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 below 40. 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.
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.
“A score you cannot decompose is a score you cannot act on. The number matters less than the rubric behind it.”
Radar scoring principle
What Is an AEO Checker?
An AEO checker is a tool that scores how ready a page or a brand is to be quoted by AI answer engines, and every checker measures against its own rubric. As of July 2026, products sold under that name fall into the three classes compared in the table above: brand-level graders, page-level auditors, and technical readiness checkers. Their numbers look alike and mean different things, so the first question to ask of any AEO checker is which class it belongs to.
Our AEO Page Auditor is the second kind: a page-level checker that fetches one URL and scores it across six weighted categories. The next section shows exactly how that works.
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 50 to 69, D is 30 to 49, and anything below 30 is an F. Every Radar tool uses the same bands, so a letter means the same thing on every report. 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 50 to 69 (a C) already puts a page well ahead of the field. Below 30 (an F) 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 below 40
scored an A
scored 55 or higher
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 (50 to 69) | Ahead of the field | Only 2 of 59 audited domains scored 55 or higher |
| D (30 to 49) | Partially readable | Engines can parse fragments but citation is unreliable |
| F (below 30) | Effectively invisible to answer engines | The band that holds the June 2026 average of 26; 55 of 59 audited domains scored below 40 |
Correction: an earlier version of this guide gave the AEO Auditor's bands as C from 55, D from 40 and F below 40, and reported the June 2026 dataset as letter grades on those bands. As of 25 September 2026, every Radar tool grades on one scale (A from 85, B from 70, C from 50, D from 30, F below 30), so this version uses those bands and reports the same scores as score ranges. No score changed.
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.
“You do not need better writing. You need the markup and structure that lets a machine find the answer you already wrote.”
Why 9 in 10 Websites Fail AEO, Radar dataset report
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 looks like next to mention rates.
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 below 40 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.
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. Page-level checkers compute it by fetching a URL and scoring machine-readability signals like structured data, answer-first content structure, and data extractability against a weighted rubric. A high score means an engine can lift a citable answer from the page. A low score means the content exists but a machine cannot reliably use it.
What is a good AEO score?
On the Radar AEO Auditor, which scores pages 0 to 100, a genuinely answer-ready page targets 70 or higher (a B grade). Between 50 and 69 (a C) already puts a page well ahead of the field: across 59 real domains audited between April 26 and June 3, 2026, the average score was just 26 out of 100, about 9 in 10 scored below 40, and only 2 of 59 scored 55 or higher. Scales differ per tool, so always interpret a score against the rubric of the tool that produced it.
Are AEO scores comparable across different tools?
No. As of July 2026, tools called AEO checkers measure at least three different things: brand-level graders (like the HubSpot AEO Grader) score how AI models represent your brand, page-level auditors (like the Radar AEO Auditor or the Profound content score) score whether a specific URL is structured for citation, and technical readiness checkers score whether AI crawlers can reach your site at all. A 70 from a brand grader and a 70 from a page auditor describe unrelated properties, so never average or compare them.
What does an AEO checker actually measure?
A page-level AEO checker fetches your URL and scores machine-readability signals against a rubric. The Radar AEO Auditor scores six weighted categories totaling 100 points: structured data quality (25), answer-first content structure (20), data extractability (20), speakable schema (15), content freshness (10), and entity authority (10). Other tools weight different signals, which is why the category breakdown matters more than the headline number.
Why is my AEO score low?
Almost always because of structure, not writing quality. In the Radar dataset of 59 audited domains, the most common failures were missing FAQ and Speakable schema, sections that bury the answer instead of front-loading it, thin or invalid structured data, and no freshness markers. The content itself was often good. The machine-readable layer that lets an answer engine lift and cite it was missing.
Does a high Google ranking mean a high AEO score?
No. Ranking and answer-readiness are different properties. In Radar audit data from mid 2026, crawlability averaged 64 out of 100 across 216 domains while AEO averaged 26 out of 100 across 59 domains, a 38-point gap. Most sites are reachable by AI crawlers and still not answerable, meaning an engine that fetches the page cannot cleanly extract a citable answer from it.
How do I improve my AEO score?
Work the rubric in weight order. First fix structured data quality (worth 25 points on the Radar rubric): valid Article, Organization, and FAQ schema. Then restructure content answer-first (20 points): open every section with a standalone, quotable answer. Then improve data extractability (20 points): clean heading hierarchy, tables for comparisons, short declarative sentences. Then add Speakable schema (15 points), refresh dated content (10 points), and strengthen entity signals (10 points). Re-run the audit after each round of fixes.
How often should I re-check my AEO score?
Re-audit after any significant content or template change, and at least quarterly even without changes. Content freshness carries explicit weight in page-level rubrics (10 of 100 points on the Radar AEO Auditor), and answer engine behavior shifts often enough that a score from six months ago describes a landscape that no longer exists.
Is an AEO score the same as an AI visibility score?
No. An AEO score grades one layer of AI visibility: whether your pages are structured so answer engines can understand and cite them. A full AI visibility score also covers whether AI crawlers can access your site and whether AI engines actually mention or cite your brand in live answers. AEO is the on-page layer of that larger system.
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.
Want the full AI visibility picture?
- AI Crawl Checker - Free check that AI crawlers can reach your pages
- Answer Engine Citation Tester - Free check of whether engines cite you today
- Radar Platform - Audits, citation checks, and monitoring in one place
- Contact Us - Talk through your AI visibility strategy
