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.

BugHerd Review 2026: Best Visual Feedback Tool?

Quick answer

BugHerd is a visual bug-tracking and website feedback tool that lets clients and teams pin feedback directly onto a web page, capturing screenshots and technical context automatically. Best for web agencies and dev teams that are tired of messy feedback in emails and spreadsheets during website builds and QA.

We put BugHerd 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 BugHerd does

BugHerd turns chaotic website feedback into organized tasks. Reviewers click any element to leave a comment; BugHerd attaches a screenshot, browser and CSS info, and drops it onto a Kanban board for the team.

Key features

Point-and-click feedback

Reviewers pin comments right on the page.

Automatic context

Screenshots, browser, OS and CSS captured for you.

Kanban task board

Feedback becomes organized, assignable tasks.

Client-friendly

No logins or jargon for reviewers.

Try BugHerd for yourself

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

Try BugHerd free → Read our full review →

Pros

Kills messy email feedback
Auto tech context
Super client-friendly
Great for web builds/QA

Cons

Focused on web (not general PM)
Cost scales with team
Overkill for tiny projects

Our verdict

BugHerd solves a very real, very annoying problem: website feedback scattered across emails, calls and spreadsheets. Letting clients pin issues on the page while it auto-captures the technical context is a huge time-saver for web agencies and QA teams. It's web-focused rather than a full PM tool, but for its job, it's excellent.

FAQ

What is BugHerd?

A visual bug-tracking tool where clients and teams pin feedback directly on a web page, with screenshots and tech context captured automatically.

Who is it for?

Web agencies and dev teams that want organized, contextual website feedback instead of messy emails.

Do clients need an account?

No — reviewers can leave feedback without logins or technical knowledge.

Is there a trial?

BugHerd offers a trial — 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.