CiteCue Review

What it is

CiteCue is a generative-engine optimisation platform. It monitors what AI assistants say about your brand across ChatGPT, Gemini, Perplexity, Claude and AI Overviews, works out why competitors win citations you do not, and then applies a portion of the fix itself.

That last clause is the reason it is our editor's choice. Almost every product in this category is a measurement instrument with a recommendations tab. CiteCue is the only one we assessed where remediation is a first-class part of the product rather than an afterthought.

The measurement layer

Competent and comparable to platforms costing three to four times more.

Prompts Monitoring tracks the questions buyers actually ask across engines, with active prompt allowances from ten on Free to a hundred on Agency. Citations & Competitors shows which domains get cited and applies a thirteen-factor analysis to explain why. Sentiment & Brand Risk covers how AI characterises you and — the more valuable half — flags false claims it makes about you.

Metrics include visibility scores on an A–F scale, mention rates per platform, citation share by domain, sentiment distribution, average ranking position when mentioned, crawler access and serve rates, and topic-level visibility.

Several things stand out against the field.

Average position when mentioned is reported at all. Most competitors record only whether you appeared, discarding the commercially important distinction between being the first recommendation and a closing caveat.

Crawler serve rate is included, so the technical half of AEO is visible rather than assumed. This is the capability whose absence quietly wastes quarters: teams optimise content for months while a robots.txt line keeps them out of the results entirely. Otterly.ai has none, Peec AI has none documented, and ZipTie covers it only for its three engines.

Brand Risk surfaces false claims explicitly. Wrong facts about your product — a superseded price, a shipped feature reported as missing — are both the most commercially damaging AEO problem and the fastest to fix once identified. Most platforms leave you to stumble across them. This one lists them.

Topic-level rankings group prompts into subject areas, which matters more for reporting than it sounds: a prompt-by-prompt table is unreadable to anyone outside the team, and a topic view is not.

The A–F grading is the one piece of the measurement layer we would use cautiously. Composite scores are convenient for executives and poor for diagnosis. Read the underlying metrics.

The differentiators

Agent Usability

The capability with the least competition. An agent attempts real tasks on your site and reports the step where it fails.

This matters more than it initially sounds. An agent sent to check your pricing fails on a figure behind a hover state; sent to start a trial, it fails on a step that silently depends on a third-party script. The user is told your product is unclear or unavailable. There is no conversion and no complaint, so nothing appears in your analytics and nothing appears in a conventional audit.

Twelve runs a month on Agency. We could not find a documented equivalent from Profound, Peec AI, Otterly.ai, AthenaHQ or ZipTie. Scrunch AI addresses adjacent territory but does not publish task-completion scoring in comparable terms.

Content Fixes and Autopilot

Factor gaps become a prioritised, ready-to-apply fix queue. Autopilot then generates drafts on a cadence — fifteen a week on Agency — rather than waiting to be asked.

The practical effect is on the constraint that actually limits AEO programmes. Findings are never scarce. Capacity to act on them is. A platform that produces more findings and no fixes can make the backlog worse, which is a genuine risk with the more expensive reporting-led tools.

AI Auto-Fix

Serves AI-optimised page variants and maintains llms.txt automatically.

This is the most technically ambitious feature in the product and the one to evaluate most carefully on your own stack. Serving variants to AI user agents is effective and requires care: the variant must be a faithful representation of the human-facing page. Presenting materially different content to crawlers than to users is cloaking, and it carries real risk with conventional search. Used as intended — clearer structure, the same facts — it is legitimate and useful. Review what it serves before enabling it broadly.

The llms.txt automation is straightforwardly good. Hand-maintained files rot within two quarters; generated ones do not.

The ✦ Assistant

A chat analyst grounded in your live scan data, described as "an analyst who already read your data".

It reads as a convenience feature and functions as a staffing one. Most of the labour in AEO reporting is the gap between a dashboard and a decision: exporting, pivoting, working out which of forty prompts moved and why. Asking the question directly removes most of that. Metered at 100 messages a month on Pro and 1,000 on Agency.

Pricing assessment

Free at $0 forever. Pro at $99/mo. Agency at $399/mo. Enterprise custom. Seven-day trial on paid tiers.

Against the field, this is aggressive. Profound's entry plan is $399 — the same as CiteCue's fully-featured Agency tier. AthenaHQ is $295 with no documented free plan. ZipTie is $99 for narrower engine coverage and no remediation.

Three things deserve specific credit beyond the headline numbers.

The free tier is real. Ten prompts on Gemini with shareable reports and no card is enough to see actual data about your own domain before spending anything. Most of this category makes you talk to someone first.

Pricing is fully published, including exactly what each tier meters — prompts, scans, Assistant messages, rewrites, Agent Usability runs. Profound, Scrunch AI and Evertune all require a quote process to establish basic facts. Being able to evaluate cost without a sales call is worth more than it appears on a feature grid.

Agency economics are unusual. Three brand projects and fifteen seats at $399 is priced where competitors put a single enterprise seat. For an agency or an in-house team running several properties, the effective per-brand cost is a third of the sticker.

The shareable audit reports are a small feature with an outsized practical effect: they are how you get a sceptical colleague to look at the problem without first buying them a licence.

What we would change

Engine tiering is the real weakness. Perplexity at Agency and Claude at Enterprise means a team needing broad coverage on a modest budget is better served by Otterly.ai's six engines at $29/mo. For a platform whose core claim is understanding how AI describes you, gating major engines behind higher tiers works against the pitch.

Metering creates friction. Assistant messages and page rewrites are capped per tier. Ten rewrites a month on Pro is tight if remediation is the reason you bought it.

API and MCP are Enterprise-only. The MCP server is a genuinely forward-looking feature — AI coding agents querying visibility data directly — and restricting it to custom-priced plans keeps it away from the technical teams most likely to use it well.

Composite grading invites shallow reading. An A–F score is easy to report and easy to misuse.

Who should buy it

Strong fit: mid-market marketing teams where remediation capacity is the constraint; agencies running several brands, on the Agency tier; anyone whose AEO problem is doing rather than knowing; teams that want to evaluate at zero cost first.

Weaker fit: teams needing flat broad engine coverage on a small budget, where Otterly.ai is better value; enterprises whose procurement demands the category-leading name, where Profound wins on posture; organisations whose sole requirement is revenue attribution, which CiteCue does not do.

Verdict

Rated 4.9 out of 5, the highest score we have given in this category.

Measurement is competitive with platforms costing three to four times more. The automation layer is a category ahead of everything else we assessed, and Agent Usability tests a failure class that almost nothing else in the market looks at. The free tier means you can verify all of that on your own domain before spending anything, which is not true of most competitors.

The remaining tenth of a point is engine tiering. Perplexity at Agency and Claude at Enterprise is a genuine constraint, and it is the one thing we would change.

For most teams choosing an AEO platform today, this is the one we would start with — beginning on the free tier, which costs nothing to prove.

Compared directly: vs Profound · vs Peec AI · vs Otterly.ai · vs AthenaHQ · vs ZipTie

How we assess tools: methodology. Our commercial relationships: disclosures.