AI Search Visibility Audit
An AI search visibility audit should show you the real evidence of how AI tools describe you, not make up a single universal ranking.
We'll reply with a written proposal: the work, what we need from you and an estimated timeline.
A neat-looking visibility score can hide a bad sample, a wrong answer or a source that AI tools can't reach.
Before we recommend any fix, we look at the questions buyers really ask, which AI tool and account setup was used, the actual answers, the true facts about your business, whether the cited sources back up the answer, whether AI bots (automated programs that read websites) can reach your site and what total each percentage is based on.
The score can't be checked
A dashboard shows a visibility score or "share of voice" (how often you appear compared with competitors) but doesn't show the exact questions, AI tools, account setup, raw answers, cited web addresses, failed runs, weightings or the total it was calculated from.
Very different AI tools are lumped together
Google's AI Overviews, Google AI Mode, Gemini, ChatGPT Search, ChatGPT without web search, Claude, Perplexity and Copilot are added together, even though the product, whether it searched the web, the market and the access all differ.
A mention is counted as a recommendation
A neutral reference to you as a source, a warning, an unflattering comparison, a spot in a long list or a stray link is counted as if the AI tool were recommending you to buyers.
A citation is assumed to prove the answer is right
The page an AI tool shows as its source may be out of date, copied, about something else or unrelated to the sentence next to it, yet the answer is marked accurate just because a source is shown.
Different bot jobs are treated as one on/off switch
Appearing in search results, possible use for AI training, text previews (snippets), pages fetched when a user asks, robots.txt rules (a file that tells bots what they may read), noindex tags (which keep a page out of search) and firewall blocks are all treated as the same access decision.
No one owns each buyer question in the fix plan
Every question you don't show up for becomes a new page, while fixing existing content, brand facts, product feeds, profiles, digital PR, schema, analytics and merging pages are left with no one in charge.
Our AI search visibility audit: seven areas of work that turn a sample of AI answers into a dated report you can act on.
An AI search visibility audit shows how AI search and answer tools, such as ChatGPT or Google's AI Overviews, described your brand on a set date, for a set list of buyer questions. You get the exact method we used, the answers, the sources each tool cited and our checks of those sources. You also get confirmed business and technical findings, a priority plan to fix problems and a plan to repeat the checks later. We keep four things apart so they never get mixed up: what we saw in our sample, what the platforms' own reports say, visits that came from AI tools, and real customers.
Your proposal names the brands and products, markets, languages, sample of buyer questions, competitors, AI tools, modes, number of repeat runs, technical checks and depth of evidence included. Each area of work produces something you can use, and we say clearly what data or reviewer it depends on.
Audit plan and business facts
We agree what buying decision the audit supports, which brands and products, markets, languages, AI tools and risks are included, and where the audit ends and fixing begins. Then we check names, other names you go by, claims, sources, where each fact applies, who owns it and when it expires.
A weighted list of buyer questions and a fixed testing method
We build questions from search data and from the way your sales team, support team and customers talk. We link each question to what the buyer wants and how valuable it is, then agree rules for the AI tool, mode, account, chat memory, market, language, device, repeat runs and evidence.
Dated evidence from every AI tool tested
Before we calculate any score, we save the exact questions, the conversation so far, answers, citations, links, screenshots or exports, times, run settings, failed runs and the version of our method.
Checking answers, brand details and citations
We separate being recognized, mentioned, recommended, cited and linked, plus the tone and the part you play in the answer. We make sure each name really refers to your business and test important claims against the true facts and the sources cited.
Technical access and AI bot check
We look at each provider's separate bots for search, AI training and fetching pages when users ask, your robots.txt and page-level rules, your CDN and firewall responses (CDN: a service that delivers your site quickly; firewall: a security filter that can block bots), the text bots actually see, canonical tags (which mark the main version of a page), whether pages can appear in search and as previews, and any server records we can get.
Finding gaps in content, competitors and sources
We compare you with sensible alternatives, trace which pages and types of websites AI tools cite, and map missing proof, content, brand facts, schema, product feeds, profiles, links between your pages, duplicate pages and evidence from other websites.
