The agent-first web, decoded.

AI visibility tools, explained: what the scores measure and how to choose one

An AI visibility tool measures how AI platforms like ChatGPT, Claude, Gemini, Perplexity, and Grok mention, cite, and recommend a brand. Here is what the metrics actually mean, six questions to ask before you choose, and the difference that matters most: self-serve software your team operates versus a service that owns the outcome.

AI visibility for financial services: why regulated firms have the harder problem

AI visibility for financial services is harder than for other industries: the SEC and FINRA rules that govern your marketing also govern the content that earns AI recommendations, same-name confusion is rampant among advisory firms, and generic content services do not know the rules. Here is why RIAs, wealth managers, and broker-dealers face a distinct problem, and what compliance-aware AI visibility work looks like.

Chatbots that answer only from your documents: how grounding works, and how to test it

A grounded chatbot answers only from your documents: it retrieves the passage from your approved content, cites the source, and declines when nothing supports the question. Here is how grounding and RAG actually work, why a refusal is a feature, and five ways to test any chatbot's grounding claim before you trust it in front of customers.

What an AI recommendation score is worth: how to audit the number before you trust it

An AI recommendation score is only worth what its method can prove. Here is how to audit one: check for locked prompts, a constant competitor field, verification against your real web domain, and a fixed monthly rerun. Published industry benchmarks describe a category from the outside; a locked head-to-head comparison tells you whether the AI actually chooses you.

Own your website: full code ownership in the age of AI-read sites

Owning your website means holding the source code, the repository, the hosting, the domain, and the keys yourself, with no vendor lock-in. Here is what full code ownership means, why template builders rent those layers back to you, and why the AI era, where machines read your site as code, makes ownership matter more than ever.

Animated HTML5 display creative: why static ads underperform, and what beats the benchmark

Animated HTML5 display creative is a banner ad built to move, and built well it far outperforms static display. Here is why static ads get ignored, what the craft of animated banner design actually takes, and the published results from three units that beat the display benchmark by 11 to 27 times.

When AI credits the wrong company: same-name confusion and how to fix it

Entity disambiguation is how AI decides which real-world business a name points to. When firms share a name, the recommendation can resolve to a competitor's website instead of yours. Here is how same-name confusion works, how to tell if it is happening to you, and how to make your own domain the firm the engines recognize.

Prompt volume or head-to-head: what each AI measurement actually answers

Prompt volume tells you how big the AI conversation is in your category. Head-to-head win rate tells you whether the AI picks you when it compares you to a rival. They are different measurements answering different questions, and here is how to tell which one you are actually looking at.

Your website is the engagement surface: what AI changed, and what still compounds

Your website is the one engagement surface you own outright. In the AI era that means a chat that cites its sources or declines, a search that knows your pages, and a domain where trust compounds instead of renting attention somewhere else. Here is how on-domain engagement differs from ticket deflection, and how to tell which one your business should be buying.

AI customer support your compliance team can approve: what makes a chatbot safe for a regulated industry

A compliance-grade chatbot answers only what it can cite from your own pages, declines what it cannot, routes anything sensitive to a human, and logs every word. Here is what a compliance team actually checks before it approves an AI customer-support agent, and how a self-serve support platform differs from a service that owns the outcome.

Your domain just became your agent's passport

Google's new Agentic Resource Discovery spec makes domain ownership the root of trust for AI agents. Here is what ARD actually says, in plain language, and what it means for any business that wants to be found by agents.

Re: Announcing the Agentic Resource Discovery specification · Google for Developers Blog

A year in, A2A is production-ready. Most websites aren't.

One year after launch, Google says the Agent2Agent protocol is production-ready with shipped SDKs and real systems running on it. The milestone exposes a gap: the plumbing for collaborative agents is done, and most websites still behave like APIs that return data or fail.

Re: How A2A is Building a World of Collaborative Agents · Google for Developers Blog

Google's CEO named the era: agentic. The budget says he means it.

Sundar Pichai called this the agentic Gemini era and put roughly $180 to $190 billion of capex behind it. Here is what the platform going agentic means for the brand layer underneath it.

Re: I/O 2026: Welcome to the agentic Gemini era · The Keyword (Google)

Searches are 3x longer now. Google published the numbers.

One year in, Google shared how AI Mode changed U.S. search behavior: queries three times longer, one in six using voice or images, and a shift toward planning and brainstorming. Here is what it means for your content.

Re: How AI Mode is changing the way people search in the U.S. · The Keyword (Google)

Google put agents in the Search box. Here's what changed.

At I/O 2026, Google rebuilt the Search box and put agents inside it, calling it the biggest change in over 25 years. Here is what that means for anyone whose customers start on Google.

Re: A new era for AI Search · The Keyword (Google)

AI Max turns one: the brief is the new bid

A year in, Google's AI Max for Search adds AI Brief: you steer the campaign with plain-language instructions instead of bids and match types. The skill in paid search just moved from managing numbers to writing the brief.

