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.

Can I use Owner.com and DoorDash together?

Yes — most restaurants do. DoorDash drives discovery; Owner.com captures repeat orders commission-free. That combination usually beats either alone.

How much can I save switching to Owner.com?

It depends on volume, but eliminating a 20–30% commission on direct orders is significant once you have steady repeat business. We model it per restaurant.

Does Owner.com give me a real app?

Yes — a branded iOS and Android app under your name, not a marketplace listing.

Bright Data Review 2026: Best Web Data Platform?

Quick answer

Bright Data is a web data platform offering proxy networks, no-code scrapers and ready-made datasets for collecting public web data at scale. Best for data, ecommerce and market-research teams that need reliable large-scale scraping with a strong compliance posture.

We put Bright Data through real client work before writing this. Here is the honest review — what it does well, where it falls short, and who should actually buy it.

What Bright Data does

Bright Data powers large-scale web data collection. Its proxy networks, scraping tools and pre-built datasets let teams gather public data — for pricing, market research, SEO or AI training — reliably and at scale.

Key features

Large proxy network

Residential, ISP and datacenter IPs for reliable collection.

No-code scrapers

Collect data without building crawlers from scratch.

Ready-made datasets

Buy structured data instead of scraping it yourself.

Compliance focus

Tools and policies aimed at responsible data collection.

Try Bright Data for yourself

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

Try Bright Data free → Read our full review →

Pros

Massive, reliable network
Multiple collection methods
Ready datasets save time
Compliance-minded

Cons

Pricing gets complex
Overkill for tiny needs
Steeper for non-technical users

Our verdict

Bright Data is the heavyweight in web data collection, with a scale and reliability few match. For teams that need serious pricing intelligence, research or AI training data, it's a top choice. Pricing is complex and it's overkill for small needs, but for data-driven operations it's best-in-class.

FAQ

What is Bright Data for?

Collecting public web data at scale — for pricing intelligence, market research, SEO and AI training.

Is web scraping legal?

Collecting public data can be legal but depends on use, jurisdiction and site terms. Bright Data emphasizes compliance; always get proper advice.

Do I need to code?

Not necessarily — no-code scrapers and ready datasets exist, though proxies suit technical teams.

Is there a trial?

Bright Data offers trials/credits — start through our link.

Affiliate disclosure: this article contains affiliate links. If you sign up through them we may earn a commission at no extra cost to you. We only recommend tools we use ourselves.