What we do

Updated July 2026

Extract redaccel.com · services · July 2026

Redaccel does three things: measures how visible a brand is in AI answers, earns it legitimate citations across the sources engines trust, and defends its reputation when engines repeat something wrong. Everything is reported against one KPI — share of voice in AI answers across ChatGPT, Perplexity, Gemini, Google AI Mode and AI Overviews.

1. Monitor — see the battlefield

We build a prompt set from the questions your buyers actually type. Not keywords — prompts: "best expense tool for a 10-person agency", "is [your category] worth it", "[competitor] alternatives". Then we run it across five engines on a schedule.

The monthly report shows which engines mention you, which recommend competitors instead, and the exact pages those answers pull from. That last part is the operational gold: it converts "AI visibility" from a vibe into a to-do list.

Sold standalone as Monitor — and included in everything above it. Pricing.

2. Earn citations — become part of the consensus

Engines synthesize answers from sources where people genuinely compare things. We place your brand into that consensus legitimately: 6–10 earned placements a month, each built to survive both human moderation and the LLM-based detection platforms now run^[1].

Our Reddit training is the filter. If a placement wouldn't survive a strict moderator reading it for intent, we don't make it.

The citation surface we work, and why each source matters
Surface	Why engines cite it	What we do there
Reddit	Most-cited domain in AI answers^[2]	Genuine, disclosed, expertise-led participation in the threads engines read
Review platforms (G2, Trustpilot, Capterra)	Structured comparisons engines lift for "best X" answers	Profile completeness, honest review generation from real customers, comparison-page presence
YouTube	Transcripts feed engine answers, especially how-to and review queries	Placement in relevant reviewers' and creators' coverage
Wikipedia & wikis	Highest-trust factual grounding for entity questions	Notability assessment and sourcing — only where you legitimately qualify
Trade press & listicles	"Best tools for X" articles are cited wholesale	Pitching inclusion where you belong, with real differentiators
Niche forums & communities	Long-tail queries resolve here — ~95% of citations are long tail^[3]	Sustained presence in the 3–5 communities your buyers trust
Your own site	Engines quote pages that answer directly — 44% of citations come from the first third of a page^[4]	Restructuring for extraction: front-loaded answers, standalone definitions, comparison tables, valid schema

This layer is Growth: Monitor plus placements plus owned-content optimization. Pricing.

3. Defend — when the answer is wrong about you

Engines repeat what their sources say, including when the sources are outdated, confused or hostile. If ChatGPT tells buyers you don't have a feature you shipped last year, or repeats a pricing complaint from 2024, that's revenue leaking through an answer you never see.

Reputation defence means tracing the wrong claim to its source pages and fixing it there — updated reviews, corrected articles, authoritative pages engines will re-read.

This plus PR outreach is the Managed layer, built for contested categories where the answer itself is a battleground.

What we deliberately don't do

No fake reviews, no bot accounts, no undisclosed seeding. Not (only) an ethics posture — a durability one. Platforms remove that work retroactively^[1], and a removed citation is worse than none.
No ranking reports. There are no rankings inside a paragraph. The KPI is share of voice in AI answers.
No guarantees of specific citations. Engines are probabilistic. We guarantee the work and the transparency of the measurement, and by month three the numbers say whether it's working.
No indefinite lock-in. Three-month minimum (that's how long the physics takes), month-to-month after.

Sources

TechCrunch, “Reddit is using LLMs to solve a problem LLMs largely created”, July 6, 2026.
Semrush, “The Most-Cited Domains in AI: A 3-Month Study”.
Evertune, analysis of 200 million prompts, 2026.
Search Engine Land, “44% of ChatGPT citations come from the first third of content”.

Find out if AI recommends you.

The free audit shows which engines mention you, which recommend competitors instead, and the exact pages behind those answers.

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