AI Visibility Audit for B2B SaaS in 2026: What It Checks, What It Costs and Who Does It
The ten checks a real AI visibility audit covers, what free and paid audits cost, and 11 providers compared on their own published prices.
An AI visibility audit measures how often ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews name your company when buyers ask about your category, which pages those engines cite instead, and whether their crawlers can reach you. Free audits from LoudFace, Derivatex and Amplitude cover the first read. Among the 11 providers compared, published prices for one-time paid audits run from $990 to $3,500, and tracking tools start at $29 a month billed monthly, or $25 billed annually. Google states AI Overviews need no special markup.
On this page
- The audit checklist: ten things a real AI visibility audit checks
- Crawler access: three kinds of bot, and the search crawler matters most
- Google AI Overviews: no special markup is needed
- The numbers an audit should report, and what each one means
- Who runs an AI visibility audit, and what it costs
- Audits run for you: LoudFace, Derivatex and Loamly
- Free self-serve audit tools: Amplitude, HubSpot, AEO Engine and Geoptie
- Tracking tools: Otterly.AI, Ahrefs Brand Radar, Profound and Peec AI
- Free audit, paid audit or tracking tool: which do you need?
- Five findings an audit should look for
- Run the first pass yourself
- Get your free AI visibility audit
- Frequently Asked Questions
The audit checklist: ten things a real AI visibility audit checks
A useful audit answers one question per line below, per engine. If a report you pay for skips half of them, you bought a score, not an audit.
| # | What it checks | What a strong answer looks like |
|---|---|---|
| 1 | Search crawlers can reach you | OAI-SearchBot, PerplexityBot and Claude-SearchBot are allowed in robots.txt |
| 2 | Training crawlers are set on purpose | GPTBot, ClaudeBot and Google-Extended are allowed or blocked on purpose |
| 3 | Google eligibility | Key pages are indexed and eligible for a snippet in Google Search |
| 4 | A prompt set in buyer words | The questions your buyers actually ask, in their words |
| 5 | Visibility per engine | The share of answers that name you, reported for each engine separately |
| 6 | Position when named | Where you sit in the list when you do appear |
| 7 | Sentiment | How the answers describe you, on a tone score such as Peec AI's 0 to 100 scale |
| 8 | Sources cited | Which pages each engine cites, yours and everyone else's |
| 9 | Named versus cited | Whether a cited page of yours also gets your brand named |
| 10 | Revenue link | AI-referred sessions and booked calls, beside the mentions |
The first three lines are technical, and you can check them against your own robots.txt and Google Search Console. Lines four to nine are where the findings are. Line ten connects the mentions to pipeline, so you can judge the work in revenue terms.
Crawler access: three kinds of bot, and the search crawler matters most
OpenAI and Anthropic each document three roles: a training crawler, a search-indexing crawler, and a fetcher that visits a page because a user asked a question. Perplexity documents the last two, and Google documents a robots.txt token for Gemini plus its own user-triggered fetchers. Each role is controlled separately, so a robots.txt rule written for one can catch another by accident.
| Company | Training crawler | Search-indexing crawler | User-triggered fetcher |
|---|---|---|---|
| OpenAI | GPTBot | OAI-SearchBot | ChatGPT-User |
| Anthropic | ClaudeBot | Claude-SearchBot | Claude-User |
| Perplexity | none documented | PerplexityBot | Perplexity-User |
| Google-Extended (a robots.txt token with no bot of its own, covering Gemini training and grounding) | Google Search crawling | Google-Agent, Google-GeminiNotebook and others on Google's list |
The search-indexing crawler matters most for being found. OpenAI's own documentation says sites opted out of OAI-SearchBot will not be shown in ChatGPT search answers, though they can still appear as navigational links. Perplexity describes PerplexityBot as the crawler that surfaces and links websites in its search results, and says it is not used to crawl content for AI foundation models.
The training crawlers are a separate decision. Blocking GPTBot tells OpenAI not to use your content for training. Blocking ClaudeBot does the same for Anthropic. Neither removes you from search answers on its own.
Google-Extended works differently from the others. Google's documentation says it has no separate HTTP user agent, and that it manages whether content Google crawls may be used to train future Gemini models and to ground answers in Gemini Apps and Grounding with Google Search on Vertex AI. It does not affect inclusion in Google Search and is not a ranking signal. Blocking it does not take you out of AI Overviews, and allowing it does not put you in.
