In short
In October 2026 we asked ChatGPT and Perplexity Kigali restaurant and hotel questions and checked the home pages of 20 local websites. Specific questions drew on businesses' own pages, while broad questions drew on directories. Most sites had basic gaps: 9 of 20 had no meta description and only 6 declared a business type in schema. None blocked AI crawlers. It is a small snapshot, not a census.
Data collected 5 October 2026. A small snapshot, not a census: read the limits section before quoting any figure.
Why we ran this audit
Our guides tell Kigali restaurants and hotels what to do for AI search. Advice is easier to trust when it is checked against real answers, so we asked two AI assistants a set of the questions guests actually type, recorded who was named and which sources were cited, and then checked the technical basics of 20 local restaurant, café and hotel websites. Vatam sells this kind of work, so we publish the method and the limits, and we have kept individual businesses out of the website findings.
Key findings
- Specific questions pulled in businesses’ own websites; broad “best of” questions mostly pulled in directories. In 5 of the 11 answers we recorded, at least one visible citation was a business’s own site. In the other 6, only third-party sites were visible.
- The same few names kept coming back. One restaurant was named in 5 of the 7 restaurant answers. Three international hotels appeared together in two of the four hotel answers.
- Pages with exact facts got quoted. ChatGPT repeated room capacities, a conference package price and an airport pickup fee that came from hotels’ own pages.
- Most local websites leave basic signals unfilled. Of 20 sites, 9 had no meta description, 8 had no H1 heading on the home page, and only 6 declared a business type in schema markup.
- Almost nobody blocks AI crawlers. None of the 20 sites blocked the AI crawlers we checked in robots.txt, so for these businesses the barrier is clarity, not access.
How we did it
Part 1: the AI answer panel
- Assistants: Perplexity and ChatGPT with search, both used without logging in, on 5 October 2026.
- Questions: 14 attempted. Eight went to Perplexity (six restaurant questions, plus two hotel questions it declined) and six went to ChatGPT (five hotel questions and one restaurant question).
- Recorded: 11 complete answers. Perplexity declined two hotel questions after its free limit (“Sign up and repeat your request”), and one ChatGPT answer (family hotels with a pool) had not finished loading, so those three are not counted. We did not create accounts to get around the limit.
- Each question was asked once. We noted the businesses named and the citation labels shown next to the answer. An answer may cite more sources than are visible.
Part 2: the website check
We fetched the home page, robots.txt, sitemap.xml and llms.txt of 20 restaurant, café and hotel websites in Kigali. The sites came from names that appeared in public web-search results and in the AI answers above; international chain sites were excluded. Each was fetched once by an automated script, and we read the raw HTML, so anything added later by JavaScript was not seen.
What the assistants cited
| Assistant | Question | Businesses named (examples) | Visible citations |
|---|---|---|---|
| Perplexity | Best restaurants for a business dinner of eight | Poivre Noir, Lilly Fine Dining, Repub Lounge, Heaven, MEZA Malonga | Two restaurant-branded sites, a hotel group, Tripadvisor, a stay guide |
| Perplexity | Where can I eat Rwandan food? | Repub Lounge, Green Corner, Piano Bar | Wanderlog and one more |
| Perplexity | Vegetarian or vegan restaurants | Afia Organics, Khana Khazana, Poivre Noir, The Hut | HappyCow, Kisimenti, Living in Kigali |
| Perplexity | Best brunch and coffee | Bourbon Coffee, Indabo Café, Java House, Inzora Rooftop Café | The Culture Trip and two more |
| Perplexity | Open late on Sunday | Repub Lounge, Riders Lounge, Taste Foods | Tripadvisor, Kisimenti |
| Perplexity | Restaurant with a view and outdoor seating | Repub Lounge, Heaven | Tripadvisor and one more |
| ChatGPT | Hotels for a business trip near the convention centre | Radisson Blu, Marriott, Serena, Park Inn, The Hut | Hotel brand site, Booking.com, Kisimenti, a government site |
| ChatGPT | Boutique hotel with airport transfers and a quiet garden | Saphir Hotel, Hideaway, Amata n’Ubuki, Villa Asimba, Nature Kigali | Two hotels’ own sites |
| ChatGPT | Hotels with meeting rooms for 40 people | Four Points, Ubumwe Grande, Marriott, Serena, Radisson Blu, Sainte Famille | Three hotels’ own pages |
| ChatGPT | Best budget guesthouses | Gorilla Home Stay, Yambi, Keva, UMUGANO, Xenia, Rwandeka | Booking.com |
| ChatGPT | Where can I eat Rwandan food? | Afrika Bite, Repub Lounge, Chez John, Nyurah | Afrika Bite’s own site, Kisimenti and others |
Naming a business here is a factual record of what the assistants said on that day. It is not a recommendation or a quality ranking.
Finding 1: specific questions reward specific pages
The clearest pattern was how the assistants used hotels’ own sites. Asked for a boutique hotel with airport transfers and a quiet garden, ChatGPT cited two hotels’ own pages and repeated details from them, including an airport pickup arrangement and its usual price. Asked for meeting rooms for 40 people, it quoted room capacities from hotel pages and a 2026 conference package price per day from another hotel’s own page. Those details exist only because those hotels published them in text. A hotel that keeps capacities in a PDF or an image gives the assistant nothing to quote.
