Marketing & AI: 1)How To Adapt Your Entire Marketing Funnel With AI; 2) For more of this article, including how to rebuild a funnel, and The New AI Reality in Marketing 3)additional articles – see below; 4)Perplexity AI User and Revenue Statistics; 5)Anthropic opens up its Claude Cowork feature to anyone with a $20 subscription; 6)@Marcus Sheridan Trust Signals: The Answer to Getting AI to Know and Share Your Business

1)How To Adapt Your Entire Marketing Funnel With AI

Sections 1), 2) and 3) Courtesy of thought-leader: Neil Patel’s organization

By Matthew Santos, Chief Product Officer

Published January 13, 2026

Marketing is moving faster than most teams can keep up with. Users expect answers immediately. They jump across channels before they ever land on your website. Search results summarize key points before they show links. AI Overviews and other LLMs give people clean, structured answers that used to require a full research session.

This change affects every part of the funnel, not because the fundamentals changed, but because AI reshaped how information flows and how decisions get made.

“How To Adapt Your Entire Marketing Funnel With AI.”

If you want your marketing system to keep up, you need to adapt your funnel to fit the way people learn, compare, and act. That requires new workflows, smarter content systems, and teams who know how to direct AI instead of wrestling with it.

Here is how to rebuild your entire marketing funnel for the AI era.

Key Takeaways

2) For more of this article, including how to rebuild a funnel, and The New AI Reality in Marketing, go to: https://neilpatel.com/blog/ai-marketing-funnel/?utm_medium=email&utm_source=rasa_io&utm_campaign=newsletter

2) ChatGPT Gets Googled More Than YouTube, Instagram, Facebook, and TikTok

By Despina Gavoyannis, Senior SEO Specialist at Ahrefs, Xibeijia Guan, Reviewed by Ryan Law

January 19, 2026

3)Other articles on the same page

Meet the New Web Crawlers: AI Bots Are Closing in on Search Engine Bots
The web is being crawled more than ever, but it’s no longer just search engines doing the crawling. AI bots are soaking up all the data they can to train and power their AI assistants.
Are AI Mode and AI Overviews Just Different Versions of the Same Answer? (730K Responses Studied)
This data study compares the similarities and differences between Google’s AI Overview and AI Mode responses, and what it means for brands.
An Aggregator With Integrator Strategy – Carwow SEO Case Study
A look at how carwow’s SEO, its strategy, the opportunities it grabbed, etc., have helped it grow its organic traffic and business.
100 Most Expensive Keywords for Google Ads in 2026
These are the most expensive keywords people are bidding for on Google Ads this year.

4)Perplexity AI User and Revenue Statistics

Written by Backlinko TeamLast updated on Jan. 19, 2026

Intro: Founded in 2022, Perplexity offers an AI-powered search engine.
AI tools offer a new way to search for factual information, where Perplexity stands out as an AI-native search engine that combines large language models with real-time web search.
With a valuation of $20 billion and a growing user base of 30 million monthly active users, Perplexity is one of the fastest-growing tech startups challenging Google’s dominance with its AI-native search engine.
From the number of Perplexity active users to company revenue, we’ll cover the latest stats about the popular AI search engine on this page.

For the full article: go to: https://backlinko.com/perplexity-statistics?utm_medium=email&utm_source=rasa_io&utm_campaign=newsletter

5)Anthropic opens up its Claude Cowork feature to anyone with a $20 subscription

Courtesy of Contributing Reporter, Ian Carlos Campbell, Engadget: January 16, 2025

Anthropic has opened up its Claude Cowork feature to anyone with a $20 subscription, and we highly recommend checking it out. Camp Tech owner Avery Swartz was able to build a website using Claude Cowork, which she detailed in this post on LinkedIn:

Claude Cowork, Anthropic’s AI assistant for taking care of simple tasks on your computer, is now available for anyone with a $20 per month Pro subscription to try. Anthropic launched Cowork as an exclusive feature for its Max subscribers, who pay a minimum of $100 per month for more uses of Claude’s expensive reasoning models and early access to experimental features. Now Claude Cowork is available at a cheaper price, though Anthropic notes “Pro users may hit their usage limits earlier” than Max users do.

Like other AI agents, the novelty of Claude Cowork is its ability to work on its own. If you have the macOS Claude app and a Pro subscription, you can prompt Claude Cowork to work on tasks on your local computer, like creating documents based on files you have saved or organizing your folders. The feature is an evolution of Claude Code, Anthropic’s AI coding agent, and can similarly use connectors and the Claude Chrome plugin to work with other apps and the web.

As part of this expanded rollout, Anthropic has included a few fixes inspired by early user feedback. You’ll now be able to rename sessions with Claude Cowork (“Tasks” in the parlance of the Claude app) and the company says the AI assistant will offer better file format previews, more reliable use of connectors to other apps and confirmation messages before it deletes files.

