What Is an AEO Score?
An AEO score is a number, usually on a 0 to 100 scale, that estimates how ready your content is to be found, understood, and quoted by AI answer engines such as ChatGPT, Perplexity, and Gemini. A high score means an engine can lift a citable answer straight from your page. A low score means your content exists but a machine cannot reliably use it.
That is our working definition at Pixelmojo, and the rest of this guide unpacks it against real data. Because here is the uncomfortable part: most teams who run an AEO checker for the first time expect a B and get an F. Across 59 real domains that ran our audit between April 26 and June 3, 2026, the average score was 26 out of 100. About 9 in 10 scored an outright F. Not one scored an A.
This guide explains what the number actually measures, why scores from different tools describe completely different things, what a good score looks like against real distribution data, and which fixes move the number fastest.
TL;DR
- An AEO score estimates how ready a page is to be found, understood, and cited by AI answer engines, usually on a 0 to 100 scale
- Tools called AEO checkers measure three different things: brand perception, page-level answer readiness, or technical crawl readiness. Scores are not comparable across classes
- Across 59 real domains audited on Radar (April to June 2026), the average AEO score was 26 out of 100 and about 9 in 10 scored an F
- On the Radar rubric, 70 or higher (a B) is answer-ready. Only 2 of 59 audited domains reached even a C
- Crawlability averaged 64 while AEO averaged 26: most sites are reachable by AI crawlers but not answerable by AI engines
- The fastest fixes follow the rubric weights: structured data first, answer-first structure and extractability next, then speakable schema, freshness, and entity signals
An AEO score is only meaningful against the rubric that produced it. On a 100-point page-level rubric, real-world pages average 26, so a 70 puts you far ahead of the field. The failure is almost always structure and markup, not writing, which means the fix is mechanical.
What Does an AEO Score Actually Measure?
It depends entirely on the tool. As of July 2026, products marketed as AEO checkers measure at least three different things: how AI models perceive your brand, whether a specific page is structured for citation, or whether AI crawlers can reach your site at all. Comparing scores across these classes is meaningless.
We verified the current tool landscape directly against the HubSpot AEO Grader, the Profound AEO Content Score announcement, and the Framer AEO scanner (all vendor pages checked July 18, 2026):
| Score class | What it grades | Example tools (verified July 2026) | What a low score means |
|---|---|---|---|
| Brand-level grader | How AI models represent your brand: sentiment, recognition, share of voice | HubSpot AEO Grader (free, 100 points: sentiment 40, presence quality 20, brand recognition 20, share of voice 10, market competition 10) | AI engines describe your brand poorly, rarely, or not at all |
| Page-level answer readiness | Whether one URL is structured so an engine can extract and cite an answer | Radar AEO Auditor ($5, six weighted categories), Profound AEO Content Score (paid platform, ML-based), Framer AEO scanner (free, single URL) | The page exists but engines cannot cleanly lift a citable answer from it |
| Technical readiness checker | Whether AI crawlers can fetch and parse your site at all | AI crawl and robots checkers (many free tools, including our AI Crawl Checker) | GPTBot, PerplexityBot, and friends are blocked or served broken pages |
The three classes answer different questions in sequence. Technical readiness asks: can the machine get in? Page-level readiness asks: once in, can it use what it finds? Brand-level grading asks: after all of that, what does the model actually say about you?
Our take: the page-level score is the one you can act on this week. Brand perception moves slowly and downstream of many inputs. Crawl access is usually a handful of yes-or-no fixes. But page structure is where the daily work of answer engine optimization lives, and it is where the field is failing hardest.
How Does an AEO Checker Work?
A page-level AEO checker fetches your URL, parses the HTML the way an AI crawler would, and scores machine-readability signals against a weighted rubric. The headline number is just the sum of the category scores, which is why the category breakdown is always more useful than the total.
Here is the exact rubric behind our own AEO Page Auditor, a paid page-level checker ($5 per audit). Six categories, 100 points:
Where the 100 points live
Radar AEO Auditor category weights (verified in the shipped scoring engine, July 2026)
The six categories in plain language
Structured data quality (25 points). Valid, complete Article, Organization, and FAQ schema. This is the machine-readable layer that tells an engine what the page is, who wrote it, and which questions it answers.