Priority plan, report and re-check design
We rank fixes by customer value, evidence, risk, effort and what they depend on, and give each one to the right owner. We also set which platform numbers to track, how to link them to real results, how to log each change that goes live, how to rerun the same tests fairly and when to call a result "not clear yet".
Findings walkthrough with your team
We take your team through the results in a live session, explain what each finding means in plain terms and answer questions. Together we agree who takes each next step, so the report leads to action instead of sitting unread.
Every finding links back to the question, the answer, the source, the test conditions and the person in charge.
We keep five kinds of evidence apart: what we saw in our sample, the platforms' own numbers, whether AI tools can technically read your site, the true facts about your business, and real business results. We don't squash these very different things into one made-up "AI rank".
The audit gives you one clear diagnosis
The scope shows where checking ends and where other work begins, such as AI SEO, content, schema, product feeds, digital PR, technical fixes or ongoing tracking.
Raw evidence comes before any score
Every finding can be traced back to the exact question, test conditions, answer, cited or linked web address, time and the label we gave it.
We check claims and citations separately
We check the true facts about your business, that a name really means you, where each source came from, how fresh it is, whether it applies and whether the cited page actually backs up what the answer says.
Each bot setting is used for its real purpose
Letting search bots in, choosing whether your content can be used for AI training, preview text settings, pages fetched when a user asks, noindex tags, firewall behavior and private areas of your site are each handled separately.
Platform and business numbers keep their own meaning
Google impressions (times you were shown), Bing's AI citation counts and sample search phrases, visits from ChatGPT, website analytics and sales records are never relabeled as one made-up rank.
The handover shows doubts and owners
The totals behind each percentage, repeat runs, failed runs, how much results vary, outside factors, how serious each issue is, what depends on what, change notes and whether each decision is supported or not clear yet all stay visible.
What goes into a reliable, trustworthy AI search visibility audit.
These 36 parts cover planning the audit, collecting evidence, checking answers and sources, technical access, comparing you with competitors, measurement, rules and upkeep, plus some newer methods we only use when they fit your business.
Tools collect data. How each number is defined, what access we had and the raw evidence decide what it really means.
Google Search Console and Bing Webmaster Tools (free tools that show how your site performs in Google and Bing), website analytics, server logs (your site's own record of every visit), saved browser captures and outside visibility tools each answer a different question. Naming a tool does not mean we are partners with it or certified by it, that we can test every possible question, or that we can see how a platform decides its answers.
Seven checks that turn what AI tools say about you into clear decisions, each with an owner.
For each check we keep the current evidence, the rules we used to sort it, the limits, what it depends on, who is in charge and how we will confirm a fix worked. A screenshot, a count of citations or a score from a software company is not enough on its own.
Audit plan, business facts, brand names and your starting point
We start by agreeing what the audit can fairly judge, and which facts, markets, brands, products and results your business is able to approve.
The audit can end with making fixes, ongoing tracking, fixing basics first, no action or a finding that isn't clear yet. You don't need to sign up for a new GEO (generative engine optimization: ongoing work to show up in AI answers) program.
Buyer questions, test conditions, repeat runs and rules for collecting evidence
A list of questions is only useful when every question has a source, a goal, a weight and test conditions we can repeat.
No sample of questions covers every user, and public answers can't reveal how a platform decides, what it searched behind the scenes or any universal rank.
Raw answers, name matches, the part you play, accuracy and seriousness
We save what the AI tool actually said before any score or automatic label strips out the context.
Being recognized, mentioned, recommended, cited, linked, spoken of positively and described accurately are different things, and we record each one separately.
Cited web pages, groups of related sites, original evidence and whether sources back up the claims
A citation shown in an AI answer is where our source check begins. It doesn't prove the answer is right.
Public evidence can show the cited page and how it links to other sources. It can't show every hidden step an AI tool took to find, rank or trust its sources.
Search bots, AI training, previews, pages fetched for users, firewalls, page display and search listing
Each provider's bots and settings do different jobs, and seeing a page in your own browser doesn't prove a bot gets usable content.
Robots.txt rules ask bots to behave in a certain way. They are not a login and they don't protect private content.
Competitor fit, content, proof, schema, feeds, profiles and pages competing with each other
The fix goes where the real problem is, instead of writing a new article for every question you don't appear for.
