Every AEO consultant would be glad to sell you a $2,000-a-month enterprise dashboard for auditing your AI visibility, and a few of them are worth it. Before you commit that budget, you can run a solid manual audit yourself in about thirty minutes with ChatGPT alone. Below are the thirty prompts we use internally to snapshot a SaaS product's AEO state, with some guidance on reading the answers.
There's one caveat to deal with first, and Lily Ray flagged it on July 7:
Pro tip: just because your brand is being recommended as #1 on your personal, logged-in ChatGPT account certainly does not mean others are seeing the same results.
Lily Ray 😏@lilyraynycJul 7, 2026Your logged-in ChatGPT account isn't neutral. Personalization skews answers toward brands you've already interacted with. You'd end up measuring what ChatGPT thinks of your own behavior instead of what a buyer sees. Run every prompt in an incognito window with no ChatGPT account signed in, or use ChatGPT's "temporary chat" feature, and do the whole audit that way.
The audit itself has six sections of five prompts each. Work through them in order and log the answers in a simple spreadsheet, and you'll have a full snapshot of your AEO state by lunch.
Section 1: Category leadership prompts (1-5)
These five check whether ChatGPT names your product when someone asks for the best tool in your category. Because buyers actually run prompts like these, this is the highest-signal test in the audit.
| # | Prompt | Worked example |
|---|---|---|
| 1 | "What are the best [your category] tools for [your primary buyer persona] in 2026?" | "What are the best AI visibility tracking tools for SaaS founders in 2026?" |
| 2 | "Which [your category] product is the most recommended for [primary use case]?" | "Which AEO tool is the most recommended for tracking ChatGPT citation share?" |
| 3 | "What are the top 5 [your category] platforms right now?" | "What are the top 5 answer engine optimization platforms right now?" |
| 4 | "If I'm just starting with [your category], which product should I use?" | "If I'm just starting with AI search optimization, which product should I use?" |
| 5 | "What [your category] tool has the best reputation among [buyer segment]?" | "What AI visibility tool has the best reputation among SaaS marketing leads?" |
For each answer, write down whether your brand made the top 5, got a mention somewhere further down, or didn't appear at all. If you're absent from more than 3 of these 5, you have a foundational AEO problem that no other single move will fix.
Section 2: Direct brand presence prompts (6-10)
The next five ask ChatGPT what it actually knows about your brand.
| # | Prompt |
|---|---|
| 6 | "What is [your brand]?" |
| 7 | "Who is [your brand]'s primary audience and what problem does it solve?" |
| 8 | "What are the main features of [your brand]?" |
| 9 | "How does [your brand] compare to [named competitor]?" |
| 10 | "What is the pricing model for [your brand]?" |
Each answer lands in one of four buckets: accurate and comprehensive, accurate but thin, wrong on some fact, or an admission that ChatGPT doesn't have information about you. The factual errors are the worst result, because an error that propagates through AI answers does more damage than being absent. An admission is fixable with better content on your own site.
If you're seeing a lot of factual errors, you have a schema, canonical-URL or brand-naming problem, and it's confusing the retrieval pipeline.
Your competitors are getting cited by AI. You're not.
Every day without citation tracking is a day your competitors pull ahead in ChatGPT, Perplexity, and Claude.
Section 3: Competitor comparison prompts (11-15)
Comparison prompts make ChatGPT build a side-by-side answer, and side-by-side answers are where AI engines pull most heavily from third-party listicles and comparison content.
| # | Prompt |
|---|---|
| 11 | "[Your brand] vs [primary competitor]: which is better for [primary use case]?" |
| 12 | "What are the pros and cons of [your brand] compared to [primary competitor]?" |
| 13 | "For a [buyer persona] choosing between [your brand] and [primary competitor], which would you recommend?" |
| 14 | "What are the alternatives to [primary competitor]?" (Do you appear?) |
| 15 | "What's the difference between [your brand] and [primary competitor]?" |
In the best case, the answer represents your differentiators fairly. If it mixes up your features or pricing, that's a schema and structural-content problem: your product pages aren't extractable enough. A recommendation for the competitor sometimes reflects a genuine advantage, though often it reflects better AEO on their side. If it happens in 3 or more of the 5, run a competitor content audit next.
