Attensira vs AirOps

How do AI engines place AirOps?

"Peec AI alternatives" is one of the questions we track for our own site. On 3 October 2026 Perplexity listed twelve, and AirOps was fourth, after Profound, Writesonic and SE Ranking; in another answer to the same question it was the pick "for configurable content workflows". AirOps's own blog post on Peec alternatives was among the sources. That is a fair placement for a platform built for executing content work. Attensira, which also executes, was not mentioned.

We counted how often AirOps makes that list in the chart below. Engines know AirOps as a way to get content done. They do not know us yet.

One detail in that answer is worth copying: AirOps's own post on Peec alternatives was among the pages Perplexity cited. Engines quote the vendors who publish the list. Attensira's crew works the same lever for its customers, starting with the pages an answer already cites that name a competitor and not you.

What does AirOps sell?

AirOps describes itself in one line on its homepage: "Run the strategy that wins AI discovery." It says it "works with you to set and execute the right AI discovery strategy", and that its platform "combines agents, data, brand governance, and expertise to execute your AI search strategy", with "a team that's in it with you at every step".

Its pricing page, read on 4 October 2026, meters usage in tasks.

• Solo: 35,000 tasks a month, ChatGPT insights only, one brand kit, three knowledge bases, basic CMS and SEO integrations, single-user access and community and live-chat support. There is a free tier, and overage is $0.025 per task.
• Pro: 100,000 tasks a month, insights across seven or more answer engines, CMS, SEO, AEO, social and project integrations, five knowledge bases and unlimited team seats.
• Enterprise: custom limits, custom agent builds, unlimited knowledge bases and brand kits, a dedicated account manager and one-to-one expert onboarding.

A 14-day trial includes Scale features and 50,000 free credits. The amounts for Solo and Pro were not in the page as served, so we do not quote them.

The shape is a platform for a team: brand kits and knowledge bases to keep output on-brand, workflows and agents to automate production, integrations to publish, and people to help you design it.

Workshop or workforce?

The cleanest way to see the difference is to ask what you need on day one.

With AirOps, you need a team that will build and run the programme: decide the strategy with AirOps's help, set up brand kits and knowledge bases, design or adopt workflows, and run them. The platform makes that team far more productive. Without the team, there is nobody to run it.

With Attensira, you need one person who can say yes. Attensira is software that does your AI-search visibility work: whatever it takes to win the answer. The crew reads your site and drafts your business profile itself. Each morning a Daily win plan reads the questions you are losing and does up to three pieces of work. A rewrite of the passage an answer should have quoted arrives as a draft pull request on your repository or a draft in your CMS. A new article for a question nothing covers is filed for approval and delivered where your site can take it. A pitch to the editor of a page the engine already cites, which names a competitor and not you, sits in your mailbox as a draft. A reply to a cited Reddit thread is drafted for you to post.

AirOps is a workshop for a content team. Attensira is the workforce for a team that does not have one.

Who approves what goes out?

AirOps emphasises brand governance: brand kits and knowledge bases keep generated content consistent with how you want to sound. Its pricing page does not describe the approval flow before something is published.

Attensira's approval rules are public. New workspaces start in Draft, where nothing leaves the workspace until you approve it. Act mode lets hygiene work go out on its own, structured data, meta descriptions, alt text, internal links. Anything that states a claim, a price, a number, a promise, a product or competitor name, waits for a person in every mode. Before a draft can be approved it is checked against your own compliance and voice rules and our house rules, and the verdict names the rules it was checked against.

How do the bills compare?

AirOps meters tasks: the work of the workflows your team runs, with overage beyond the plan. The bill grows with how much your team automates.

Attensira meters finished work in credits. The plan fee includes monitoring and a monthly allowance of credits; agents spend credits as they work; a monthly budget you set caps what the work can be charged; and committed work we do not deliver is credited back on the first of the month.

What happens in the first fortnight?

With AirOps's trial, your team gets two weeks with Scale features and 50,000 credits to build brand kits, load knowledge bases, try workflows and see AI search insights. What you learn depends on how much your team puts in.

With Attensira, the crew reads your site and takes a first reading of every question you track on day one. By the end of the first week you see the answers you lose, ranked, and finished work is already in your inbox. The second week is mostly decisions.

What does "tasks" measure, and what does it not?

A task-based price is a natural fit for a workflow platform: every step a workflow runs, a research call, a draft, a rewrite, is a task, and the plan sets how many you can run a month. It tells you how much automation you can do. It does not tell you how much of that automation reached your site, or whether any of it changed an AI answer.

That gap is not AirOps's fault; it is the nature of a platform. The platform runs what your team designs, and whether the design was right is your team's question to answer. Most teams answer it by watching a visibility chart and hoping the line moves in the weeks after a push.

Attensira closes the gap by owning both ends. The crew chooses the work from the answers you are losing, ships it after your yes, and reads the same answers again on fixed days afterwards. Each verdict names the change, the questions it targeted, the engines, and how many answers it rests on. If a whole category of work keeps producing "no change", that shows up in the receipts, where you can see it and steer the crew towards the kinds of work that do move your answers, by declining with a note or by telling the project what to focus on. A task count can tell you how busy you were. A before-and-after tells you whether being busy helped.

Can you use both?

A content team on AirOps could add Attensira for the parts of AI search work its workflows do not cover, such as off-site placements and per-change measurement. The overlap is content production; decide which one writes for a given question so you do not publish twice.

How did we check this page?

AirOps's facts come from its homepage and pricing page, fetched on 4 October 2026 and cited cell by cell below; plan amounts were not in the served page, so none is quoted. Attensira's facts come from docs.attensira.com, with our prices, credits and engines rendered from the same source as our pricing page. The Perplexity reading and our own mention counts come from our Attensira workspace for attensira.com, read through the Attensira MCP.

Related reading: Attensira vs Writesonic, Attensira vs KIME, and how the crew does the work.