How is this different from share-of-voice in social or search?

AskLLM measures recommendation behavior inside large language models using realistic buyer prompts - a different channel from social listening or keyword rank.

Can we compare one named competitor?

Yes. You enter a competitor during setup and see direct comparison in your report.

How often should we re-audit?

AI models update frequently. Monthly re-audits help track whether your visibility improves after campaigns or PR pushes.

How does this audit help with AI search and GEO?

Traditional SEO targets static engine result pages (SERPs). Generative Engine Optimization (GEO) measures how AI models like ChatGPT and Gemini evaluate your positioning, integration proof, and third-party review corroboration when buyers ask for vendor shortlists.

Generative Engine Optimization (GEO) Benchmark · B2B Brands · Updated Oct 2026

See if ChatGPT and Gemini recommend your B2B brand, or your competitor

Committee research increasingly starts in LLM chat; vendors missing from those shortlists rarely make the RFP.

Type in your brand and a primary competitor. See your AI Share of Voice across real vendor-shortlist buyer prompts in under 2 minutes.

Explore specialist categories such as SaaS, HR software, and marketing automation — or run one audit to baseline AI visibility before your next analyst or content push.

Name your competitor at setup — your report shows head-to-head share of voice on real ChatGPT and Gemini buyer prompts.

Uses 1 credit · ~2 min setup

Vendor shortlists
Analyst relations
Category positioning

Who controls b2b brands recommendations today?

Share of voice across buyer prompts in b2b brands

Salesforce
Category incumbent
33%
Microsoft
High recall
29%
Oracle
Moderate recall
18%
Unclaimed visibility gapSee if your brand can claim this →
Unclaimed visibility gap
20%

Mention share is a directional snapshot from category audits and public research, not a live crawl of every chat. We run the same buyer-style prompts on ChatGPT 5 and Gemini 2.5 Flash-Lite each time so you can compare runs month to month.

The prompts your buyers are typing into chat right now

Copy a line into your deck, or run the audit and we ask it on ChatGPT 5 and Gemini 2.5 Flash-Lite.

ChatGPT 5Gemini 2.5 Flash-Lite
“Best B2B software vendors for mid-market sales teams?”
ChatGPT 5Gemini 2.5 Flash-Lite
“Which CRM do enterprise buyers shortlist from ChatGPT?”
ChatGPT 5Gemini 2.5 Flash-Lite
“Top HR platforms for global contractor payroll?”

How do ChatGPT and Gemini choose which brands to recommend?

Winning visibility in LLM chat threads requires a shift from traditional keyword SEO to Answer Engine Optimization (AEO). Models don't rank keywords; they synthesize consensus from a trusted set of foundational surfaces.

Why AskLLM vs. manual checks

Factor	AskLLM	Manual tab-swapping
Time to result	Minutes (guided flow)	Hours across fragmented tabs
Models covered	ChatGPT 5 and Gemini 2.5 Flash-Lite	Usually one model at a time
Scored output	Standardized visibility index + breakdown	Unstructured notes
Repeatability	Same prompt weighting every run	High variance by teammate

For complex B2B buys, use the same competitor each quarter so you can separate narrative changes from model noise.

Stop losing the AI shortlist to category incumbents

Uses 1 credit on paid plans · Results in under two minutes

Uses 1 credit · ~2 min setup

How scoring works · All categories

Common questions

How is this different from share-of-voice in social or search?: AskLLM measures recommendation behavior inside large language models using realistic buyer prompts - a different channel from social listening or keyword rank.
Can we compare one named competitor?: Yes. You enter a competitor during setup and see direct comparison in your report.
How often should we re-audit?: AI models update frequently. Monthly re-audits help track whether your visibility improves after campaigns or PR pushes.
How does this audit help with AI search and GEO?: Traditional SEO targets static engine result pages (SERPs). Generative Engine Optimization (GEO) measures how AI models like ChatGPT and Gemini evaluate your positioning, integration proof, and third-party review corroboration when buyers ask for vendor shortlists.