How to Run a GEO / AEO Audit in 5 Steps (With Examples)

Run a GEO / AEO audit in five steps: from picking URLs to fixing schema and re-running your free GEO audit tool.

Citable benchmarks

Average ecommerce conversion rate is often ~2–3% (varies widely by industry and traffic mix).

Source: IRP Commerce — Ecommerce Market Data (Jan 2026)

Average ecommerce cart abandonment rate is 70.19%.

Source: Baymard Institute — Cart Abandonment Rate Statistics (2024)

On this topic: GEO checklist, GEO ebook, GEO ebook · What Is a GEO Audit? (Generative Engine Optimisation & AI Overview Basics), Free GEO Audit vs Paid: When a Free AEO Checker Is Enough

This walkthrough pairs with Growthegy's GEO audit checklist so you can go from URL list to fixes without guesswork. Targets queries like geo audit tool and aeo checking tool by shipping improvements systematically. According to BrightEdge Research (2025), brands that run structured GEO audits on a defined cadence see 2.4x more AI Overview impressions after 90 days compared to brands that make ad-hoc content changes without a framework.

Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) are disciplines focused on making your content machine-readable, quotable, and trustworthy enough for AI systems — including Google's AI Overviews, Perplexity, and ChatGPT — to cite. A GEO audit evaluates your pages against the criteria these systems use to select and summarize content. This five-step process gives you a repeatable workflow you can apply to any URL in under two hours.

Step 1: Pick Priority URLs

The principle: Start with money pages — homepage, top product or service URLs, and content that should rank for high-intent queries.

Not all pages are equally valuable targets for a GEO audit. Your time is limited; apply it where AI-driven traffic has the highest revenue impact. Use this prioritization framework:

1. Export your top 20 organic landing pages from Google Analytics 4. Sort by sessions or goal completions. These pages already receive traffic — improving their AI citability compounds on existing momentum.
2. Identify which of these pages target informational queries. AI Overviews appear most often on informational and navigational queries, not transactional ones. Pages that answer "what is," "how to," or "best [product] for [use case]" are prime GEO targets.
3. Add your highest-converting product and category pages. Even transactional pages benefit from GEO improvements when users ask comparison or consideration queries ("best noise-canceling headphones under $200").
4. Cap your first audit at 5–10 URLs. It is better to fully fix five pages than to audit fifty and fix none. Quality of implementation matters more than volume of audits.

Example URL priority list for a DTC fitness brand: (1) Homepage, (2) /resistance-bands/ category page, (3) /blog/how-to-use-resistance-bands/ guide, (4) /yoga-mats/ category page, (5) /blog/resistance-band-workout-beginners/ article.

Step 2: Run the GEO checklist on each URL

The principle: Work each URL through the same criteria every time so you can compare before/after honestly.

The GEO audit checklist lists 20 weighted factors aligned with how AI systems skim and cite pages. Mark pass/fail (or partially met) before you rewrite anything. Here is how to extract maximum value from each review:

1. Audit each URL separately. Do not mentally batch URLs — category pages typically fail different rows than guides or product pages.
2. Screenshot or export failures before edits. Your first pass is your baseline; you cannot prove improvement without it.
3. Triage failed rows into three buckets:
   • Quick wins (under 30 minutes): missing meta description, no answer-first paragraph, image alt text gaps
   • Medium effort (1–3 hours): FAQ section addition, content rewrite, internal link additions
   • Structural changes (developer required): schema implementation, canonical tag fixes, duplicate URL consolidation
4. Focus quick wins first. Implement all quick wins before picking up developer-heavy tasks—you should see materially fewer failed rows immediately.

Step 3: Fix Answer-First Content

The principle: Add a short definition paragraph, clear H2s, and factual bullets AI can cite.

This is consistently the highest-impact fix across every site type. AI systems extract the first semantically complete answer to the implied query on a page. If your page opens with a hero image, navigation, or marketing slogan, there is nothing to extract. The fix is straightforward: rewrite the opening paragraph to answer "what is this?" or "what does this do?" in two to three sentences.

Before (poor answer-first structure):"Welcome to our store. We are passionate about fitness. Explore our products today."

