What happens when someone asks ChatGPT to recommend a movie instead of searching Google for a list of films?
The answer could have important implications for businesses.
Traditionally, brands have focused on ranking their websites in search results for relevant keywords. But AI-powered search introduces another consideration: whether a product, company or service appears in an AI-generated answer when someone asks for a recommendation.
And appearing in one answer doesn’t guarantee appearing in another.
To explore this, we examined seven ChatGPT responses involving Ramayana: Rise of a Legend, the Indian mythological fantasy film released on November 5, 2026.
The experiment produced an interesting result.
ChatGPT recommended Ramayana as a new fantasy movie but did not recommend it as a first choice for someone unfamiliar with Indian cinema.
The film hadn’t changed. The user’s question had.
This small case study illustrates how AI search visibility can depend on search intent, context and the type of recommendation a user requests.
For businesses investing in search engine optimization (SEO), answer engine optimization (AEO) and generative engine optimization (GEO), the implications deserve attention.
What Is AI Search Visibility?
AI search visibility refers to how frequently and prominently a brand, product, service or website appears in responses generated by AI-powered search and answer systems.
For example, someone looking for project management software might ask:
- What is the best project management software?
- Which project management tool is suitable for small agencies?
- What are affordable alternatives to Asana?
- Which project management software is best for remote teams?
These questions are related, but they represent different customer needs.
An AI assistant may recommend one company for the first query and different companies for the others.
This is where GEO becomes relevant.
Generative engine optimization focuses on improving a brand’s discoverability and representation in AI-generated responses through useful, accurate, accessible and authoritative information.
It overlaps with traditional SEO but introduces additional measurement questions.
Instead of examining search rankings alone, marketers may also want to know whether their brand is mentioned, recommended, compared accurately or supported by citations in AI-generated answers.
The Experiment: Seven ChatGPT Queries About Ramayana
We examined seven ChatGPT responses collected on November 11, 2026.
The questions covered film discovery, recommendations, audience reviews, criticism, comparisons and box-office information.
The objective was to understand whether Ramayana appeared in different types of AI answers and how the assistant presented it.
ChatGPT visibility results
| Query | Ramayana mentioned? | Observation |
| Is Ramayana (2026) worth watching? | Yes | Recommended with some reservations |
| What are the best new fantasy movies in November 2026? | Yes | Ranked first in the response |
| Recommend an Indian movie for someone who has never watched Indian cinema | No | Recommended 3 Idiots first and mentioned other established films |
| What do international audiences think of Ramayana? | Yes | Discussed positive audience ratings and mixed critical reception |
| What are the biggest criticisms of Ramayana? | Yes | Identified weaknesses involving storytelling, pacing and execution |
| How does Ramayana compare with RRR and Baahubali? | Yes | Compared the three films and expressed preferences |
| How much has Ramayana earned worldwide? | Yes | Provided box-office estimates |
Result: Ramayana appeared in six of seven responses.
However, this headline number requires context.
Five of the seven queries explicitly mentioned Ramayana, making its inclusion expected.
The two unbranded discovery questions are more interesting because the assistant had to choose which films to recommend.
Ramayana appeared in one of those two responses.
This was an exploratory analysis of collected outputs, not a controlled or repeated experiment. The results should not be interpreted as a statistically representative measure of ChatGPT’s overall recommendation behaviour.
Finding 1: AI Recommendations Can Change With Search Intent
Consider the two discovery queries.
Query A: What are the best new fantasy movies to watch in November 2026?
ChatGPT ranked Ramayana first, describing it as a strong choice for viewers interested in mythology, epic fantasy and large-scale cinematic storytelling.
Query B: Recommend an Indian movie for someone who has never watched Indian cinema.
ChatGPT recommended 3 Idiots as its first choice.
It also suggested RRR, The Lunchbox, Andhadhun and Baahubali for viewers with different preferences.
Ramayana was absent.
Why did the recommendations differ?
The wording of the questions suggests different selection criteria.
The first question emphasised recent releases and fantasy.
