Real ChatGPT answer · index seed0kjyVQOpf5scompleteMarketing and advertising · AI search and generative engine optimizationinformational

What specific generative engine optimization strategies work best for small B2B service companies trying to win Perplexity AI citations?

ChatGPTgpt-62 queries11/1/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
What specific generative engine optimization strategies work best for small B2B service companies trying to win Perplexity AI citations?
2 real searches · 1 real-search pass
Perplexity AI citations ranking factors source selection pages crawlability structured data 2025 2026 B2B GEOGoogle ↗
OBSERVEDOther / navigational
generative engine optimization B2B service companies Perplexity citations case study researchGoogle ↗
OBSERVEDReason

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

ChatGPT real searches (2)
Short factOther / navigational50%ComparisonConsequenceReason50%DefinitionInstructionYes / no

Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT2 real searches · gpt-6
Perplexity AI citations ranking factors source selection pages crawlability structured data 2025 2026 B2B GEO Google ↗
generative engine optimization B2B service companies Perplexity citations case study research Google ↗

Queries

2 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Perplexity AI citations ranking factors source selection pages crawlability structured data 2025 2026 B2B GEO
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1
generative engine optimization B2B service companies Perplexity citations case study research
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1