Visual Explainer

From SEO to Agent-Led Growth

AI agents now browse the internet on behalf of humans, visiting 65+ pages per query. Marketing will never be the same.

Based on Sequoia Capital's conversation with James Cadwallader (Profound) · 31 min

Start Here

The Simplest Way to Think About It

Real-World Analogy

Imagine hiring a personal shopper who reads every review, visits every store in the city, compares every price, and comes back with a single best recommendation — all before you finish your morning coffee. Now imagine this shopper works for billions of people simultaneously. That is what AI agents are doing to the internet right now.

When you ask ChatGPT "what's the best shower head under $100," it doesn't just know the answer. An agent goes out, crawls 65+ web pages, reads reviews, compares specs, and synthesizes a recommendation. The human never touches a search engine. The human never clicks a link. The human never sees an ad.

This changes everything about how products get discovered, how brands get chosen, and how marketing works.

The Fundamental Shift

SEO Is Dying. ALG Is Here.

SEO was the art of making your content discoverable by search algorithms — but it was always consumed by humans. A person typed a query, clicked a link, read your page.

ALG (Agent-Led Growth) flips this entirely. Content is now both discovered by agents and consumed by agents. The human never visits your website. The agent does, on their behalf.

Key Insight

In SEO, humans were the end consumer of content. In ALG, agents are both the finder and the reader. Your website's job is no longer to persuade a human — it's to be legible and useful to a machine that will then make the recommendation.

Side by Side

Old World vs. New World

Yesterday

SEO World

Content discovered by algorithms
Content consumed by humans
10 blue links on a search page
CTR (click-through rate) is king
Keywords and backlinks drive ranking
User visits your website directly
Ad impressions generate revenue

Today

ALG World

Content discovered by agents
Content consumed by agents
65+ pages crawled per query
Being "the answer" is king
Original insight and brand legibility drive selection
User may never visit your website
Zero-click economy — no impressions

The Long Tail Explosion

Agents use the long tail of the internet — obscure forums, niche blogs, technical docs — orders of magnitude more surface area than a human would ever browse. A human might check 3-5 pages. An agent checks 65+. This means content that was invisible in the SEO era suddenly matters.

Platform Intelligence

Where Each AI Pulls Its Answers From

Not all AI platforms are equal. Each one leans on different sources, which means your optimization strategy changes depending on where your audience asks questions.

Why This Matters

If your customers use ChatGPT, your Reddit presence and LinkedIn thought leadership are critical. If they use Gemini, your YouTube content is your moat. For Claude users (often technical), you need to tell the model something it doesn't already know — because Claude leans heavily on pre-trained knowledge.

Strategy

How to Win in the Agent Era

James Cadwallader calls humans "fleshy APIs between reality and the internet." The content that wins in the ALG era is original insight that agents can't find elsewhere.

What Works

Original data and insights — Tell the model something it doesn't know
Brand legibility — Make your brand easy for agents to parse and recommend
Structured content — Clear, factual, well-organized pages
Niche authority — Own the long tail topics in your domain

What's Risky

Gaming with listicles — "Top 10 VCs" with yourself at #1 works today but will get punished
Thin SEO content — Keyword-stuffed pages that add no real insight
Ignoring agent readability — JavaScript-heavy pages that agents can't parse
Only optimizing for Google — Missing ChatGPT, Gemini, Claude entirely

The Gaming Loophole (For Now)

Comparative listicles still work because models prefer pre-analyzed content — they take the path of least resistance. If you write "Top 10 CRMs" and put yourself at #1, the model may just cite your list. But this is the "keyword stuffing" of the ALG era — it will likely be detected and penalized as models get smarter.

The Dark Timeline

The Dead Internet Feedback Loop

Here's the uncomfortable economic reality: if humans stop browsing, the entire content economy collapses. This is the "Dead Internet Theory" — and it could play out in just 3 years.

The Predicted Resolution

James predicts AI labs will vertically integrate with social media (like Grok + X already have). Social media becomes the last "human biozone" — the only place where humans still create original content, and AI models can feed on fresh data. The rest of the web becomes an agent-to-agent landscape.

What's Coming

The Future of AI Advertising

Forget banner ads, forget Google Ads. The next generation of advertising will be conversational, hyper-personalized, and embedded directly in AI responses.

Current Ads

Search / Display

You bid on keywords. A user sees your ad among 10 others. Maybe they click. Targeting is broad. The ad feels like an interruption. Click-through rates hover around 2-3%.

Future Ads

Conversational AI

You configure an ad campaign via system prompts. The AI knows exactly what the user needs, in context. The recommendation feels like helpful advice, not an ad. Hyper-personalized to the conversation.

The Most Effective Advertising Ever?

James calls conversational AI ads potentially "the most effective advertising ever created." When a model knows your exact need, budget, preferences, and context — and recommends a product naturally within conversation — conversion rates could be an order of magnitude higher than anything we've seen.

The Trust Problem

For B2B and especially coding/technical agents, users demand objectivity. If developers discover their coding assistant is biased toward a paying sponsor's library, trust evaporates instantly. This creates a tension between monetization and utility that AI labs will have to navigate carefully.

Action Items

What Marketers Should Do Right Now

Get visibility into how agents see your brand You can't optimize what you can't measure. Tools like Profound show how your brand appears in AI-generated answers across ChatGPT, Claude, and Gemini.
Create original insight, not SEO content The winning content tells models something they don't already know. Proprietary data, unique research, first-hand experience — this is the new moat.
Make your brand legible to machines Clean structured data, clear value propositions, factual claims that agents can verify. Think less "persuasive copywriting" and more "machine-readable truth."
Go platform-specific Invest in Reddit if targeting ChatGPT users. YouTube if targeting Gemini. LinkedIn for B2B across the board. Don't treat AI search as monolithic.
Embrace agentic marketing fully Not using agents in your marketing is like not using the internet in 2000. Deploy AI agents to research competitors, monitor your brand's AI presence, and automate content optimization.
Prepare for the conversational ad era Start thinking about how your product shows up in AI conversations, not just in search results. The brands that figure out conversational placement first will have a massive advantage.

Bottom Line

The New Front Door Is an Agent

The internet's front door has changed. It's no longer a human typing into Google — it's an AI agent browsing 65+ pages on their behalf, synthesizing an answer, and making a recommendation. Brands that are legible, original, and present across the right platforms will thrive. Everyone else becomes invisible. The shift from SEO to Agent-Led Growth isn't coming — it's already here.