The second emphasised suitability for someone unfamiliar with Indian cinema.
The assistant’s responses were consistent with those differing contexts: one favoured a recent fantasy release, while the other favoured films presented as accessible introductions to Indian storytelling.
We cannot determine the exact internal reasoning or sources responsible for those choices.
Nevertheless, the observation demonstrates that a brand can appear in one relevant discovery context and be absent from another.
What this means for businesses
Imagine a cybersecurity company.
A potential customer might ask an AI assistant:
“What are the best cybersecurity companies?”
But another customer might ask:
“Which cybersecurity provider is best for a small healthcare business?”
A company could appear in the first answer and not the second.
For the business, the second question might be more commercially important because it reflects a specific customer need.
This is why measuring AI visibility through one broad prompt can be misleading.
Businesses should examine the questions their actual customers are likely to ask.
Finding 2: AI Visibility Is More Than Being Mentioned
Another observation from the Ramayana responses is that the assistant presented the film in several different ways.
When asked whether it was worth watching, ChatGPT gave a positive recommendation with qualifications.
When asked about international audiences, it discussed favourable viewer ratings alongside mixed critical reactions.
When asked about criticisms, it concentrated on negative aspects such as pacing, emotional depth and visual execution.
When asked to compare Ramayana with RRR and Baahubali, it generally favoured the older films in certain categories.
Ramayana was visible in all four cases.
But the nature of that visibility differed significantly.
Mention, recommendation and sentiment are different metrics
A useful GEO analysis should distinguish between:
Brand mention: Does the AI response include the brand?
Recommendation: Does the assistant actively suggest the brand as a suitable option?
Position: Where does the brand appear within a list or comparison?
Sentiment: Is the brand presented positively, negatively or neutrally?
Accuracy: Does the response describe the brand’s products, services and capabilities correctly?
For example, a company may appear frequently in AI-generated answers but primarily in discussions of customer complaints.
A high mention count would not necessarily represent a favourable marketing outcome.
For this reason, GEO reporting should evaluate the context and quality of visibility rather than treating every mention as equivalent.
Finding 3: AI Responses Can Combine Multiple Types of Sources
The collected Ramayana responses referenced several kinds of information sources.
These included review aggregators such as Rotten Tomatoes and Metacritic, entertainment publications, film industry websites, box-office trackers and audience-discussion platforms.
These are source names observed in the supplied responses. We did not independently verify every underlying citation URL or establish which individual source influenced each statement.
Even with that limitation, the responses highlight an important area for GEO research.
AI-generated answers can incorporate information from sources other than a brand’s own website.
For a film, those sources may include critics, audience ratings, entertainment reporting and box-office data.
For a business, relevant sources might include:
- Official product and service pages.
- Independent industry publications.
- Product comparison websites.
- Customer review platforms.
- Research reports and original datasets.
- Specialist articles and relevant community discussions.
What businesses should investigate
A company evaluating its AI visibility should not look only at whether its own website is cited.
It should also investigate how the business is represented across independent sources that appear in relevant answers.
That doesn’t mean purchasing artificial mentions or placing backlinks indiscriminately.
It means maintaining accurate information, publishing genuinely useful content and developing legitimate industry visibility.
A credible digital PR strategy may support both conventional search discovery and broader brand awareness.
However, an individual backlink or media mention cannot be assumed to cause an AI system to recommend a brand.
Finding 4: AI-Generated Answers Need Accuracy Checks
The Ramayana responses also raise an important issue concerning rapidly changing information.
One response reported worldwide box-office collections of approximately ₹823.50 crore after six days.
However, some daily figures presented in that same answer did not reconcile cleanly with the reported cumulative total.
Box-office reporting can also differ between tracking services because of revisions, reporting cutoffs and calculation methods.
This makes factual verification essential.
A confident-looking AI answer is not necessarily an accurate one.
Why accuracy matters for GEO
Consider a business that recently introduced a new service or changed its pricing.
An AI assistant might continue describing an outdated offering or cite an older third-party article.
Even if the company appears prominently in the response, incorrect information could affect customer expectations or purchasing decisions.
