Entry Paths in AI Search: /blog, /home, or /products — Which Page Acts as the Gateway for AI

There is one question that marketers rarely ask, even though it determines almost everything in GEO strategy: through which page does an AI neural network "enter" your brand?

Not "does AI mention your brand" — that is a Mention Rate question. And not "which keywords trigger your appearance" — that is about queries. Entry Path is different. It is about which section of your website AI uses as its primary source of information about you.

The answer to this question determines where to invest editorial time, what to optimize for neural networks, and why the "write more blog posts" strategy works in some businesses — and barely works in others.

The AthenaHQ State of AI Search 2026 (Q1 2026) study across 8 verticals provides the first large-scale answer to this question. We broke down the data — and it surprised even us.

What Is an Entry Path and Why It Matters

A neural network does not read your entire site. When ChatGPT, Perplexity, or Gemini generate a response about your brand or category, they access specific URLs from their index. And those URLs are distributed unevenly.

Entry Path is the type of page (or path in the site structure) that AI uses as its main source when generating a response. Simply put: what the neural network "reads" first when it wants to say something about you or your category.

Why does this matter? Because:

• If AI enters through /blog — it sees your expertise, research, and perspective on the industry
• If through /home — it sees your positioning, value proposition, and audience
• If through /products — it sees specific characteristics, pricing, and comparable parameters

Anyone who optimizes the wrong section loses AI traffic regardless of the content budget.

/blog-Oriented Verticals: Where Expertise Decides Everything

In six of eight verticals, the blog turns out to be the dominant Entry Path. But the share and logic differ.

Technology & Software: 59.89% via /blog

The technology vertical holds the absolute record. More than half of all cited paths in AI responses lead to /blog. Why?

Technology queries are inherently informational and comparative: "what is the difference between PostgreSQL and MySQL," "how to choose a CRM for a team of 50," "what is RAG architecture." For such questions, a neural network looks for an explanation — and finds it in tech company blogs.

In the tech vertical, a blog is not a marketing channel. It is a knowledge base that AI uses as a primary source.

Industry, Energy & Infrastructure: 46.51% via /blog

Industrial and infrastructure companies have traditionally believed they do not need "content marketing." AthenaHQ data refutes this: nearly half of all AI references to companies in this vertical lead to /blog.

The explanation: queries about infrastructure and industry are queries about technology, regulation, and standards. AI looks for expert content explaining "how it works" and "why it works this way."

Financial Services & Fintech: ~40-45% via /blog

Financial companies are traditionally cautious with content due to regulatory requirements. But AI still prefers their educational and analytical content. Articles about "how factoring works," "the difference between types of investment accounts," "how to read a credit history" — this is exactly what fintech blogs publish and what AI readily cites.

Healthcare: 36.39% blog, 22.16% home, 10.84% products

Healthcare is an interesting case: /blog dominates, but noticeably less so. The reason: a significant share of AI queries in healthcare are not informational but navigational ("clinic nearby," "doctor of a specific specialty"). For such queries, AI reads /home or specific service pages.

/home-Oriented Verticals: When AI Looks for "Who You Are," Not "What You Know"

Two verticals — retail and real estate — show a fundamentally different pattern.

Retail & E-Commerce: /home at 32.65% — a unique phenomenon

In retail, the homepage outperforms the blog. This is unique among all eight verticals.

The logic is clear: when a user asks "where to buy a refrigerator" or "best electronics store online," AI does not look for expert articles. It looks for a description of the marketplace: assortment, delivery, warranty, reputation. All of this is on /home.

This is why an e-commerce marketer who puts everything into a blog and ignores the homepage loses 65%+ of potential AI traffic. A blog is the second most important channel, but /home is the first.

Real Estate & Hospitality: /home 33.52%, /blog 20.06%, /products 16.81%

Real estate and hospitality show similar logic. A query like "hotels in Miami for families with kids" or "new apartments under $500K" is a request for a specific offer, not an article. AI reads the homepage of an aggregator or developer to understand their positioning and offering.

Notably, /products takes 16.81% — the third significant position. Pages for specific properties and offers in real estate matter to AI almost as much as the blog.

Logistics & Transportation: 48.15% /home — a Complete Inversion

Logistics and transportation is the most surprising case in the study.

Nearly half of all AI references in the logistics vertical lead to the homepage. Blog: only 7.87%.

Why such an inversion? Logistics queries are requests for a specific service: "international shipping," "fulfillment for marketplace," "warehouse rental near the city." AI reads /home to understand what exactly the company offers. Then it reads /products — specific rates and formats. The blog with its articles about "logistics trends" AI ignores.

For automotive dealers and mobility services the pattern is similar: /products plays a key role (AI compares specific models and configurations), /home is the brand entry point, and the blog is almost never cited.