Broad questions went the other way. For vegetarian options, brunch, late dining and views, the visible citations were directories and travel guides such as Tripadvisor, Kisimenti, HappyCow and Wanderlog. Where a question is broad, the directory listing and the reviews do most of the work, so your profile on those sites needs to be accurate and complete.
Finding 2: a few names dominate
One restaurant appeared in 5 of the 7 restaurant answers, across both assistants. A few international hotel brands appeared together in two of the four hotel answers. When assistants repeat the same shortlist, newer or smaller businesses are only added when a question matches them closely, which is why specific pages (a menu for vegans, a late Sunday opening hour, a meeting room capacity) matter more than a general “best in Kigali” claim.
Finding 3: what the 20 websites show
| Check (home page of 20 sites) | Result | Why it matters |
|---|---|---|
| Served over HTTPS | 20 of 20 | Baseline trust |
| Has a title | 20 of 20 | Basic signal for search and assistants |
| Has a meta description | 11 of 20 | The summary many search results show |
| Has a mobile viewport tag | 19 of 20 | Mobile layout |
| Exactly one H1 heading | 10 of 20 (8 had none) | Clear page topic |
| Any JSON-LD structured data | 12 of 20 | Machine-readable facts |
| Business type in schema (for example Restaurant or Hotel) | 6 of 20 | Tells machines what the business is |
| Over 300 readable words in the home page HTML | 10 of 20 (5 had under 100) | Text that crawlers without JavaScript can read |
| robots.txt present | 16 of 20 | Crawl instructions |
| Blocks AI crawlers in robots.txt | 0 of 20 | No access barrier |
| sitemap.xml reachable | 17 of 20 | Helps discovery |
| llms.txt present | 6 of 20 | Optional site summary for AI tools |
| Tap-to-call link on the home page | 7 of 20 | Easy contact on mobile |
| WhatsApp link on the home page | 1 of 20 | Common way to enquire locally |
Five of the 20 home pages contained fewer than 100 words of readable text in the raw HTML. Many modern sites build their content with JavaScript after the page loads. Search engines usually run it, but not every crawler or tool does, and a page that is blank without JavaScript is harder to read and to quote. Check yours with “view page source” and a text search for your address.
What this means for a restaurant or hotel
- Publish the specific facts as text. Capacities, prices, airport pickup, opening hours on Sundays, dietary options, parking. Each is a possible answer.
- Keep directory profiles accurate. Broad questions pull from Tripadvisor, Booking.com, Kisimenti and similar sites. Fix your name, hours, photos and menu there too.
- Fill the basics. A meta description, one clear H1, business-type schema and a text-based home page take hours, not weeks.
- Keep crawlers allowed. You are not blocking them today; do not start by accident when you redesign.
- Test your own questions monthly. Use the method in how to check whether AI assistants recommend your business.
For detailed steps, read AI search visibility for restaurants in Kigali, for hotels in Kigali and how to get your Kigali hotel recommended by ChatGPT.
Limits of this audit
- It is small. 11 answers and 20 websites. Treat each figure as an observation, not a statistic about all of Kigali.
- Each question was asked once, and AI answers change by wording, day and user. A repeat could differ.
- Logged out, one device and location. Results from Rwanda, or from a logged-in account, may differ.
- Only two assistants, and only their visible citations, not every source they used.
- Raw HTML only. Content added by JavaScript was not seen, so some schema or text may exist that we did not count.
- The website sample is not random. It leans toward businesses visible in search and AI answers, which may flatter the results.
- We did not verify the facts the assistants stated, such as prices and hours.
Repeat it for your own business
- Write 12 questions your guests really ask, from broad (“best brunch in Kigali”) to specific (“meeting room for 40 with projector”).
- Ask each in two assistants and record the businesses named and the sources shown.
- Note which questions mention you and which cite your own pages.
- Fix the pages and listings behind the gaps, then repeat in a month.
Want us to run this for your business? The free AI visibility audit includes a manual check of what ChatGPT, Gemini and Perplexity say about you, and a manual AI visibility report tests 25 prompts across five engines.
Sources and further reading
- OpenAI: overview of its crawlers
- Perplexity: crawler documentation
- Google: LocalBusiness structured data
- Google Business Profile help: improve your local ranking
- Google: SEO starter guide
See what the assistants say about your business. Request the free AI visibility audit.
Frequently asked questions
What did the Kigali audit find?
Specific questions, such as hotels with meeting rooms for 40 people, were answered using hotels' own pages, while broad questions such as vegetarian restaurants were answered mostly from directories and travel sites. Many local sites were missing basics such as meta descriptions and business schema.
Which assistants and questions were used?
Perplexity and ChatGPT with search, logged out, on 5 October 2026. We attempted 14 questions and recorded 11 complete answers. Perplexity declined two hotel questions after its free limit and one ChatGPT answer did not finish loading.
Do AI assistants cite restaurant and hotel websites?
In our small panel, at least one visible citation was a business's own site in 5 of 11 answers, mostly for specific questions. Broad questions mostly showed directories such as Tripadvisor and Kisimenti.
How can a Kigali business repeat the test?
Write 12 real guest questions, from broad to specific, ask each in two assistants, record who is named and which sources are shown, and repeat monthly. Fix the pages and listings behind any gaps.
How reliable are the figures?
They are observations from a small, single-day snapshot of 11 answers and 20 websites. Each question was asked once and AI answers vary, so treat the figures as directions, not statistics about all of Kigali.