AI SEO for EdTech and Online Learning: How to Get Recommended by ChatGPT and Google AI Overviews
An online course gets recommended when AI tools can read a clear page about it and find the same facts confirmed elsewhere. Publish plain-text course pages with price, length, prerequisites, certificate terms and a dated outcomes statement. Then earn honest reviews on sites learners use. Many course prompts are 'best for' comparisons, so answer them with evidence you can support.
- By early 2025, 26% of US adults had used ChatGPT to learn something new, and 46% of adults under 30 had. 1
- Google needs no special markup for its AI features: a page must be indexed and eligible to show with a snippet. 3
- Claims about jobs, salary or pass rates need a reasonable basis before you publish them. 6
- Give every course its own page with price, length, prerequisites, certificate terms and a last-checked date.
- Collect reviews under the FTC rule: no fake reviews and no rewards tied to a positive score. 5
How does an online course business get recommended by ChatGPT and Google AI Overviews?
Certificate terms, price and outcomes are the facts a course buyer asks about, so those must be easy for an AI tool to read and to find confirmed elsewhere. 'AI engines' here means ChatGPT and Google's AI Overviews and AI Mode. To appear as a link in Google's AI features, a page must be indexed and eligible to show with a snippet 3.
Google also says you need no new files, markup or AI text files to appear in these features 3. Its guide to generative AI search tells site owners to write original content from real knowledge, and warns against separate pages for every fan-out variation made to game results 7. 'Fan-out' means the extra searches an AI runs behind one prompt.
So the job is plain. Make each course easy to read, accurate and checkable. We found no study that measures how often AI tools recommend courses or learning platforms, so treat any promised EdTech ranking formula as unproven.
- A quarter of US adults had used ChatGPT to learn something new by early 2025, and nearly half of under-30s 1.
- Price, official-site and review searches are common in ChatGPT's fan-out, and all three are facts a course provider can publish 4.
- Comparison questions pull in outside sources: official sites got 46.4% of citations on comparisons against 63.4% on facts 4.
- Outcome claims carry legal risk, so careful, dated evidence also builds trust 6.
How do learners use AI when they choose a course?
Public data on this is thin. Pew surveyed 5,123 US adults in February and March 2025. It found 34% had used ChatGPT, 26% had used it to learn something new, and 46% of adults under 30 had done so 1. That measures general learning, not paid course buying, and the data is more than a year and a half old.
Age matters. Pew found 58% of adults under 30 had used ChatGPT against 10% of those aged 65 and over 1. If your learners are young professionals, it is reasonable to expect heavier AI use. That is our inference, not a measured result for course buyers.
The table below shows the prompt types we would expect, using the seed prompt for this page. These are modelled, not observed, and you should test your own.
| Prompt type | Example | Page that answers it |
|---|---|---|
| Best-for | best online course to learn data analytics with a certificate | A course page stating level, length, certificate terms and who it suits |
| Comparison | [course A] vs [course B] for data analytics | A fair comparison page with a row where the rival wins |
| Price and access | is there a free data analytics course with a certificate | A pricing page naming what is free, what is paid and why |
| Outcome | can a data analytics certificate help me get a job | A dated outcomes page that states method, sample and limits |
| Fit | data analytics course for beginners with no maths background | A prerequisites page with an honest difficulty guide |
What do AI engines look at when they choose a course?
They lean on your site for facts and on other sites for judgement. In a separate Ahrefs test of 20,000 US prompts, official sites took 63.4% of ChatGPT citation share for factual questions but 46.4% for comparison questions 4. Price, length and syllabus are facts you own. 'Best' is a judgement that others make.
ChatGPT often answers without searching. Ahrefs found 14.4% of 66.6 million free, logged-out responses in August and September 2026 contained fan-out queries, about 1.6 each 4. The most common added words in English fan-out queries in September were '2026' (22.9%), 'official' (13.1%), 'price' (8.9%) and 'reviews' (3.6%) 4.
Large citation studies skip education. Profound's article on 11.84 billion citations across 29 industries does not name an education category among the industries it discusses 8. So we have no benchmark for what share of course citations come from course sites versus review sites.