Businesses should therefore monitor:
- Whether AI answers describe their products accurately.
- Whether pricing, locations and services are current.
- Whether citations support the claims being made.
- Whether outdated third-party content contributes to confusion.
- Whether competing businesses are being represented more accurately.
Accurate brand representation should be a core part of AI visibility measurement.
Finding 5: Unbranded AI Discovery May Matter More Than Branded Questions
There is a critical difference between these two questions:
“Is Ramayana worth watching?”
and
“What are the best new fantasy movies to watch?”
The first question already names the film.
The second asks an AI assistant to select suitable options.
For businesses, an equivalent distinction would be:
“Is Reliqus Consulting a good SEO agency?”
versus
“Which SEO agencies can help a small business improve its visibility in AI search?”
The second question represents an opportunity for discovery by someone who may not know the company exists.
That is why unbranded recommendation queries deserve particular attention in GEO research.
Why this matters commercially
A company might perform well when users search for its name because information about the business is readily available.
But it could be missing from AI-generated answers for the categories, problems and buying situations that are most relevant to its services.
Measuring only branded questions may therefore provide an incomplete picture.
A practical AI visibility audit should include both branded and unbranded prompts, with greater emphasis on the queries most relevant to customer acquisition.
How Can Businesses Improve Their AI Search Visibility?
The Ramayana observations illustrate useful measurement questions, but they do not establish a formula for appearing in AI recommendations.
There is no guaranteed technique that forces ChatGPT, Gemini, Perplexity or Google’s AI search features to recommend a particular business.
However, companies can take practical steps to improve the quality, accessibility and consistency of information available about them.
1. Research the Questions Customers Actually Ask
Traditional keyword research remains useful, but it can be supplemented with conversational question research.
Instead of monitoring only a broad keyword such as “SEO agency,” a business might examine prompts such as:
- What is the best SEO agency for a small e-commerce business?
- Which agency offers SEO and AI search optimisation?
- How much does SEO cost for a local business?
- What should I look for when hiring an SEO consultant?
These questions express different informational and commercial needs.
The goal is to identify relevant customer problems, not simply generate hundreds of minor prompt variations.
2. Publish Content That Answers Those Questions Well
Businesses should create useful pages that explain their services, expertise, processes and differentiators.
That may include service pages, case studies, comparisons, industry guides and original research.
Content should address the questions prospective customers are likely to ask.
For example, an agency offering international SEO could publish a detailed guide explaining how keyword research, content localisation and technical SEO differ across countries.
The purpose is to provide reliable information for users and search systems, not to manipulate AI-generated responses.
3. Strengthen Technical SEO and Website Accessibility
Search engines and other permitted crawlers need to access relevant content before it can be considered for their systems.
Businesses should maintain crawlable pages, appropriate indexing settings, clear internal links and meaningful page content.
Structured data can help search engines understand eligible content and support certain search appearances.
However, Google states that no special schema markup is required to appear in AI Overviews or AI Mode.
Structured data should accurately represent the page’s visible information rather than being treated as a shortcut to AI recommendations.
4. Build Genuine Industry Authority
Independent coverage, useful research, credible case studies and relevant industry relationships can help businesses establish a stronger public information presence.
For a digital marketing agency, this might include publishing original performance studies or contributing useful expertise to industry publications.
For a software company, it might include detailed product documentation, independent reviews and research that addresses real customer problems.
The emphasis should be on authentic, verifiable information rather than artificial brand mentions.
5. Monitor AI Visibility Over Time
AI-generated answers can change as systems, available information and user contexts change.
Businesses should therefore test relevant prompts periodically and record results consistently.
An effective monitoring framework could include:
| GEO metric | What to track |
| Brand inclusion rate | Percentage of selected relevant prompts mentioning the brand |
| Recommendation rate | Percentage actively recommending the brand |
| Average list position | Placement within AI-generated recommendations |
| Citation frequency | Number of responses citing the company’s pages |
| Third-party citations | External domains used in relevant answers |
| Sentiment | Positive, neutral or negative descriptions |
| Accuracy | Incorrect, outdated or unsupported brand information |
| Competitive visibility | Presence of competing brands for the same queries |
These metrics should be measured separately by platform, query category and market.
