AI Search Optimisation in 2026: What Google Actually Recommends

01

AI search still starts with Google's index

AI Overviews and AI Mode have created a small industry of new acronyms, special files and promises about making websites easier for generative systems to quote. Google's own guidance is much calmer.

For Google Search, optimising for generative AI features is still SEO. The work begins with useful content, a crawlable website and a clear reason for somebody to trust the page. There are new ways to measure visibility, but there is not a second internet to optimise for.

Google describes its generative search features as being connected to its existing Search ranking and quality systems. One method is retrieval-augmented generation, usually shortened to RAG. The system retrieves relevant pages from the Search index and uses them to ground an answer, which can then show links to the supporting pages.

Google also describes query fan-out. The model may create several related searches to understand a broader question. That does not mean a business needs one page for every possible variation. Google says its systems can understand related meanings without an exact keyword match.

The first technical requirement remains familiar: the page must be publicly accessible, crawlable, indexed and eligible to appear in Search with a snippet. Fashionable AI terminology cannot rescue a page Google cannot reliably reach.

02

A useful page needs something worth retrieving

The strongest point in Google's guide is not technical. It is about making non-commodity content.

Commodity content repeats information that could have come from almost anywhere. It may be tidy and accurate, but it adds little. A generic list assembled from the first five search results is easy for a reader, competitor or AI model to replace.

Non-commodity content brings something specific: first-hand use of a product or process, original research or measurements, a clear expert opinion, an honest comparison, a worked example, or a useful limitation other summaries miss.

Imagine a commercial maintenance company explaining how it moved engineers from paper job sheets to a customer portal. A generic article might list the benefits of digital transformation. The stronger page would show the old handover, the information that went missing, the permission decisions, the rollout order and what the team deliberately left manual.

That page is useful because the business knows something the rest of the internet does not. AI can help organise the material, but it cannot invent authentic evidence without turning the article into fiction.

03

The AI optimisation checklist is mostly a quality checklist

Google's advice can be translated into a straightforward website review. A sound content process is less exciting than a secret AI markup file, but it is also less likely to become obsolete next month.

04

Make the technical foundation boring and dependable

Generative search still depends on Google being able to find and understand the website. Important pages should return a successful response, avoid blocking rules, use the intended canonical URL and appear in an accurate XML sitemap.

Internal links should connect related pages with meaningful link text. The important content must still appear when Google renders a JavaScript website, and the mobile page should not bury its answer under intrusive elements.

Semantic HTML helps people using screen readers and can make a page easier for tools to navigate. Clear headings and meaningful elements are worth having, but perfect markup should not displace useful work.

Structured data remains useful when it accurately describes eligible content and supports established Search features. Google is explicit that there is no special schema required for its generative AI features.

05

What Google says you do not need

Google says it does not use llms.txt or other special AI text files for Search. Keeping one for another service is fine, but it will neither improve nor harm visibility in Google Search.

There is no requirement to break an article into miniature answers. Headings help readers scan and keep a longer explanation organised. The problem starts when writing becomes so fragmented that it is awkward for a person to follow.

A business does not need a separate writing style for AI. Google says its systems understand synonyms and the general meaning behind a query. Use the language customers use, explain specialist terms and answer the question clearly.

There is no dedicated schema.org markup required for Google's AI search features. More markup is not the same as more authority.

Google can use information found across the web, but that does not make manufactured citations, paid noise or fake conversations sensible. Real reputation grows through useful work that other people have a reason to mention.

06

AI-assisted content is allowed, but the value still matters

Google does not ban content because AI helped create it. Its guidance focuses on accuracy, quality, relevance and the reason the content exists.

AI can support research, early structure, transcription, editing and finding gaps in a draft. It can also produce hundreds of plausible pages before lunch. Using automation to create many pages without adding value may fall under Google's scaled content abuse policy.

A responsible workflow starts with a topic connected to the organisation's real work, gathers evidence before drafting, checks factual claims against reliable sources and adds the judgement or boundary that makes the page worth reading.

When readers would reasonably wonder how automated content was produced, Google suggests giving them useful context. The explanation should help trust, not become a badge pasted on every paragraph.

07

Local and ecommerce information still deserves its own work

For local businesses and online shops, visibility is not limited to articles. Google points website owners towards accurate Business Profile information and, for ecommerce, Merchant Center data and product feeds.

A service business may gain more from correcting its opening hours, service area, address and category than from publishing another broad article. A retailer may need cleaner product availability and pricing data before it needs a thought-leadership campaign.

The right work depends on how the customer completes the next step.

08

Measure AI visibility without pretending it is revenue

Google Search Console now includes a generative AI performance report for Search. Google says it was rolled out worldwide by 31 August 2026, although a property may not show data when it has not received enough impressions or is excluded from the relevant features.

The report includes impressions from AI Overviews and AI Mode. It can group data by page, country, date and device, helping a team see which content is being surfaced and how that changes over time.

An impression means a link to the site was shown. It does not mean the visitor clicked, read, enquired or bought. Review Search Console alongside website analytics, enquiry quality and commercial outcomes.

Avoid tools claiming access to secret Google AI metrics. Google says outside tools do not have access to its internal ranking or AI systems. Use a tool when it improves the workflow, not because its dashboard makes an unknowable score look official.

09

A focused audit beats an AI SEO shopping list

For most established business websites, the next step is a short evidence-led audit.

Find the pages closest to real customer decisions. Check that each has a clear audience, purpose and next step. Remove unsupported filler, add first-hand evidence and merge overlapping pages that compete without helping different readers.

Then verify crawling, indexing, canonical URLs, internal links and mobile presentation. Improve images or demonstrations where they explain the subject, check local or product data where relevant, and measure Search, AI visibility and on-site behaviour together.

This may create fewer pages. That is not a failure. A smaller group of specific, well-maintained pages can represent the business more accurately than a large archive of interchangeable advice.

10

Build pages people would still value without Google

Google's generative search guidance does not make SEO irrelevant. It makes weak SEO harder to disguise.

The page still needs to be discoverable and technically clear. Structured data, metadata, sitemaps and internal links still have jobs. But the part most likely to separate one business from another is the information that could not have come from anybody else.

Start with what the organisation has genuinely learned. Explain it clearly. Show the evidence. Make the page easy to access and maintain. Then use Search Console to see where it earns visibility.

If the page would help the intended customer even if Google disappeared tomorrow, it has a much better chance of being worth retrieving today.