Coding agents top the list of applications of AI that have gained real traction in the last year, so Anthropic applying what it learned with Claude Code to a more general collection of computer tasks makes sense. Claude Cowork is still limited to macOS and Anthropic’s paid subscribers, but assuming the AI agent continues to be popular, it wouldn’t be surprising if the company brought it to other platforms.

6) @Marcus Sheridan Trust Signals: The Answer to Getting AI to Know and Share Your Business

Courtesy of Social Media Marketing Podcast, January 27, 2026

Recommended or Rejected: Does AI Trust You

• Watch on YouTube

• Listen on Apple Podcasts | Spotify | Amazon Music

• Read on Social Media Examiner

Getting AI to recommend you comes down to trust signals. A trust signal is any piece of content ever produced online about your company—by you or by someone else.

Every review ever written about your company, whether positive or negative, is a trust signal. Every piece of content you produce, every article on your website, every video out there, the different tools you have on your site, and everything said about you—these all become trust signals.

Think of your AI trust score like a credit score. Just as there are things that ding your credit and things that build your credit in finance, it’s the same with how AI views your brand. AI is getting much better at consuming all these signals—whether on social media, YouTube, or your website.

But here’s the critical distinction: AI doesn’t rank businesses the way Google does. There’s no such thing as “ranking first” in AI. If AI sees your brand as having an authority score on particular subject matter or a particular area, then you’re likely to be mentioned based on that score.

Here’s another important factor: every AI account is different. You and someone else could do the exact same search right now and get different answers. Your AI has been trained on you, and theirs has been trained on them. AI understands every user uniquely.

It’ll get to the point where AI can tell if you’re a high-end, quality-driven buyer or a budget-minded buyer. Your AI will learn about you and recommend businesses consistent with your buying history and past themes. Google never did that.

There are many types of AI trust signals grouped into three tiers: technical signals, authority-based signals, and brand-based signals. Let’s explore how to get started with this tier.

Strengthening Authority Trust Signals With Pricing Transparency

Authority-based signals help AI understand your brand’s market authority. One of the most powerful authority signals you can build is pricing transparency.

AI understands that the foremost question every single consumer has—the first question of the buyer’s journey—is roughly “What’s this going to cost?”

You need three things to build strong pricing authority signals:

A Robust Pricing Page: Create a pricing page that explains value in your industry, what drives costs up and down, and discusses ROI. Don’t just list prices—help people understand pricing in your industry.

The River Pools story illustrates this perfectly. When the housing market crashed in 2008 and the pool business was dying, the company started answering every question customers were asking—including pricing questions. They created content like “How much does a fiberglass pool cost?” with real numbers and pricing ranges.

Competitors thought this was crazy. Why would you give away pricing information? But this transparency made River Pools the most trafficked swimming pool website in the world and turned the company around.

A Pricing Video: Video content amplifies your pricing authority. Create video content that walks people through pricing considerations, helping them understand the factors that influence costs in your industry.

A Pricing Estimator: Interactive pricing estimators and calculators are becoming increasingly critical. Already, when you do service-based searches on your cell phone, you’re seeing “Have AI check prices.” Click that, and the AI asks you a series of questions, goes to contractors to get information, and comes back with a report—without you ever engaging the contractor directly.

AI will soon show you in the AI summary which contractors near you have an estimator on their site based on what it was able to see and read.

Tools like Common Ninja and Ion Interactive help you build these calculators without coding knowledge. You can create estimators for virtually any product or service—pool installations, software implementations, consulting packages, manufacturing quotes, and more.

Additional Authority Signals: Other authority signals include whether you’re on Google page one for that particular thing (though this isn’t something you can just go fix immediately) and the accuracy of your claims.

AI really cares about the accuracy of claims. If you say, “I am the most successful coach for stay-at-home moms who are coming back into the workforce,” AI doesn’t like that unless you back it up with proof.

AI will ding you if you have a claim that’s not backed by some type of proof. However, if you say “I won this particular award for top ten coaches in the world for this particular niche” and then you source back to it, that’s an authoritative outbound citation—a major trust signal that helps prove the accuracy of the claim.

You can’t just make claims anymore without backing them up. Every claim needs supporting evidence that AI can verify.

Other topics discussed include:

• Why AI Visibility Is the Future of Online Discovery

• The Opportunity Right Now: AI Trust Signals

• Building Technical Trust Signals With Schema Markup

• Maximizing Brand Trust Signals Through Reviews and Recognition

• Auditing Your AI Visibility With Testing Tools

Today’s advice is provided with insights from Marcus Sheridan, a featured guest on the Social Media Marketing Podcast.