If someone asks, “Should we stop doing SEO and start doing AEO?”, my first question is: what problem are we trying to solve? A change of acronym will not make a weak page useful. It can, however, prompt a worthwhile review of how your business is found when search results include AI-generated answers.

Here is the practical distinction. SEO is the work of making useful pages discoverable in search. AEO (answer engine optimization) and GEO (generative engine optimization) are names people use for work aimed at visibility in AI answers. The labels overlap. Google describes optimization for its generative search features as part of SEO, because those features draw on its core Search systems. ChatGPT search is a separate product with its own crawler controls. One dashboard cannot measure both.
So I would keep the SEO foundation, then add two habits: make important answers easier for a human to verify, and measure each search surface honestly.
Start with an answer worth citing
A generic page that repeats ten familiar tips gives an answer system little reason to point to your business. The useful addition is evidence or experience that only you can supply: the decision you made, the tradeoff you saw, or the mistake that changed your process. Share only details you have permission to publish.
Consider a hypothetical article about partner enablement. “Align stakeholders and communicate often” could appear on any site. A more useful version could show a simple handoff: the partnership owner introduces a prospect, the sales owner confirms receipt, and both review stalled introductions each week. It could explain which step to measure without naming a partner or disclosing private results. The same specificity helps an AI system understand why the page might be a useful source. It does not guarantee a citation.
This is the editorial work behind AEO: answer the question directly, then show how you know. Use headings and examples because readers benefit from them. There is no requirement to chop every paragraph into artificial “AI-friendly” fragments. Google's guidance for generative search emphasizes unique, valuable content and clear organization.
Make the page accessible before buying a new tactic
For Google's generative search features, the page must be indexed and eligible to appear in Search with a snippet. Check that your important pages can be crawled, that their main content is accessible, and that duplicate URLs are under control. A clear title, useful internal links, and a page that works on a phone still matter.
If ChatGPT search is important to your business, review your robots.txt and security rules for OAI-SearchBot. OpenAI identifies it as the crawler used for ChatGPT search results. Its GPTBot setting addresses training and is separate. Allowing the search crawler makes the site eligible to be found there; it does not promise placement.
These checks are a better first investment than buying a new “AI optimization” package. Google's current guidance says its Search features do not use llms.txt as a special visibility signal, do not require special AI schema, and do not require content “chunking.” Structured data can still help with the rich results it was designed for.
Measure Google AI visibility as Google AI visibility

Google Search Console now has a Generative AI performance report. It can show impressions for your pages in Google's generative AI features, including changes over time and differences by page, device, or country. An impression is an exposure signal. It is not proof that someone read your page, visited your site, or became a customer.
Google also announced a multimodal search type filter on September 24, 2026. It covers image-based searches such as Lens, Circle to Search, image uploads, and “Search this image.” The filter appears in Search results performance and the Generative AI report as the feature rolls out. If your business depends on visual discovery, this is worth checking. If your site receives no such traffic, a blank filter is not a reason to manufacture a visual content program.
Neither report tells you whether ChatGPT cited your site. For that, inspect referral traffic where it is identifiable, keep a small record of relevant answer examples, and compare those observations with actual enquiries. Treat any third-party “AI visibility score” as a sample with a method, not an official ranking metric.
Use a simple monthly review
For a small site, I would start with five questions:
- Which existing pages already receive Search impressions for questions your buyers ask?
- Which of those pages appear in Google's Generative AI report, and is the trend persistent beyond a few impressions?
- Do the pages answer the question with a clear example or evidence?
- Can Google crawl and index them, and can ChatGPT's search crawler access them if you want that channel?
- Did any visibility turn into useful visits, enquiries, or conversations?
Choose one page to improve before creating another near duplicate. Add the missing example, clarify the answer, and link it to related material. Record what changed and review again after enough time has passed to see a pattern. On a small site, a handful of impressions can swing sharply; do not call every week-over-week increase a trend.
The decision
Use “AEO” or “GEO” if those terms help your team describe the job. The job itself is straightforward: publish information your audience can use, make it accessible, and measure the channels separately. A page that earns trust because it contains real experience has a stronger reason to be found than one written to satisfy an invented AI checklist.
If you need to establish the technical baseline, start with a free SEO audit. For the wider content plan, read my SEO strategy guide. This article is the narrower operating guide for AI answer visibility and measurement.
