Public demoNo API keys required.Trust & limits

CiteSight

lovable

BusinessAppear
78

Overall · Solid

Mixed live + demoAppear

Diagnosis

AI has the wrong identity

lovable is being described as something else — often a name collision or stale record.

What AI says / gets wrong

  • Gemini calls lovable its category company.
  • Perplexity calls lovable its category company.
  • ChatGPT calls lovable company known for its focus on creating comfortable and stylish….

+2 more after you start a fix

Act now5 fixesNext clicks for lovable

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

    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

    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…

  3. 03

    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.

  4. 04

    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.

  5. 05

    Publish a current-facts / corrections page

    high · P1Effort M

    One dated URL that states the current record and the errors models keep repeating — so they have something better to quote than a stale bio or old headline.

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.

Anthropic Claude
Claude’s default assistant voice — typically cautious on unverified claims.
Demo adapter

Visibility

71

Accuracy

52

Sentiment

64

Share of voice

100

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

Mentioned · featuredSentiment neutralAccuracy unverifiableDemo response
…e for anyone or anything exactly named “lovable”. It may be a smaller or newer its category company, a local operator, or a name collision with another entity. I’d look for a canonical website or profile, LinkedIn or Wik…

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 (LinkedIn, Wikipedia) can bleed into this story when public sources are thin.
  • Add a website or profile URL and a field/category to score answers against claimed facts.
Raw answer
I don’t have a high-confidence public profile for anyone or anything exactly named “lovable”. It may be a smaller or newer its category company, a local operator, or a name collision with another entity. I’d look for a canonical website or profile, LinkedIn or Wikipedia, and independent press before treating any single description as authoritative.
Scores & gaps
78

Overall GEO score · Solid

Visibility
88
Weight 35%

Named in 23/25 answers (18 as the primary subject). Visibility is the mean of prominence: primary 100, featured 78, passing 42, absent 0.

Accuracy
54
Weight 25%

Accuracy maps flags to points (accurate 92, partial 62, unverifiable 55, not_mentioned 40, inaccurate 24). This run: 23 unverifiable, 2 not_mentioned.

Sentiment
69
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 (23) ÷ (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
high
The name is missing when users ask who or what is notable in this field — a core GEO visibility gap.
Claude · Gemini
Trust answers are mixed or negative
high
Reputation-style prompts surface caution, complaints, or hedging instead of a clean trust narrative.
Claude · Gemini · Perplexity
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.

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

    lovable: mixed or negative description on first run

    anthropic / Trust & reputation: Public sentiment around lovable is mixed. There are supporters citing serious work, alongside complaints, unresolved questions, or slow communication. Commentators call parts of th

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.

$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).

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