Skip to main content
Perception is how the AI platforms describe a brand when somebody asks about it by name: the qualities they attach, and the objections they raise. It answers a different question from the project’s prompts. A prompt asks which brand to choose. Perception asks what a platform says about one brand. Perception is not sentiment. Sentiment is the tone of a mention inside an answer to one of the project’s prompts. Perception has its own questions, and they never change visibility, Share of Voice, sentiment or position.

The questions

FullReach AI asks two families of questions about each brand:
  • The compared brands are this brand and up to 5 monitored competitors. At setup, they are the first competitors the project monitors. Edit compared brands, above the table of compared brands, changes them. Select the brands, then Save. A brand that you remove keeps its history, and the history returns when you add the brand again.
  • The questions run once a week, on the weekday the project was created, in UTC.
  • They run in one market, the market with the most active prompts, or Worldwide when the project has none. See Markets and languages.
  • They run on the project’s platforms.
  • They do not count against the plan’s prompts. The system writes them, and you cannot edit their wording.
Perception is open in every trial, whatever the tier, and from Pro on a paid plan. Plan limits has the table. Below that tier, the page says so, and no questions run. Inside the trial’s days on a tier below it, the page names the last day of Perception. It also names the plan that holds Perception after that day. A subscription that starts inside those days changes neither.

Which answers count

An answer to “What is Acme known for?” can describe a different company with a similar name. Before an answer about this brand can count, a check compares it with this brand’s website and its Profile. The check gives one of four results: The check runs for this brand only. For a competitor, an answer that names the competitor counts. It does not count when it names a site one letter or one domain ending away from the competitor’s site. When answers describe another company, a card at the top of the page says how many, which companies they name, and on which platforms. A name shows once 2 answers or more give it. The card also counts the answers that never name this brand.
  • What you can do opens the steps that make such an answer less likely.
  • Read the answers, which carries the count, opens a list of those answers, newest first. Each row shows the platform, the question, the opening words and the day. A row opens the full answer. When the list holds fewer answers than the count, it says so.

Qualities, objections and themes

A language model reads each answer that counts. It lists the qualities or the objections, each with a short label and a quote. The quote must be in the answer word for word, or the finding goes. The model reuses a label that already exists when one fits. A second check then drops any finding about a company with the same name in another industry. Labels that mean one thing group into a theme, such as “Ease of use” for “easy to use”, “simple interface” and “intuitive”. A project holds up to 12 themes for qualities and as many for objections. A label keeps its theme once it has one. A label with no theme yet counts as its own theme.

The score

A theme’s score says how early and how often the answers raise it, from 0 to 100.
  1. In each answer, the theme earns points at its first place in the list. The first place earns 100, and each place after it earns 10 fewer, down to zero. A theme raised twice in one answer counts once, at its earlier place.
  2. The score adds the points and divides by every answer that counts for that brand and family. An answer that never raises the theme adds nothing, but it still counts in the division.

An example

In one week, 10 answers to the quality questions count for this brand. “Ease of use” is the first quality in 4 of them and the third in 2 of them. The other 4 answers do not raise it.
A low score means raised rarely or late, not rated poorly. For an objection, the direction turns. A high score is the worse result: the answers raise it early and often. A dash in a cell means that the answers about that brand never raised the theme in the period. A dash is not a measured zero.

Changes, first seen and faded

  • The change beside a score compares it with the period of the same length before it. It shows only when both periods hold perception answers and the score differs. The questions run weekly, so a period of 7 days holds one set of answers.
  • first seen marks a theme that 2 answers or more raise in the period, and that no stored answer raised before. It is a fact about the stored answers, not about a change of mind on the platforms. The mark shows only when a previous period exists.
  • Not raised this period, under the table of compared brands, lists the faded themes. A faded theme is one that 2 answers or more raised in the previous period, and that none raises in this one. The line states the brand and the previous score.

The page

The page has two tabs, Qualities and Objections. Each tab states how many themes this brand has. Every tile, card and table reads the open tab. Only the range and the platform filter apply, so the toolbar offers no other.

The tiles

The tiles show when the period holds a theme.

The cards and the tables

  • Qualities AI names, or Objections AI raises, lists this brand’s themes as bars, highest score first. Each bar shows the score, its change and the answers that raised the theme. The card opens on the strongest themes, and Show all lists the rest.
  • Brand shape draws this brand’s strongest themes as a radar chart. It shows once this brand scores on enough themes, and it says how many. Choose themes picks the themes, and Automatic returns to the default set. The chips under the chart lay competitors over it. A brand at the center of an axis is one that the answers rarely or never tie to that theme.
  • Qualities compared, or Objections compared, is a table of themes, one column per brand. Each cell holds the score and its change, and a higher score has a darker cell. The table opens on the strongest themes, and Show all lists the rest.
  • What AI says, word for word lists the themes of one brand, each with its score and the answers that raised it. A theme opens its quotes, and each quote opens its answer. Brand picks the brand, and Search quotes narrows the list to the matching quotes and themes. A theme that holds fewer quotes than answers says so.
A theme that sits on both tabs carries a mark that says so. On the Objections tab, this brand’s objections are the ones to work on. A competitor’s objections are sales material. The three dots on a card or a table hold Export CSV, Save as image and Copy to clipboard. Brand shape has Save as image only. What AI says, word for word has Export CSV and Copy quotes.

Where it appears