Every GEO guide tells you the same thing. Add FAQ schema. Sprinkle statistics. Get on G2. Keep it short and structured.
These tips all trace back to one study (the Princeton/IIT Delhi GEO paper from 2023), passed through hundreds of blog posts until the findings are unrecognizable.
We wanted to know if any of it holds up for B2B SaaS. So we tested it.
We queried ChatGPT, Google AI Overviews, and Perplexity with 124 unique B2B SaaS queries. Things like "best project management software for startups" and "CRM for small business." We collected 3,352 citations across 881 unique domains. Then we analyzed the top 50 most-cited pages for on-site signals and tested 12 specific hypotheses.
The results? Only 3 of 12 popular GEO claims survived contact with the data.
Here are the five findings that matter most.
1. Content length is the strongest signal. Not the weakest.
The most repeated GEO claim is that word count has near-zero correlation with AI citations. Ahrefs measured r=0.04.
Our data says otherwise. For B2B SaaS buyer queries, content length correlates with citations at r=0.393. Pages over 5,000 words average 15.3 citations versus 10.3 for mid-length pages. That's a 50% advantage.
The three most-cited pages in our dataset are all massive buyer's guides: project-management.com (9,227 words, 37 citations), wrike.com (11,017 words, 28 citations), paymoapp.com (17,890 words, 27 citations).
The explanation is simple. When someone asks AI "best project management software for startups," the AI needs a source that covers enough tools to build an answer. Short pages can't serve that function.
2. Reddit dominates ChatGPT, not Perplexity.
The popular claim: Reddit accounts for ~24% of Perplexity citations. Invest in Reddit for Perplexity visibility.
Our data flips this completely.
Reddit provides 14.7% of ChatGPT citations (4.7x more than vendor-owned content). On Perplexity? Zero. Literally 0%.
Perplexity favors vendor websites (18.1%) and YouTube (7.6%). ChatGPT favors Reddit and editorial content. If you're investing in Reddit content seeding for Perplexity, you're spending money on the wrong platform.
3. G2 and Capterra account for just 1.6% of citations.
Multiple guides claim that G2/Capterra presence is the strongest predictor of AI visibility for SaaS. Our data: review platforms account for 55 of 3,352 total citations. That's 1.6%.
Reddit alone has 6.1x more citations than G2 and 15.7x more than Capterra. The traditional review platform stack (G2 + Capterra + TrustRadius + Trustpilot + Software Advice) accounts for 78 citations combined. Reddit alone is 3.6x larger.
Having a G2 profile is table stakes for SaaS credibility. Optimizing it as your primary GEO strategy is a misallocation.
4. FAQ blocks and schema markup show zero advantage.
FAQ blocks: pages with them average 11.7 citations versus 12.4 without. The ratio is 0.94x. Slightly negative.
Schema markup: r=0.103 correlation with citations. Flat.
ChatGPT and Perplexity parse rendered HTML, not JSON-LD. They see your headings, tables, and lists. JSON-LD schema tells Google's parser about your content, but tells ChatGPT nothing it can't already extract from the page.
Stop spending engineering hours on FAQPage schema as a GEO tactic.
5. There are two AI ecosystems, not three.
Google AI Overviews and Perplexity share 55% domain overlap. They largely cite the same sources. ChatGPT overlaps with either at less than 6%.
This means you need two strategies, not one.
For ChatGPT: Reddit presence, long-form guides, comparison content. ChatGPT's web search only triggers on "best X" and comparison queries (94% and 75% trigger rates). FAQ queries trigger web search 0% of the time.
For Google AIO + Perplexity: vendor-owned content, YouTube, niche blog placements. These platforms reward professional publishing.
What to do with this
The winners in our dataset aren't the most "optimized" pages. They're the most useful ones. The page with 37 citations earned them by being the most thorough buyer's guide in its category. Not by adding FAQ schema or sprinkling statistics.
The full study, with all 12 hypotheses, per-platform breakdowns, the review source comparison table, and the complete playbook, is here:
Read the full report: GEO for B2B SaaS: What Actually Works
This research was conducted by Geology, the analytics platform for Generative Engine Optimization. Data collected May 2026.
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