What is enterprise AI search, and how is it different from ChatGPT or Google?

Enterprise AI search refers to tools like Glean and Microsoft 365 Copilot that run inside a company's own tenant, blending public web content with a buyer's internal Slack messages, SharePoint files, and CRM notes into one synthesized answer. Unlike public AI search, the results are private to that organization, which means you cannot rank-track them directly, only optimize the public content those systems are able to retrieve.

Can I influence what Glean or Copilot says about my product if I never get access to a buyer's tenant?

Yes, indirectly. You cannot control the internal documents a buyer's own team has written about you, but you can control whether your public docs, pricing, security, and integration pages are crawlable, current, and structured clearly enough that when the system does reach your domain, it retrieves accurate, citable facts instead of nothing at all.

Does Glean's Website connector respect my robots.txt or gated content?

Glean's connector documentation states that it crawls pages reachable with the credentials it is given and does not enforce per-document permissions the way its SaaS connectors do, so anything genuinely public and unblocked is likely to be indexed. Content behind a login wall, gated PDF form, or blocked by robots.txt will not be reachable unless an administrator explicitly configures credentialed access.

Should I still add FAQPage and HowTo schema if Google removed those rich results?

Yes. Google removed HowTo rich results in 2023 and fully removed FAQ rich results from search on May 7, 2026, so neither will produce a visual snippet in Google anymore. Both remain valid, actively supported schema.org types, and they continue to help AI systems, including enterprise retrieval pipelines, parse the relationship between a question and its answer during extraction.

How is this different from optimizing for ChatGPT or Perplexity citations?

The underlying content principles overlap heavily: clear structure, concrete facts, real tables, and named proof all help in both contexts. The difference is distribution and measurement. Public AI search draws from the open web and can be prompt-tested directly, while enterprise copilots draw from a private blend of your public content and the buyer's own internal documents, which makes measurement indirect and dependent on proxies like public-Copilot testing and self-reported attribution.

What's the fastest way to check if we already show up inside these tools?

Start with the public-facing equivalents you can actually test: run comparison and vendor-evaluation prompts through Microsoft Copilot's consumer surface and Bing Chat, since they share grounding logic with the enterprise product, and manually crawl your own site the way Glean's Website connector would to confirm your docs, pricing, and trust pages are actually reachable without a login.

Do security and compliance docs really get cited by AI copilots, or is that overstated?

Procurement and security teams are increasingly using AI agents specifically to scrape vendor security posture and pre-fill internal risk assessments, which is why whether an AI agent can actually read a trust center has become its own evaluation criterion in 2026. A trust center published as crawlable text with explicit certification dates is far more likely to be retrieved and cited accurately than one locked behind a gated download.

How long before this work shows up as pipeline?

Most teams see measurable shifts in prompt-test results within 60 to 90 days of restructuring pricing, security, and comparison content, since that is roughly the cycle time for crawlers like Glean's Website connector and Bing's grounding index to re-crawl and re-embed updated pages. Attribution to closed pipeline takes longer to confirm and depends heavily on adding the self-reported "how did you hear about us" field early, since that is often the only direct evidence a copilot shaped a specific deal.

How to Optimize for Enterprise AI Search and Internal Copilots