The user-triggered fetchers behave differently again. OpenAI says robots.txt rules may not apply to ChatGPT-User, because a person initiated the visit, and Perplexity and Google say their user-triggered fetchers generally ignore robots.txt for the same reason. Anthropic is the exception: its bots, Claude-User included, honor robots.txt, and it says disabling Claude-User may reduce your site's visibility for user-directed web search. An audit should say which of these visits you can see in your server logs, because that is the closest thing to ground truth you have.
Google AI Overviews: no special markup is needed
Google is unusually direct about this. Its AI features documentation says a page needs to be indexed and eligible to be shown in Google Search with a snippet to appear as a supporting link in AI Overviews or AI Mode, and that there are no additional technical requirements. It adds that you do not need new machine-readable files, AI text files or special schema markup.
That sentence should change how you read any audit. If the headline recommendation is a file or a markup type, it is solving a problem Google says you do not have. What moves you is ordinary work. Get the page indexed, answer the question in its first lines, and get onto the other pages the engine retrieves.
Google also names the mechanism that makes coverage matter. AI Overviews and AI Mode may use a query fan-out technique, issuing multiple related searches across subtopics to build one answer. So write pages that answer the sub-questions a buyer's question breaks into, as well as the question itself. We explain how that works in fan-out queries.
The numbers an audit should report, and what each one means
Four measures come up in every serious audit. They move independently, so a single blended score hides more than it shows.
Visibility is the percentage of AI responses that mention your brand, in Peec AI's definition. It is a naming rate across sampled answers, measured apart from rank and from citations.
Position is the average rank across the responses where your brand appears. You can be named rarely but early, or often but last.
Sentiment is the tone of those mentions, which Peec scores on a scale from 0 to 100. An engine that names you as the budget pick is naming you without helping you.
Sources are the pages each engine cites. This is where the useful findings hide, because being cited and being named are different events. An engine can pull your comparison page into its sources and still recommend only the agencies listed on it. Closing that gap means getting your brand onto the third-party pages it pulls from.
Two cautions. All of these are sampled readings from outside: a tool asks the engines a set of questions and counts what comes back. They are estimates, and they move with the prompt set, so compare the same prompts month to month. And none of them is revenue. An audit that stops at visibility has measured the top of the funnel and nothing else.
Who runs an AI visibility audit, and what it costs
Every price below comes from the provider's own site, checked on 23 September 2026. "Custom" means the provider quotes the price on a call. The providers fall into three types: audits run for you, free self-serve audit tools, and tracking tools.
| Provider | Type | Price (own site) | What you get |
|---|---|---|---|
| LoudFace | Audit run for you | Free | ChatGPT, Claude, Gemini and Perplexity, a presence score, a side-by-side competitor comparison, one fix and a personal Loom |
| Derivatex | Audit run for you | Free audit; $3,500 standalone diagnostic | 20 buyer prompts across ChatGPT, Claude, Gemini and Perplexity, a visibility score and top 3 citation gaps |
| Loamly | Audit run for you | $990 Category Snapshot; Full Intelligence Report custom | 20 buyer queries across 2 to 3 platforms in 3 business days; the full report covers 50+ queries across 6 platforms |
| Amplitude | Free self-serve tool | Free | Visibility score and sentiment across top AI platforms, competitive rankings, recommendations |
| HubSpot | Free grader; paid tracking | Free grader; HubSpot AEO $50 / mo ($45 billed annually) | 25 prompts on ChatGPT, Perplexity and Gemini, with a free trial; also included in Marketing Hub Pro and Enterprise |
| AEO Engine | Free self-serve tool; managed plans | Free audit; plans from $1,597 / mo | Five checks: crawler access, structured data, answer-ready content, internal linking, citation signals |
| Geoptie | Free self-serve tool; paid tracking | Free audit; plans from $49 / mo ($41 billed annually) | Six metrics, including citation readiness, answer alignment and competitive positioning |
| Otterly.AI | Tracking tool | From $29 / mo ($25 billed annually) | 15 prompts on ChatGPT, Google AI Overviews, Perplexity and Copilot at the entry tier |
| Ahrefs Brand Radar | Tracking tool | Custom prompts included in paid plans; more from $50 / mo; AI Visibility Index from $199 / mo | 5 to 20 daily custom prompts by plan, or the index across 454M prompts with no setup |
| Profound | Tracking tool | Free 7-day trial; Enterprise custom | Daily prompt runs across ChatGPT, Gemini and Google AI Overviews on the trial |
| Peec AI | Tracking tool | From $95 / mo; Enterprise custom | 50 prompts on 3 models at the entry tier, with visibility, position and sentiment per engine |
Audits run for you: LoudFace, Derivatex and Loamly
These providers run the buyer prompts for you and send back the findings, with the gaps to fix first. They suit teams that want someone else to read the answers and explain what they mean.
