How AI assistants perceive Lattice
What ChatGPT, Claude, and Gemini actually say when a buyer asks about Lattice, across 120 recommendation prompts, 420 head-to-heads, and 112 web-grounded searches.
Ask ChatGPT, Claude, and Gemini about Lattice and you get a recommendation. Ask what Lattice is, and the picture gets more specific. Across 120 recommendation prompts and 420 forced head-to-heads, here is what the models actually say.
How the models label Lattice
Every time a model weighed in, we captured how it described Lattice and sorted the descriptions into buckets.
The label the models use most often is talent management suite, in 47% of answers. The label Lattice is positioning toward, all-in-one people platform (HRIS, payroll, performance), appears in just 18%. The label a model reaches for quietly narrows the set of buyers it recommends the product to.
Head to head
Forced to choose between Lattice and a named rival, the models pick Lattice 53% of the time across 10 competitors.
The toughest matchup is Rippling, which holds Lattice to 21%. Its weakest attribute is core HRIS, at 25%, well off its 93% peak on performance and goals.
Who authors the record
Everything above is what the models remember from training. With web search on, Lattice appears in 79% of grounded answers. The more revealing question is who writes the pages behind those answers.
The most-cited domain is capterra.com, a third-party site rather than Lattice's own. The record the models read back is written by others.
What buyers actually search for
Buyer search language is shifting: the core-HR terms now draw roughly 19x the monthly volume of the older performance-management terms.
Methodology. 120 aided recommendation prompts and 420 forced head-to-heads across ChatGPT, Claude, and Gemini; a web-grounded battery recording which pages the models cite; and a crawl of Lattice's own pages plus the third-party pages the models cite. Part of the AI Perception Index. See the full interactive lab →