---
title: "SEO for AI: how to make your content easy to find, understand and cite"
description: "SEO for AI, AEO and GEO: verifiable content, indexing, structured data and measurement, without guarantees of citation."
canonical: https://i8.ro/en/blog/seo-for-ai-how-to-make-your-content-easy-to-find-understand-and-cite
---

# SEO for AI: how to make your content easy to find, understand and cite

> SEO for AI, AEO and GEO: verifiable content, indexing, structured data and measurement, without guarantees of citation.

Source: https://i8.ro/en/blog/seo-for-ai-how-to-make-your-content-easy-to-find-understand-and-cite

**Series II: From infrastructure to agentic projects in production. Episode 18 of 20.**

A client might discover your company through an AI-generated answer before visiting your website. The key question for an SME is whether public information can be found, understood and verified. The main decision: prioritize pages that answer real commercial questions and ensure technical access to them, then test additional optimizations.

We continue developing the fictional B2B portal for requests and documents. After the interface audit in the previous episode, we check how public content can be discovered. The example is a proposed scenario, not a client outcome or a promise of citation. A website usable by an agent does not automatically become a selected source in an AI response.

## SEO, AEO and GEO: what we track

SEO stands for Search Engine Optimization and means improving visibility on search engines. AEO stands for Answer Engine Optimization, and GEO for Generative Engine Optimization. These terms refer to visibility in answer-based and generative experiences. Their scope overlaps; they are not three technical certifications.

For the portal, we track three distinct outcomes: the page is accessible and eligible for indexing, it appears as a source or link in an observed experience, and the right visitor submits a request. Indexing means inclusion in a search index. Neither of the first two outcomes demonstrates commercial gain by itself.

## What Google requires and what has changed

Google's guidelines updated as of July 10, 2026 maintain the fundamentals of SEO: indexable pages, useful and accessible content, a clear technical structure. For eligibility in generative functions, the page must be indexed and eligible to appear with a descriptive snippet. There is no mandatory AI file or special schema.org markup. Eligibility does not guarantee appearance.

Check the 'Search generative AI' setting in Search Console as well. Google announced global availability of this control starting August 31, 2026. It allows inclusion or exclusion of the website from targeted generative features and can inherit the parent property's setting. This is separate from training model controls. Outdated recommendations should be checked against the current documentation before implementation.

## A public page worth reading

In our scenario, we pick the 'Requests and documents for partners' service page. It explains who the portal is for, what requests are accepted, the required documents, steps and service limitations. Unconfirmed contractual information is not completed with assumptions. Documents uploaded by clients and individual requests remain private.

Answer the real questions received by the commercial team directly, then explain the conditions. An anonymous example, clearly labeled as such, and a precise list of documents help more than repeating the phrase 'innovative solution'. Use descriptive headings and internal links to supporting information. Avoid nearly identical pages created for each variation of the same question.

State clearly who is responsible for the content and when it was last revised. Google’s guidelines for helpful content recommend accurate author information and original contribution. The agent building the portal can help verify structure; the agent integrated in the application can summarize private requests. Neither replaces editorial review of the public page.

## Crawler access does not replace security

A crawler is a program that explores pages. The robots.txt file provides access rules, but it is not authentication and does not protect confidential documents. Google specifies that an address blocked from crawling can still appear in the index if discovered through other links. Exploration, indexing and access authorization should be treated separately.

Check whether infrastructure or anti-abuse protections are accidentally blocking crawlers on public pages. Do not disable the entire portal's protections for this purpose. OpenAI documents OAI-SearchBot, used for search, and GPTBot, used for content that may be used for training, separately. These decisions are independent. Allowing a crawler does not guarantee citation, and one provider's rules do not describe all AI systems.

## Structured data that describes reality

Structured data are pieces of information organized in a machine-readable format. schema.org provides a vocabulary for describing entities, and JSON-LD is a representation format. They can, as appropriate, describe the organization and the article without adding claims that do not exist on the page.

Google requires consistency with visible information and bans deceptive markup, such as invented reviews. Passing a technical test does not guarantee display of a rich result. For the portal, verify the organization name, author and publication dates in relation to the actual page. Do not create a fictitious rating to obtain a more attractive presentation.

## llms.txt: a useful experiment in certain contexts

The llms.txt proposal, version 2 as of August 10, 2026, describes a Markdown file with an introduction and links to content suitable for agents. Markdown is a plain-text format with simple structure for headings, lists and links. The proposal may be relevant for documentation or tools that explicitly use it.

However, Google’s guidelines specify that Google Search ignores these files for visibility and ranking. Do not present llms.txt as a ticket to appear in AI answers. In our portal scenario, we can test it as an index of public documentation, with someone responsible for updating and verifying the links. Do not include private documents and do not replace pages intended for people.

The GEO academic paper, accepted at KDD 2024, evaluates methods and metrics for visibility in generative answers. The authors specify that methods may need adaptation as systems evolve. The experiment's results do not justify a forecast of traffic or sales for an SME in 2026.

## Measure visibility and requests separately

Search Console documentation announces the 'Generative AI performance' report for AI Overviews and AI Mode impressions as of August 31, 2026. The report may be missing if the website does not have enough impressions. Do not confuse an impression with a click or a request.

On February 10, 2026, Bing introduced the AI Performance report with citations and cited pages in supported experiences. The aggregated indicators do not represent a ranking or a universal measure of authority. Each report should only be compared within its coverage limits.

For the portal, we suggest a simple monthly sheet:

- **Page and question:** what real need it addresses and what version we analyze.
- **Access and eligibility:** technical checks, control date and any blockages.
- **Observed visibility:** report source, period, impressions or citations, with metrics kept separate.
- **Commercial outcome:** relevant requests and the observable path to them.
- **Decision:** what information we correct, who is responsible and when we recheck.

For manual tests, note the question, service used and date. A single answer does not prove a trend. Keep the attribution unknown when you cannot demonstrate it: a citation can exist without a visit, and a request can have multiple sources. The next episode will cover the cost and speed of inference after we have content and clear objectives.

## Sources

Documentation verified as of October 19, 2026. The portal example and worksheet are proposals, not measured results. The GEO study is a research reference from 2024.

- [Google: optimization for generative AI features in Search](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide)
- [Search Console: participation controls for generative AI features](https://support.google.com/webmasters/answer/16908024)
- [Search Console: Generative AI performance report](https://support.google.com/webmasters/answer/16984139)
- [Google: helpful content and author information](https://developers.google.com/search/docs/fundamentals/creating-helpful-content)
- [Google: structured data guidelines](https://developers.google.com/search/docs/appearance/structured-data/sd-policies)
- [Google: the role and limits of robots.txt](https://developers.google.com/search/docs/crawling-indexing/robots/intro)
- [OpenAI: crawler documentation](https://developers.openai.com/api/docs/bots)
- [llms.txt: the proposal, version 2](https://llmstxt.org/)
- [Aggarwal et al.: GEO, version dated June 28, 2024](https://arxiv.org/abs/2311.09735v3)
- [Bing: AI Performance announcement on February 10, 2026](https://blogs.bing.com/webmaster/2026/2/Introducing-AI-Performance-in-Bing-Webmaster-Tools-Public-Preview/)