Updated on 13 October 2026.
An AI visibility monitoring tool should help you identify which buyer questions mention your brand, which competitors appear, which sources are linked and how the answers change over time. Choose around the decisions your team needs to make, rather than a headline score or the largest advertised database. Start with your own questions, a defined market and a practical task: turn one observed gap into a supported update to an existing page.
Semly publishes this guide and is one of the products discussed. The comparison covers documented product directions and evaluation criteria. It is not an independent performance benchmark or a ranking of customer outcomes. Verify the terms of the specific plan before purchasing.
First distinguish three kinds of measurement
A one-off checker gives an initial view of a limited set of answers. It does not establish a trend. An absent brand in that result is not proof of absence across all AI conversations.
Custom prompt monitoring follows questions selected by your team. It supports comparisons over time when questions, market, language and platforms remain consistent. This can be useful for a niche business whose buyer questions are not well covered in a broad index.
An index of collected answers helps explore a category and discover topics. Its size does not establish coverage of your particular buyer questions. Some products combine these approaches; ask which data source produced each metric in the demonstration.
Do not treat percentages from a checker, an index and custom monitoring as directly comparable without understanding their samples and definitions. They may answer different questions even within the same product.
Semly and five alternatives to assess
| Product | Documented direction | Check during your trial |
|---|---|---|
| Semly | Brand, competitor and source analysis; content and a knowledge base. Product information | Plan coverage, prompt and article limits, and publication destination. |
| Semrush | AI visibility alongside a broader SEO toolset. Vendor overview | Required module, questions and market coverage. |
| Otterly | Daily monitoring across multiple AI search systems. Documentation | Plan scope and access to answers and sources. |
| Peec AI | Visibility, competitor and cited-source analysis. Product information | Models, export and team requirements. |
| Profound | AI answer analysis and content workflows. Product information | Required modules, setup and editorial review. |
| Ahrefs Brand Radar | A visibility index and custom prompts. Product information | Data source and how checks consume the allowance. |
This shortlist is not a scored ranking. An advertised feature may depend on the plan. Mark unclear requirements as “not confirmed” and resolve them before buying. Missing information in a short product description does not establish that a feature is unavailable.
Seven evaluation criteria
1. Questions that reflect your buyers
Add your own questions during the demo. For a UK services business, an example might be “Which maintenance provider suits a small office in Manchester?”. For a retailer, “Where can I buy replacement parts for an older coffee machine?”. These are illustrative test questions, not measured demand data.
Separate questions containing your brand from discovery questions without it. The former assess how a known company is described; the latter help observe selection among alternatives. Associate each question with a customer need, an existing page and a responsible person. A gap outside your actual offer does not automatically justify a new article.
2. A defined market, language and AI surface
Ask how country and language are configured. An English answer does not necessarily represent the UK. Treat other markets as separate configurations where necessary.
Distinguish ChatGPT, Gemini, Perplexity, Google AI Overviews and Google AI Mode when they are in scope. “Google AI” is too broad for a precise comparison. Ask whether collection uses an API or another interface; do not assume those methods reproduce identical answers.
There is no universal minimum number of models for every business. Select the systems relevant to your objective and establish the cost of extending coverage.
3. Evidence behind the summary
Open a complete answer and check the question, platform, date, market and links. Is the brand recommended, mentioned in a comparison or linked as a source? These are different events.
Ask for metric definitions before comparing percentages between vendors. A citation does not prove a visit, and a recommendation does not prove a sale. Check how failed collections are handled: a technical failure is not equivalent to a valid answer that omits the brand.
4. A stable historical baseline
Confirm retention, collection frequency and what happens after editing a prompt. Record additions to questions, models and markets. A higher total after expanding the sample may reflect the new configuration rather than improved content.
For a page update, preserve the baseline and record the URL and change date. Assess mentions, linked sources and website outcomes separately. A before-and-after difference alone does not establish that the edit caused the result.
5. A useful route from finding to action
Select a question where a competitor appears. Identify the existing page that should address it and write a task containing the audience, missing information, supporting source, owner and review criterion. A generic instruction to “improve visibility” is not enough.
