recomention vs Otterly.
Otterly alternativeChecked against otterly.ai, September 2026
Otterly is a subscription monitoring tool: it tracks a set of prompts on a schedule and charts how your brand shows up over time. This comparison covers recomention’s one-time report that tells you whether AI engines recommend you today, who they recommend instead, and what to fix. Here is an honest comparison — including when Otterly is the better buy. Ongoing monitoring and content products are separate choices.
What Otterly offers.
As of September 2026, otterly.ai’s own pricing page lists:
- Lite at $29/month for 15 prompts, Standard at $189/month for 100 prompts, Premium at $489/month for 400 prompts.
- Four engines in the base plans: ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot.
- Claude, Gemini and Google AI Mode listed as paid add-ons.
- Daily tracking and team access.
Prices and plans change. Check their pricing page for the current offer.
Side by side.
The two are not measuring the same thing on the same schedule, so a price-per-month comparison alone misleads. Daily tracking and a one-time reading answer different questions.
When Otterly is the better choice.
- You already know AI answers matter to you and want a daily trend line, not a one-off reading.
- You need Microsoft Copilot or Google AI Mode tracked, — we read Google AI Overviews on every paid plan, but don't measure Copilot or AI Mode.
- Several people on a team need to log in to the same dashboard.
When recomention is the better choice.
- You want to know where you stand before committing a monthly budget to it.
- You want Claude and Gemini measured without paying for add-ons.
- You want to see the verbatim answers and the sources behind them, with a list of what to fix.
One report runs up to 640 graded answers with live search on. Your brand name never appears in a question, every answer is included verbatim, and if an engine can’t be reached the report says so instead of counting it as a miss. The entry plan covers Perplexity, ChatGPT, Gemini, AI Overview; the others cover all 6.
The two also combine well: a report first to find out whether there is a problem and where, then a monitoring tool once it’s worth watching every day.
What is in a report.
- Mention rate and position per engine — how often each engine named you, as a share of its runs, and where you landed when it did.
- Who is named instead — the competitors that hold the answers you are missing from.
- Where the engines look — the sites they cite for your category, and whether you appear on them.
- Whether they can read your site — robots.txt rules for each answer crawler, text without JavaScript, llms.txt and identity markup.
- A prioritised fix list — built from those sources and gaps, not from a generic checklist.
- Every answer, verbatim — so you can check the reading instead of taking it on faith.
It is a dated snapshot, not a status: run it again next month and the numbers will move, because the web moved. How the number is produced.
See the measurement first.
recomention publishes free AI rankings. What ChatGPT, Claude, Perplexity, Gemini, Grok and Google AI Overview answer when a buyer asks. 1–5 questions per category, each asked 3 times on each engine (Google AI Overview once) with live search on. Every answer is quoted. A report makes the same kind of measurement on 15–40 questions about your own category; the rankings are a way to judge the method before paying for either.