Lovable for AEO?
Lovable is great- it's a very powerful tool that is excellent for conceptualising ideas, creating websites and bench-testing ideas before production.
There has been a fair amount of noise online, particularly on X about user visits dropping off when people move their websites from WordPress to Lovable. Initially you might think that the reason for the decrease in traffic is due to moving web hosts, but in fact the reason is often that Lovable by default, creates Client-Side Rendered (CSR) React applications.
This means when an AI bot (or an LLM) like ChatGPT visits your site, the initial code it sees is effectively empty, usually just a blank <div> tag waiting for JavaScript to fill it with content.
There are some work arounds such as LovableHTML, although you may have to sacrifice usability.
Because Lovable is powered by Claude and Gemini, you can ask Lovable anything- so you can ask Lovable to help with your SEO and AEO. Lovable can create your Robots file, your LLMs file and can easily update these files too. Lovable can even update your JSON Schema markup, but here's what it can't do…
Lovable is a builder, not a manager. It is a brilliant architect that can construct a beautiful building in seconds, but it doesn't stick around to be the security guard, the maintenance crew, or the PR team.
While you can manually prompt Lovable to "add a schema markup" or "write a robots.txt file," you are effectively treating AEO (Answer Engine Optimization) as a one-time checklist item. In the age of AI search, that is a dangerous strategy- with new AI Agents being released almost monthly.
Here is the critical gap between building with AI (Lovable) and managing AI visibility;
1. Lovable Can't See Who Is Watching (The "Blind Spot")
Lovable builds the code, but it has no eyes on the traffic. It cannot tell you if GPTBot visited your pricing page yesterday or if ClaudeBot got stuck on your homepage.
● The Reality: You might think your site is optimized for AI, but without server-side analytics specifically tracking AI agent user-agents, you are flying blind.
● The EZY Difference: A dedicated AEO dashboard tracks specific AI bot visits in real-time, telling you exactly which models are crawling your site and which are ignoring it; https://www.ezy.ai/blog/ai-agents-detected-and-tracked
2. It Can't "Listen" to Competitors ("Citations & Prompts")
Lovable knows your project code, but it doesn't know the market. You cannot ask Lovable: "Is my competitor winning more citations on Perplexity than me right now?"
● The Reality: AEO is a race for citations. If your competitor has a better facts.json file or superior entity density, AI models will recommend them over you. Lovable cannot alert you to this shift.
● The EZY Difference: An AEO dashboard monitors your Share of Model- tracking how often your brand appears in AI answers compared to your rivals.
3. It Can't Automate "Living" Files ("You would need to ask Lovable, every week")
Yes, Lovable can generate a robots.txt file once. But the rules of AI exclusion change weekly. New bots launch (like Applebot-Extended), and old ones change their user-agent strings.
● The Reality: To keep your Lovable site safe and visible, you would need to manually prompt it every week: "Update my robots.txt to include the new OpenAI crawler."
4. It Can't Solve the "Empty Shell" Problem at Scale ("EZY can inject server-side data")
Lovable's default Client-Side Rendering (CSR) serves a blank <div> to bots. While you can ask it to "fix this," doing so often requires complex workarounds like pre-rendering or moving to "LovableHTML," which breaks the fluid "app-like" feel.
● The Reality: You are forced to choose between a site that feels good (CSR) and a site that ranks well (SSR/HTML).
5. It lacks "Brand Consistency" Across Platforms
Lovable builds one site. But your brand lives on Reddit, Quora, and industry forums- the exact places LLMs scrape for "truth."
● The Reality: Lovable cannot tell you if your Reddit sentiment is plummeting or if your brand is being hallucinated incorrectly in forums.
● The EZY Difference: A true AEO dashboard monitors off-page signals (like Reddit presence), ensuring the "truth" that LLMs learn about you is accurate and positive.
6. LLMs Hallucinate ("EZY models a deterministic layer")
If you ask Lovable to create you a LLMs file 3 times, it can generate three slightly different versions, because that's how generative models behave.
EZY uses NLP and deep learning to add a deterministic layer on top of our LLM response, so you get consistent, best-practice structured data every time, instead of three different answers to the same brief.
The Verdict: You Need Both
Lovable is the Engine; EZY is the Dashboard.
Use Lovable to innovate, prototype, and build stunning web experiences at the speed of thought. But once that site goes live, use a dedicated AEO Dashboard to ensure the AI models can actually see, understand, and cite the masterpiece you just built.
Right now, most established, busy websites that generate meaningful revenue are unlikely to move their entire stack to Lovable overnight. It's great for prototyping and for certain production use cases, and one day this might change- so we need to be ready if our customers decide to host their websites on Lovable while still expecting serious AEO.
So, what's the alternative, if none of the above works? EZY for Lovable sites.
Agencies and developers already talking publicly about Lovable + SEO quirks are perfect early adopters for "EZY, but focused on AI answers, not just Google."