Agent Beat[1]

Wednesday, September 16, 2026

8 stories · 3 topics · 6 outlets

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Answer Engines5Agent-to-Agent Marketing2Vendor Launches1
Answer Engines

AEO startup Profound hits unicorn valuation, raises $180M Series D 7 months after last round

Profound raised a $180 million Series D at a $1.8 billion valuation, less than seven months after a $96 million Series C. The company sells software that tracks how brands appear and get cited inside AI answers. Marketers buying AI-visibility tooling now have a much better-funded vendor to consider, and should expect the category's products and sales coverage to keep changing at this pace.

TechCrunchRead at source ↗

Answer Engines

5

Cloudflare Lets Sites Disallow AI Training Without Blocking Googlebot via @sejournal, @MattGSouthern

Cloudflare added a Disallow AI Training option that blocks crawlers used for AI training while leaving mixed-use crawlers such as Googlebot free to index a site for search. Google and Apple honor the training opt-outs, and Bing has not yet added robots.txt support, according to Search Engine Journal's report. Marketers who want their pages cited in AI answers should re-check what their robots.txt and Cloudflare rules actually block, since opting out of AI training no longer has to cost them search indexing.

Search Engine Journal↗

Brand Protection In AI Search: How To Audit And Defend Your Brand’s Identity

Search Engine Journal published a guide on auditing a brand's presence in AI search, finding false claims and impersonators, and matching each problem to a correction, a report, or a preventive step. The guide treats AI answers as a place where a brand's identity can be altered or copied, not only cited. Marketers should add branded-query checks in AI assistants to their regular monitoring, next to the reports they already run for ads and search results.

Search Engine Journal↗

How I Built an MCP Server for agents to use my Algo Update list

Marie Haynes turned her 15-year archive of Google algorithm updates into an MCP server at algo.mariehaynes.com, and the post explains the architecture and how to connect it to Claude Desktop. MCP is the standard that lets AI assistants call outside tools and data. Marketers who hold a useful content archive can publish it the same way, so assistants query that data directly instead of waiting for a page to be crawled and cited.

Marie Haynes Consulting↗

Google AI Mode More Query Expansion Interfaces

Google is testing new forms of query expansion in AI Mode beyond standard follow-up questions, including questions with multi-selection tools, a query refinement option, and paginated responses. Search Engine Roundtable reports these are tests, not a released feature. Marketers optimizing for AI answers should assume one prompt now fans out into several related questions, and cover the sub-questions buyers actually ask instead of a single head term.

Search Engine Roundtable↗

Agent-to-Agent Marketing

2

Is Agentic now tailors its audit by site type

Vercel's Is Agentic reports can now be viewed through one of four site types: docs and content, business, app, or commerce, with the commerce view highlighting payment and checkout standards such as x402, UCP and ACP. Scores do not change between views, and a site can set its default view with one meta tag. Marketers preparing a storefront for AI agents should run the audit in the commerce view to see which agent payment and checkout standards their pages are missing.

Vercel Blog↗

Meta now lets AI agents handle the boring parts of WhatsApp Business setup

A new WhatsApp Business MCP server lets developers point AI coding agents such as Claude, Cursor, Codex and ChatGPT at business setup, message templates, testing and troubleshooting. Meta's business messaging tools are the target of the integration. Marketers who run WhatsApp Business accounts should expect agencies and platform vendors to configure templates and fix errors through agents instead of manual console work.

TechCrunch↗
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Vendor Launches

1

Salesforce bets CRM experience can give its AI an edge

At Dreamforce, Salesforce introduced Koa, its first CRM reasoning model, built with Nvidia to work through multistep sales, service, and customer workflows. The company says Koa decides which tools and actions a job needs rather than only answering questions or writing text. Marc Benioff, Salesforce's chair and CEO, said in a statement that the company's knowledge of how enterprise business works is put inside the model itself. Marketers should expect CRM vendors to pitch their own models for agent work, and should ask how a vendor model will use their account and product data.

MarTech.org↗