SEO & GEO for B2B SaaS

Your buyer asked AI which tool to pick. It named a competitor → then named you.

We put your product inside the AI answer and on top of the comparison SERP, the two places B2B software actually gets chosen now.

Book a Strategy Session → See the Alore results

500+SaaS clients, 3 continents

$1M ARRAlore, in 18 months

From ₹75kMonth to month

ChatGPT Perplexity AI Overview

?Best for a 50-person teamedit

Answer

Cited sources

g2.com / best-project-management-softwarereview site

reddit.com / r/saas threadcommunity

competitor.com / comparevendor

yourbrand.com / project-management-for-teamscited #1

The model now recommends you, not the review-site grid.

Your reality right now

This is page one for your best keyword.

Search "best project management software" and count how many results are actually you. In SaaS, the highest-intent SERP is owned by everyone except the vendors.

6.3%

of all "category software" results are G2 alone, more than the seven largest SaaS vendors combined.

Minuttia software-keywords study, 1,485 keywords

best project management software

01G2Best Project Management Software in 2026Review site

02CaTop 20 PM Tools, ComparedReview site

03ReWhat PM tool does everyone actually use?Community

04Li15 Best Project Management PlatformsAffiliate

08Your product pageYou are here

Why us, not another agency

We have operated SaaS, not just marketed it. We ran this exact engine on our own product first.

Vikas Jha

Founder, J6 Venture · Founder & CEO, Alore · ex-VC

Before J6, Vikas built Alore, a SaaS growth and revenue-automation platform, and scaled it across Singapore, the US and India. He knows product-led growth, freemium attribution and the buying committee from the inside, because he lived them. Your SEO is run by someone who has carried a SaaS number, then built the SERP-and-citation playbook we now run for other SaaS teams.

500+

Alore customers

$1M

ARR in 18 months

Continents: SG, US, India

How we do it · the engine

One system that wins the SERP, the comparison layer, and the AI answer at once.

Software is bought through trust proxies, so a generalist optimizing your product pages fights a battle the SERP was built to lose. We run a connected loop instead, and each turn feeds the next.

Own the comparison layer

Build the "vs", alternative and integration pages that carry the highest buying intent, on your own domain, so the buyer meets you instead of a review-site grid.

→ ranks you control for the terms that convert

Seed the trust proxies

Deliberate, earned presence on the review sites, subreddits and community sources the engines lean on, so the proxies that box you out start working for you.

→ third-party signals the AI reads as authority

Structure for AI citation

Quotable, sourced, machine-readable content and entity signals so ChatGPT, Perplexity and AI Overviews name you as the source, across corpora that barely overlap.

→ your brand inside the answer, not the also-rans

Compound

Every ranking and citation asset keeps producing pipeline after the spend stops, and each turn of the loop makes the next cheaper. Paid stops the day the budget does.

→ a moat, not a monthly bill

The first 90 days, and what you get

A real operating team. Movement you can see in your own analytics.

Days 0–30

Map and quick wins

We audit your category SERP, comparison gaps and where AI sends buyers today, then ship the fastest-moving fixes on pages you already have.

YOU SEE: your citation gap and a prioritized plan

Days 30–60

Build the layer

Comparison, alternative and integration pages go live, trust-proxy and community seeding begins, and the entity plus schema groundwork lands.

YOU SEE: first ranking moves on money terms

Days 60–90

Cite and compound

AI-citation content ships, coverage widens, and the loop starts feeding itself as early assets rank and get referenced across engines.

YOU SEE: your brand named in AI answers, pipeline

Every month, in your account

Comparison & alternative pages that own bottom-funnel intent

Trust-proxy & community seeding on G2, Reddit and the sources AI cites

AI-citation content, entity work and schema

GEO visibility tracking across ChatGPT, Perplexity, Gemini and Google

A monthly readout tied to pipeline and share of answer, not impressions

Why the math works

The forces moving in your favor.

These are the market shifts the engine is built to capture. Third-party research, every figure traced to a primary source, so you can check the ground we are standing on.

5.8×

Organic leads per dollar vs paid

SEO ~$31 / leadbest

PPC ~$181 / leadrising

A ranking asset's marginal cost trends to zero while paid CPCs keep climbing.

HubSpot 2025 benchmarks

45%

Weight buyers give AI citations

Cited / review-site mentionsmost trusted

Buyers weight cited mentions inside AI answers most heavily. Citation share is the new #1 ranking.

G2 buyer research, n=1,076, Mar 2026

80%

Say AI accelerated their purchase

Buyers, B2B software+ warmer

They also view a vendor more favorably when an AI names it. Being cited is a pipeline lever, not vanity.

G2 buyer research, Mar 2026

Proof · we ran it on our own SaaS

Alore: 500 to 60,000 monthly visitors, and named in the answers.

Before we sold this to anyone, we ran the full engine on Alore, our own SaaS. Real Google Search Console data. Every number is ours to stand behind.

“We did not just rank. We got Alore into the conversation buyers were already having with AI, in the categories where we compete.”

Vikas Jha, Founder · on running the engine at Alore

Core category term

120×

Organic visitors, from 500

DR 30→50

In ~6 months

4 / 4

Engines naming Alore

Organic sessions · 18 months+275%

Start6 mo12 mo18 mo

Illustrative · how Alore now shows up in AI answers

Named in ChatGPT Named in Perplexity Cited in AI Overviews

Pricing, said plainly

No annual lock-in. No black box. One clear number.

SaaS engagements

₹75,000 / month

Month to month, cancel anytime. Scoped to your category, your competitors and where AI is sending your buyers.

Most engagements open with a paid 30-day first sprint: your citation gap, the plan, and the first shipped assets, before you commit to anything longer.

Every month includes

Comparison, alternative and integration pages

Trust-proxy and community seeding

AI-citation content, entity and schema work

GEO tracking across 4 engines + monthly pipeline readout

Straight answers

Questions a SaaS CEO actually asks.

No dodging the two that matter most: what it costs, and who else we have done this for.

What does it cost, and what is the commitment?

SaaS engagements start at ₹75,000 per month, month to month, with no annual lock-in. Most begin with a paid 30-day first sprint so you see the citation gap, the plan and the first assets before committing to anything longer. If it is not working, you leave.

Who else have you actually done this for?

We ran the full engine on our own SaaS first, Alore, which we scaled to 500+ customers and $1M ARR, and took from 500 to 60,000 monthly organic visitors. Client work sits under NDA, so we do not plaster logos, but we bring named references and real dashboards to the strategy session. We would rather show you our own numbers than borrow someone else's.

How is this different from our current SEO agency?

Most agencies optimize your product pages for a SERP that G2 and Reddit already own, and they have never carried a SaaS number. We win the comparison layer and the AI answer instead, and it is run by an operator who scaled a SaaS. Different battlefield, different team, and we proved it on our own product before yours.

Can you guarantee #1 rankings?

No, and anyone who does is selling you something. We guarantee the method, the cadence, and full visibility into what we ship and what moves. Rankings and citations are the outcome of the system, not a line on a contract.

Isn't AI going to kill SEO anyway?

It is killing the click, not the demand. Buyers still research, they just do it inside ChatGPT and Perplexity now. The work moves from ranking to being cited, which is exactly what this engine is built for. Doing nothing is the real risk.

This is "AI plus human." How do I know it isn't AI slop?

Because the models we target reject slop too. Every asset is human-reviewed against a measured house standard before it ships, with sources cited, and the AI scales the research and drafting, not the judgment. If the content would not earn a citation, it does not go out.