We get you onto the pages AI already cites.
In every niche, the engines lean on a short list of pages when a buyer asks what to choose. We find that list for your niche, then earn you a place on it. No guessing which sites might matter: we only work the ones already being cited.
Redaccel finds the pages AI engines already cite when buyers in a niche ask what to choose, then earns the brand a place on them. That means Reddit threads, best-of lists, comparison pages, review sites, YouTube, articles and PR placements, forums, directories and the brand's own pages. Every engagement starts with a free AI visibility audit, and everything is reported as share of voice in AI answers across ChatGPT, Perplexity, Gemini, Google AI Mode and AI Overviews.
No campaign starts without the map.
The audit is the biggest step in the whole engagement, and it is free. It is where the map and the plan are built.
We take the questions your buyers actually type ("best expense tool for a 10-person agency", "[competitor] alternatives", "is [your category] worth it"), run them across the engines, and record every page each answer cites. That list of cited pages becomes the target list. Nothing goes on it because we think it might help; it is on it because the engines are already reading it.
- Who gets namedWhich engines name you, and which name your competitors instead.
- The pages behind the answersEvery thread, list, review page and article the engines cite.
- A place-by-place planWhere to show up first, most cited first.
- Two tailored optionsA focused one and a full one, each with its price.
You choose how fast. The audit decides where.
Both options work the same cited pages from your audit. They differ in how many of them we take on at once.
Focused
The most cited pages first, at a lower monthly cost.
- The highest-value sources from your audit
- The channels that matter most in your niche
- Monthly share of voice report on the same questions
Full
Every cited source type at once, for faster movement.
- Everything in the focused option
- More channels and more placements each month
- Your own pages rebuilt so AI can quote them
- Fixing what AI gets wrong about you
The exact contents vary by campaign, so they are set in your audit, not on this page. Engagements typically start around $2,000 a month; the price follows your niche and what its placements cost. How pricing works.
The channels we work, when your audit says they matter.
Every placement is built to survive human moderators and the LLM-based detection platforms now run[1]. If it would not survive a strict moderator reading it for intent, we do not make it.
| Channel | Why engines cite it | What we do there |
|---|---|---|
| Reddit threads | Most cited domain in AI answers[2] | Helpful, disclosed answers in the exact threads the engines cite, from accounts with history in that subreddit |
| Best-of lists and listicles | "Best X for Y" pages are cited almost wholesale | A specific pitch to each editor with a real reason to include you |
| Comparison pages | Engines lift "X vs Y" and "alternatives" pages for buying questions | Getting onto the comparisons buyers read, and building your own honest ones |
| Review sites (G2, Trustpilot, Capterra, Clutch) | Structured reviews feed brand and "best X" answers | Claiming and completing profiles, and asking real customers for honest reviews |
| YouTube | Transcripts feed answers, especially how-to and review questions | Placement in the reviews and walkthroughs the engines already pull from |
| Articles and PR placements | Trade press and niche publications carry weight with the engines | Placements on media with a record of being cited in your niche |
| Forums, communities and directories | Long-tail questions resolve here; about 95% of citations are long tail[3] | Steady presence in the few communities and directories your buyers trust |
| Your own pages | Engines quote pages that answer directly; 44% of ChatGPT citations come from the first third of a page[4] | Rebuilding them for AI: answers up front, clear definitions, comparison tables, valid schema |
The same questions, every month.
The question set from your audit is frozen, so every report compares like with like.
Each month you see how often each engine names you against each competitor, whether it was a recommendation or a passing mention, and which pages drove it. If nothing moved, the report says that too, in plain words.
Fix it where the engines read it.
Engines repeat what their sources say, including outdated or hostile pages. If ChatGPT tells buyers you lack a feature you shipped last year, we trace the claim to the pages it comes from and fix it there: updated reviews, corrected articles, clear pages the engines will read again.
What we deliberately do not do
- No fake reviews, no bot accounts, no undisclosed seeding.Not only an ethics position, a durability one. Platforms remove that work after the fact[1], and a removed citation is worse than none.
- No guessing.We do not place you on sites because they look relevant. Only on pages the engines already cite for your buyers' questions.
- No guaranteed citations.Engines are probabilistic. We guarantee the work and an honest measurement, and by month three the numbers say whether it is working.
- No open-ended lock-in.Three-month minimum, because that is how long the work takes to show. Month to month after that.
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".