OK so let me be honest about something upfront. Every AEO consultant will happily sell you a $2,000-a-month enterprise dashboard to audit your AI visibility. Some of them are worth it. But before you commit that budget, you can run a solid manual audit yourself in about thirty minutes using ChatGPT alone. What follows is the exact set of thirty prompts we use internally to snapshot a SaaS product's AEO state, plus a bit of guidance on how to interpret the answers you get back.
One caveat before we start. Lily Ray flagged the specific personalization trap 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, 2026The point being that your logged-in ChatGPT account is not neutral. Personalization skews toward brands you've already interacted with, which means the results you see may not match what a buyer sees. Always run these prompts in an incognito browser window with no ChatGPT account signed in, or use ChatGPT's "temporary chat" feature. Do the full audit that way. Otherwise you're just measuring what ChatGPT thinks about your own behavior, not what your buyers are seeing.
With that established, here's the thirty-prompt audit. Structured in six sections of five prompts each. Run them in order, note 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)
The first five prompts check whether ChatGPT names your product when a buyer asks for the best in your category. This is the highest-signal AEO test because category-leadership prompts are what buyers actually run.
1. "What are the best [your category] tools for [your primary buyer persona] in 2026?" Example: "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]?" Example: "Which AEO tool is the most recommended for tracking ChatGPT citation share?"
3. "What are the top 5 [your category] platforms right now?" Example: "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?" Example: "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]?" Example: "What AI visibility tool has the best reputation among SaaS marketing leads?"
How to score: For each prompt, note whether your brand is (a) named in the top 5, (b) mentioned anywhere in the answer, or (c) absent entirely. 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)
These prompts check what ChatGPT knows about your specific brand.
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]?"
How to score: For each, check whether the answer is (a) accurate and comprehensive, (b) accurate but thin, (c) contains factual errors, or (d) admits ChatGPT doesn't have information. Category (c) is worst; a factual error propagating through AI answers is worse than being absent. Category (d) is fixable with better content on your site. If you're getting a lot of (c), you have a schema, canonical-URL, or brand-naming problem that'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)
These prompts trigger side-by-side answers, which are where AI engines pull most heavily from third-party listicles and comparison content.
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]?"
How to score: For each, note whether ChatGPT (a) fairly represents your brand's differentiators, (b) mixes up features or pricing, or (c) recommends your competitor. Category (b) is a schema and structural-content problem: your product pages aren't extractable enough. Category (c) sometimes reflects genuine competitor advantage, but often reflects better AEO on the competitor's side. If (c) shows up in 3+ of the 5, run a competitor content audit next.
Section 4: Buyer-Persona Prompts (16-20)
These prompts test citation share for specific buyer segments, which is where the highest-intent commercial traffic lives.
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]?" Example: "What AI visibility platform works best for B2B SaaS?"
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?"
How to score: These five prompts cover the primary buyer-persona segments. For each, note whether your brand appears and whether the positioning matches your actual target market. If you're targeting mid-market SaaS but ChatGPT keeps recommending you for solo founders, your content positioning is confusing the retrieval pipeline. Adjust upstream.
Section 5: Structural Signal Prompts (21-25)
These prompts have ChatGPT audit your own site's structural signals directly. Requires ChatGPT Plus with browsing.
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?"
How to score: These are direct site-level audits. ChatGPT will pull the page (or attempt to) and give you a structured review. Note whichever issues come up most consistently across your top 10-20 pages. Those are your quickest wins.
Patrick Stox announced Ahrefs' custom prompt tracker in January 2026, which is 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
If you want to graduate from manual audit to continuous tracking, that's the natural next step. The manual audit tells you what to fix; the enterprise tracker tells you whether your fixes worked over time.
Section 6: Freshness and Coverage Prompts (26-30)
These prompts check whether ChatGPT knows about your recent product updates and current positioning.
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?"
How to score: These check knowledge cutoff and freshness signals. If ChatGPT keeps returning 2024 or 2025 information for these, your site's dateModified signals, structured data, and press release distribution aren't reaching the retrieval index effectively. The fix: quarterly refresh cycles, press releases distributed to trade publications, and a Reddit/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 running all thirty prompts, you'll have a matrix of results. Here's how to read it.
If Section 1 (category leadership) is weak (fewer than 3 of 5 name your brand): You have a foundational AEO problem. Your category content isn't structured to be cited. Ship 3-5 pillar pages targeting "best [your category] tools for [buyer persona] in 2026" over the next quarter, structured with descriptive URLs, semantic-triple opening paragraphs, first-30% answer placement, and freshness within 13 weeks. That's your Q3 priority.
