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CiteSight

Fever Energy

fever.energydistributed energy / VPP / HEMS for energy companies
BusinessCorrect
63

Overall · Uneven

Mixed live + demoCorrect

Diagnosis

AI has the wrong identity

Fever Energy is a distributed energy / VPP / HEMS for energy companies 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.
  • Web AI calls Fever Energy company that specializes in the production and distribution of energy….
  • Gemini 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.

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Work plan

Act now

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

1 in plan · 7 todo · 1 in progress · 0 done

  1. 01

    Publish a clear “What is this company?” page

    critical · P0Effort M

    One paragraph matching the homepage, plus a disambiguation sentence so models stop describing a colliding brand.

  2. 02

    Add Organization + SoftwareApplication JSON-LD

    critical · P0Effort S

    Ground crawlers on the real legal name, URL, and product type so the colliding consumer brand is harder to merge.

  3. 03

    Align Wikipedia / Wikidata / Crunchbase / LinkedIn

    critical · P0Effort L

    Put the same official-site definition on the public knowledge graph — only on sources that actually exist. Do not spam an article.

  4. 04

    Align LinkedIn, Crunchbase, and directories

    critical · P0Effort M

    Same name, same one-liner, same canonical URL on every legitimate company profile — in the real industry, not the colliding one.

  5. 05

    Seed mentions in the correct category

    critical · P0Effort L

    Earn third-party notes in the real industry (not the colliding consumer category).

All 8 tasks
Publish a disambiguation / current-facts page
One dated URL: who you are, who you are not, and the colliding description models keep repeating.

Why it matters

Assistants recycle the wrong product because there is no clearer owned source that names the collision.

How

At /facts or on About: quote the homepage definition, add “not related to [colliding product],” and link the official site. Date the page.

Current-facts / corrections page — Fever Energy

> Presence goal: **Correct.** Replace stale bios, name collisions, and recycled errors with a dated current record models can quote.

# Current-facts / corrections — Fever Energy

URL: /facts  or  /corrections  (dated, last-updated in the H1)

## What this page is for
A single owned URL that states the current record and the errors assistants keep repeating. This is how you correct or fade a storyline at the source — not a request that models “forget.”

## Current record (quote-ready, 80 words)
Fever Energy (fever.energy) is a distributed energy / VPP / HEMS for energy companies business. At Fever, we’re building the technology needed to make distributed energy work at scale. Homepage claim: “Making distributed energy work.”

## Disambiguation
Fever Energy is not related to consumer energy drinks or supplements. It is a distributed energy / VPP / HEMS for energy companies company.

## Claims to stop
| Recycled claim | Accurate replacement | Source |
| --- | --- | --- |
| consumer energy drinks or supplements | Fever Energy (fever.energy) is a distributed energy / VPP / HEMS for energy companies business. At Fever, we’re building the technology needed to make distributed energy work at scale. Homepage claim: “Making distributed energy work.” | https://fever.energy/ |
| | | |

## What models currently say
Identity: Fever Energy is a company that specializes in energy drinks, particularly targeting consumers looking for a natural boost in energy without the crash associated with traditional en…
Trust: Fever Energy, known for its energy drinks, has garnered mixed reviews regarding its trustworthiness and product quality. Customer feedback on platforms like Amazon and Yelp often h…

## Do
- Date every correction
- Link independent sources, not only your homepage
- Keep the same display name as schema and LinkedIn

## Do not
- Litigate every rumor
- Demand deletion of archives you do not control
- Invent a cleaner past
- Plant false claims about other people or organizations

## Publish later
Handler: content.corrections.

Extension point: register a publisher on src/lib/actions.ts to auto-apply this draft.

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

56

Accuracy

46

Sentiment

62

Share of voice

33

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

Mentioned · primarySentiment neutralAccuracy inaccurateDemo response
Fever Energy (fever.energy) is an energy drink company that sells caffeinated beverages and wellness supplements. Typical summaries mention cans, caffeine, retail distribution, and…

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.”
  • Accuracy flag: inaccurate. Possible name collision — the answer describes consumer energy drinks or supplements, not the claimed “distributed energy / VPP / HEMS for energy companies” / site record.
  • Other names in the answer (Typical) can bleed into this story when public sources are thin.
  • Possible name collision — the answer describes consumer energy drinks or supplements, not the claimed “distributed energy / VPP / HEMS for energy companies” / site record.
Raw answer
Fever Energy (fever.energy) is an energy drink company that sells caffeinated beverages and wellness supplements. Typical summaries mention cans, caffeine, retail distribution, and a consumer lifestyle brand.
Scores & gaps
63

Overall GEO score · Uneven

Visibility
78
Weight 35%

Named in 20/25 answers (18 as the primary subject). Visibility is the mean of prominence: primary 100, featured 78, passing 42, absent 0.

Accuracy
42
Weight 25%

Accuracy maps flags to points (accurate 92, partial 62, unverifiable 55, not_mentioned 40, inaccurate 24). This run: 10 inaccurate, 5 not_mentioned, 10 partial.

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
60
Weight 20%

Share of voice ≈ brand-mentioning answers (20) ÷ (those + named competitor hits (16)). 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
Answers drift from claimed facts
high
Descriptions do not reliably match your site or category. Models may be confusing you with a similarly named entity or using stale training data.
ChatGPT · Claude · Gemini · Perplexity · Web AI
Models describe a different entity
critical
Identity answers match a colliding product or industry — not the claimed site or category. Treat this as a Correct-goal name collision, not a visibility gap.
ChatGPT · Gemini · Perplexity · Web AI
Uneven platform coverage
medium
Overall score is materially weaker on gemini.
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

  • hallucinated descriptionUnread

    Fever Energy: accuracy issue on first run

    openai / What is this entity?: Possible name collision — the answer describes consumer energy drinks or supplements, not the claimed “distributed energy / VPP / HEMS for energy companies” / site record.

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

Replace stale bios, name collisions, and recycled errors with a dated current record models can quote.

Cadence & alert email
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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
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