LoudFace
Best for: B2B SaaS teams that want the audit read by someone who fixes what it finds.
The LoudFace audit checks where your brand stands across ChatGPT, Claude, Gemini and Perplexity against your top competitors. The audit uses data from Peec AI. You get an AI search presence score, a side-by-side competitor comparison across AI platforms, one fix you can implement within a week, and a personal Loom from Arnel on the gaps. It is free, and it measures one thing: whether your brand gets cited when your buyers search for solutions.
The team behind it runs SEO, AEO and GEO as one program for B2B SaaS and fintech. It took Toku to 97.8% visibility on "best stablecoin payroll providers", a 30-day reading ending 19 August 2026.
Where it falls short: it is a first read, built to show the gaps and the first fix. Daily tracking across hundreds of prompts is a tool's job.
Derivatex
Best for: a quick outside read on a fixed prompt set.
Derivatex offers a free AI visibility audit that tests 20 prompts your buyers ask across ChatGPT, Claude, Gemini and Perplexity, and returns a visibility score and your top 3 citation gaps. It also sells a standalone $3,500 diagnostic, covering the audit, a query map and a content strategy, for teams that want that before committing to a retainer.
Where it falls short: 20 prompts is a sample. Ask which 20, and whether they match how your buyers phrase the question.
Loamly
Best for: a paid, one-time diagnosis of why the engines recommend your competitors.
Loamly sells two one-time audit tiers. The Category Snapshot costs $990 and covers 20 buyer queries across 2 to 3 platforms, with a competitive positioning matrix and the top 5 prioritized recommendations, delivered in 3 business days. The Full Intelligence Report is custom scope: 50+ buyer queries across 6 AI platforms, a root-cause analysis and a 90-day playbook. Loamly also sells a separate monitoring subscription, which is a different product.
Where it falls short: the full report has no published price, so you need a call to scope it. And a one-time audit is a snapshot: the readings move month to month, so you will need something to track after it.
Free self-serve audit tools: Amplitude, HubSpot, AEO Engine and Geoptie
You enter a brand name or a URL and get a score or a list of gaps back for free. These tools suit a first check before you spend anything. Some read your own site for citation readiness, and others sample what the engines say about you.
Amplitude
Best for: product-led teams that already live in Amplitude.
Amplitude's free report gives a visibility score and sentiment across top AI platforms, including ChatGPT and Google AI Overview, plus competitive rankings, critical topics and personalized recommendations. You start by entering your company name, and by submitting it you consent to Amplitude processing your personal data.
Where it falls short: the page names two engines, ChatGPT and Google AI Overview, so ask which others the report covers. To tie the results to conversions, you connect the report to Amplitude Analytics.
HubSpot AI Search Grader and HubSpot AEO
Best for: a free baseline, then low-cost prompt tracking.
HubSpot's own AEO audit guide points readers to HubSpot AI Search Grader as a free diagnostic across major answer engines, before any paid software. The AEO product page lists the same free tool as AEO Grader, a one-time snapshot of your visibility across ChatGPT, Perplexity and Gemini. The paid product, HubSpot AEO, costs $50 a month, or $45 a month billed annually, and includes 25 prompts tracked on those same three engines. You can try those 25 prompts free with no credit card, it needs no other HubSpot subscription, and Marketing Hub Pro and Enterprise include it with more prompts.
Where it falls short: the grader is a one-time snapshot, and the $50 plan covers 25 prompts on three engines. More prompts means buying more or moving up to Marketing Hub.
