What is the difference between AEO and GEO?

AEO (Answer Engine Optimization) is specifically about getting cited as a source when AI engines answer questions. GEO (Generative Engine Optimization) is broader — optimizing for inclusion in any AI-generated output, including product recommendations, comparisons, lists, and summaries. AEO is a subset of GEO.

Do I still need traditional SEO?

Yes. AEO doesn't replace SEO — it complements it. Traditional Google search still drives the majority of organic traffic for most B2B and ecommerce businesses. AI Overviews appear on roughly 47% of searches, but they often pull from the top SEO results. Strong SEO foundations make AEO 5-10x more effective.

How do you actually track AI citations?

We run a defined prompt set (30-100 queries depending on package) across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews on a weekly cadence. We log whether your brand is mentioned, where you appear in the response, what context, and which competitors are cited alongside or above you.

How long until I see results?

Faster than traditional SEO, slower than paid ads. Schema and structural fixes get reflected by AI engines within 2-4 weeks. Citation increases on existing pages: 4-8 weeks. New AEO content getting indexed and cited: 8-16 weeks. Compounding effects: 4-6 months.

What is the pricing for AEO services?

Three packages. Starter at $2,500/month for SMBs. Growth at $5,500/month for $5M-$25M brands. Enterprise from $12,500/month for $25M+ brands. Quarter-to-quarter contracts with no 12-month lock-ins. INR pricing available for India clients.

Will AI eventually replace traditional search?

For some use cases, yes. For others, no. Research-heavy queries increasingly happen in AI tools. Transactional queries still happen in Google. The right strategy is to optimize for both surfaces — your content engine produces material that ranks in SERPs AND gets cited by AI.

Emergent.sh vs Lovable vs Bolt (2026): Honest Comparison

Disclosure: some links below are partner links — if you sign up we may earn a commission at no cost to you. Opinions are our own from hands-on setup work.

AI app builders now let non-developers ship real products from a plain-English prompt — but Emergent.sh, Lovable and Bolt take very different routes there. We’ve built client projects on all three; here’s the honest breakdown.

The short answer

Emergent.sh is the most “agentic” of the three: you describe the product and its AI agents plan, build, test and deploy a full-stack app — closest to hiring a tireless junior team. Lovable is the friendliest for polished web-app UIs with Supabase baked in. Bolt gives developers the most in-browser control over the generated code.

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Emergent.sh — best for shipping complete products

Strengths: end-to-end autonomy (frontend, backend, database, deployment), long-horizon task handling, and surprisingly production-ready output. Weakness: less granular control mid-build than Bolt. If your goal is “idea → working app with payments and auth,” this is the one we reach for. Full review: Emergent.sh review.

Lovable — best for beautiful web apps, fast

Strengths: excellent UI taste out of the box, tight Supabase integration, gentle learning curve. Weakness: complex backend logic and integrations can hit walls that need engineering help.

Bolt — best for developers who want the wheel

Strengths: in-browser dev environment, direct code editing, wide framework support. Weakness: assumes comfort with code; non-technical founders stall sooner.

Head-to-head

Factor	Emergent.sh	Lovable	Bolt
Best for	Complete products, non-coders	Polished web apps	Devs wanting control
Autonomy	Highest (agentic build+deploy)	Guided generation	Assisted coding
Backend	Full-stack incl. auth/payments	Supabase-centric	DIY in browser
Code control	Medium	Medium	Highest
Learning curve	Lowest	Low	Moderate

Verdict

Non-technical founder shipping a real product: Emergent.sh. Design-led web app: Lovable. Developer who wants AI speed with full code access: Bolt.

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Related: Emergent.sh full review · Gamma review · Lindy AI review.

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