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.

5 AI Tools We Actually Use for Client Work (2026)

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.

We set up marketing and ops stacks for clients weekly. These are the AI tools we actually deploy in 2026 — each earned its place on real projects, and each has a free way in.

1. Emergent.sh — build real apps from a prompt

The most autonomous AI app builder we’ve used: describe a product, get a deployed full-stack app. We’ve shipped client MVPs in days. Full review.

Try Emergent.sh →

2. Apollo.io — B2B leads + outreach in one

270M+ contact database with sequences and a dialer built in. The default first tool for any outbound motion. Full review.

Try Apollo free →

3. Gamma — decks and one-pagers from an outline

Turns rough notes into presentable decks, docs and simple sites in minutes. Our go-to for proposals. Full review.

Try Gamma →

4. Lindy — AI assistants for repetitive workflows

No-code AI agents for inbox triage, meeting notes, CRM updates. Best ROI on ops-heavy teams. Full review.

Try Lindy →

5. Bright Data — web data at scale

When a project needs competitor pricing, SERP or marketplace data reliably, this is the infrastructure we use. Full review.

Try Bright Data →

How to choose

Building a product → Emergent. Filling pipeline → Apollo. Communicating → Gamma. Automating ops → Lindy. Feeding data-hungry projects → Bright Data. Stuck on which fits your stack? That’s literally our job.

Want us to set this up for you? Free 24-hour consult.

Talk to us →

Not sure which is right for you?

Tell us your website and what you're trying to fix. We'll recommend the right tool for The 5 AI tools we actually use for client work in 2026 — and send a prioritized action list. No pitch, 48-hour turnaround.