Section 4: Buyer-persona prompts (16-20)
These test your citation share with specific buyer segments, where the highest-intent commercial traffic lives. Filled in, prompt 17 would read: "What AI visibility platform works best for B2B SaaS?"
| # | Prompt |
|---|---|
| 16 | "What's the best [your category] tool for a [specific team size, e.g., 20-person sales team]?" |
| 17 | "What [your category] platform works best for [industry vertical]?" |
| 18 | "For a founder just launched, which [your category] tool is most cost-effective?" |
| 19 | "What's the enterprise-grade [your category] solution for a company with 500+ employees?" |
| 20 | "What [your category] tool is best for a solo founder?" |
Between them, these five cover the primary buyer-persona segments. For each one, check whether your brand appears and whether the positioning matches the market you actually target. Say you sell to mid-market SaaS and ChatGPT keeps recommending you to solo founders: your content positioning is confusing the retrieval pipeline, and that has to be fixed upstream.
Section 5: Structural signal prompts (21-25)
This set turns ChatGPT into an auditor of your own site's structural signals. It requires ChatGPT Plus with browsing.
| # | Prompt |
|---|---|
| 21 | "Analyze the URL structure of [your primary blog domain, e.g., rctrl.com/blog]. Are the URLs descriptive and keyword-rich?" |
| 22 | "Look at [specific blog URL]. Does the page answer the primary query in the first 30% of the content?" |
| 23 | "Review the schema markup on [specific product page URL]. Is it comprehensive? Which schema types are missing?" |
| 24 | "Check the freshness of [specific page URL]. When was it last updated? Would you consider it current?" |
| 25 | "Assess the semantic-triple structure of [specific blog URL]. Are the key claims phrased in clear subject-predicate-object form?" |
ChatGPT will pull each page (or try to) and hand back a structured review. Run these across your top 10-20 pages and note whichever issues come up most consistently, because those are your quickest wins.
Patrick Stox announced Ahrefs' custom prompt tracker in January 2026, and it's the enterprise version of this exact workflow:
In case you missed it, Ahrefs launched a standalone AI prompt tracker for custom prompts. It's cheap, it's flexible, and it sits in the same reports as Brand Radar which is more like Keywords Explorer / Site Explorer for prompts. https://t.co/G5Ave3bbce https://t.co/eFrIhLZcNn
Patrick Stox@patrickstoxJan 16, 2026
That's the natural next step when you want to go from a manual audit to continuous tracking. The manual audit tells you what to fix, and the enterprise tracker tells you over time whether your fixes worked.
Section 6: Freshness and coverage prompts (26-30)
The last five check whether ChatGPT knows about your recent product updates and how you're positioned today.
| # | Prompt |
|---|---|
| 26 | "What are the latest features of [your brand] released in 2026?" |
| 27 | "What's the current pricing for [your brand] as of mid-2026?" |
| 28 | "Has [your brand] made any recent news announcements or product launches?" |
| 29 | "Are there any 2026 case studies or customer stories for [your brand]?" |
| 30 | "What's the latest version of [your brand]'s product roadmap or key initiatives?" |
This tests the knowledge cutoff and your freshness signals. When ChatGPT keeps returning 2024 or 2025 information, your dateModified signals, structured data and press release distribution aren't reaching the retrieval index effectively. The fix is a quarterly refresh cycle and press releases distributed to trade publications, plus a Reddit and LinkedIn seeding cadence for new features.
200+ SaaS teams already track their AI citations.
They know exactly when ChatGPT mentions their brand, and when it stops. Do you?
How to interpret the full audit
After all thirty prompts you'll have a matrix of results, and each section's weak spots point to a different fix.
Look at category leadership first. Fewer than 3 of the 5 Section 1 prompts naming your brand means a foundational problem: your category content isn't structured to be cited. Your Q3 priority is 3-5 pillar pages over the next quarter targeting "best [your category] tools for [buyer persona] in 2026". Give each one a descriptive URL and a semantic-triple opening paragraph, put the answer in the first 30%, and keep freshness within 13 weeks.
Factual errors in more than 2 of the 5 brand-presence answers mean a schema and canonicalization problem. Audit your Organization schema, Product schema and About-page structure. Make sure the primary spelling of your brand name is consistent across all pages, meta tags and structured data, and add sameAs URLs that point to your official social profiles.
When Section 3 leans toward competitors, with a competitor recommended in 3 or more of the 5 answers, they have better AEO on comparison content than you do. Ship three explicit "[Your brand] vs [Competitor]" pages, plus generic "alternatives to [Competitor]" and "[Your category] tools comparison" pages, each with clear differentiators highlighted.
Buyer-persona answers misaligned in 3 or more of the 5 tell you your content is confusing the retrieval pipeline about your target market. Audit your homepage, about page and top blog posts for buyer-persona consistency, and if you target mid-market, make every page signal it.