Full Entry Path Table by Vertical

How to Optimize Each Page Type for AI

/blog: Expertise, Not Content Marketing

For verticals where /blog dominates, the key principle is: AI cites articles that answer a specific question with genuine expertise, not articles written "for SEO."

What works:

• Research with real data and figures
• Comparative materials ("X vs Y: which to choose for use case Z")
• Explanatory articles about mechanisms and processes
• FAQ articles with detailed answers to real audience questions
• Glossaries and reference materials

What does not work: generic overviews without data, "top 10 tips" lists, news reposts.

For AI visibility, every article needs a clear structure with headers, data with source attribution, and schema markup of type Article or FAQPage.

/home: Positioning, Not a Slogan

When /home is the Entry Path, it means AI reads it to understand who you are and what you offer. This requires a different approach to the text.

What /home must contain for AI visibility:

• A clear statement of what the company does (one sentence)
• Who the product or service is for (target audience)
• Main offering categories (links to /products or /catalog)
• Trust signals: number of clients, years in business, key partners
• Organization schema markup with complete details

The typical mistake: /home filled with marketing slogans and animated banners with minimal text. AI reads text, not banners.

/products: Structure for Comparison

Product and service pages matter in verticals where AI answers comparative queries. Logistics, automotive, real estate — wherever a user asks "which option suits my task."

For AI-optimized /products pages:

• Structured description of each product or service parameter
• Comparison tables of different options
• Specific use cases ("best if...")
• Product or Service schema markup with pricing and specifications
• Answers to typical buyer questions directly on the page

Russian Market Specifics: /catalog Instead of /products and Other Differences

AthenaHQ data is based primarily on the Western market. The Russian market has structural features that change how these findings apply.

The absence of /products pages at most Russian e-commerce brands. Marketplaces and online stores in Russia are traditionally built around /catalog — an endless structure of categories and product cards. Dedicated /products pages in the Western sense (a landing page for a specific product or service) are very rare.

For the Russian market this means: the role that /products plays in AthenaHQ data is distributed here across /catalog, /category, and product cards. These are the sections that need optimization.

"Blog-as-entertainment-hub" at some Russian brands. Some companies run their blog as an entertainment hub — viral content, infotainment, employee stories. AI almost never cites this kind of content. In the Russian context, /blog with high AI citation rates means expert content: research, how-to guides, case study breakdowns.

Yandex and Russian internet specifics. Yandex Search with Alice (one of the 10 providers monitored in GEO Scout) indexes Russian-language content particularly well. For Yandex AI, correct structured snippet markup and Yandex.Webmaster setup matters. Entry Path patterns here may differ from Western data.

No /blog means no chance in B2B. Many Russian B2B companies do not maintain a blog at all, or publish one or two articles per quarter. Based on data for Technology, Industry, and Fintech verticals, this means near-zero AI presence through the main channel — while competitors from other markets actively occupy that space.

Checklist: Entry Path Strategy by Business Type

Use the checklist that matches your vertical:

If you are in Technology, Fintech, B2B SaaS, or Industry:

• Blog publishes at least 4 expert pieces per month with data and research
• Each article has Article or FAQPage schema markup
• Articles answer specific audience questions, not "keywords"
• /home contains a clear product description and target audience (without excessive marketing)
• Monitoring in GEO Scout shows which /blog URLs AI actually cites

If you are in Retail, E-Commerce, or FMCG:

• /home contains structured text: who you are, what you offer, for whom
• Organization schema markup on the homepage is fully complete
• /catalog and category pages have unique descriptions (not templated, generated text)
• A blog exists but is not the sole priority — /home is optimized first
• Check in GEO Scout: through which URL does AI most often "enter" your brand

If you are in Logistics, Transport, or Automotive:

• /home describes specific services or products with parameters, not just "about the company"
• Individual service pages (/products or /services) are structured: parameters, terms, scenarios
• Service or Product schema markup is applied to all product pages
• /blog exists, but it is not your main GEO channel
• Entry Path audit via GEO Scout: confirm AI can see your product pages

If you are in Healthcare, Real Estate, or Hospitality:

• Balance between /blog (expertise, trust) and /home (offering, accessibility)
• Pages for specific services, properties, and specialists are structured and marked up
• LocalBusiness, MedicalOrganization, or LodgingBusiness schema is applied
• Entry Path monitoring by provider: Yandex and Gemini may have different page type preferences

Conclusion: Entry Path Is a Strategic Choice, Not an Accident

Neural networks do not choose Entry Paths randomly. They read pages that best answer the user's query and contain structured, credible information. Your task is to understand which page type AI prefers in your vertical — and make that section of your site as "readable" as possible for neural networks.

AthenaHQ data makes one thing clear: there is no universal Entry Path strategy. /blog works for B2B and research-heavy verticals. /home works for consumer-oriented ones. /products works where AI answers comparative queries.

If you do not know which page AI currently uses to enter your brand, GEO Scout shows this in real time across all 10 AI providers — broken down by URL and vertical.