If Section 2 (brand presence) is inconsistent (factual errors in more than 2 of 5): You have a schema and canonicalization problem. Audit your Organization schema, Product schema, and About-page structure. Ensure the primary brand-name spelling is consistent across all pages, meta tags, and structured data. Add sameAs URLs pointing to your official social profiles.
If Section 3 (competitor comparison) leans toward competitors (competitor recommended in 3+ of 5): Your competitors have better AEO on comparison content. Ship three explicit "[Your brand] vs [Competitor]" pages, plus generic "alternatives to [Competitor]" and "[Your category] tools comparison" pages, each with clear differentiators highlighted.
If Section 4 (buyer persona) targeting is off (misaligned in 3+ of 5): Your content is confusing the retrieval pipeline about your target market. Audit your homepage, about page, and top blog posts for buyer-persona consistency. If you target mid-market, every page should signal that.
If Section 5 (structural signals) has issues: These are the fastest fixes. Descriptive URLs get you 8.67 percentage points more citation rate at publish per Ahrefs. Answer-in-first-30% catches 44.2% of citations per Kevin Indig's study. Ship the structural fixes across your top 20-30 pages this quarter.
If Section 6 (freshness) is stale: Set up a quarterly refresh cadence. Every top-20 page gets a dateModified update, a fresh stat or two, and a new section every 13 weeks. Distribute major product updates via press release to trade publications (Stacker + Scrunch's 239% median lift study makes this the highest-ROI single move).
The r/SEO community walks through the practitioner version of this 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...
Consolidated advice: list your top 10-15 buyer questions, run them across ChatGPT, Perplexity, and AI Mode, note who gets named, and rebuild your content pipeline around closing the gaps.
When to Graduate to an Enterprise Tool
The manual audit is what you should do first, but it doesn't scale for continuous tracking. At some point (usually when your team is running the audit weekly across multiple product lines or geographies), you graduate 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: manual for the first snapshot, enterprise tool for ongoing tracking. Which is what we recommend too.
The Q2 2026 tool wave (Ahrefs Brand Radar, Semrush Enterprise AIO, HubSpot AEO, Meltwater GenAI Lens, Profound Agents, Similarweb Gen AI Intelligence, Peec.AI, Otterly.AI) covers the enterprise-tracking need. Pricing ranges from $29/mo (Otterly) to $828+/mo (Ahrefs bundle) to enterprise custom. Pick based on your budget, buyer stage, and whether you also need content generation alongside monitoring.
The Weekly Audit Cadence
Once you've done the initial 30-prompt audit, here's the cadence we recommend:
Weekly (30 minutes): Run 10 of the 30 prompts on rotation (different 10 each week over 3 weeks). Track citation-share changes. Note new competitor mentions.
Monthly (2 hours): Full 30-prompt audit. Compare against baseline. 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. Update the baseline snapshot.
Yearly (full day): Full strategic review. Compare year-over-year citation share. Identify shifts in competitor positioning. Rebuild the top-of-funnel content strategy for the following year.
The Meta-Point on Self-Audits
The reason to do this manually first goes beyond cost. Running the prompts yourself gives you a genuine feel for how AI engines are retrieving and framing your category. Enterprise tools give you dashboards and numbers. Running the prompts yourself gives you the qualitative texture of the answers, which is where you'll notice patterns like:
- ChatGPT consistently mispronounces or misspells your brand name (schema fix needed)
- Your competitor is described more crisply than you are (positioning fix needed)
- Buyer-persona targeting is off (content-portfolio rebalance needed)
- Freshness signals are stale (refresh cadence needed)
- Structural signals are missing (URL and semantic-triple fixes needed)
None of those patterns show up cleanly in an enterprise dashboard. They show up when you read the answers. Which is why the manual audit remains valuable even after you've graduated to a paid tool.
What to Do This Week
Print the thirty prompts above. Block out ninety minutes on your calendar this week. Open an incognito browser and run the audit. Note the results in a spreadsheet. Identify the top 3 gaps that emerged. Ship a page for each over the following four weeks.
Come back in six weeks and re-run the audit. The gaps you closed will now show your brand cited. The gaps that persist will 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.
But you don't need to buy anything to run the audit. The thirty prompts, an incognito browser, and ninety minutes are enough to know where you stand. That's the honest answer to "how do I audit my AEO setup." Try it this week. The results will surprise you, in ways that are actionable.
How often does ChatGPT mention your brand?
Most founders have no idea. The answer might surprise you.
