Lynceus

AI visibility / Analytics

How AI describes Heap

As of September 25, 2026, Heap appeared in 280 AI answers across 1 assistant, with strongly positive sentiment.

Auto-capture digital analytics platform. Below: what AI search surfaces actually say when buyers ask about heap.io.

Compiled by Lynceus from third-party AI answer data

Data refreshed September 25, 2026

Surfaces checked for this report: Google AI Overview (50 answers). Not checked: ChatGPT, Claude, Gemini and Perplexity.

Total mentions

280

across AI search surfaces

Sentiment

+0.93

Strongly positive

Surfaces seen

1

AI search surface

Coverage by model

Which LLMs talk about Heap most?

Google AI Overview 50 mentions

Notable prompts

The questions where Heap surfaces

  • → "behavioral segmentation"
  • → "behavioural segmentation"
  • → "heap phone number"
  • → "what are heat maps"
  • → "heatmaps"
  • → "pmf meaning"

Source coverage

Where the LLMs get their information about Heap

heap.io 51 citations
youtube.com 34 citations
fullstory.com 19 citations
contentsquare.com 16 citations
amplitude.com 12 citations
support.google.com 11 citations
gainsight.com 11 citations
nu.edu 10 citations

Heap's own domain is the most-cited source (51 citations) — meaning the LLMs are reading Heap's marketing pages and quoting them directly. That's a clean signal: own-content is the strongest lever to change how AI describes you.

What to do about it

How Heap can change how AI describes it

Heap already appears in AI answers, so the work is about prominence and accuracy — moving from "mentioned" to "recommended," and making sure the framing is the one Heap would choose. Three levers do most of the work:

  1. 01Be extractable. Publish answers to real Analytics buyer questions in clean, self-contained passages a retrieval layer can lift without guessing. See how to optimize for AI citation.
  2. 02Earn the right citations. AI assistants quote sources they trust. Getting onto the third-party roundups and reviews they already cite moves the needle more than on-site changes alone.
  3. 03Measure, don't guess. Track Heap's share of paragraph across assistants over time so you know which changes actually shifted the answer. See how to measure AI visibility.

How we measured this

The methodology behind this report

This report is built from AI search answers that mention or cite heap.io, pulled from a third-party index of AI answers. We count them by surface, record which sources each answer cites, and score how positively Heap is framed. Surfaces checked for this report: Google AI Overview (50 answers). Not checked: ChatGPT, Claude, Gemini and Perplexity. Until all four assistants are collected, read this page as a view of the surfaces named above, not of AI search as a whole.

A "mention" means the answer named Heap or cited a page on heap.io; sentiment is a keyword score of how positively the answer reads. The questions are the search queries that index holds for heap.io, not a prompt panel Lynceus wrote, so some are only loosely related to Analytics. Quotes appear only when at least 3 whole sentences from the data are about Heap. This snapshot was last refreshed September 25, 2026.

Source: DataForSEO LLM Mentions, a third-party index of AI search answers, retrieved September 25, 2026. Lynceus did not write or run the questions behind these answers.

Limitations

  • Surfaces checked for this report: Google AI Overview (50 answers). Not checked: ChatGPT, Claude, Gemini and Perplexity.
  • Sentiment is a keyword count over the answer text, not a human rating.
  • This is one snapshot, not a trend. AI answers change between runs.

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