Learning how to conduct a GEO audit comes down to one method: run the questions your buyers actually ask through ChatGPT, Perplexity, Gemini, Claude, Copilot and Google AI Overviews. Then record where your brand appears, what the AI generated answers say, and which sources they cite. This guide covers eight checks and a closing checklist.
Key Takeaways
- A GEO audit shows how AI assistants mention, describe and cite your brand for buyer questions.
- Build the prompt set from real buyer questions found in forums, reviews and social threads.
- Report visibility and share of voice per engine, because one blended score hides the gaps.
- Citation analysis shows whether owned, competitor or third-party sources shape each answer.
- Product detail pages, markets and languages each need their own checks, beyond your homepage.
What is a GEO Audit?
A GEO audit is a structured check of how AI assistants mention, describe and cite your brand in AI generated answers about your category. It is also called an AI search audit or an AI visibility audit. Generative engine optimization (GEO) is the practice of improving that presence, and the audit is its starting point.
It answers four questions: do you appear, is the description accurate, which sources support it, and who gets recommended instead? The output is a baseline you can re-measure, plus a ranked fix list for your wider AI search visibility program.
It is not a traditional SEO check. An SEO audit measures how pages rank in search engines, while this audit measures citation readiness: what AI systems say, which brands they mention and which pages they cite. Mentions matter more than keyword positions, though strong traditional SEO still helps by giving AI tools trusted, indexed pages to draw from. See how a GEO audit differs from an SEO audit.
Why Should Your Organization Run a GEO Audit?
Your organization needs this audit because buyers now ask generative AI tools for shortlists before they visit your website, and those shortlists may not include you. What AI says about your brand also shapes how buyers see you before they reach your site. Without measurement, three problems stay hidden:
- Competitors get recommended for your highest-value questions.
- AI models repeat outdated facts, such as a discontinued product.
- Negative sentiment from old reviews shapes how your brand is framed.
The audit gives you a clear picture of where your brand stands, engine by engine, and of the sources behind each answer. That is the real value: citations are the lever you can change, through your own pages and third-party mentions.
What Do You Need Before You Start a GEO Audit?
Fix the scope first, so results stay comparable over time:
- AI platforms: the engines your buyers use, such as ChatGPT, Perplexity, Gemini, Claude, Copilot and Google’s AI Overviews.
- Markets and languages: every country and language you sell in.
- Competitors: three to five named rivals per market.
- Prompt sources: forums, reviews and sales calls, so you test specific prompts buyers use.
- A log: one sheet or tool with prompt, engine, date, mention, position, sentiment and cited URLs.
- Tool setup: if you use GEO tools, enter your brand details, competitors and priority prompts first.
- An owner: one person accountable for the method.
How to Conduct a GEO Audit in 8 Steps:
These steps follow the eight dimensions of a complete GEO audit process, so commerce and market checks don’t get skipped. Each reuses the prompt set and log from Step 1.
Step 1: Map the Questions Your Buyers Actually Ask AI
Build a query universe: the full set of actual questions buyers ask AI about your category. Keyword tools miss many of these, because conversational prompts are longer and more specific. Pull them from Reddit threads, reviews, social comments and support tickets.
Group prompts by buying stage. Discovery: “What should I look for in family travel insurance?” Comparison: “Brand A vs Brand B for frequent travelers.” Decision: “Is Brand A’s claims process reliable?” Mix branded and non-branded prompts, and give extra weight to high-intent queries.
What good looks like: every product line and funnel stage has prompts, none written to flatter your brand.
Step 2: Measure Visibility and Share of Voice on Each AI Engine
Run every prompt on every engine and record whether your brand appears, its position, and which rivals appear with it. Mention rate is the share of prompts where you show up. Share of voice is your mentions as a share of all brand mentions.
Report each engine separately. A brand can lead in Perplexity and be absent from AI Overviews, and an averaged AI visibility score hides that. Run each prompt more than once, because AI generated answers vary between sessions.
Then track the trend: is visibility rising or falling, and are you watching the right rivals? Compare the prompts where you already appear week over week, because a drop there is the earliest warning sign.
What good looks like: a per-engine table of mention rate and share of voice for you and each rival.
Step 3: Trace Which Sources AI Engines Cite
Citation analysis shows which pages and domains each engine uses to build its answer. Log every cited URL and sort it into one of three groups:
| Source type | Example | What it tells you | Typical fix |
|---|---|---|---|
| Owned | Your product or help pages | Which pages AI trusts | Expand cited pages; restructure ignored ones |
| Competitor-driven | A rival’s “X vs Y” page | Rivals frame your category | Publish fact-based comparison pages |
| Third-party | Publisher sites, review platforms, forums, directory listings | The independent view AI relies on | Digital PR, review programs, accurate listings |
Track your citation rate, the share of answers that cite your own website, separately from mention rate. Mentions alone don’t show citation influence: competitors’ pages may supply the facts. Brands with a strong citation presence tend to appear more often, so this list doubles as your outreach list.
