Google AI Mode SEO Audit: How to Find and Prioritize the Opportunities That Matter

What an AI Mode audit is for

A standard SEO audit asks whether pages rank. A Google AI Mode SEO audit asks a different question: when a buyer describes their need to AI Mode, the conversational experience in Google Search, is your brand part of the answer, are the facts about you right, and do the linked pages belong to you or to someone else?

Because AI Mode uses query fan-out, splitting a question into related sub-searches, an audit also has to check coverage: whether your site answers the subtopics a question implies. And since Google states that AI features need no special markup or file, the audit does not hunt for AI-specific tags. It looks for the coverage, accuracy and technical gaps that make a brand harder to include.

The output should not be a long list of observations. It should be a short, ranked list of prioritized opportunities with an owner and a way to verify each fix.

Step one: build a question set that reflects real buying

Start with 20 to 50 questions drawn from sales calls, support tickets, site search and your Search Console queries. Write them the way buyers speak to AI Mode: longer, with constraints such as country, budget or use case. Group them by funnel stage and by product line. Include a few questions where you expect to lose, such as comparisons with the category leader; they show where competitors are suggested instead of you and often point to the clearest opportunities.

For each question, record what AI Mode answers today: which brands are named, in what order, which pages are linked and whether facts about you are correct. This becomes your baseline. Run it with independent AI-search tracking so it can be repeated identically each month; one-off manual checks are hard to compare.

Step two: check fan-out coverage and fact accuracy

Google does not publish the sub-searches AI Mode runs, so the audit works from logic. For each question, list the facts a careful buyer would need, then check whether your site answers each one on a clear, crawlable page. Gaps go on the opportunity list.

Next, compare the facts AI Mode states about you with your own pages and with the third-party sources it links. Wrong prices, outdated features and incorrect availability are often the most valuable fixes, because they actively steer buyers away.

• Missing subtopic page or section.
• Fact stated wrongly in AI answers.
• Fact correct on your site but wrong on a linked third-party page.

Record the source of every error so the fix lands in the right place.

Step three: confirm technical eligibility

Before investing in content, confirm that your priority pages can be shown at all. Google's requirements for AI features are those of Search: the page must be indexed, crawlable by Googlebot and eligible to show a snippet. Check robots.txt and CDN or firewall rules, noindex tags, canonicals and rendering in URL Inspection.

Review preview controls too. nosnippet, data-nosnippet and max-snippet limit what Google can show, including in AI features, and are sometimes left on templates by accident. Blocking Google-Extended is not a Search control: it governs Gemini training and grounding, not inclusion in AI Mode or AI Overviews. Finally, confirm that structured data matches visible content.

Worked example: prioritizing a forex broker's audit findings

Imagine an audit for a forex broker targeting Saudi Arabia and the UAE, built on 30 buyer questions. The findings, illustrative rather than from a real client, might include: AI Mode quotes an outdated minimum deposit taken from a comparison site; the broker has no page explaining its Islamic account terms; a firewall rule challenges some Googlebot requests to the account-types page; and competitors are named for gold-trading questions where the broker has no dedicated content.

Scored on business value, gap size, effort and confidence, the firewall fix ranks first: high value, low effort, high confidence. The Islamic account page ranks second as a coverage gap. Correcting the comparison site's figure ranks third, since it depends on a third party. The gold-trading content ranks fourth because it needs research and time. Licensing statements across all new pages name the entity and its authorization by the local regulator, with no implied endorsement.

What Suggesting.ai delivers in the audit

Suggesting.ai's first audit is free and delivered in 48 hours. It covers your buyer questions across Google AI Mode, AI Overviews, ChatGPT, Perplexity, Gemini and Copilot, the competitors suggested in your place, fact errors with their sources, technical blockers and a ranked opportunity list.

If you continue with us, the organic GEO programme works through that list in order, and where your category is eligible, we add ChatGPT Ads management; financial services outside the US are generally restricted by OpenAI's ad policy, so eligibility is part of the audit. GEO plus ads starts from €12,000 a month plus 15% of ad spend. The aim is simple: when AI is suggesting options, your brand should be one of them.

Turning the audit into a measurement baseline

An audit is most useful as the first data point in a series. Re-run the same question set monthly and track the share of questions where you are named, where your pages are linked and where facts are correct.

In Search Console, AI Mode clicks and impressions are part of the standard Web performance data, with no separate filter. Track the pages changed by each opportunity as a group, and connect them to conversions in analytics, so every completed fix can be judged by results rather than by activity.