A visibility score is only meaningful when its underlying prompt sample and measurement methodology are transparent.
AI Search Visibility vs Traditional SEO: Do Businesses Need Both?
Yes, but the two should not be treated as completely separate marketing disciplines.
Traditional SEO focuses on helping relevant pages become discoverable through search engines.
GEO expands the measurement framework to consider how a brand appears in AI-generated answers, including recommendations, summaries and comparisons.
The underlying requirements overlap considerably.
Useful content, technical accessibility, accurate information and legitimate authority remain important.
Google’s official guidance specifically states that established SEO best practices continue to apply to its AI search experiences.
For businesses, the practical question is not whether to abandon SEO for GEO.
It is how to extend an existing search strategy to account for additional discovery experiences.
What Our Ramayana Case Study Tells Us About GEO
Our exploratory analysis examined seven ChatGPT responses.
Ramayana appeared in six.
But the most revealing observation came from the two unbranded discovery queries.
ChatGPT featured Ramayana when asked about new fantasy movies, while recommending established titles when asked for an introduction to Indian cinema.
The results demonstrate how different query contexts can produce different brand recommendations within the observed responses.
They do not establish the overall likelihood of Ramayana appearing in ChatGPT recommendations, nor do they establish its visibility across other AI platforms.
Larger, repeated tests would be needed to measure those patterns reliably.
Still, the case study illustrates a valuable lesson for marketers:
Being visible when customers already know your name is different from being recommended when they are still deciding which brand to choose.
And that second type of visibility is worth investigating.
How Reliqus Helps Businesses Understand AI Search Visibility
As AI-assisted discovery becomes part of how customers research products, services and companies, businesses need to understand how they are represented across relevant search experiences.
At Reliqus Consulting, our approach to AI search visibility builds on established SEO principles while examining how brands appear in conversational and AI-generated responses.
An AI visibility assessment can investigate:
- Which relevant customer prompts mention or recommend your business.
- How competitors appear in similar AI-generated answers.
- Whether brand information is accurate and current.
- Which sources are cited in relevant responses.
- Where content gaps may be affecting discoverability.
- Whether technical SEO, content quality or brand information needs improvement.
The objective is not to promise rankings inside AI systems.
It is to provide a clearer picture of how potential customers may discover and evaluate your business, then identify realistic opportunities to strengthen your online presence.
Is Your Business Visible When Customers Ask AI for Recommendations?
Your website might rank for important keywords, but that doesn’t tell you whether an AI assistant recommends your business when customers ask for solutions.
Understanding the difference is a useful starting point for a modern search strategy.
Explore Reliqus’s SEO and AI Search Visibility services to find out how your business is represented across relevant search experiences.
Frequently Asked Questions
What is AI search visibility?
AI search visibility describes how frequently and prominently a brand, product, service or website appears in AI-generated answers, recommendations and comparisons.
What is generative engine optimization (GEO)?
Generative engine optimization is the practice of improving the discoverability and representation of brands and content in AI-generated responses using relevant, accurate, accessible and useful information.
How can I check whether ChatGPT recommends my business?
Create a representative set of branded and unbranded questions that potential customers might ask. Test the questions, record brand mentions, recommendations and citations, and repeat the analysis over time.
Does ranking on Google guarantee visibility in ChatGPT?
No. Conventional search results and AI-generated answers are not identical. A website’s search performance does not guarantee that a particular AI assistant will mention or recommend it.
Does schema markup help with AI search?
Accurate structured data can support search engines’ understanding of page content and eligibility for certain search features. However, Google does not require special schema markup for AI Overviews or AI Mode, and adding schema does not guarantee AI citations.
Can GEO help generate leads?
GEO-related improvements may support brand discovery when potential customers use AI-assisted tools. However, lead generation and attribution must be measured rather than assumed. Visibility alone is not evidence of commercial return.