2025: "AI search is coming"
→ 14% used LLMs monthly
→ Most marketers ignored it
2026: AI search is here
→ 800M weekly ChatGPT users
→ 4.4x better conversions
The companies adapting now will own the next 5 years.
The rest will wonder what happened.
A B2B company had 14% AI visibility.
8 months later: 72%
📈 ChatGPT mentions: +847%
📈 Signups: +523%
They didn't change their product.
They changed where their content appeared.
Same effort. Different distribution. AI noticed.
Where does ChatGPT get its answers?
📌 Wikipedia: 47.9%
📌 YouTube: 18.8%
📌 Reddit, G2, third-party blogs
Where it doesn't look?
❌ Your company blog.
If your content only lives on your site, AI might never find it.
"Most B2B companies are invisible to AI search.
We built a free tool that shows:
• Your AI visibility score
• Who's beating you
• Where AI gets its answers
• How to fix the gap
Check yours: portal.gracker.ai
No credit card. Takes 2 minutes."
"AI doesn't guess which brands to recommend.
It reads:
→ Reddit threads
→ G2 reviews
→ Third-party blogs
→ YouTube transcripts
If you're not mentioned there, you're invisible.
We show you the exact pages AI cites.
portal.gracker.ai"
"We rank every brand in your category by AI visibility.
Who shows up when buyers ask ChatGPT ""best [your category] tools""?
Spoiler: It's probably not you.
See who's beating you (and why)
portal.gracker.ai"
"Your AI visibility score is live. 🎯
That number? It's how often ChatGPT and Perplexity recommend you when buyers search your category.
Most B2B companies have no idea where they stand.
We built a free tool to check yours in 2 minutes.
portal.gracker.ai"
SEO rankings last months. AI citations shift in weeks.
Your competitor publishes a fresher article? AI swaps you out. No warning.
Content that ChatGPT cited last month gets replaced by fresher sources this month.
Build a monthly refresh cycle or lose visibility every 30 days.
60-70% of GEO work is identical to good SEO. Quality content, clear structure, schema markup.
The other 30-40%? Passage extraction, citation building, content freshness, multi-engine visibility.
That 40% is where most companies fail. And where all the AI visibility lives.
Your SEO dashboard says #1.
ChatGPT says you don't exist.
This is happening to 80%+ of companies right now.
Google ranking and AI visibility are two completely different games.
0.737 correlation between third-party mentions and AI visibility.
AI engines cross-reference your claims against Reddit, G2, Wikipedia, and community forums before citing you.
If only your website says it, the AI skips you. Consensus decides who gets cited.
AI doesn't search your exact question. It splits it into 3-5 sub-queries and searches each one separately.
Most brands optimize for the main keyword. Winners optimize for every sub-query the AI generates.
This is called fan-out querying. It's how every major AI engine works.
This is the right framing.
We're seeing the same thing in the data: sites that tank their SEO fundamentals hoping AI will "save them" end up invisible in both.
AI search still pulls heavily from sources that rank well and get cited elsewhere. It's additive, not a replacement.
This is the right framing.
We're seeing the same thing in the data: sites that tank their SEO fundamentals, hoping AI will "save them," end up invisible in both.
AI search still pulls heavily from sources that rank well and get cited elsewhere. It's additive, not a replacement.
We track AI citation rates across ChatGPT, Perplexity, Gemini.
One pattern: top Google rankers often get zero AI mentions. Different game. It rewards cited sources, not backlinks.
Less about "positive spin," more about being in the answer at all.
Same page. Different intro. 3.2x more AI citations.
Standard intro (company story first) vs answer-ready intro (40-60 word direct answer first).
If your first 60 words don't answer the buyer question, the LLM moves on.
Check your top 5 pages right now.
Kveeky shipped 10 comparison pages in 30 days. Most companies take 6+ months.
Result: 0 to 200+ daily clicks. 19/28 AI prompts won. 2.8x more signups.
Speed is the differentiator. Ship comparison pages fast, compound results faster.
15-minute AI audit on a real SaaS product.
Result: 1 out of 15 prompts mentioned. 5 critical findings.
No answer-ready intros. Zero comparison pages. Stale content. No Reddit or G2 presence.
This is what we find on 80% of B2B sites.
Your blog alone won't get you cited by AI engines.
The playbook: publish on-site, then distribute to Reddit, G2, Dev.to, and YouTube over 4 weeks.
One client followed this exact sequence. AI mentions went from 0 to 22/32 target prompts.
Distribution > creation.
4 out of 5 cybersecurity companies were invisible to AI search engines.
Same category. Same 20 prompts. Only one company appeared across all 3 AI engines.
The difference? Comparison pages, Reddit activity, and monthly content updates.
Google rank didn't predict AI visibility.
MojoAuth was invisible on every AI engine. Zero mentions across 32 prompts.
5 months later: 847% increase in AI mentions. 22/32 target prompts won. Developer signups up 3.4x.
Reddit posts and Dev.to articles drove more AI citations than their own blog.
Not all content is equal for AI visibility.
Comparison pages and FAQ pages have the highest AI citation rate. Build those first.
Blogs without structure? They rank 6th. Most companies over-invest there.
One client shipped 10 comparison pages in 30 days. Result: 200+ daily clicks from zero.
SSOJet went from 35K to 95K clicks in 6 months using GEO.
Started with 0 out of 47 AI mentions. Competitors Auth0 and Okta dominated.
The fix: 23 pages restructured, 8 comparison pages, off-site distribution on Reddit and G2.
Result: 171% click growth. Now recommended by ChatGPT.
Our CMO Ankit Agarwal ranked page types by AI citation impact.
Comparison pages are #1. FAQ pages are #2. Blog posts - where most companies invest the most - rank #6.
Comparison + FAQ pages are where the real ROI is. Audit yours this week.
Our CEO @guptadeepak.com on comparison pages:
Early stage: 3-5 pages (top competitors only)
Growth: 10-15 pages (add category + alternative pages)
Scale: 25-40 pages (full competitor matrix)
Most important: update monthly. Stale comparisons get replaced in AI citations.
gracker.ai
AI engines prefer fresh content - 25.7% fresher than what Google ranks.
Most companies publish and forget. Winners have a refresh calendar.
Key: add dateModified schema to every page you update. That's the signal AI engines read.
Our CTO Govind Kumar analyzed SERP rankings vs LLM citations.
Result: Google ranking is a weak predictor of AI citation.
Google ranks pages. LLMs cite passages. If no 200-word chunk in your page answers a query directly, the LLM skips it.
SEO gets you ranked. It doesn't get you cited.
Not theory. Measured lifts from real clients.
The biggest movers for AI citations:
- Answer-ready intros: 3.2x more cited
- Citational density: +115% lift
- 3rd-party distribution: +180%
Most companies do 1-2 of these. Winners do all 7.
Our CMO Ankit Agarwal's content decision framework:
Update if: page already ranks, content >60 days old, AI gives wrong answers about your topic
Create new if: no page exists for a priority prompt, competitors own a comparison you lack
70% updates, 30% new = the winning split.
Our CEO @guptadeepak.com on AI optimization timelines:
Month 1 - nothing moves (hardest part)
Month 2 - first citations appear
Month 3 - consistent across platforms
Month 3-6 - compounding kicks in
SSOJet: 35K→95K clicks. MojoAuth: 847% AI mention increase.
No magic. But the compounding is real.