AI Visibility Audit for SaaS brands
For $699 one-time, we review your site's readiness for AI retrieval and test how ChatGPT, Gemini, Perplexity and Copilot describe your brand. In 5 to 7 business days, you receive a baseline report, citation map and prioritized 30-day plan. This is a diagnostic; implementation is separate.
No guarantees. Directional measurement. Disclosed methods.
Pricing and scope
$699 one-time
Built for brands with traction that could fund a program of $4,000/month or more if the audit finds gaps. If your category is not discussed in AI answers yet, start with the free scan.
Timing and billing
5 to 7 business days from kickoff, once access is open.
Invoiced in full on booking; work starts when payment lands. No setup fee.
What the engagement covers
- Site readiness review: access, structured data, brand links, page clarity and buyer-intent content, with a 0-100 score and risk band.
- Ranked issues with severity, P1-P3 priority, complexity, owner roles and action lists.
- Buyer questions built from your search data across six prompt families and sized to your category.
- Manual tests on ChatGPT, Gemini, Perplexity and Copilot, repeated on separate days with the same market and fresh sessions.
- Brand citations, position, competitors and framing recorded per response, without combining them into one score.
- A citation map showing which sources appear where you do not, how often and with what framing.
- A consistency check of the claims your site makes about your brand.
- Written report, baseline score, citation map, 30-day plan and readout call, with confidence levels for every check and the credit note.
Set in your written scope
We agree the following after reviewing your site and presence, before work starts.
- Prompt set size, sized to your category and fixed in the written scope.
- Market, language and location every prompt is anchored to.
- Peer set: which competitors the grid is read against, from your ranking of who to beat first.
- Which key pages and templates get the retrieval readiness read.
- Access granted (Search Console, Bing Webmaster Tools, GA4 as read-only) decides which checks run; a check that cannot run is marked not measured with the limit written out, never guessed.
Not included: Implementation of any fix (that is Technical Setup or GEO). Monitoring or a monthly re-run of the grid (that is GEO). Content, schema or robots changes. See the full exclusions list
Terms, clearly stated
- Third-party costs
- The fee covers our work. Tools, any Reddit ads and any placement spend are billed at cost or paid by you directly.
- You keep
- You keep every report, page, schema, dataset and account we build, whether or not you continue.
- Changes
- Late payment on a later month pauses work after a seven-day grace period. Scope changes by written change order.
- Audit credit
- The $699 audit fee is credited in full toward the first month of GEO or Reddit Marketing when the program starts within 60 days of the readout. No credit against Technical Setup.
Prices current as of September 2026. USD list prices. EUR invoicing available at a rate fixed per contract.
Is this the right fit?
A good fit if
- Brands with traction that want to know how AI assistants describe them before funding a program.
- Teams that need a defensible baseline before spending on content, schema or off-site work.
- Marketing leads who need the gaps ranked with a severity, an owner role and a first action each.
- Companies weighing a program and wanting the evidence for that decision in writing first.
Not a fit if
- Pre-product startups.
- Brands with no existing presence (start with the free scan).
- Teams wanting automation or a self-serve tool.
- Buyers seeking the cheapest option or a promised outcome.
We document the work and compare repeated observations. AI answers vary; results are directional and never guaranteed. Read how we measure.
How the audit runs
- 01
Frame
business days 1-2
We agree on your buyers, competitors and questions, then define how the test will run.
Deliverables and measurement
What you receive
- Intake notes
- Buyer-language sheet
- Frozen prompt set with version number
- Peer set and market anchor
What we look for: We likely know which questions your buyers actually ask and which competitors the test should be read against.
Activities
- 02
Measure
business days 2-5
We review your site and test four AI assistants on separate days to record how your brand appears.
Deliverables and measurement
What you receive
- Site readiness findings with score and risk band
- Verbatim answer log from two passes on separate days
- Per-prompt grid
- Citation map
What we look for: Two passes on separate days; every per-prompt reading is reported with both observations, and where the passes disagree the report says so instead of picking one. Directional, never a single-run claim.
Activities
- 03
Report and readout
business days 5-7
We explain the findings and walk you through the priorities in your 30-day action plan.
Deliverables and measurement
What you receive
- Written report with baseline score, citation map and 30-day plan carrying evidence, owner, dependency, verification method and expected mechanism per action
- Readout call
- Credit note
What we look for: You likely leave knowing whether to do nothing yet, fix internally or start a program; a low-confidence recommendation is framed as a test, not a certain fix.