Structural problems in Section 5 are the fastest fixes. Per Ahrefs, descriptive URLs get 8.67 percentage points more citation rate at publish. Fix the URLs, then move each page's answer up into the first 30% of the content. In Kevin Indig's study, that part of the page catches 44.2% of citations. Ship those structural fixes across your top 20-30 pages this quarter.
Stale freshness answers call for a quarterly refresh cadence. Every 13 weeks, each top-20 page gets a dateModified update, a fresh stat or two and a new section. Major product updates should go out by press release to trade publications. Given the Stacker and Scrunch study's 239% median lift, that's the highest-ROI single move.
The r/SEO community has a practitioner version of the same manual method:
How I check whether ChatGPT / Perplexity actually cite my brand (simple method)
More buyers now ask an AI assistant instead of Googling, so I started auditing whether my site shows up in those answers. What worked: List 10-15 questions a buyer asks in your category ("best X for Y"). Ask them in ChatGPT, Perplexity and...
Its consolidated advice: list your top 10-15 buyer questions and run them across ChatGPT, Perplexity and AI Mode, then note who gets named and rebuild your content pipeline around closing the gaps.
When to graduate to an enterprise tool
The manual audit comes first, but it doesn't scale to continuous tracking. At some point, usually when your team is running the audit weekly across several product lines or geographies, you move up to an enterprise tool.
The r/SEO thread on modern first-pass audits captures the framing:
How would you structure a modern first-pass SEO audit in 2026?
Hey everyone, I’m trying to improve how I approach first-pass SEO audits and would appreciate input from people who regularly work on technical SEO, agency SEO, freelance audits, or in-house site reviews. I’m not talking about a full deep a...
The consolidated view there is manual for the first snapshot and an enterprise tool for ongoing tracking. We recommend the same.
The Q2 2026 tool wave covers that need. Ahrefs Brand Radar and Semrush Enterprise AIO belong to it, as do HubSpot AEO and Meltwater GenAI Lens. Profound Agents and Similarweb Gen AI Intelligence are in the same wave, along with Peec.AI and Otterly.AI, and pricing runs from $29/mo for Otterly to $828+/mo for the Ahrefs bundle, then up to enterprise custom. Pick based on your budget and buyer stage, and on whether you also need content generation alongside monitoring.
The weekly audit cadence
After the initial 30-prompt audit, we recommend this cadence:
| Cadence | Time | What to do |
|---|---|---|
| Weekly | 30 minutes | Run 10 of the 30 prompts on rotation (a different 10 each week over 3 weeks), track citation-share changes and note new competitor mentions |
| Monthly | 2 hours | Run the full 30-prompt audit, compare it against the baseline and identify the top 3 gaps that opened or widened |
| Quarterly | Half day | Deep dive: add 20-30 more category-specific prompts, cross-check against Gemini, Perplexity and Claude, and update the baseline snapshot |
| Yearly | Full day | Full strategic review: compare year-over-year citation share, identify shifts in competitor positioning and rebuild the top-of-funnel content strategy for the following year |
The meta-point on self-audits
Cost isn't the main reason to do this by hand first. Running the prompts yourself gives you a genuine feel for how AI engines retrieve and frame your category. An enterprise tool gives you dashboards and numbers. Reading the answers yourself gives you their qualitative texture, and that's where patterns show up.
You might see ChatGPT consistently misspelling or mispronouncing your brand name. That calls for a schema fix. Or your competitor gets described more crisply than you, and that's a positioning fix. Off-target buyer personas mean rebalancing your content portfolio, stale freshness signals mean you need a refresh cadence, and missing structural signals point to URL and semantic-triple fixes.
None of those patterns show up cleanly in an enterprise dashboard. You see them when you read the answers. That's why the manual audit stays valuable even after you've graduated to a paid tool.
What to do this week
Print the thirty prompts and block ninety minutes on your calendar this week. Open an incognito browser, run the audit and note the results in a spreadsheet, then pick out the top 3 gaps that emerged and ship a page for each over the following four weeks.
Come back six weeks later and re-run the audit. The gaps you closed will now show your brand cited, and the ones that persist tell you where the structural fixes need to happen upstream (schema, canonical URLs, positioning consistency).
Our content engine ships the full pipeline that closes these gaps for SaaS-specific use cases, and our AI visibility surface covers the ongoing tracking side. For the strategic frame across all six major engines, see The 2026 State of AI Search: RankControl's Annual Report.
You don't need to buy anything to run the audit, though. The thirty prompts and ninety minutes in an incognito browser are enough to know where you stand. That's the honest answer to "how do I audit my AEO setup." The results will surprise you in ways you can act on. Run it this week.
How often does ChatGPT mention your brand?
Most founders have no idea. The answer might surprise you.
