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See where your brand appears. Read the answer behind it.

AI search visibility software for teams that need to track buyer questions, inspect mentions and citations, and decide what to work on next.

Tracking is the start of the review.

AI search tracking, monitoring and LLM visibility describe related parts of the same job: observe answers over time and understand what they say.

01

Choose the questions

Build a portfolio around buyer decisions. Keep the audience, market and platform selection with the sample.

Prompt research
02

Inspect the evidence

Open the answer behind a detected mention. Check the source URLs and compare how the same answer describes other brands.

Citation tracking
03

Assign the next action

Connect a finding to an objective and a task. Give the work an owner, then return to the evidence at the next review.

Objectives and tasks

A real sample: Unusual Group.

Recorded 14–20 September 2026. Retrieved and checked on 21 September 2026.

Unusual Group funds Heading. This is a related-company example, not an independent customer endorsement. The figures below describe tracked answers, not revenue or a proven effect of content changes.

Five active prompts · US English · ChatGPT, Perplexity and Google AI Overview · dates in UTC
Date in 2026Matching responsesRecorded responsesDaily visibility
14 September51533.3%
15 September71546.7%
16 September71546.7%
17 September61540.0%
18 September61540.0%
19 September81553.3%
20 September61540.0%

The sample ranged from five to eight matching responses per day. On this sample, one additional match changes the score by about 6.7 percentage points. That is a reason to inspect the answers before calling a movement a trend.

Recorded ChatGPT answer · 20 September 2026, 02:11 UTC · US English

“Unusual Group vs Centric Consulting for agency growth consulting”

Excerpt from the recorded answer:

“For an agency-growth problem, I'd investigate Unusual's proposition much more deeply”

The same answer cautioned that this was a difference in stated scope, not a claim of better results. It cited Unusual Group’s Agency Growth Pad page and Centric Consulting’s About page among its sources. These are the platform’s statements, not Heading’s assessment of either firm.

This prompt names Unusual Group in advance. It tests how an answer describes a known option, not whether an unprompted buyer would discover it. A useful next task is to verify that the cited service page explains the scope and limits accurately.

Know what a tracker can tell you.

Platform coverage

A property tracks three platforms chosen from ChatGPT, Perplexity, Google AI Overview, Google AI Mode, Gemini and Microsoft Copilot. Copilot tracking reads the AI summary in Bing results. Platform choice changes the sample.

Collection cadence

Paid properties are scheduled for daily tracking of active prompts. Free properties receive a point-in-time snapshot. Missing fetches and recorded results with no AI answer are different outcomes.

Measurement limits

Heading collects a sample of AI answers. A buyer’s signed-in conversation can differ. A detected mention is not necessarily a recommendation, and a citation does not prove a click or sale.

Evaluate the workflow you will use.

Ask to inspect an answer, its sources and its collection context before comparing headline scores.

  • Can you see the exact question, market, platform and date?
  • Does the score define what counts and what is missing?
  • Can you separate brand mentions from citations of your website?
  • Can the team connect findings to assigned work and a later review?

Bring your buyer questions.

Apply for access to Heading to build your first sample and inspect the answers behind it.

Apply for access
AI search visibility and monitoring software | Heading