Public demoNo API keys required.Trust & limits

CiteSight

Fever Energy

fever.energyenergy
BusinessAppear
73

Overall · Solid

Mixed live + demoAppear

Diagnosis

AI has the wrong identity

Fever Energy is a energy name, but models describe a different entity — often a name collision.

What AI says / gets wrong

  • ChatGPT calls Fever Energy company that specializes in energy drinks and dietary supplements.
  • Web AI describes Fever Energy as consumer energy drinks or supplements.
  • ChatGPT describes Fever Energy as consumer energy drinks or supplements.

+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

What changed

Overall 73 → 71 (-2) · 2 runs

Run a second scan to compare against this audit.

Open latest report
Work plan

Act now

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

6 in plan · 9 todo · 0 in progress · 0 done

  1. 01

    Publish a crystal-clear About + FAQ

    medium · P2Effort M

    Create (or rewrite) a single canonical page that states who you are, what you do, who you serve, and answers the exact questions models get asked.

  2. 02

    Add schema.org Organization JSON-LD

    high · P1Effort SIn plan

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

  3. 03

    Check Wikipedia / Wikidata / knowledge-panel eligibility

    high · P1Effort LIn plan

    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…

  4. 04

    Complete high-authority third-party profiles

    high · P1Effort MIn plan

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

  5. 05

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

    critical · P0Effort LIn plan

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

All 9 tasks
Publish citation-worthy original assets
Ship one piece of unique data — a benchmark, methodology, impact number with a source, or annual report — that other sites and models can quote.

Why it matters

Search-style engines need URLs to cite. Original stats get reused in answers; blog filler does not.

How

Pick a question people actually ask. Publish a dated study or report with methodology, charts, and a stable URL. Promote it to journalists and newsletter writers.

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

30

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 energy company. It sells products and services to teams that need a more dependable option than Tibber. Public write-ups are thin, so descriptions…

Peers named: Tibber

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 energy company. It sells products and services to teams that need a more dependable option than Tibber. Public write-ups are thin, so descriptions sometimes collapse it into a generic energy 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
73

Overall GEO score · Solid

Visibility
80
Weight 35%

Named in 20/25 answers (20 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
66
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
58
Weight 20%

Share of voice ≈ brand-mentioning answers (20) ÷ (those + named competitor hits (18)). 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
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
Few or no citations in search-style answers
medium
AI search engines did not attach third-party sources. Citation-worthy pages and listicle presence usually fix this.
Web AI
History
Trend
Visibility, sentiment, and share of voice across completed runs for this brand.
Score trend

  • overall

    71-2

  • visibility

    76-4

  • sentiment

    67+1

  • Share of voice

    55-3

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: new negative or mixed description

    anthropic / Trust & reputation: mixed — Public sentiment around Fever Energy is mixed. There are supporters citing serious work, alongside complaints, unresolved questions, or slow · gemini / Trust & reputation: mixed — Public sentiment around Fever Energy is mixed. There are supporters citing serious work, alongside complaints, unresolved questions, or slow · perplexity / Trust & reputation: mixed — Public sentiment around Fever Energy is mixed. There are supporters citing serious work, alongside complaints, unresolved questions, or slow

  • description flipUnread

    Fever Energy: a description flipped

    openai / What is this entity?: “Fever Energy is a company that specializes in energy drinks and dietary supplements. Founded in 2016, it focus” → “Fever Energy is a company that specializes in the production of energy drinks and related products. Founded in” (neutral/accurate → positive/accurate) · openai / Head-to-head comparison: “Fever Energy and Tibber are two companies operating in the energy sector, but they focus on different aspects ” → “Fever Energy and Tibber are two companies in the energy sector, but they focus on different aspects of energy ” (neutral/accurate → positive/accurate) · openai / Trust & reputation: “Fever Energy, a brand known for its energy drink products, has received mixed reviews regarding its trustworth” → “Fever Energy is a brand that markets energy drinks and supplements, but specific information about its trustwo” (neutral/accurate → neutral/accurate)

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: overriddenBilling 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.

$49/mo

Fund these actions
Accept or skip each task in the work plan, then mark the ones you want CiteSight to execute. Checkout is per-action, not a bundle.

Cart is empty. On a task, click Fund execution to add it. Effort $29 / $79 / $149 (S/M/L).

Cart $0

No Stripe keys on this server — checkout records the plan locally, enables monitoring, and does not charge a card.