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.

Paid Ads: The Complete 2026 PPC Guide

Paid ads buy growth on demand, but only if the unit economics work. This is the full system across Google, Meta and TikTok: structure, creative, benchmarks, cost, and the levers that cut CPA while you scale.

Quick answer

Use Google to capture existing demand, Meta to create it, and TikTok for younger, video-native discovery. On Meta, creative is the #1 lever; on Google, it’s structure + negative-keyword hygiene. Always spend against contribution margin: not vanity ROAS, and fix landing-page conversion before adding budget.

The fastest way to waste ad budget is scaling before the fundamentals work: a weak offer, a slow landing page, or creative that doesn’t stop the scroll. Paid amplifies whatever you point it at, so get conversion and creative right first, then pour in spend.

1. Google Ads & Performance Max

Intent capture. The platform that converts fastest when someone is already searching for what you sell:

2. Meta Ads

Demand creation at scale. Creative is the algorithm now, these cover testing, CPA and retargeting:

3. TikTok Ads

Where younger, video-native audiences discover brands, and where it does (and doesn’t) work:

4. Ad creative

The single biggest performance lever in 2026. Frameworks, copy and AI-assisted production:

5. Benchmarks & channel choice

Know what “good” looks like before you judge a campaign, and which channel fits your model:

6. Budget & cost

Real numbers on what ads cost and how much to spend by stage:

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