Basic SEO, useful original content and accurate business data still matter. Special "AI schema", forcing text into small chunks and fake mentions are not reliable shortcuts.
Platform data, totals, real results, changes that go live and uncertainty
The report keeps our sampled observations, the platforms' own numbers, visits from AI tools and business results apart until the final decision.
A better answer after a change goes live may still only point in a direction or not be clear, because platforms, search indexes, competitors and samples all change on their own.
From an unclear visibility score to a dated starting point, a priority plan and a fair repeat check you can compare.
Your team has screenshots or a visibility score, but the sample of buyer questions, the date, the test conditions, the cited sources and the true business facts are incomplete.
- The sample doesn't reflect your customersQuestions suggested by a tool, markets, competitor brands and priorities are used without a written buying decision or a rule for what counts.
- The evidence can't be checked againThe date, AI tool, mode, account setup, chat memory, exact answer, citation, link, failed runs and source page are hidden behind a chart.
- Every gap gets the same explanationTechnical access, search listing, accuracy of brand facts, usefulness of content, evidence, profiles, outside sources and normal ups and downs in the sample are never checked.
A dated starting point links real buyer questions to the exact test conditions, answers, citations, source evidence and findings, each one sent to an owner.
- The testing method is agreed and signed offWhere each question came from, its priority, AI tool, mode, account, chat memory, market, language, device, repeat runs and anything left out are all visible.
- You can review how accurately AI tools describe your brandBrand names, the part you play, claims, dates, recommendations, web addresses, related sites, whether sources apply and whether they back the answer all link to exact evidence.
- Each finding has a practical next stepDecisions on content, evidence, merging pages, bots, search listing, schema, profiles, outside sources, analytics or no action each have an owner.
A repeat check and any available platform data show what changed, what is still uncertain and what the next priority should be, based on the evidence.
- Changes can be linked to what went liveThe pages, brand facts, claims, sources, settings and checks that changed are each noted with the date they went live.
- Results keep their level of uncertaintyWhich runs counted, failed runs, repeats, priorities, how much results varied, platform definitions and sample limits all stay attached.
- The to-do list follows the evidenceFindings on answers, citations, sources, visits from AI tools, accuracy and customer use lead to a priority, a no-action decision or a "not clear yet" decision.
AI search visibility for your type of business depends on your brands, your buyers' questions, the sources AI tools read and how much a wrong answer could cost you.
A local service provider, an online store with a large product catalog, a regulated adviser, a publisher and an industrial supplier each need different questions, rules for matching names, standards for sources, levels of seriousness and ways to link AI answers to real results.
Local and multi-location
Names, categories, addresses, service areas, hours, reviews and whether each branch qualifies differ from place to place, which can lead AI tools to recommend the wrong location.
Ecommerce and retail
Products, versions (such as size or color), price, stock, shipping, what works with what, reviews and store data change faster than many outside websites update.
Software companies (SaaS)
Answers about plans, features, integrations (connections with other software), security and comparisons can be distorted by old pages, review sites and fast product updates.
Business-to-business (B2B) and professional services
Few searches, long decisions made by groups of people and expert claims make broad "share of voice" scores less useful than solid sources and good-quality sales leads.
Healthcare and wellness
Claims about treatments, qualifications, safety, locations and results can cause harm, so they need review by a qualified expert and evidence that fits the local rules.
Finance, insurance and legal
Rates, who qualifies, advice, licenses, regions, required disclosures and dates mean a positive-looking mention can be dangerous if the answer doesn't apply to the reader.
Publishers and media
Being cited, getting credit for your work, original reporting, reposting by other sites, paywalls, preview text, bot settings and AI training choices all affect each other.
Travel and hospitality
Location, season, price, availability, reviews and policies change across markets, and recommendations can depend heavily on who is asking and what the AI tool knows about them.
Education and training
Claims about programs, accreditation, entry rules, fees, deadlines and results differ by intake group, campus and region.
Marketplaces and directories
Huge numbers of listings, other names, duplicates, listing quality and changing availability can make brand and citation counts unreliable.
Industrial and manufacturing
Part numbers, standards, what fits with what, distributors, regions and safety evidence need exact matching of products and sources.