After (strong answer-first structure):"Resistance bands are elastic exercise tools used to add variable resistance to strength training movements. They are available in five resistance levels — extra light to extra heavy — and are suitable for home workouts, physical therapy, and mobility training. Unlike free weights, resistance bands provide accommodating resistance that increases as the band stretches."

Sub-steps for fixing answer-first content:

1. Write a two-to-three sentence definition of the page's primary topic that would make sense as a standalone answer if quoted by an AI.
2. Rewrite H2 headings to be descriptive questions or clear topic statements rather than vague marketing phrases.
3. Add a bulleted list of key facts, specifications, or steps where appropriate — AI extracts lists more reliably than prose.
4. Include at least one external citation with a source name and year for any factual claim.
5. Add a visible FAQ section with three to five questions sourced from Google's "People Also Ask" for your target query.

Step 4: Improve Structured Data

The principle: Add or fix JSON-LD (FAQ, Article, Product) that matches visible content.

Structured data tells AI systems — and Google — what type of content is on the page, who wrote it, what it describes, and how it is organized. Pages with accurate, complete JSON-LD are significantly more likely to appear in AI Overviews, rich results, and knowledge graph features. According to a 2024 Search Engine Journal analysis of 10,000 pages cited in AI Overviews, 78% had valid structured data compared to only 41% of non-cited pages in the same query set.

Schema implementation sub-steps:

1. Identify the correct schema type for each page:
   • Blog articles → Article or BlogPosting
   • Product pages → Product (with offers, aggregateRating)
   • How-to guides → HowTo (with named steps)
   • FAQ content → FAQPage (only when FAQs are visible on the page)
   • All pages → BreadcrumbList
2. Validate existing schema.Use Google's Rich Results Test to check current schema for errors and warnings before adding new markup.
3. Ensure schema mirrors visible content exactly. If your Product JSON-LD lists a price, it must match the price shown on the page. Schema that contradicts visible content is invalid.
4. Add FAQPage schema only for visible FAQ content. Hidden or collapsed-but-not-rendered FAQs do not qualify. The accordion must be in the DOM.
5. Re-validate after implementation. Run the Rich Results Test again after adding schema to confirm no new errors were introduced.

Step 5: Re-Run and Track

The principle: Re-run the audit after changes and monitor impressions for GEO-related queries in Search Console.

Measurement closes the loop and prevents regressions. After implementing fixes, re-run the GEO audit checklist on each modified URL. Confirm more rows pass — if nothing moved, revisit the failed criteria before tackling the next URL.

Tracking sub-steps:

1. Record before and after checklist pass counts in a spreadsheet with columns: URL, Criteria met (before), Date fixed, Criteria met (after), Delta.
2. Monitor Google Search Console weekly for changes in impressions and clicks on the audited URLs. Filter by "Search type: Web" and look for AI Overview-adjacent queries.
3. Check for crawl and indexing issuesafter schema additions using GSC's URL Inspection tool. Confirm the updated page has been crawled and indexed.
4. Set a 30-day re-audit reminder for each fixed URL. Algorithm updates, content edits, and CMS changes can introduce regressions. Monthly re-audits catch problems before they compound.
5. Expand the URL list each quarter. Once your priority URLs are consistently scoring 70+, add the next tier of pages to your audit cadence.

Putting It All Together: A Sample 2-Hour Audit Session

Here is a realistic time budget for a single URL using this five-step process:

• 5 minutes — Select the URL and note the current organic traffic and conversion rate
• 10 minutes — Run the free GEO audit, record the score, and triage recommendations
• 30 minutes — Rewrite the opening paragraph, revise H2 headings, and add a bullet list
• 45 minutes — Research and add three to five FAQ questions with answers
• 20 minutes — Add or fix JSON-LD schema and validate with Rich Results Test
• 10 minutes — Re-run the audit, record the new score, and update the tracking spreadsheet

Total: approximately 2 hours per URL. At this pace, a team of one can fully audit and fix 10–15 priority pages in a month. For a deeper reference on all 20 GEO factors to check, see the GEO audit checklist — 20 factors.