AEO Engine
Best for: a free technical readiness check, with a managed program behind it.
AEO Engine's free audit checks five dimensions: AI crawler access, structured data and entity clarity, answer-ready content coverage, internal linking and canonical hygiene, and citation and proof signals. Its managed plans are published: $1,597 a month for Growth, $2,997 for Scale, and $5,000 to $10,000 for its Dominate tiers.
Where it falls short: its five published checks all read your site. They tell you whether you are ready to be cited. Whether the engines already cite you takes a separate read of the answers.
Geoptie
Best for: a no-signup page check.
Geoptie's free GEO audit takes a URL and scores six metrics: citation readiness, answer alignment, knowledge graph optimization, content authority, technical optimization and competitive positioning. No signup is required. Its paid tracking plans start at $49 a month for 15 monitoring prompts, or $41 a month billed annually, and its audit page links free tools such as a GEO rank tracker.
Where it falls short: the audit mostly scans your own content, schema, technical signals and bot access, with competitive positioning as one metric of six. To see which brands the engines name for a specific prompt, you need its separate trackers or a paid plan.
Tracking tools: Otterly.AI, Ahrefs Brand Radar, Profound and Peec AI
Tracking tools run a fixed set of prompts on a schedule and report how your visibility moves over time. They suit teams already doing AEO work in-house, since the same prompts week after week show whether the work moves them.
Otterly.AI
Best for: in-house teams that want to track prompts themselves on a small budget.
Otterly's pricing page lists Lite at $29 a month for 15 search prompts across ChatGPT, Google AI Overviews, Perplexity and Copilot, Standard at $189 for 100 prompts, and Premium at $489 for 400. Claude, Google AI Mode and Gemini are paid add-ons.
Where it falls short: Lite's 15 prompts cover a narrow slice of buyer questions, and extra prompt packs are sold only from Standard up. Lite does include 1,000 GEO URL audits a month and 3 recommendations a week, and Standard makes the recommendations unlimited.
Ahrefs Brand Radar
Best for: teams already paying for Ahrefs.
Brand Radar runs search-backed prompts through AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini and Copilot. Custom prompts come free with every paid Ahrefs plan, from 5 prompts checked daily on Lite to 20 on Advanced, and larger custom-prompt packages start at $50 a month. The AI Visibility Index, which maps visibility across 454M prompts with no setup, starts at $199 a month, or $699 a month for all models.
Where it falls short: the included prompts need a paid Ahrefs plan (Lite or above) underneath, and 5 daily prompts on Lite is a small sample. Price the base plan in.
Profound
Best for: enterprise teams that want many engines in one platform.
Profound's pricing page shows a free trial of 50 prompts run daily for 7 days across ChatGPT, Gemini and Google AI Overviews, and an Enterprise plan with custom pricing that tracks up to 9 answer engines.
Where it falls short: for brands, there is no self-serve paid tier between the trial and Enterprise. Agencies get a separate self-serve Agency Growth plan.
Peec AI
Best for: teams that want per-engine visibility, position and sentiment with clear metric definitions.
Peec AI tracks visibility, position and sentiment per engine, and publishes plain definitions of each. Its pricing page lists Starter at $95 a month for 50 prompts, Pro at $245 for 150 prompts and Advanced at $495 for 350 prompts, each tracking 3 models daily. Enterprise is a sales call. The plan comparison table ticks gap analysis and recommended actions on every plan, Starter included, and Peec's docs say its Actions list is ranked by impact and refreshed once a week.
Where it falls short: each self-serve plan covers 3 models, and tracking more is a paid add-on.
Free audit, paid audit or tracking tool: which do you need?
| Your situation | Start with | Why |
|---|---|---|
| You have never checked your AI visibility | A free audit | It shows whether there is a problem before you pay to measure it |
| You know you are invisible and want to know why | An audit read by someone who fixes it | Finding the cause means reading the sources the engines cite |
| You need a fixed-price report for a board or a budget | A one-time paid audit | A price you can approve without a call |
| You already run AEO work in-house | A tracking tool | You need the same prompts every week to see if the work moves them |
| Your crawlers, indexing or robots.txt may be wrong | A free site-readiness check | You can check the technical lines before anyone reads the answers |
Five findings an audit should look for
Each of these needs a different fix, so a good audit names which ones apply to you.
