new discovery layer. In the older web, invisibility meant poor search ranking. In the agentic web Microsoft is pitching, invisibility means being absent from the answer, the recommendation, the itinerary, the buying list, and eventually the transaction.That is a powerful argument because it borrows from the history of search. Publishers opened their pages to Google because search traffic became the front door of the internet; retailers optimized product pages because high-ranking pages converted into demand. Microsoft is now suggesting that the same logic applies to AI agents, except the crawler may not send a human visitor back to the page at all.
That last difference is why the advice sounds less like neutral technical guidance and more like a negotiation tactic. Microsoft needs current, structured, trustworthy information to make Copilot and other AI services useful. Publishers need money, audience, attribution, and leverage. Retailers need demand. Everyone needs the bots to behave, but no one agrees yet on who gets paid when they do.
Kolar’s reported claim that four out of five websites block AI bots gives Microsoft’s pitch a note of urgency. If true, it suggests that the web is quietly splitting into two versions: one visible to humans and conventional search engines, and another increasingly unavailable to the AI systems that want to mediate human intent. Microsoft’s warning is that the second version may soon matter more than the first.
The Open Web Bargain Is Being Rewritten Under Duress
The open web was never free in the moral sense. It was a messy value exchange: publishers allowed indexing, search engines sent traffic, advertising funded the whole arrangement badly but broadly, and users tolerated the trade because the web remained navigable. That bargain frayed under social platforms, accelerated under mobile apps, and began to collapse when search engines started answering queries directly.Generative AI intensifies the problem because it separates use from visit. A model or agent can consume the facts, synthesize the answer, and satisfy the user without producing the pageview that once supported the publisher. Even when an AI answer includes attribution, the economic value of that attribution is uncertain. A link in a chatbot is not the same thing as a blue link in a search results page.
Microsoft is trying to position itself as the company that can turn this collapse into an orderly market. Its Publisher Content Marketplace, announced in February 2026, is meant to let publishers license content to AI developers under defined usage terms, with payment tied to use. The initial focus was Copilot, but Microsoft has been pitching the framework as something broader: a clearinghouse for AI grounding, not just another private content deal.
That distinction matters. Training is the controversial act of absorbing a vast amount of published material into a model’s underlying capability. Grounding is the act of pulling current, trusted information into an AI response at the moment the user asks for it. Microsoft’s argument is that the second category can be metered, licensed, and compensated in ways that the first category often was not.
But that neat line will not satisfy everyone. For publishers, the practical question is not whether a use case is called training or grounding. It is whether their work becomes a paid input, a cited source, a traffic driver, or simply a cost-free ingredient in someone else’s interface.
Microsoft’s Pitch Is Both Sensible and Self-Serving
There is a reason Microsoft’s position deserves more than cynicism. AI systems that rely on stale, low-quality, or unlicensed data will be worse products. Users will get hallucinated summaries, retailers will get misrepresented inventory, and publishers will watch low-grade imitations outrank the original reporting. A licensing market for authoritative content is not a bad idea on its face.It is also true that a blunt robots.txt blockade is an imperfect instrument. The same file may block unwanted scrapers, legitimate search crawlers, AI assistants, academic projects, commerce agents, and tools that have not yet proved whether they are helpful or harmful. For a retailer, hiding product data from shopping agents could become the equivalent of refusing to be listed on a comparison site in the 2000s.
But Microsoft’s advice is self-serving because Microsoft is not a bystander. It operates Copilot, Bing, Azure, advertising technology, enterprise AI services, and the cloud infrastructure that would benefit from real-time inference against licensed content. If the agentic web becomes a metered marketplace, Microsoft wants to be not only a buyer of content but also the exchange, the compute provider, and the trust broker.
That does not make the marketplace illegitimate. It does make the incentives worth examining. A system in which publishers get paid when their content informs an AI answer sounds healthier than mass scraping followed by vague promises of exposure. Yet it also hands a powerful platform a central role in deciding how AI demand is routed, priced, measured, and normalized.
The old web taught publishers what happens when distribution platforms become unavoidable intermediaries. First they offer reach. Then they define the metrics. Then they change the rules.
People Inc. Shows Why the Crawler Question Has No Universal Answer
The most revealing tension in the AdExchanger account is not between publishers and Microsoft. It is between two versions of Microsoft’s advice. Kolar reportedly urged publishers and retailers not to shut out AI crawlers, while Jonathan Roberts of People Inc. argued that publishers should begin by blocking broadly and permissioning selectively.That sounds like disagreement because it is, at least tactically. People Inc. can afford to treat access as a negotiable asset. It owns recognizable media brands, has already struck AI licensing deals, and can plausibly tell crawlers to wait outside until terms are set. A small publisher, a niche forum, or an independent retailer may have less leverage and more fear of vanishing from AI-mediated discovery.
Roberts’ reported numbers underline the operational reality. People Inc. allows a limited set of crawlers while blocking tens of thousands of others each day. That is not a philosophical rejection of AI; it is bot governance as infrastructure. At scale, crawler access is now a security, business development, analytics, and legal problem all at once.