Answer-first content structure (20 points). Does each section open with a standalone, quotable answer, or does it warm up for three paragraphs first? Engines extract passages, not pages. A buried answer is an invisible answer.
Data extractability (20 points). Clean heading hierarchy, tables for comparison data, short declarative sentences. The easier a passage is to parse, the cheaper it is for an engine to retrieve and reuse.
Speakable schema (15 points). Markup that flags which parts of the page are suitable to be read aloud or quoted directly. One honest nuance: Google documents speakable as a beta feature scoped to Assistant news playback for US English (checked July 2026), so our rubric treats it as a proxy for quotable structure rather than a direct citation signal. Most sites have none at all.
Content freshness (10 points). Visible dates and update markers. An undated page gives an engine no way to judge whether the content is current, so the rubric treats missing dates as a readiness gap.
Entity authority (10 points). Clear signals about who and what the page is about: author markup, organization identity, consistent naming.
What the grade bands mean
The auditor maps the 100-point score to letter grades: A is 85 or higher, B is 70 to 84, C is 55 to 69, D is 40 to 54, and anything below 40 is an F. Those bands are calibrated so that a B genuinely means answer-ready, not merely better than average. As the next section shows, average is a very low bar right now.
What Is a Good AEO Score?
On a 100-point page-level rubric, 70 or higher (a B) means genuinely answer-ready. A score of 55 to 69 (a C) already puts a page well ahead of the field. Below 40 means answer engines are mostly unable to use the page at all. Those bands sound strict until you see the real distribution.
Between April 26 and June 3, 2026, 59 distinct domains ran the AEO Auditor on Radar. The aggregate results, published in full in our dataset report, were consistent and uncomfortable:
The real AEO score distribution
59 audited domains, Radar AEO Auditor, April to June 2026
average score
scored an F
scored an A
reached a C or better
So what should you actually target? Read the bands against that distribution:
| Grade | Score | What it means in practice |
|---|---|---|
| A (85 to 100) | Fully answer-ready | Complete schema graph, answer-first sections, high extractability. Zero of 59 audited domains reached this |
| B (70 to 84) | Answer-ready | The realistic target for a commercial page that wants to be cited |
| C (55 to 69) | Ahead of the field | Only 2 of 59 audited domains reached a C or better |
| D (40 to 54) | Partially readable | Engines can parse fragments but citation is unreliable |
| F (below 40) | Effectively invisible to answer engines | Where about 9 in 10 audited domains landed, at an average of 26 |
One honest caveat: these numbers describe our rubric and our dataset. A different tool with a different rubric will produce a different distribution. The point that transfers is the shape, not the exact average: most of the web has not done this work yet, so a modest, mechanical effort moves you from the failing majority into the small cited minority.
How Do You Run an AEO Audit?
An AEO audit is a five-step loop: confirm access, score the page, read the category detail, test real citations, then fix and re-run. You can complete the first pass in under an hour.
The AEO audit loop
Each pass through the loop raises the score. Most sites need two to three passes
Check crawl access
Can AI bots reach the page?
Score the page
Run a page-level AEO audit
Read the categories
Find the cheapest missing points
Test real citations
Do engines cite you today?
Fix and re-run
Re-audit after each round
Step 1: Confirm AI crawlers can reach the page
Before scoring content, confirm the machine can get in. Our free AI Crawl Checker tests whether GPTBot, PerplexityBot, ClaudeBot, and other AI crawlers can actually fetch your pages, or whether robots rules and CDN settings block them.
Step 2: Score the page against a rubric
Run the URL through a page-level auditor. The AEO Page Auditor scores the six categories above and returns the grade plus specific findings per category. It costs $5 per audit and runs inside the Radar dashboard.
Step 3: Read the category detail, not the headline number
Two pages can both score 45 for opposite reasons: one has perfect schema and buried answers, the other has quotable answers and no markup. The category breakdown tells you which points are cheapest to recover. Structured data gaps are usually template-level fixes that lift every page at once.
