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.

Lindy vs Zapier: Which Automates Better in 2026?

Quick answer

Lindy is a no-code platform for building AI agents that automate tasks across your tools — handling email, meeting scheduling, CRM updates, lead follow-up and more. Best for founders and teams that want AI to actually do work across their apps, not just chat, without hiring a developer.

Choosing between Lindy and Zapier comes down to what you actually need day to day. We use Lindy on real client work, so here is an honest, side-by-side breakdown rather than a spec dump.

The core difference

Lindy turns AI into a doer. You build agents ('Lindies') that trigger on events and act across hundreds of apps — replying to emails, updating your CRM, booking meetings — automating real workflows without code.

How they compare

Tool	Best for
Lindy	Best no-code AI agents that take action
Zapier	More integrations, less AI-native
Make	Powerful automation, less AI-agent focus

Try Lindy for yourself

We use Lindy and set it up for clients. Start free through our link, or have us run it for you.

Try Lindy free → Read our full review →

When Lindy wins

Genuine AI automation
No-code, fast to build
Huge integration list
Great for repetitive work

When to look elsewhere

Powerful = needs good setup
Newer platform
Costs scale with usage

Our verdict

Lindy is one of the more exciting no-code AI tools because its agents actually take action across your apps, not just generate text. For founders and teams buried in repetitive email, scheduling and CRM work, it can genuinely offload tasks. It's newer and rewards thoughtful setup, but as practical AI automation, it's impressive.

FAQ

What is Lindy?

A no-code platform for building AI agents that automate real tasks across your apps — email, CRM, scheduling and more.

Do I need to code?

No — you build agents visually with triggers, tools and instructions.

What can it automate?

Email replies, lead follow-up, meeting booking, CRM updates and many other repetitive workflows.

Is there a trial?

Lindy offers a way to start — try it through our link.

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