Activities
How the time is spent
Day 1
Scope confirmed and prompt set frozen
Day 5
Both passes and site review complete
Day 7
Readout
Day 67
Credit window closes, 60 days after the Day 7 readout
Explore the work in detail
Expand an activity to see the method behind it. The final scope is agreed for your business before work begins.
001Review your buyers and market
Intake review of your site and presence: buyer profiles, the path each buyer follows before purchasing, branded and category terms, the problems that trigger a purchase, the competitors to beat first, existing battlecards.
002Capture your buyers' language
Buyer-language capture from the Search Console and Bing queries the site already surfaces for, site search, recurring commercial questions, the comparisons buyers actually run and approved sector terminology; anything a model suggests stays a hypothesis until you or the market confirm it.
003Build the buyer question set
Prompt set built across six families: branded, category, comparison, problem-led, transactional, risk and trust; branded readings kept separate from unbranded ones.
004Document every test prompt
Every prompt logged with exact text, intent family, buyer role, decision stage, language, location, engine, date added, vocabulary source, reason for tracking and status (active, experimental, retired).
005Define a repeatable baseline
Measurement frozen before the first run: prompt version number, engines, market, location, peer set, observation window and metric definitions written down, so a later change is versioned and disclosed rather than silently compared.
006Check crawler and index access
Crawl and index access review: robots directives, sitemaps, feeds, broken pages, canonicals, orphan pages, llms.txt presence.
007Review structured data and brand links
Structured data and entity graph review: JSON-LD coverage by page type, reused identifiers, sameAs targets, publisher and author linkage.
008Check key page clarity
Retrieval readiness of key pages: definition, service clarity, brand attribution, differentiation, evidence, citation-ready passages and fragmentation risk.
009Review answers and decision pages
Answer formatting and buyer-intent page review: FAQ schema against visible Q&A, and the presence and state of pricing, compare, alternatives, ROI, case study, vs and about pages.
010Check your site's factual consistency
Own-claims review: the site's statements about itself checked for contradictions across its pages (legal name, founding facts, prices, services), since a contradiction is what produces a wrong answer later; profile consistency across third-party platforms is GEO entity work and is noted, not audited.
011Test four AI assistants
Manual perception test, first pass: the prompt set run by hand on ChatGPT, Gemini, Perplexity and Copilot in real browser sessions, every prompt anchored to your market, fresh account, fresh window, one new thread per prompt, answers captured verbatim.
012Repeat the test separately
Second pass on a separate day under the same rules; both passes land in one grid aligned column by column across your brand and the peer set, so results are read against each other rather than one at a time.
013Map citations and competitor mentions
Per response: brand cited or not, position, competitors named, framing; the citation map records, for every prompt where you are absent, who is cited instead, how often and with what framing.
014Deliver the report and readout
Written report and readout call: 0-100 readiness score with risk band, issues by severity with P1-P3 priority, complexity and owner role, every check classified confirmed strength / partial / confirmed gap / not measured / not applicable with a confidence level, the 30-day plan, and the credit note.
What is not included
- Implementation of any fix (that is Technical Setup or GEO).
- Monitoring or a monthly re-run of the grid (that is GEO).
- Content, schema or robots changes.
- A re-run of the frozen prompt set after fixes (quoted on request).
- Multi-brand, multi-market or multi-language prompt sets.
- Correction plans for wrong facts about the brand (noted in the report, opened as work in GEO).
What changes the price
- A second brand, market or language.
- A prompt set that has to exceed the typical range for the category.
- Sites with many templates, multiple domains or content behind login.
- Assistants beyond the four named.
- A re-run of the frozen prompt set after fixes.
- A dev-ready ticket pack beyond the roadmap (that is Technical Setup).
$699 one-time is the listed price. A larger scope is quoted in writing before work starts, never billed after the fact.
Request a proposalWhat this audit does not do
- Make guarantees about AI visibility or recommendations
- Promise rankings or placement
- Manipulate platforms or communities
- Attribute causation between actions and sales
- Replace traditional SEO or analytics
- Report a measurement taken from a single run, or an old result as current
- Ship a percentage without its URL and denominator, a correlation restated as an uplift, or a statistic from one engine applied to all of them
- Produce a sentiment score, a share-of-voice figure or a projected score after fixes as if a tool had measured it
After the audit
Do nothing yet is a valid outcome and the report says so when risk is low.
Do nothing yet
A low risk band is a finding too, and the report says so when that is what the evidence supports.
Fix the gaps internally
The 30-day plan names the owner role, the dependency and the verification method for every action, so your team can run it without us.
Continue with a program
The audit fee is credited toward the first month of GEO or Reddit Marketing when the program starts inside the credit window.