Membership, nonprofit and community groups
Your mission, who can join, member benefits, local chapters, events and public versus members-only information can be scattered across profiles and local sources.
Who does what: we deliver the audit, and your team approves the business facts and decides what gets fixed.
Your proposal names what Softscotch checks and confirms, which SEO, content, PR, schema (hidden website labels), product feed, analytics and website hosting people we coordinate with, and which claims, markets, risks and access decisions stay with you.
The agreed audit: your starting point, the evidence record, the fix plan and the re-check design.
- Agree the audit plan, brands and products, markets, AI tools, true business facts, where the audit ends and your current starting point
- Build the weighted list of buyer questions, the AI tool test grid, the repeat schedule and the rules for collecting evidence
- Collect and save exact answers, citations, links, run details, failed runs and allowed screenshots or other visual evidence
- Match brand names and web addresses, and review the part you play in answers, key claims, whether citations back them up, where sources come from and competitor fit
- Check robots.txt, each provider's bot settings, server and firewall responses, what bots can see, whether pages can be listed and any logs we can get
- Deliver a guide to what each number means, a report on platform data and real results, a priority fix plan with owners and a fair re-check plan
The specialists and teams needed to confirm our findings or to make the fixes you choose.
- Coordinate with AI SEO, GEO & LLM Search for the wider plan of fixes after the audit
- Coordinate with LLM Visibility & Citation Tracking for ongoing tracking and keeping the question list up to date
- Coordinate with AI-ready Content, Prompt Gap Analysis and Schema for AI for work on pages, questions and key facts
- Coordinate with Digital PR for AI Citations and the people who manage your profiles and reputation for outside evidence and corrections
- Coordinate with your SEO, developers, CDN, firewall, website editor (CMS), product feed, local profile and analytics owners for technical checks
- Coordinate with your product, legal, compliance, customer, sales and subject experts to review facts, risks and results
Your business keeps the final say on facts, markets, access, risk and what gets fixed.
- Approve brands and products, other names, offers, markets, languages, buying decisions, sensible competitors and what is left out
- Confirm the official facts, claims, sources, where they apply, when they expire, any disputed facts and who is qualified to review
- Approve platform accounts, access for testing, any automatic collection, personal data, how long evidence is kept and when it is deleted
- Give confirmed access to Google and Bing webmaster tools, analytics, server, CDN, website editor, product feed, profile and CRM where chosen
- Approve serious findings, corrections to public pages or outside sources, legal positions and which fixes come first
- Accept the final limits, fix-plan owners, fee, timing, re-check design and the rule for deciding whether a result is supported or not clear yet
How the audit works: nine linked records that trace each buyer question through to the fix and the re-check.
A change to a question, an AI tool, an account, an answer, a source, a page, a bot setting, a website update or a measurement can change a finding. We save a dated version of each record so those changes always stay visible.
AI Search Visibility Audit
Buying decision, brands and products, other names, claims, sources, markets, risk, what's left out, owners of related work and your current starting point.
Real customer questions, goal, buying stage, brand, market, source, value, risk, weight and anything left out.
Product, mode, whether web search is on, account, chat memory, location, language, device, workspace and availability.
Exact question and conversation so far, answer, citation, link, screenshot or export, time, failed runs and method version.
Matched brand names, the part you play, tone, key claims, missing facts, accuracy, unclear cases and how serious each issue is.
Cleaned-up web addresses, redirects, main page versions, related sites, origin, independence, whether it applies and whether it backs the claim.
Each provider's bots and what they do, robots.txt and page settings, server, CDN and firewall responses, what bots see, discovery, search listing and logs.
Google and Bing data, visits from AI tools, the totals behind each rate, how much results vary, engaged visits, sales in progress and limits.
Fixes with owners, what they depend on, changes that go live, fair comparisons, outside factors, decisions, upkeep and handling of serious issues.
The connected growth engine
Handles the wider program of fixes: technical setup so AI tools can find you, how your content is organized, brand facts, building outside sources, measurement and rules for upkeep.
Handles regular tracking of questions and citations, keeping trends up to date and sending alerts after the one-off audit sets your starting point.
Handles deeper research into what buyers ask, and which questions matter most, when that research is the main job.
Handles how clearly each page answers questions, plus evidence, claims, brand facts, source notes, how easy the content is to use and links to related pages.