Step 4: Read How Each Engine Frames Your Brand
Sentiment shows whether AI models present you positively, neutrally or negatively, but wording matters more than the label. Record the exact phrases each engine uses about your brand today, such as “affordable but limited” or “good for beginners.”
Then log every wrong fact or outdated claim and trace it to its source. Generative AI repeats what it reads, so one stale review can shape how buyers see you.
Next, check consistency. AI models build their picture of you from your website, LinkedIn, business directories, review sites and press coverage. If these describe you differently, engines get mixed signals and answers turn vague or wrong. Keep one consistent brand summary everywhere.
What good looks like: no factual errors, and entity clarity: every engine knows exactly what you are and what you sell.
Step 5: Find Which Content Types Earn Citations
Check which formats AI answers cite in your category: guides, comparison pages, reviews, news, product detail pages or blog posts. A mismatch between cited formats and what you publish explains part of the gap.
Then test priority pages for extractability. AI engines quote passages, not whole pages, so each H2 section should work as a standalone, citable unit that answers its heading directly and early. Look for a direct answer under each heading, concise definitions, short paragraphs, bullet points for criteria and tables for comparisons. Weak content structure is a fixable reason a relevant page gets skipped.
What good looks like: your pages match the formats engines cite, and each blog post opens with a quotable answer.
Step 6: Benchmark Competitors on the Same Prompts
Run the same prompts and engines for three to five named competitors. Compare visibility, share of voice, sentiment and cited sources for each brand.
The output is a gap list: prompts where a rival appears and you don’t, pages of theirs that get cited, and third party sources that mention them but not you. Those content gaps tell you what to publish. The sources tell you where to earn mentions across AI tools.
What good looks like: for each priority prompt, you know who wins and which source does the work.
Step 7: Check Product Pages and Marketplace Listings
AI shopping answers can draw on product detail pages (PDPs) and marketplace listings rather than your homepage. Check which PDPs get cited for purchase prompts, on your own website and on marketplaces such as Amazon, Shopee and Lazada.
Compare the facts across them. If your Amazon listing and your PDP disagree, the AI has to choose, and may pick the weaker version. Look for missing specs, vague descriptions and missing FAQs.
What good looks like: consistent product facts everywhere, and PDPs cited for prompts like “Which baby wash is gentle enough for newborns?”
Step 8: Check Coverage in Every Market and Language
Repeat the core prompt set in every market and language. A brand’s presence can be strong in the US and weak in Indonesia, or strong in English and missing in Vietnamese. AI search answers also lean on local sources, so the citation mix changes by country.
Include regional engines such as AI Hay in Vietnam, and report visibility per market, not as a global average.
What good looks like: a market-by-language view of GEO performance, with each market’s gaps assigned to an owner.
Which Technical Basics Should You Check Alongside the Audit?
The technical layer decides whether AI systems can reach and read your website at all. These are general good practice:
- AI crawlers: review robots.txt. OpenAI states that sites opted out of OAI-SearchBot won’t appear in ChatGPT search answers (OpenAI). Google states that Google-Extended doesn’t affect inclusion in Google Search (Google).
- llms.txt: an optional, proposed file that points AI tools to key pages. See our llms.txt guide.
- Structured data: tells AI systems who you are and what you sell. Use Organization schema with sameAs links, Article schema with a named author, and Person schema for experts. If author pages lack it, add Person schema (schema markup for AI search).
- Validation tools: test pages in the Schema.org schema validator and Google’s Rich Results Test, then fix validation errors.
- Site health: check indexing in Google Search Console and keep site speed reasonable.
Technical accessibility won’t earn citations alone, but gaps can block them.
How Do You Turn GEO Audit Findings Into a Prioritized Plan?
Rank every gap by commercial impact and effort, and give each an owner:
- Fix blockers: crawler access, wrong facts and broken structured data.
- Rework existing content that is relevant but rarely cited, adding a direct answer, tables and FAQs.
- Create new pages for prompts where competitors win.
- Close third-party gaps through digital PR, review programs and selective link building.
- Update PDPs and marketplace listings.
The result is a prioritized fix list split into content, technical and off-site work.
Re-run the same prompts each cycle so GEO improvements show against the baseline, track them with clear GEO KPIs, and feed results into your content strategy and GEO strategy. Keep the output to actionable steps.
What Mistakes Make a GEO Audit Misleading?
An audit misleads when one run of a few prompts is treated as a measurement:
- Single runs: AI answers vary, so test each prompt several times.
- One blended score: averaging engines hides visibility gaps.
- Only branded prompts: buyers who don’t know you yet ask category questions.