The distinction between publishers and retailers is also real. A publisher’s product is the content itself. A retailer’s product is what the content describes: the shoes, laptops, groceries, replacement parts, or hotel rooms that an agent may recommend. The publisher loses value if the answer substitutes for the article. The retailer may gain value if the answer substitutes for browsing.
Even that split is too tidy. Large retailers may not want competitors scraping prices, inventory, or product metadata. Review sites may want product visibility but not summary substitution. Forums may want their troubleshooting knowledge discoverable while refusing to become unpaid training fodder. The web is not one business model, and crawler policy cannot be one commandment.
Robots.txt Was Built for a Gentler Internet
Robots.txt is a fragile artifact to carry this much economic weight. It was designed as a convention, not a rights management system. Well-behaved crawlers read it; bad actors ignore it; site owners encode preferences in a format that was never meant to adjudicate billion-dollar disputes over content extraction and AI substitution.That does not make it useless. It remains one of the few widely understood tools site owners have. But the AI era has exposed how primitive it is. A publisher may want to allow search indexing, block model training, permit licensed grounding, deny bulk copying, allow snippets, require attribution, and meter usage by partner. Robots.txt cannot express most of that with the precision the market now needs.
The result is a policy gap that technical teams are being asked to fill with blunt rules. Block everything and you may lose discovery. Allow everything and you may lose control. Allow some bots and you enter a maintenance nightmare of user-agent strings, spoofing, undocumented crawlers, and shifting platform behavior.
For sysadmins and site operators, this is not an abstract media-industry debate. It means logs filling with aggressive crawlers, bandwidth consumed by bots that never convert, and executives asking why the company’s content does or does not appear in AI tools. The crawler question is becoming part of normal web operations, alongside SEO, security headers, CDN rules, and analytics consent.
The problem is that AI crawlers do not all behave like search crawlers. Some seek pages for indexing. Some retrieve documents for live answers. Some collect data for model improvement. Some come through third-party services. Some do not clearly identify themselves. A policy that treats all of them as one class is already obsolete.
The Marketplace Model Promises Control, but Control Has a Price
Microsoft’s Publisher Content Marketplace is attractive because it speaks the language publishers have been demanding: permission, usage terms, reporting, and payment. Instead of pleading for traffic from AI products that may summarize away the visit, publishers can license content for specific AI scenarios. In theory, that turns their archive and current reporting into a recurring revenue stream.The strongest version of this argument is not that AI will replace traffic dollar-for-dollar. It probably will not. The stronger argument is that some compensation is better than none, and structured licensing is better than litigation as the only enforcement mechanism. A marketplace could reduce transaction costs for both sides, especially if smaller publishers can join without negotiating bespoke deals with every AI company.
Yet marketplaces always encode power. Who qualifies as premium content? Who sets the pricing bands? How transparent is usage reporting? Can a publisher audit the system? Can it withdraw content? Does licensing for grounding bleed into training, ranking, summarization, or product improvement? These are not footnotes; they are the market.
There is also a Windows and enterprise angle here that should not be ignored. Microsoft’s AI ambitions are not confined to consumer chat. Copilot is being wired into Microsoft 365, Windows workflows, Edge, Bing, Azure, developer tools, and business applications. If licensed external content becomes part of how Microsoft grounds answers across that ecosystem, the marketplace could become a quiet but important layer in enterprise knowledge work.
That could be useful. A business user asking Copilot for market context, product comparisons, or regulatory background benefits from reliable sources. But IT administrators will want to know where that content comes from, how it is licensed, whether prompts and outputs are logged, and how external grounding interacts with internal data boundaries. The more capable the assistant becomes, the more governance it requires.
The Agentic Web Needs Better Contracts Than “Trust Us”
The phrase agentic web carries the usual industry fog, but the underlying shift is concrete. Instead of users clicking through pages, agents will increasingly execute tasks: find a product, compare options, book a service, summarize a policy, draft a procurement memo, or answer a troubleshooting question. The agent becomes the interface, and the site becomes an input.That changes what “traffic” means. If an AI assistant recommends a retailer and completes a purchase, the retailer may not care that the human never browsed ten category pages. If an AI assistant summarizes a news investigation and the user never visits the publication, the publisher cares a great deal. If an AI assistant reads a forum thread and solves a Windows error without sending the user back, the forum’s value has been extracted even if the user is happy.
Microsoft’s claim that blocking bots makes a business “closed” to AI discovery is persuasive only if the bots participate in a fair commercial regime. Without that regime, blocking looks less like self-harm and more like labor action. Publishers are withholding access because access is the only leverage they have.
This is where Microsoft’s marketplace is either a meaningful intervention or another platform abstraction. If publishers can set terms, receive transparent payment, and maintain control, the model deserves attention. If the practical effect is to pressure sites into opening up while only the largest players receive material compensation, the open web will have learned very little from the last platform cycle.