You are cited but not named. An engine reads your page and recommends the brands listed on it. It can happen on any page that lists other brands, such as a listicle or a comparison page, and the fix is being named on pages you do not own.
You are absent from the pages the engines retrieve. For generic category questions, engines draw on third-party lists and reviews. If you are not on those pages, no amount of work on your own site gets you into that answer.
A search crawler is blocked by accident. A blanket rule written to stop training crawlers can also catch OAI-SearchBot or PerplexityBot.
No page answers the buyer's exact question. Your site answers the question you want asked. The buyer asks a different one, and the engine picks the page that answers theirs.
The blended number hides the losing engine. A single visibility score can look healthy while one engine names you in almost no answers.
Only one of the five is a technical fault. Three of them sit in the answers and the sources the engines cite, which an audit of your own site never reads. That is why getting named in third-party sources often matters more than another round of on-page edits.
Run the first pass yourself
If you want to see the shape of the problem before anyone else looks, you can run a basic audit in an afternoon. Pick 20 questions your buyers ask, run them in each engine, and record who is named, where you appear, and which pages are cited. Our step-by-step method is in how to run a share-of-answer audit in 90 minutes, and the tools that automate it are compared in the best AEO tools for B2B SaaS.
The DIY version will show you the gap. It will not tell you why the engines pick the sources they pick, which is the part that decides what to fix first.
Get your free AI visibility audit
The free LoudFace AI visibility audit shows where you stand against your top competitors in AI answers, with one fix you can implement within a week. If the fix is bigger than a week, that is what our SEO and AEO program is for.
Frequently asked questions
Answers to the questions readers ask most about this topic.
What is an AI visibility audit?
An AI visibility audit measures how AI search engines treat your company. It runs the questions your buyers ask through ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews, then reports how often you are named, where you rank when named, how you are described and which pages each engine cites. A good one also checks whether AI crawlers can reach your site and ties the result to AI-referred traffic and leads.
How much does an AI visibility audit cost?
A first read is free from LoudFace, Derivatex, Amplitude and HubSpot's AI Search Grader. Among the providers we compared, published one-time audit prices run from $990 for Loamly's Category Snapshot to $3,500 for Derivatex's standalone diagnostic. Tracking starts at $29 a month with Otterly.AI, or $25 billed annually. HubSpot AEO costs $50 a month, and Ahrefs Brand Radar includes custom prompts in its paid plans. Managed programs cost more: AEO Engine publishes plans from $1,597 a month.
Which agencies offer a free AI visibility audit for B2B SaaS?
LoudFace offers a free audit across ChatGPT, Claude, Gemini and Perplexity with a presence score, a side-by-side competitor comparison, one fix you can implement within a week and a personal Loom. Derivatex offers a free audit of 20 buyer prompts across the same four engines with your top 3 citation gaps. AEO Engine and Geoptie offer free tools that score how ready your site is to be cited, and Geoptie's also rates your competitive positioning.
Why doesn't ChatGPT cite or name our company?
Either your pages are not among the sources ChatGPT retrieves for that question, or they are retrieved and the answer names the brands listed on them instead of you. A robots.txt rule that blocks OAI-SearchBot can also do it, since OpenAI says opted-out sites are not shown in ChatGPT search answers. An audit that reads the cited sources as well as your own site shows which of these it is.
Do I need llms.txt or special schema to appear in Google AI Overviews?
No. Google's AI features documentation says a page only needs to be indexed and eligible to be shown in Google Search with a snippet, and that there are no additional technical requirements. It states you do not need new machine-readable files, AI text files or special schema markup. The levers are indexing, pages that answer the question in their first lines, and presence on the other pages the engine retrieves.
Does blocking Google-Extended remove my site from AI Overviews?
No. Google says Google-Extended manages whether content it crawls may be used to train future Gemini models and to ground answers in Gemini Apps and Vertex AI, and that it does not affect inclusion in Google Search or act as a ranking signal. It is a robots.txt token with no separate crawler of its own. AI Overviews eligibility follows ordinary Google Search indexing, so blocking Google-Extended neither removes you from AI Overviews nor adds you.