Handles schema (hidden labels that describe your pages to search engines) that matches what's visible on the page: planning, adding, testing and upkeep. It can't promise AI tools will cite you.
Handle outside sources and reputation, plus the tracking setup for visits from AI tools, your CRM and later sales results, when those gaps are part of your plan.
One connected scope. AI Search Visibility Audit is coordinated with the strategy, creative, experience, data and reporting it depends on, so responsibilities and handoffs stay visible in one written plan.
How long an AI search visibility audit takes, and the full growth plan.
The AI Search Visibility Audit goes from getting access and collecting evidence to a report you can act on in about three weeks, once we have the accounts and source records we need. Fixing problems is planned separately from finding them. The audit is one part of the six-month Softscotch growth plan shown below.
AI Search Visibility Audit, from audit to action
Agree the audit plan
Confirm buying decisions, brands and products, markets, languages, AI tools, risks, access, what you get, what's left out and where the audit ends and fixing begins.
KPI Plan agreedRecord your starting point
Record how Google reads and lists your site, normal search results, visits from other sites, landing pages, analytics and later sales results.
KPI Starting pointCollect raw AI answers
Save the exact questions, answers, citations, links, times, settings, failed runs and allowed screenshots or exports.
KPI ProofMap gaps in content and against competitors
Compare sensible alternatives and decide where content, proof, schema, feed, profile, PR, page-merging and no-action decisions should go.
KPI Gap mapAdd platform data and real results
Add Google and Bing reports where available, visits from ChatGPT, the totals behind each rate, how much results vary and good-quality business results.
KPI ReportSet priorities and plan the re-check
Assign fixes, what they depend on and how we'll check each one worked, then set out how changes are dated, fair comparisons, outside factors and decision rules.
KPI Fix planOur full growth plan (all services together), month by month
Foundation and review
We review your whole website, where you rank and your competitors, agree how the site should be organized, and set up hosting, analytics (visitor tracking) and your GoHighLevel lead system. The first agreed pages start going live.
KPI pages liveBuild and launch
The site is built or rebuilt. Main, service and industry pages go live with on-page SEO, website labels and technical fixes. Your Google Business Profile is improved and lead follow-up automations are switched on.
KPI pages in GoogleEarly rankings, paid ads start
More pages built from templates (programmatic pages) start going live, paid ads and email follow-ups are switched on for early leads, and Google adds your pages to its results as the first rankings usually appear.
KPI search terms rankingMomentum builds
Rankings often start climbing, visits from free search begin to rise, ad spending is tuned to the return it brings (ROAS, return on ad spend), and groups of related articles and links from other sites build your reputation with Google.
KPI visits from searchResults start to show
Main search terms can move closer to page one, the first leads from free search often arrive, AI tools may begin to mention you, and testing improvements to your pages (CRO, conversion rate optimization) helps more visitors get in touch.
KPI leads from searchGrowth builds on itself
Pages that are working are protected and improved, template pages bring in visitors searching for very specific terms, and SEO, ads, email and automation work together to bring steadier leads and sales. Timing varies by market and competition, and no ranking is guaranteed.
KPI leads and salesHow we compare: a good AI search visibility audit is careful evidence, not a universal score or a promise of citations.
The difference is a clear, written link between what buyers want, the exact test conditions, the raw answers, the true facts about your business, whether sources back up the answers, whether AI bots can read your site, the platforms' own data, real business results and a next step that someone owns.