Re: AI Max Turns 1 with new ways to steer performance and expansion to more advertisers · The Keyword (Google)

MCP, A2A, UCP, AP2: the agentic web's alphabet, translated

Google published a guide walking through the six protocols behind AI agents by building one working agent. Here is the same map in business terms, plus the discovery file every website will need and the one line owners should not skip.

Re: Developer's Guide to AI Agent Protocols · Google for Developers Blog

Google's 2026 letter: 'We are reinventing what an ad is'

In her annual letter, Google's ads VP says agentic commerce is now reality and the ad itself is being reinvented as an AI experience. When the ad becomes a conversation, the brand behind it needs grounded content and an agent that can hold up its end.

Re: What to expect in digital advertising and commerce in 2026 · The Keyword (Google)

Google's three AI strategies for 2026, and the one that matters

Google's Ads Decoded podcast named three AI strategies for 2026. Two are familiar efficiency plays. The third, that creative is now the primary lever for success, is the one that should actually change how you spend.

Re: Ads Decoded presents three AI strategies to master the future of marketing in 2026. · The Keyword (Google)

Under UCP's hood: the machine-readable storefront

Google's technical write-up of the Universal Commerce Protocol shows the architecture of an agent-legible business: a JSON manifest at a well-known path, dynamic capability discovery, and cryptographic proof of consent. Published is not the same as trusted, which is why agent identity should be signed.

Re: Under the Hood: Universal Commerce Protocol (UCP) · Google for Developers Blog

Google gave every brand a sales associate on Search. Read the fine print.

Google launched the Universal Commerce Protocol and Business Agent, a branded AI that answers shoppers in your voice on Search. It is a real gift and a real dependency: the agent lives on Google's surface, on Google's terms. The durable asset is your own agent on your own domain.

Re: New tech and tools for retailers to succeed in an agentic shopping era · The Keyword (Google)

A2UI: when agents start drawing the interface

Google opened A2UI, a project that lets an AI agent generate the interface itself and hand it to your app to render. It works from declarative blueprints and trusted component catalogs, which points at design and agency work most sites have not begun.

Re: Introducing A2UI: An open project for agent-driven interfaces · Google for Developers Blog

Google will buy it for you now: agentic checkout is live

Google's agentic checkout is rolling out in Search and AI Mode, letting Google complete a purchase on the merchant's site with Google Pay. When the buyer becomes an agent acting under a person's constraints, agent-eligibility turns into a revenue channel.

Re: Let AI do the hard parts of your holiday shopping · The Keyword (Google)

Asset Studio makes ad creative free. It doesn't make it good.

Google's Asset Studio turns a text prompt into finished ad assets: lifestyle photos, a hundred variations, even video. When production costs almost nothing, judgment becomes the scarce input. Here is what actually separates a good campaign from a cheap one.

Re: Generate and scale creative assets with Google AI in Asset Studio · The Keyword (Google)

AI Mode started doing things, not just answering

Google's AI Mode can now book a restaurant across your constraints by browsing live websites on your behalf. Here is how the agent works, and why it decides whether your site is usable.

Re: AI Mode in Search gets new agentic features and expands globally · The Keyword (Google)

A2A moved to the Linux Foundation. That matters more than the launch did.

Google donated the Agent2Agent protocol to the Linux Foundation, putting it under neutral governance alongside AWS, Cisco, Microsoft, Salesforce, SAP, and ServiceNow. Here is why handing a standard away is what makes it safe to build on.

Re: Google Cloud donates A2A to Linux Foundation · Google for Developers Blog

Google is putting an agent in the marketer's browser

Google announced agentic capabilities in Google Ads and Analytics, plus Marketing Advisor, an AI agent that lives in Chrome and works inside your website and CMS. Here is what that changes about how campaigns get run.

Re: Drive peak campaign performance with new agentic capabilities · The Keyword (Google)

Google's ads team said it plainly: discovery happens inside the AI answer now

Google's own ads announcement confirms that brand discovery is moving into AI Overviews and AI Mode. If the AI answer does not mention you, you are not in the running. Here are the two ways back in.

Re: More opportunities for your business on Google Search · The Keyword (Google)

AI Max, explained: what Google's new Search campaign AI actually does

Google's AI Max for Search campaigns is a one-click suite that expands your reach beyond your keywords. The reach is real. So is the risk of burning budget if nobody is steering it. Here is what AI Max does and what it takes to run it well.

Re: Unlock next-level performance with AI Max for Search campaigns · The Keyword (Google)

Google's A2A protocol, explained: agents now have a common language

Google launched Agent2Agent (A2A), an open protocol that lets AI agents built by different companies find each other and work together. Here is what it says in plain language, and why it changes what your website has to do.

Re: Announcing the Agent2Agent Protocol (A2A) · Google for Developers Blog