Prompt
Which consumer tax filing platforms are known for affordable pricing and strong e-file support?
Latest observation
Some consumer tax filing platforms commonly known for affordable pricing and strong e-file support include:
- FreeTaxUSA — very low-cost federal filing, solid e-file support, and usually one of the cheapest options for people with straightforward returns.
- TurboTax — typically more expensive, but very strong e-file support and a polished experience; pricing is less “affordable” unless you qualify for a free/basic tier.
- H&R Block Online — often competitive on price, with reliable e-file support and a good balance between cost and usability.
- TaxAct — generally budget-friendly, with strong e-filing and broad form support.
- Cash App Taxes — free for many users and includes e-file support, though it may not fit all tax situations.
- IRS Free File partners — for eligible taxpayers, these can offer free filing through participating providers, with e-file included.
If you want, I can also rank these by cheapest overall, best for simple returns, or best for self-employed filers.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
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