heeb

✓ verified, sync 2026-08-20

10 checks on record, most recent 2026-10-26 (responded).

Community scorenot yet rated

First indexed2026-08-20

Observation record.

What was checked ourselves, with dates. Not vendor copy, not a rating.

Most recent check 2026-10-26

Result: responded.

Checked on 10 distinct dates, since 2026-09-02. Checked roughly every 6 nights on this listing's own record.

2026-10-262026-10-202026-10-142026-10-082026-10-022026-09-262026-09-252026-09-202026-09-142026-09-02

What this means: the 3-miss rule marks a listing discontinued only after three consecutive failed checks; a bot-wall response never counts toward that streak. the methodology

Price events.

auto-diffed on every sync: the changelog other directories don't keep

The price was checked on 2026-09-25 and no change was observed since.

No approved price events on record

No approved price change is on record.

Compliance observation.

On this date this link was fetched, it answered, and its content matched a privacy policy. Nothing further is claimed.

Not legal advice. This is an observation, not a legal judgment: the link was fetched on this date, it responded, and its content matched a privacy policy. Nothing more is claimed.

What it does.

The vendor's own description, unedited, not our claim.

Overview heeb.ai is the LLM Mentions API, a unified interface that allows developers to query and analyze how brands or entities are referenced across major large language models such as OpenAI GPTs, Google AI‑mode, xAI Grok, and Perplexity Sonar. With a single structured request, you can extract mentions, sentiment, sources, and visibility insights that help product, SEO, and research teams understand how brands are represented across AI systems. The LLM Mentions API (heeb) brings together multiple LLMs behind one consistent interface. It allows you to: - Track brand and product mentions across multiple AI models. - Analyze sentiment and tone of mentions. - Retrieve citations and content sources referenced by models. - Compute visibility and aggregated sentiment scores. - Identify content gaps and optimize brand representation in AI-generated responses. These insights make it possible to measure and improve how your brand is represented in the new era of AI-first search.

registry ID ndock:tool:heeb