Small and mid-sized sites are the stress test. The web’s value has always come from more than premium media brands. Forums, hobbyist blogs, local newsrooms, documentation sites, independent reviewers, and specialist communities produce the long-tail knowledge that makes AI answers useful. A marketplace that cannot include them on workable terms will not be a marketplace for the open web; it will be a licensing desk for the already powerful.
WindowsForum Readers Have More at Stake Than Media Economics
For a Windows community, this story is not just about publishers protecting ad revenue. The same dynamics apply to technical knowledge. Forums are full of answers that never appear in official documentation: registry fixes, driver conflicts, weird update failures, motherboard quirks, deployment scripts, and the lived experience of administrators dealing with Windows at scale.That knowledge is extremely attractive to AI systems. It is practical, specific, and often phrased in the same messy language users type into support prompts. If AI assistants can ingest and summarize it, they become better at solving problems. But if the communities that generate that knowledge get no traffic, no recognition, and no revenue, the incentive to maintain those communities weakens.
Microsoft has an unusually delicate role here because it benefits from both sides. Better AI support experiences reduce friction around Windows, Microsoft 365, Azure, and developer tools. But much of the troubleshooting corpus that makes those experiences useful comes from outside Microsoft: community forums, independent blogs, MVPs, sysadmins, and unpaid experts who have documented the edge cases.
The company’s official posture is that quality content should be respected and compensated. The test is whether that principle extends beyond marquee publishers. A forum thread that solves a Windows 11 upgrade failure may be less glamorous than a national magazine article, but in an AI answer it may be just as valuable. The licensing economy will be judged by whether it recognizes that kind of value.
For site operators, the practical response should be neither panic nor surrender. Audit crawler logs. Separate search bots from AI bots. Decide which content is public for discovery, which is restricted, and which should be available only through licensed or authenticated channels. Treat bot access as a policy surface, not a one-time SEO setting.
Microsoft Is Trying to Become the Toll Road and the Traffic Cop
The strategic ambition is bigger than publisher relations. Microsoft wants to supply the infrastructure of AI-mediated discovery: cloud compute on Azure, AI interfaces through Copilot, advertising and commerce connections through Microsoft Advertising, and content licensing through the Publisher Content Marketplace. That is a coherent strategy, and a very Microsoft one.The company has spent decades turning messy computing transitions into platforms. Windows organized the PC software market. Office organized productivity work. Azure organized enterprise cloud adoption. Copilot is the attempt to organize AI interaction across consumer and business computing. The publisher marketplace is a bid to organize the supply chain that feeds those interactions.
There is nothing inherently wrong with a platform company building infrastructure. The internet runs on intermediaries. The question is whether the intermediary reduces friction while preserving competition, or whether it becomes the choke point through which everyone must pass. Microsoft’s language of standards, transparency, and sustainable content economics is reassuring; its commercial position makes scrutiny mandatory.
Publishers have heard promises before. Social platforms promised audience development and then throttled reach. Search promised traffic and then moved answers onto the results page. Mobile platforms promised direct relationships and then taxed access to users. AI platforms now promise licensing, attribution, and new demand.
The rational publisher response is to participate without forgetting the history. The rational retailer response is to be discoverable without handing over strategic data blindly. The rational IT response is to build governance now, before AI crawlers become another unmanaged dependency hiding in server logs.
The Real Choice Is Not Open or Closed, but Metered or Exploited
The debate is often framed as whether publishers should block AI bots. That framing is too crude. The real choice is whether the web can develop a permissioned, measurable, economically meaningful access layer before AI assistants normalize unpaid extraction as the default.If Microsoft is right, total invisibility will be costly. If publishers are right, total openness will be costly too. The future sits between those extremes, and it will be built out of contracts, protocols, crawler discipline, reporting systems, and bargaining power.
The Bot Gate Is Becoming a Business System
The concrete lesson from Microsoft’s pitch is that crawler policy is no longer a webmaster afterthought. It is becoming part of revenue strategy, data governance, AI readiness, and platform risk management. The organizations that treat it that way will have more leverage than those that simply toggle between allow and deny.- Microsoft is urging publishers and retailers to remain legible to AI agents because future discovery may happen inside assistants rather than search results pages.
- The company’s Publisher Content Marketplace is designed to license content for AI grounding and usage-based compensation, but Microsoft also benefits through Copilot, Azure, and its broader AI stack.
- Large publishers such as People Inc. can use blocking as leverage, while smaller sites may face a harder trade-off between visibility and control.
- Retailers and publishers have different incentives because AI answers can either replace the content product or drive demand for a separate product.
- Robots.txt remains useful but too blunt for the nuanced permissions, pricing, attribution, and auditing that AI crawling now requires.
- Windows communities, technical forums, and independent documentation sites should treat AI bot access as a governance issue because their practical knowledge is highly valuable to support-oriented AI systems.
References
- Primary source: AdExchanger
Published: 2026-05-26T05:30:08.011436
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