The $699 audit fee is credited in full toward the first month of GEO or Reddit Marketing when the program starts within 60 days of the readout. No credit against Technical Setup.
How the pieces fit
- 00 / Start here
AI Visibility Audit
See how AI assistants describe your brand today.
- Ongoing
Generative Engine Optimization (GEO)
Build the sources and signals AI answers draw from.
- Community
Reddit Marketing
Be present where buyers ask for recommendations.
- Foundation
Technical Setup
Make the site reachable and readable for crawlers and AI retrieval.
Each can be bought alone.
What the work looks like
Repeated observation on a frozen prompt set, read against a peer set, reported as directional.
More on AI Visibility Audit
- Further reading
- More walkthroughs
Every walkthrough names the scope, the method and the timeframe rather than a multiple.
Want a preview before requesting the paid audit? Run the quick technical scan below. It checks public technical signals only and does not test AI representation.
Check the technical signals AI and search crawlers see
Enter your domain and work email. The scanner checks public technical signals and returns a compact on-page result.
Enter your domain
Use your homepage domain, like example.com.
We run the checks for you
robots.txt, sitemap, llms.txt, schema, canonicals, and sampled pages.
See the result here
A readability read, the checks, and your top fixes with evidence.
AI Visibility Audit pricing and engagement FAQ
What does the $699 audit cover and not cover?
Two layers: a site readiness review (crawl and index access, structured data and entity graph, retrieval readiness of key pages, answer formatting, buyer-intent pages) scored 0-100 with P1-P3 issues and owner roles, and a manual perception test of a buyer-intent prompt set on ChatGPT, Gemini, Perplexity and Copilot, two passes on separate days. You get a written report with baseline score, citation map and 30-day plan, plus a readout call. It does not implement, monitor or write anything.
How long does it take and how is it billed?
5 to 7 business days from the day payment lands. Invoiced in full on booking by bank transfer; work starts when payment arrives. No setup fee.
Who does the work?
A Ranketize consultant runs every prompt by hand in real browser sessions and reads the site review; nothing in the perception test is automated or outsourced. Read-only access to Search Console, Bing Webmaster Tools and GA4 lets more checks run; anything we cannot run is marked not measured.
Why $699 when other audits cost $1,500 to $5,000?
The scope is fixed and the deliverable is a report, not implementation. The price is reviewed at day 90 after launch.
Is the fee credited toward a program?
Yes: the full $699 is credited toward month 1 of GEO or Reddit Marketing when the program starts within 60 days of the readout. There is no credit against Technical Setup.
What is billed outside the fee?
Nothing for the audit itself. A re-run of the frozen prompt set after fixes, a second brand, market or language, or assistants beyond the four named are quoted in writing.
Do you promise results?
No. An AI answer is a variable observation from one engine, one mode, one date, one location and one phrasing. That is why the grid runs twice on separate days, why each reading is reported from both passes rather than from one capture, and why every recommendation is directional.
Who is this not for?
Pre-product startups, brands with no existing presence (start with the free scan), teams wanting automation or a self-serve tool, and buyers seeking the cheapest option or a promised outcome.
How is it different from the free scan?
The free scan checks public technical signals on one domain (robots.txt, sitemaps, llms.txt and a sample of pages) and does not test AI representation. The audit reads the whole site's readiness with owner roles and a plan, and adds the manual perception test, the citation map and the readout.
Start with a clear scope
- 01
Send your website through the form, or book a 30-minute fit call. We review your site and presence and confirm fit within one business day.
- 02
A 30-minute fit call, then a written scope with the volumes for your case and the invoice within two business days.
- 03
Work starts when payment lands; kickoff within five business days.
What is Ranketize? - AI visibility & brand-trust consultancy for SaaS brands
What is Ranketize?
Ranketize is an AI visibility and brand trust consultancy focused on helping SaaS and digital brands become more likely to be referenced in AI-generated answers (ChatGPT, Perplexity, Google AI Overviews) through ethical, observational methods.
We work with teams that need clear, ethical execution and directional measurement across AI answers, not guaranteed rankings.
What we do
- • Run AI visibility audits across priority prompts and models
- • Improve entity consistency across owned and third-party sources
- • Build credible signals through content and community channels
Who it's for / not for
- • For: SaaS and digital brands with traction and clear ICPs
- • For: Teams that want measurable, transparent AI visibility work
- • Not for: pre-product brands or teams expecting guaranteed outcomes
How we measure
We use repeated prompt testing, source checks, and trend-based directional reporting with methodology notes.