Public demoNo API keys required.Trust & limits

CiteSight

Fever Energy

fever.energy
BusinessAppear
81

Overall · Strong

Demo runAppear

Diagnosis

Missing from category answers

Ask who leads this category and Fever Energy does not show up.

What AI says / gets wrong

  • Gemini does not mention Fever Energy for “Head-to-head comparison”.
  • Web AI warns on trust: …’t find a dense public trust record for Fever Energy. That usually means a…
  • Fever Energy is missing from 4 category/alternatives answers (ChatGPT, Claude, Gemini).

+2 more after you start a fix

Act now5 fixesNext clicks for Fever Energy

Next step

Watch this name every week

Monitor re-runs these probes, keeps score history, and flags description flips. $49/mo. Two clicks from this report.

Demo checkout — no card required
Work plan

Act now

Top fixes for Appear / grow — one click each. Expand a card only if you need the how-to.

0 in plan · 7 todo · 0 in progress · 0 done

  1. 01

    Earn “best of” listicle, roundup, and press mentions

    critical · P0Effort L

    Pitch or create newsworthy reasons to appear in category roundups, notable-people lists, and cause roundups that AI search engines already cite.

  2. 02

    Seed a trustworthy review footprint

    critical · P0Effort M

    Collect verified reviews on the platforms people (and models) already read, and respond to negatives in public.

  3. 03

    Add schema.org Organization JSON-LD

    high · P1Effort S

    Emit Organization markup with legal name, URL, logo, sameAs profiles, and founding data so crawlers and answer engines can ground the entity.

  4. 04

    Check Wikipedia / Wikidata / knowledge-panel eligibility

    high · P1Effort L

    If you meet notability, pursue a neutral Wikipedia article and a Wikidata item (the usual path to a knowledge panel). If you do not, collect independent…

  5. 05

    Complete high-authority third-party profiles

    high · P1Effort M

    Fill LinkedIn, Wikipedia/Wikidata, industry directories, charity raters, or creator platforms with the same facts and the same canonical URL.

All 7 tasks
Seed a trustworthy review footprint
Collect verified reviews on the platforms people (and models) already read, and respond to negatives in public.

Why it matters

“Is {name} trustworthy?” answers track review sites, news, and complaint boards more than a homepage.

How

Ask recent customers for G2/Google/industry reviews. Publish security/compliance pages. Do not gate or incentivize dishonestly.

Details

Platforms, raw answers, scores, and packaging — open only if you need the evidence behind a task.

Platforms & raw answers

Platform probes

Source evidence and raw answers for each assistant. Use this when a task needs proof — not as the default reading path.

Google Gemini
Gemini answers, which often inform Google’s AI surfaces and overview-style responses.
Demo adapter

Visibility

60

Accuracy

71

Sentiment

62

Share of voice

100

Query: What is Fever Energy? Explain what the company does, who it serves, and any notable facts.

Mentioned · primarySentiment neutralAccuracy accurateDemo response
Fever Energy (fever.energy) is a its category company. It sells products and services to teams that need a more dependable option than a better-known peer. Public write-ups are thi…

Source evidence

No URLs attached to this answer. Treat it as an unverified reconstruction until a cited public source exists.

Why the model might say this

  • This card used a labeled demo adapter, not a live model call. Treat it as a stand-in for how thin public records get reconstructed.
  • No citations were attached. Chat-style models often stitch training data, directories, and similarly named entities. A dated owned page (About, bio, /facts) is usually what changes later answers — not a prompt to “forget.”
  • Other names in the answer (Public, Typical, Independent) can bleed into this story when public sources are thin.
  • Answer aligns with claimed name/category/site facts.
Raw answer
Fever Energy (fever.energy) is a its category company. It sells products and services to teams that need a more dependable option than a better-known peer. Public write-ups are thin, so descriptions sometimes collapse it into a generic its category name. Typical summaries mention customer support, implementation speed, and a narrower product focus than the category giants. Independent encyclopedic coverage is sparse, so most assistants reconstruct the story from the website, directories, and a handful of blog roundups.
Scores & gaps
81

Overall GEO score · Strong

Visibility
79
Weight 35%

Named in 20/25 answers (19 as the primary subject). Visibility is the mean of prominence: primary 100, featured 78, passing 42, absent 0.

Accuracy
82
Weight 25%

Accuracy maps flags to points (accurate 92, partial 62, unverifiable 55, not_mentioned 40, inaccurate 24). This run: 20 accurate, 5 not_mentioned.

Sentiment
64
Weight 20%

Sentiment is a keyword window around the brand mention (positive 88, mixed 58, neutral 70, negative 28, unknown 50). It is directional, not a substitute for human review.

Share of voice
100
Weight 20%

Share of voice ≈ brand-mentioning answers (20) ÷ (those + named competitor hits (0)). Category and alternatives queries weigh heavily here.

Formula: 0.35 × visibility + 0.25 × accuracy + 0.20 × sentiment + 0.20 × share of voice. Full methodology

Absent from “best of” category answers
critical
The name is missing when users ask who or what is notable in this field — a core GEO visibility gap.
ChatGPT · Claude · Gemini · Web AI
Trust answers are mixed or negative
high
Reputation-style prompts surface caution, complaints, or hedging instead of a clean trust narrative.
Web AI
Lost in head-to-head comparisons
medium
When users compare this name to a peer, some engines barely mention it — or default to the other party.
Gemini
History
Trend
Visibility, sentiment, and share of voice across completed runs for this brand.

Re-run or use Monitoring → Run scan now to plot a second point.

What changed
Compared with the previous completed run. Description flips fire when the same probe now says something different.

This is the first completed run. Watch and scan again to catch description flips, new peers, and accuracy drift.

Alerts

  • negative descriptionUnread

    Fever Energy: mixed or negative description on first run

    web-ai-search / Trust & reputation: …’t find a dense public trust record for Fever Energy. That usually means a small footprint, not necessarily a red flag — but it also means you should not take self-descriptions at

Open monitoring
Goal & watch
Presence goal
CiteSight is about controlling AI/digital presence — not only getting cited more. Appear, correct, or fade from real public sources. We do not plant false claims about anyone else.

Presence goal

Win identity, category, and comparison answers with a consistent public record and citable pages.

Cadence & alert email
Start Monitor from the card above ($49/mo). This dialog only changes weekly/daily cadence or stores an email stub.

Optional. The Monitor card above is the product path.

We optimize real public presence. We don’t fake consensus or plant false claims about third parties. Correction work updates real public sources. Trust & limits

Packaging

Plans & packaging

Two commercial modes share one work queue. Switch the experiment flag per brand (or set PACKAGING_MODE) to A/B conversion later.

Default from env: modularBilling stub: none
Monitor subscription
Cadenced re-audits, trends, and in-app alerts. Improvement work is sold separately — pick actions below and fund them à la carte.

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