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.

How is B2B marketing different from B2C?

B2B has longer sales cycles, multiple decision-makers, higher deal values, and demand that must often be created rather than captured. It rewards positioning, content authority, and sales-marketing alignment over impulse tactics.

PLG or sales-led - which should a SaaS use?

Product-led growth suits low-touch, self-serve products with fast time-to-value; sales-led fits complex, high-ACV products needing human guidance. Many SaaS companies blend both as they scale upmarket.

How much should a SaaS spend on marketing?

Early-stage SaaS often spends 40-60% of revenue on sales and marketing to capture share; mature SaaS settles toward 20-40%. The discipline is CAC payback under ~12 months and healthy LTV:CAC.

What channels work best for B2B?

SEO and content for authority, LinkedIn ads and ABM for targeting, email for nurture, and increasingly AEO so you are cited when buyers research with AI. The mix depends on ACV and sales motion.

B2B & SaaS Marketing: The Complete 2026 Guide

Longer cycles, more stakeholders, bigger deals. B2B and SaaS reward positioning, authority and tight sales-marketing alignment — not impulse tactics. This is the full system from demand gen to closed revenue.

Quick answer

B2B growth comes from creating demand and owning a sharp position, then capturing it with SEO/content, LinkedIn/ABM targeting, and email nurture. Score leads so sales focuses on the right accounts, align marketing to pipeline (not MQLs), and increasingly optimize for AEO so you’re cited when buyers research with AI.

The biggest B2B mistake is chasing volume metrics — MQLs, impressions — that never tie to revenue. Winning B2B marketing aligns tightly with sales around pipeline and closed deals, and builds the authority that makes buyers (and now AI engines) trust you before the first call.

1. Demand generation & positioning

Create demand and own a clear position — the foundation of B2B growth:

2. Lead generation & scoring

Find and prioritize the accounts worth your sales team’s time:

3. B2B channels

Where B2B buyers actually pay attention in 2026:

4. Sales enablement & tooling

Where marketing and sales meet — and where AI now helps:

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