If a page already serves the intent, update it rather than generating a duplicate. If the product drafts content, assess factual accuracy, language, links and overlap with the library. Drafting and publication should be reviewed as separate steps. Content generation does not establish that an article is ready to publish.
6. Total cost for an equivalent scope
Compare plans for the same questions, platforms, markets and frequency. Include required modules, users, exports and analysis time. Check billing currency, period and tax presentation. Do not compare an annual commitment expressed as a monthly figure with monthly billing without noting the difference.
A useful planning formula is questions × models × markets × collection runs. For example, 20 questions, three models, one market and 30 runs create 1,800 combinations. This is an illustrative scope calculation, not a claim about any vendor’s billing unit. Ask whether the allowance counts prompts, checks, credits or something else.
7. Team workflow and publishing controls
An agency should test client separation and access rights. A brand team should be able to assign a finding and share the underlying evidence. A screen listing several brands does not prove that every required permission or reporting workflow is supported.
Check each publication destination separately. A knowledge base, WordPress and the company blog are different channels. Monitoring answers does not mean the product changes your website automatically. Before saving an already public article, understand whether the change will appear immediately.
When to include Semly in the shortlist
Assess Semly when you want to connect brand and source analysis with content preparation or updates. Test a complete task: question, answer, source, gap, library review and a supported editorial change. Measure time to a usable result and the quality of the proposed facts.
Confirm models, allowances and publication destinations in the actual account. Review content before publishing. It should answer a distinct need and use verifiable information. A knowledge base can provide useful source material; it does not guarantee selection by external AI systems.
If an existing SEO platform’s AI module meets your requirements, include it in the comparison. If writing and publishing happen elsewhere, give more weight to answer access and task handover. The right choice depends on the work your team can perform, not a universal league table.
Hypothetical example: turning an information gap into a task
This scenario is entirely fictional and uses no data from Semly, customers or monitored brands. Imagine a bicycle workshop called CycleExample that offers Sunday repairs. A hypothetical answer names another workshop but omits this one.
First confirm the service really exists. Then check whether its current service page clearly states the schedule and conditions. If verified information is missing, improve that page. Do not invent an offer to match a recommendation and do not create another guide with the same purpose.
The omission is a reason to investigate, not proof of the model’s internal decision or the effectiveness of a monitoring product.
A practical trial protocol
- Prepare 20 questions across three business priorities. This is a practical starting point, not a statistical threshold.
- Fix the UK market, English language, selected platforms and three competitors. Separate branded questions.
- Read several complete answers and open their sources. Record differences in collection methods.
- Observe repeated runs, for example over two weeks where trial terms allow. This assesses the tool’s workflow, not a guaranteed commercial gain.
- Prepare one update to an existing page, with evidence and an owner. Record the effort required.
- Compare coverage, evidence, workflow and total cost against criteria set before the trial.
A higher score in one run does not automatically make a platform better. It may reflect different questions or collection methods. Prefer data that supports your decision and can be interpreted consistently.
Frequently asked questions
Can a tool guarantee that ChatGPT recommends my brand?
No. Monitoring exposes answers and may support changes, but external AI systems choose what to recommend. Publishing content, adding structured data or creating a knowledge base does not guarantee a citation.
Can I start with a free check?
Yes, to define the problem within an initial scope. Check what is included. A paid service becomes relevant when you need history, scale or a more efficient review process.
Does AI monitoring replace SEO reporting?
No. AI answer analysis and reporting on search impressions, clicks and positions are complementary. Mentions alone should not be used to infer traffic or revenue.
How soon can I judge the results?
You can assess operational usefulness during a trial. Content and business outcomes need subsequent observation. There is no guaranteed timeframe that applies to all brands.
Where should I begin with Semly?
Start in Semly with your own questions. If you need a technical check, use the separate guide to AI crawler access on WordPress. Keep technical implementation and tool selection as distinct tasks.
Sources and limitations
The comparison links to vendor pages consulted for this update. They support product descriptions, not independently measured performance. No shared product benchmark was conducted. Unconfirmed prices, plan limits and integrations are not presented as facts. The trial protocol is a recommendation for the reader, not a report of an experiment already performed.