- Uses questions suggested by a tool, with no link to real buyers, sales value or clear exclusions
- Combines different AI products, modes, accounts and markets into one visibility score
- Asks each question only once and treats that single answer as a stable ranking
- Counts every mention, source appearance or link as a positive recommendation
- Treats the presence of a citation as proof that the answer is correct and supported
- Reports website names without checking main page versions, redirects, duplicates, related sites or where the content first came from
- Checks one robots.txt file without separating search, AI training, previews, pages fetched for users and firewall behavior
- Ignores Google's and Bing's own current reports, or relabels their numbers as rankings
- Recommends a new page for every question without deciding which page owns each need or checking for pages that compete with each other
- Gives credit for any change to the latest update without matching test conditions, checking outside factors or allowing a "not clear yet" result
- Builds a weighted list of questions from real demand, customer language, fit, value and risk
- Keeps the AI tool, mode, web search setting, account, chat memory, market, language and device visible
- Uses dated, repeated tests with saved raw answers, failed runs and clear totals behind each rate
- Separates being recognized, mentioned, recommended, cited and linked, plus the tone and your part in the answer
- Tests important claims in each answer against the true facts and the cited page itself
- Cleans up web addresses and traces related sites, copies and the original evidence
- Checks each provider's bot settings, server responses, what bots can see, search listing and any server records
- Keeps Google impressions, Bing citations and sample phrases, visits from AI tools and business results as separate numbers
- Sends each gap to one owner: content, page merging, technical, schema, feed, profile, PR, analytics or no action
- Dates each change, keeps test conditions matched, records outside factors and allows a supported, harmful or "not clear yet" result
Results from Softscotch client work.
These totals come from work for Softscotch clients across search, paid ads, websites and lead generation, as published on softscotch.com. Past results don't guarantee future results.
All six Softscotch client stories.
Every Quick Story currently published on Softscotch.com, covering education, ecommerce, healthcare and SaaS. Stock photography represents each client industry; the figures are reported historical results and do not guarantee future performance.
Education Ads + local SEO
183% more leads for an education consultancy
An education consulting business in India needed to build its digital presence and lead flow from scratch.
- Built a new WordPress website
- Used Quora ads to grow daily lead volume
- Added Local SEO and community engagement
Home solutions Shopify + SEO
Home-solutions ecommerce growth
A home-solutions business was dependent on business-to-business (B2B) marketplaces, losing sales and recovering from a Google penalty.
- Resolved the Google penalty
- Revamped the website and online store
- Improved organic visibility and Amazon campaign performance
Health consultant $20/day
Five booked calls a day for a health consultant
A Houston lactation consultant needed to recover a malware-damaged website and rebuild local patient acquisition.
- Rebuilt the hacked site and migrated it to secure hosting
- Ran targeted Facebook and Google campaigns
- Reached top-three local Google positions
Ecommerce 10 months
315% organic growth for an ecommerce site
Softscotch reports a 315% increase in ecommerce organic traffic over 10 months through focused on-page SEO.
- Optimized product and collection pages
- Improved the links between pages and the page addresses (URLs)
- Made the site easier for Google to explore and better matched to what people search for
SaaS platform Cold outreach
9% close rate for a transcription SaaS
A transcription platform needed a qualified prospect list and a reliable email-sending setup for outreach we managed.
- Built a comprehensive prospecting list
- Managed the cold outreach campaigns
- Set up reliable email-sending servers (SMTP)
Healthcare 6 months
182% organic growth for a healthcare clinic
A clinic in a competitive location needed to build organic search visibility from the ground up.
- Built the clinic's foundation for unpaid (organic) Google search
- Combined on-page and off-page SEO
- Reached top-five positions in Google Search
Teams that stopped leaving clicks on the table.
"The Softscotch team has been a solid partner as our business evolved over the last five years. Unlike most agencies, they have never charged us for work that falls outside the agreement. That is what sets them apart."
"Without their knowledge, we would be in a very different place than we are now. Whenever they find something that can be improved, they implement it quickly. I could not be happier with their performance and response time."
"Softscotch goes above and beyond the scope. The time, effort and dedication they put in is like having your own in-house marketing team. They are not just another marketing company."
"We are extremely happy with Softscotch, such an attentive team. No project is too small, and they give their 100%. We are extremely satisfied with their work."
"Softscotch is a great team to work with: transparent, reliable and genuinely invested in the growth of your company. They are good partners to have by your side."
"The Softscotch team has been a solid partner as our business evolved over the last five years. Unlike most agencies, they have never charged us for work that falls outside the agreement. That is what sets them apart."
"Without their knowledge, we would be in a very different place than we are now. Whenever they find something that can be improved, they implement it quickly. I could not be happier with their performance and response time."
"Softscotch goes above and beyond the scope. The time, effort and dedication they put in is like having your own in-house marketing team. They are not just another marketing company."
"We are extremely happy with Softscotch, such an attentive team. No project is too small, and they give their 100%. We are extremely satisfied with their work."