What searches might an AI run before it names a course?
The list below is modelled on the published patterns above; no real fan-out was captured for this course prompt. It shows the kind of searches to expect, not what any engine ran. You can test your own prompts with the Query Fan-Out Explorer, and what is query fan-out explains the idea.
Notice that each likely search maps to a page you can publish. Price, 'official' and review searches all point at facts a course provider can state plainly.
- Prompt: best online course to learn data analytics with a certificate
- Likely search 1: best data analytics certificate online 2026
- Likely search 2: data analytics certificate course price
- Likely search 3: [Course A] reviews
- Likely search 4: [Course A] official syllabus and certificate
- Likely search 5: data analytics certificate vs degree for jobs
- What to publish: a course page, a pricing page, a syllabus, a review profile and an honest outcomes page
What should an EdTech business publish first?
Publish one plain-text page per course, then the pages that answer the doubts buyers have. A learner weighing a certificate wants to know the cost, the time, who the course suits and whether the credential counts. Each answer should sit in the first lines of its section so an AI can quote it.
Put facts in HTML text, not inside a video, a PDF or a sign-up widget. Add a 'checked on' date to price and outcomes, and update it when you change the course. Link the course page to its syllabus, instructor page and reviews page so the facts support each other.
- Course page: level, hours, format, price, prerequisites, certificate terms, instructor names.
- Syllabus page: modules and tools taught, as a list the reader can scan.
- Outcomes page: what graduates did, how you counted, and what you cannot say.
- Comparison page: your course against two named rivals, including where they win.
- Instructor pages: real names, roles and verifiable background.
What rules apply to outcome claims and reviews?
In the US, the FTC expects advertisers to have a reasonable basis for objective claims before they publish them. Its advertising substantiation policy statement is dated 23 November 1984 and treats the lack of one as an unfair or deceptive practice 6. A claim that graduates earn more or find jobs fast is an objective claim, so keep the evidence on file. Rules in other countries and for accredited programmes differ, and we have not covered them.
The FTC's rule on consumer reviews took effect on 21 October 2024. It targets fake reviews, review incentives tied to a positive or negative opinion, undisclosed insider reviews and review suppression 5. So do not write your own learner reviews, and do not reward only five-star scores.
Google adds a technical limit. Pages that use LocalBusiness or Organization markup are ineligible for star review results when the reviewed business controls the reviews about itself, including through an embedded widget 10. Put reviews on a platform you do not run, and link to it. This is general information, not legal advice.
Does course structured data help AI visibility?
Not for AI features, as far as Google says. It states that no special schema.org markup is needed for its generative AI results 3. Course markup remains optional help for classic search results.
Google's course list documentation, last updated on 8 September 2026, sets strict conditions. You must mark up at least three courses, add carousel markup on a summary page or an all-in-one page, and each course needs valid name and provider properties. Use it only for real educational content with an explicit outcome 2. Titles may not contain promotional phrases, prices or discounts, and misuse can lead to a manual action 2. Use it if you meet the rules, and do not expect it to change AI answers.
How do you measure whether AI is sending learners?
Start with a fixed list of prompts and log what AI tools say about you each month. Write ten prompts across the five types above, run each three times on two engines, and record whether your course is named, what is said and which sites are cited. The AI Prompt List Builder can draft the list.
Then add a free-text question to every enrolment form asking where the learner first heard of the course. AI visits often arrive without a clear source, so learners' own words fill the gap. Google reports traffic from its AI features inside the normal Performance report under the Web search type 3.
See how to set up self-reported attribution for the form wording.
What have Chalk Labs and Rahil Jain done in EdTech, and what have they not?
Chalk Labs has not published results for an EdTech or online learning business. The method (query research, answer pages, technical readiness, measurement) is what transfers; one reported example is Meru Trophy, a Bengaluru trophy shop, at 27,300 Google clicks in 16 months 9.