Step 4: Test whether engines actually cite you
A score predicts citability. The free Answer Engine Citation Tester checks the outcome directly: whether ChatGPT, Perplexity, Claude, and Gemini cite or mention your page for a question you care about, and which competitor gets cited instead.
Step 5: Fix, re-run, and keep the delta
Make one round of fixes, re-run the audit, and record both numbers. The delta is your proof of progress, and the remaining category gaps are your next sprint.
How Do You Improve a Low AEO Score?
Work the rubric in weight order: structured data first, then content structure and extractability, then the smaller categories. This ordering exists because the heaviest categories are also the most mechanical to fix.
Fix structured data quality first (25 points). Add or repair Article, Organization, and FAQ schema. Validate it. This is template work: fix it once and every page inherits the points.
Restructure content answer-first (20 points). Open every H2 section with one or two sentences that answer the implied question outright. Elaboration comes after the answer, never before it.
Raise data extractability (20 points). Use a strict heading hierarchy with no skipped levels. Put comparison data in real tables. Break long compound sentences into short declarative ones for key claims.
Add speakable schema (15 points). Mark up your headline, description, and key takeaways as speakable content. Almost nobody does this, which makes it one of the cheapest differentiators on the rubric.
Refresh and date your content (10 points). Show a visible published date and update date, and actually update the content behind them.
Strengthen entity signals (10 points). Consistent author markup with a real author page, a complete Organization identity, and unambiguous naming for your brand and products.
The same page, before and after
What an answer-first restructure changes. The right column is the target profile from our rubric, not a measured pair. The writing barely changes; the structure changes completely
- Answer buried four paragraphs into each section
- No FAQ or Speakable schema, thin Article markup
- Comparisons written as prose, headings skip levels
- No visible dates, no author entity
- Every section opens with a standalone, quotable answer
- Valid Article, Organization, FAQ, and Speakable schema
- Tables for comparisons, clean H2 to H3 hierarchy
- Dated, refreshed, with clear author and brand entities
Why Does a #1 Google Ranking Not Guarantee a Good AEO Score?
Because ranking and answer-readiness are different properties of a page. Traditional rankings reward relevance and authority signals accumulated over years. Answer engines additionally need extractable structure at the passage level, and most pages that rank well were never built for that.
Our audit data makes the gap concrete. Crawlability, the plumbing layer, averaged 64 out of 100 across 216 audited domains. AEO, the answer-readiness layer, averaged 26 across 59 domains.
Our reading of that gap: the industry spent two decades making pages reachable and rankable, and almost no time making them quotable. If you want the longer version of how ranking, citation, and recommendation differ as goals, we broke that down in SEO vs AEO vs GEO, and we measured what AI referral traffic actually looks like next to citation share.
The practical consequence: auditing your rankings tells you nothing about your AEO score. You have to measure the answer-readiness layer separately.
How Often Should You Re-Check Your AEO Score?
Re-audit after any significant content or template change, and at least quarterly even if nothing changed on your side. Two forces decay a stale score: your own content ages (and freshness carries explicit weight on the rubric), and answer engine behavior keeps shifting under everyone.
A single audit is a snapshot. The teams that win citations treat the score as a monitored metric with a trend line, the same way they treat Core Web Vitals or uptime. That is the layer where Radar lives: page-level audits, live citation checks, and brand-level monitoring in one place, with a scoring methodology we publish and defend rather than a black-box number.
If you are still deciding which tools to use for which layer, our complete guide to free AI visibility tools maps the whole stack, including the free tiers.
The Bottom Line
An AEO score is a rubric-based estimate of one thing: whether an AI answer engine can lift a citable answer from your page. The number only means something against the rubric and the field. Right now the field is failing, with an average of 26 out of 100 and 9 in 10 pages at an F across our audited dataset, which makes this one of the rare channels where a few weeks of mechanical, structural work puts you ahead of roughly 9 in 10 competitors.
Score the page. Read the categories. Fix in weight order. Re-run. That is the entire discipline.
AEO Scores: Questions Readers Ask
Common questions about this topic, answered.
Ready to See Your Own Number?
Most pages that feel answer-ready score in the 20s. There is one honest way to find out where yours lands.
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