OpenAEO vs manual AEO, SEO tools, and citation trackers
OpenAEO is an answer-engine-optimization tool that both audits and fixes: it scores a site against 5 retrieval gates and a 49-check rubric, the instant audit runs the gates and 8 headline checks, the dashboard tracks the full rubric, then hands you the exact files and copy to get cited by ChatGPT, Claude, Gemini and Perplexity. Most teams weighing it are really choosing between four options, and each solves a different slice of the problem. You can do the work by hand if you know the rubric; you can lean on a traditional SEO suite built for keyword ranking; you can buy an AI citation tracker like Profound or Peec that watches thousands of prompts; or you can use OpenAEO to actually clear the gates and ship the fixes. The table below is the honest breakdown of what each one does, what it costs, and the kind of business it fits, including the cases where OpenAEO is not the right call.
| OpenAEO | Doing it by hand | Traditional SEO suite | Citation tracker | |
|---|---|---|---|---|
| Finds AEO gaps | Yes: 5 gates + 8 headline checks, 49-check rubric | Partial, if you know the rubric | Not designed for it | No: tracks, doesn't audit |
| Tests bots at the edge | Yes, per-bot live fetch | Rarely | No | No |
| Writes the fixes | Files + copy, or dev tickets | You write them | No | No |
| Tracks citations over time | Yes (Business+) | Manual spot checks | No | Yes, its core job |
| Prompt-volume sweeps | Sampling monitor | No | No | Yes. Thousands of prompts |
| Starting price | $0, then $39/mo | Your time | $39–$500/mo | From $39/mo |
| Competitor prices are their published list, checked 3 August 2026. Check theirs before deciding: ours is the only one we control. | ||||
| Best for | SMBs and agencies that need to get cited, not just watched | One technical founder with time | Classic keyword ranking | National brands with 50+ target prompts |
When OpenAEO is the right call
Choose OpenAEO when you need to become citable, not just measure it. It is built for small businesses and agencies: the free tier clears the technical gates on one site in seconds, and the $39 Business plan keeps five sites cited with weekly crawls and dev-ready tickets. It pairs every score with a same-day citation baseline, so you never mistake a number for a customer.
When a citation tracker is the right call
If you are a national brand tracking thousands of prompts across dozens of markets, a dedicated tracker like Profound or Peec does share-of-voice at a scale OpenAEO's sampling monitor does not. Many teams run both: OpenAEO to fix the site and clear the gates, a tracker to sweep prompt volume. OpenAEO is the implementation layer; the tracker is the telemetry layer.
What other AEO tools check
This is the one comparative claim on this site with a method behind it, so here is the method. On 4 August 2026 the official MCP Registry listed 14 servers in this category. Four of them publish readable npm packages, so we downloaded each and searched its source for a request that sets an AI crawler's user agent.
| Package | Sends a crawler user agent | What it does instead |
|---|---|---|
| aeo-mcp | No | Parses robots.txt for bot names |
| maxaeo-ai-visibility-mcp | No | Fetches once as itself |
| @agentaeo/mcp-server | No | Parses robots.txt for bot names |
| aeonos-mcp | No | Parses robots.txt for bot names |
| openaeo-audit | Yes, 8 of them | Records the HTTP status each crawler is given |
We checked 4 of the 13 others and cannot speak for the rest. Five run as hosted services or behind an API key and publish nothing we can read, so we have no idea what they do and are not going to guess. If you maintain one of them and this is wrong, tell us and we will correct it.
One limit on our own method, stated because it applies to us and not to them. We send the request from our own network with the crawler's user agent. A real crawler arrives from its operator's address range with forward-confirmed reverse DNS, so a firewall checking those can refuse us and admit the real one, or admit us and refuse it. We therefore send a control request as a neutral client that identifies itself as ours: if the control is served and the crawler is refused, the rule keys on the name and the reading holds; if both are refused, the audit reports it as inconclusive. Server logs are the evidence, and the dashboard reads them. Fetching is a better indication than parsing robots.txt, which is the comparison above, and it is not proof.
The distinction is not academic. robots.txt is a request; a content delivery network is an enforcer, and they disagree. On the day we checked, nytimes.com served Googlebot, Bingbot and Applebot a 200 and refused GPTBot, OAI-SearchBot, ClaudeBot, Claude-SearchBot and PerplexityBot with a 403. Nothing in their robots.txt says so, so a checker that reads robots.txt reports those crawlers as allowed. A 403 is also not something editing robots.txt can undo. Run it on any domain and see for yourself.
Method checked 4 August 2026 against package versions aeo-mcp 1.0.1, maxaeo-ai-visibility-mcp 0.3.2, @agentaeo/mcp-server 0.1.10, aeonos-mcp 1.1.1. Our own row is openaeo-audit 1.3.0. Re-runnable: python3 tools/verify-competitors.py in our repo.
When to just do it by hand
If you have one technical founder, one site, and a free afternoon, the AEO rubric is public and you can work it yourself. OpenAEO exists because most teams don't, the 49 checks, the per-bot edge tests, and the schema-to-visible parity are tedious to run and easy to get subtly wrong, and the gates are invisible until something audits them.
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