A Nine-Point GEO Audit Checklist — Split On-Site From Off-Site

Search behavior is shifting fast. In August 2026, Google's app overtook the incumbent Korean portal in monthly active users to become the top productivity app, with ChatGPT's app climbing to seventh in the same category. Gemini's spread and stronger AI search are the cited drivers.

Which means more marketers now have to explain to leadership where their company actually stands. The problem is having no framework to describe that state. Here is where a GEO audit starts.

Settle the Definitions First

Is GEO a separate discipline from SEO?

GEO stands for Generative Engine Optimization — preparing your brand and content so that ChatGPT, Gemini, Perplexity, and Copilot can understand and reference them when composing answers.

Treating GEO as wholly separate from SEO creates confusion. Google Search Central states there are no special optimization requirements for appearing in AI features, and that existing SEO best practices still apply: crawlable pages, helpful human-readable content, important information provided as text, and structured data that matches the page.

Does good SEO produce GEO automatically?

No. SEO is the foundation that lets search engines find and evaluate a page. GEO is the layer above it that helps generative AI understand what problem your brand solves, in what context it can be trusted, and which questions it is a candidate answer for.

If you have service pages but no FAQ capturing what customers actually ask, AI has no material to draw from. If you publish heavily but your brand description, case studies, and external mentions all use different phrasing, AI cannot resolve you into a consistent entity.

Four On-Site Checks

On-site covers assets you control directly: website, service pages, blog, FAQ, case studies, schema, metadata. You have the permissions, so improvements compound immediately.

1. AI accessibility

Great content is useless if crawlers cannot reach it or the substance sits behind JavaScript.

• Does robots.txt unnecessarily block major search and AI crawlers?
• Is core content trapped behind logins, popups, or text baked into images?
• Are service descriptions, pricing, FAQs, and case studies readable as HTML text?
• Are key pages discoverable through sitemap and internal links?

A 41-day experiment showing JavaScript links are invisible to AI search demonstrates why this ranks first. Technical polish matters less than whether the important information is legible on the open web.

2. Structured data

A June 2026 GEO roadmap report analyzing 548 Korean companies found that 53% of corporate websites had implemented no schema markup at all.

• Does Organization schema carry company name, URL, logo, contact, and social profiles?
• Does FAQPage schema match the questions and answers actually on the page?
• Does Product or Service schema align with the page's visible text?
• Is Article or BlogPosting schema applied to editorial pages?
• Does BreadcrumbList express page hierarchy?

One caution: wrong schema is more dangerous than no schema. Declaring reviews, prices, or features that do not appear on the page — or FAQ content that diverges from the body — damages trust. The standard is not "add more," it is "match what is visible."

3. Metadata and heading structure

AI needs the same navigational cues a reader does.

• Does each page have exactly one H1 that clearly states its topic?
• Do H2 and H3 form a logical hierarchy?
• Do focus keywords appear naturally in title, headings, and body?
• Is every meta description unique to its page?

"Solutions" as an H1 is weaker than "Customer Onboarding Automation for B2B SaaS Companies," which surfaces both target and problem. Clarity outranks cleverness here.

4. Content structure

Content that AI cites easily has clear question-answer pairs. Splitting by the questions people actually ask beats one long document mixing everything.

• Is there a summary or conclusion near the top?
• Does a short, direct answer follow each question-form H2/H3?
• Are key pages internally linked?
• Do you use citable formats — definitions, comparisons, checklists, FAQs, cases?
• Does each claim sit next to a source, a number, or a customer example?

Read alongside four technical SEO fundamentals for AI search to complete the on-site scope.

Four Off-Site Checks

Off-site covers trust signals formed outside your control. You cannot dictate them, but they are what lets AI corroborate your claims against third parties.

5. Knowledge graph and brand entity

A brand entity is the bundle of information that lets AI resolve your company into one distinct thing: company name, leadership, service names, industry, address, contact, social channels — all consistent with each other.

• Are Google and Bing Business Profiles populated?
• Do descriptions on recruiting platforms and LinkedIn diverge significantly from each other?
• Are company, service, and executive names used consistently across the web?
• Are key people and authors linked to the content they produce?

This does not mean every company needs a wiki entry. It means AI should recognize the same company in the same context wherever it appears.

6. Reviews and customer trust signals

AI does not rely only on what a brand says about itself.

• Are reviews accumulating on channels appropriate to your category?
• Are case studies organized around problem, process, and result?
• Are inaccurate or outdated reviews and descriptions being left unattended?

B2B firms often have few public reviews. The thinner the external signal, the more specific your on-site case studies, interviews, and before-and-after evidence need to be.

7. Community and social mentions

• Is your brand or category discussed where your buyers gather?
• Are questions and reviews actively managed rather than abandoned?
• Does your LinkedIn page accumulate genuine company perspective and expertise?
• Do social profile descriptions match your website messaging?

For B2B, prioritize LinkedIn and YouTube. Generative AI favors both as sources and weighs person-attached content signals when assessing domain expertise.

8. PR and press coverage

The same report found that roughly 70% of the 548 companies had at least one press mention — but only 36% of those mentions carried positive context.

• Any press release or external coverage in the last 12 months?
• Coverage in trade publications, not only general outlets?
• Does the company description in coverage match current website messaging?
• Is there a prepared landing page for traffic arriving from those articles?

Volume matters less than message, context, and outlet. The entity sharpens when the message in coverage carries through to your website, blog, and case studies.

The Last One: Measurement

9. Performance tracking

Screenshotting an AI answer that names you is not a measurement system.

• Does GA4 separate ChatGPT, Perplexity, and Gemini as traffic sources?
• Where do AI-referred users land, and what do they do next?
• Are brand-mention prompts tracked on a regular cadence?
• Are conversion events — inquiry, download, demo request — configured?

Generative AI vendors do not publish underlying mention or citation data. The workable structure is directional tracking through a GEO monitoring tool, paired with actual traffic and conversion measurement in GA4.

How to Use This

Trying to complete all nine at once guarantees you never start. Use it to locate the empty areas and set priority. Start on-site because you have the permissions; run off-site in parallel because it takes longer.

And remember that being mentioned is not being cited. Appearing by name and being used as evidence are different outcomes requiring different preparation.