- A tiny prompt set: ten handpicked prompts rarely reflect real demand.
- SEO wins read as GEO wins: ranking on Google doesn’t mean AI cites you.
- No human judgment: GEO tools count mentions, but a person has to check the facts.
How Does Addlly AI Run a GEO Audit?
Addlly AI’s GEO Audit Tool runs the eight checks above at scale. Addlly AI is an AI search visibility platform for enterprise and multi-market brands, and its audit includes:
- 250+ consumer-style prompts per brand, drawn from thousands of real forum, review and social prompts.
- Per-engine visibility, share of voice and sentiment across ChatGPT, Perplexity, Gemini, AI Overviews, AI Mode, Claude and Copilot, plus regional engines.
- Citation forensics that classify every source as owned, competitor-driven or third-party.
- Commerce and PDP readiness across your domain and marketplaces.
- A prioritized action plan ranked by commercial impact, plus a walkthrough.
The audit focuses on knowledge and citations, not a technical SEO crawl. Fixes run through the AI GEO Agent, AI Schema Markup Generator and PDP AI Agent, or through Managed GEO Services.
GEO Audit Checklist
Copy this into a sheet or your project tools.
| # | Area | Check | What good looks like | Done |
|---|---|---|---|---|
| 1 | Scope | Engines, markets and 3–5 competitors agreed | Fixed inputs | ☐ |
| 2 | Prompts | Query universe built from real buyer questions | Every product line and stage covered | ☐ |
| 3 | Prompts | Branded and non-branded prompts separated | Category prompts outnumber branded ones | ☐ |
| 4 | Visibility | Mention rate and share of voice logged per engine | No single averaged score | ☐ |
| 5 | Visibility | Each prompt run more than once; trend tracked weekly | Variation and direction understood | ☐ |
| 6 | Citations | Every cited URL logged and classified | Source mix known | ☐ |
| 7 | Sentiment | Framing and factual errors recorded | Errors traced to source | ☐ |
| 8 | Entity | Brand description checked across site, profiles and directories | One consistent brand summary | ☐ |
| 9 | Content | Cited formats and extractability checked | Answer-first sections, tables, FAQs | ☐ |
| 10 | Competitors | Same prompts run for rivals | Gap list by prompt and source | ☐ |
| 11 | Commerce | PDPs and marketplace listings checked | Consistent product facts | ☐ |
| 12 | Markets | Prompt set run per market and language | Per-market owners | ☐ |
| 13 | Technical | Crawler access and schema validated | No blocks, no schema errors | ☐ |
| 14 | Plan | Fixes ranked; re-run date set | Owner and date on every fix | ☐ |
Frequently Asked Questions About How To Conduct a GEO Audit
How Often Should You Run a GEO Audit?
Run a full audit every quarter and re-check priority prompts monthly. AI answers shift as models and sources update, so an annual check goes stale. Use the same prompts and engines each time to keep results comparable.
Can ChatGPT Run a GEO or SEO Audit for You?
ChatGPT can help with parts, like reviewing page structure or drafting schema, but can’t run the audit. It can’t see other engines’ answers, track citations over time or benchmark competitors across hundreds of prompts.
How Many Prompts Should a GEO Audit Include?
Use enough prompts to cover every product line, funnel stage and market. A handful of prompts gives a misleading picture. For reference, Addlly AI’s GEO Audit uses 250+ consumer-style prompts per brand, drawn from thousands of real buyer questions.
Can You Run a GEO Audit Without GEO Tools?
Yes. A manual audit works with a prompt list, the AI engines themselves and a spreadsheet. The limits are scale and consistency: logging citations across engines, markets and repeat runs gets slow. Tools automate the runs; people still judge accuracy.
Does a GEO Audit Help Google Rankings?
Not directly. The audit measures how AI assistants mention and cite you, not where you rank in search engines. Many fixes it recommends, such as clearer structure, accurate structured data and stronger third-party coverage, also support traditional SEO, so the two programs reinforce each other.
How Long Does a GEO Audit Take?
There is no fixed timeline. It depends on the size of your website, the number of engines and markets, and the scope you set. With Addlly AI, platform setup typically takes 2-6 days, depending on the website, before the custom audit begins.
Who Should Own a GEO Audit Inside Your Team?
Give ownership to your SEO or content lead, because most fixes land in content and page structure. Brand, ecommerce, PR and regional teams act on their findings. Involve the content team early, and keep human judgment on accuracy.
Get Your GEO Audit
The audit tells you where your brand appears in AI answers, which sources shape those answers, and what to fix first. You can run the eight checks yourself with the checklist above. For several markets or marketplaces, Addlly AI’s GEO Audit runs them across 250+ real buyer prompts and the main AI engines, ranks fixes by impact, and its GEO agents or managed team implement them.