Those are Google search numbers from other fields, not AI-citation counts and not course sales. Rahil Jain runs Chalk Labs' AI SEO programme, and Chalk Labs sells AI SEO services, so we have a commercial interest. A small course provider can do most of this alone with the steps above.
Your first 90 days
Days 1-30
- Write ten learner prompts across best-for, comparison, price, outcome and fit types.
- Run each on two AI engines three times and log what is said about you.
- Check that course facts are in HTML text and that AI crawlers are allowed.
- Add 'How did you hear about us?' to enrolment forms.
Days 31-60
- Rewrite your top three course pages with price, length, prerequisites and certificate terms.
- Publish an outcomes page that states method, sample and limits.
- Send one identical review invitation to all graduates, with no reward tied to a score.
Days 61-90
- Publish one fair comparison page and one 'free vs paid' page.
- Rerun the prompt log and compare it with day one.
- Decide which pages to refresh monthly and which each term.
The first pages to publish
- One page per course, in plain text. Best-for prompts need level, length, price and certificate facts the AI can quote.
- Pricing and access page. 'Price' appeared in 8.9% of ChatGPT fan-out queries in September 2026 4.
- Syllabus page for each course. Learners and AI tools both check what is actually taught.
- Outcomes page with method and limits. Outcome claims need a reasonable basis, and a stated method earns trust 6.
- Certificate explainer. Buyers ask whether a certificate counts, and few providers answer plainly.
- Course vs degree vs free option guide. It answers the comparison prompt where outside sources matter most 4.
- Instructor pages. Google strongly encourages accurate authorship information, such as bylines, where readers expect them 11.
- Reviews page linking to a third-party platform. Self-controlled reviews on Organization or LocalBusiness markup are not eligible for star ratings 10.
Trust signals and risks
What AI looks for
- Named instructors with verifiable work histories.
- A published syllabus listing tools and projects.
- Reviews on platforms you do not control 10.
- A dated outcomes page with method and sample size.
- Clear certificate terms: who issues it and whether an employer or body recognises it.
- Visible refund and cancellation terms.
What can go wrong
- Unsupported job or salary claims that lack a reasonable basis 6.
- Fake, gated or reward-for-score reviews under the FTC rule 5.
- Mass-made course-and-city or course-and-skill pages that Google may treat as scaled content abuse 7.
- Course markup used outside Google's stated conditions 2.
- Prices and start dates that go stale while AI repeats the old figure.
Why Rahil Jain for EdTech and Online Learning?
Method applies
We have not published results of our own in EdTech and Online Learning yet. What transfers is the method, shown below.
We have not published results in EdTech yet. What transfers is the method: query research, answer pages, technical readiness and measurement. Chalk Labs reports that method working for a Bengaluru trophy shop (Meru Trophy) and a personal brand (shilikajain.com), both measured in Google search, not AI citations.
Rahil Jain
Rahil Jain is an AI SEO (answer engine and generative engine optimisation) consultant and co-founder of Chalk Labs.
Results we can show
These are Chalk Labs' own search results. They are not a forecast for your site: results depend on your market, competition and starting point.
How to read these numbers
Chalk Labs reports them from Google Search Console data. We cannot publish the raw console. The shilikajain.com site belongs to Shilika Jain, a Chalk Labs co-founder, so treat it as a demonstration on our own network and not as an independent client result. Meru Trophy is a client of Chalk Labs.
Frequently asked questions
Can an online course get recommended by ChatGPT?
Yes, ChatGPT can name courses, but no one controls whether it does. It often answers without searching, and when it searches it uses a few queries 4. Give each course a clear text page, keep price and certificate facts current, and earn honest reviews elsewhere. We do not guarantee any recommendation.
Do I need Course schema markup to appear in AI Overviews?
No. Google says no special markup is needed to appear in AI Overviews or AI Mode 3. Course markup is optional help for classic course results and has strict conditions, such as at least three courses and carousel markup on a summary page or an all-in-one page 2. Each course needs valid name and provider properties.
Can I publish graduate job and salary figures?
Only with a reasonable basis. The FTC expects advertisers to hold evidence for objective claims before publishing them 6. State the cohort, the date, how many graduates responded and how you counted. This is general information, so check the rules where you operate.
Are paid or incentivised student reviews allowed?
In the US, the FTC rule bars incentives tied to a positive or negative opinion and bars fake or undisclosed insider reviews 5. Ask all graduates the same way, offer no reward linked to a score, and disclose any incentive. Platforms may add their own limits.
How do I know if AI sent me a student?
Ask on the form. AI tools often send visits without a clear source, so a free-text 'How did you hear about us?' field is the simplest check. Pair it with a monthly log of your tracked prompts, and read Google's Performance report for AI feature traffic 3.
Sources
- 34% of U.S. adults have used ChatGPT, about double the share in 2023 · Pew Research CenterOpened October 20, 2026. Supports: Survey of 5,123 US adults fielded 24 February to 2 March 2025: 34% had used ChatGPT (58% under 30, 10% aged 65+); 26% had used it to learn something new (46% of under-30s). General public, not course buyers.
- Course list (Course) structured data · Google Search CentralOpened October 20, 2026. Supports: Last updated 8 September 2026: mark up at least three courses, carousel markup on a summary page or an all-in-one page, valid name and provider required, no promotional phrases or prices in titles, educational content with an explicit outcome, misuse can lead to a manual action.
- AI features and your website · Google Search CentralOpened October 20, 2026. Supports: A page must be indexed and snippet-eligible to appear in AI Overviews or AI Mode; no additional technical requirements, no special markup or AI text files; query fan-out may be used; AI feature traffic is reported in the Performance report under Web search type.
- How ChatGPT's query fan-out works (Ahrefs study of 66.6 million responses) · AhrefsOpened October 20, 2026. Supports: Article dated 12 October 2026: 14.4% of 66.6 million free ChatGPT responses (Aug-Sep 2026) contained fan-out queries, about 1.6 each; September English fan-out modifiers 2026 22.9%, official 13.1%, price 8.9%, reviews 3.6%; in a separate 20,000-prompt test official sites took 63.4% of citation share for factual and 46.4% for comparison questions. Ahrefs sells related tools.
- Consumer Reviews and Testimonials Rule: Questions and Answers · US Federal Trade CommissionOpened October 20, 2026. Supports: Rule effective 21 October 2024; covers fake reviews, incentives conditioned on sentiment, undisclosed insider reviews, review suppression and fake social media indicators.
- FTC Policy Statement Regarding Advertising Substantiation · US Federal Trade CommissionOpened October 20, 2026. Supports: Dated 23 November 1984: advertisers must have a reasonable basis for objective claims before disseminating them; lacking one is an unfair or deceptive practice under Section 5.
- Optimizing your website for generative AI features on Google Search · Google Search CentralOpened October 20, 2026. Supports: Last updated 10 July 2026: structured data not required; create original content from real knowledge; separate pages per fan-out variation made to manipulate results violate the scaled content abuse policy.
- Where do AI citations come from? · ProfoundOpened October 20, 2026. Supports: Article dated 30 July 2026: 11.84 billion citations, 29 industries, 8 models; no education category named in the article. Profound sells AI visibility tools.
- Chalk Labs case studies · Chalk LabsOpened October 20, 2026. Supports: Chalk Labs' own account: Meru Trophy 27,300 clicks and 2.3M impressions in 16 months; shilikajain.com ranking first for 'Fractional PR Manager Crypto' within a month. Google search figures from Search Console, no AI-citation counts.
- Review snippet (Review, AggregateRating) structured data · Google Search CentralOpened October 20, 2026. Supports: Pages using LocalBusiness or Organization markup are ineligible for star reviews when the reviewed entity controls the reviews about itself, including through a third-party widget; ratings must be sourced directly from users.
- Creating helpful, reliable, people-first content · Google Search CentralOpened October 20, 2026. Supports: Last updated 5 October 2026: Google strongly encourages accurate authorship information, such as bylines, where readers expect it; trust is the most important part of E-E-A-T; warns against fabricated profiles and false credentials.