You'll always know exactly what we changed.
Plenty of agencies go quiet after the audit and you never quite know what you're paying for. We do the opposite. You get a live view of every change and what it moved, in plain language you can act on.
Live client dashboard
Every change, score and ranking in one place you can open any time, not a monthly PDF you wait around for.
Ready for your review
Weekly video summary
A short screen-recorded video (Loom) each week walking you through exactly what shipped and what it moved, so nothing is a mystery.
Before
After
Before/after score per page
See the exact lift on every page we touch, not a vague "it's improving" you have to take on faith.
Approved page updates are live.
Product details need a review.
Confirm the next priority pages.
Plain-English reporting
Clicks, rankings and revenue, explained in words you can act on, instead of a wall of charts about how often you were seen (impression charts.
Reports on demand
Ask for any cut of the data whenever you need it and get it, no waiting for the end of the month.
- ✓Proposed
Softscotch prepares the change.
- ✓Approved
Your team gives the go-ahead.
- ✓Published
Checked live and recorded.
Ethical, transparent, always on
One accountable team, strictly white-hat (only methods search engines and platforms allow), no shortcuts and no surprises. Support whenever you need it.
One Softscotch plan gives you access to the full service stack, coordinated around your priorities.
You do not need a separate agency or retainer for every channel. Your plan can draw from search, paid media, web, ecommerce, outreach, automation, lead generation, messaging, content, creative and operations. The agreed scope sets what is active, in what order and at what capacity.
One price for everything, not a stack of separate retainers.
You get one price for your whole marketing, not a separate retainer for every service. SEO, paid ads, your website, automations, cold email and newsletters, we run all of it as a single scope, so you get the most result for what you pay. Agencies sell each of these on its own, so the invoice climbs whether or not that line drives a single lead.
A different agency or retainer for each service. The bill stacks up fast, and keeps climbing whether or not each one moves a single lead.
Plus the one-off build, and a fresh contract, kickoff and onboarding delay for every new service you add.
We run your whole marketing as one engagement, so you get the most result for what you pay, not a pile of disconnected invoices.
- SEO: technical, on-page, content, local and AI search
- Template-built pages (programmatic SEO), links from other websites (backlinks) and authority
- CRO and landing pages
- Paid ads across Google and Meta
- Automations, cold email and newsletters
- WordPress build, setup and ongoing care
- One team, one roadmap and one point of contact
- Reporting tied to qualified leads and revenue
Priced to your site after the audit. No sticker price, and no per-service creep.
AI search visibility audit FAQs: straight answers, with no fake rankings or unproven GEO tricks.
These answers cover what's included, which AI tools we check, how we choose questions, repeat runs, citations, AI bots, platform data, accuracy, competitors, making fixes, guarantees, timing, pricing and re-checks.
What is an AI search visibility audit?
It is a one-off check, with clear limits, of how chosen AI search and answer tools describe your brand for a set list of buyer questions. We save the exact test conditions, answers, citations and source evidence, confirm your brand details and whether AI bots can read your site, and give you a priority plan to fix problems and re-check them.
Is this the same as AI SEO, GEO or AEO?
No. The audit shows what is happening now and finds where the problem sits. AI SEO, GEO (generative engine optimization) and AEO (answer engine optimization) are the ongoing work to improve how you show up in AI answers, and can include technical SEO, content, brand facts, outside sources, schema and measurement. We keep that wider work on our AI SEO page so the audit price doesn't hide an open-ended program.
Which AI platforms and tools do you check?
Your proposal can include Google's AI features in search, ChatGPT Search, Perplexity, Claude with web search, Microsoft Copilot or other supported tools. We name the exact product and mode, because Google's AI Overviews, Google AI Mode, Gemini, chat tools that search the web and chat tools that don't are not the same. What's available depends on your market, the account and the date.
How do you choose the questions to test?
We use real search demand, customer research, the way your sales and support teams talk, how people move through your site, your products, comparisons, locations and follow-up questions. Every question we include links to a buying decision, a goal, a brand, a market, a source, a weight and a reason. We merge questions that only differ in wording instead of pretending every phrase is a new keyword.
How many questions and test runs are included?
There is no honest one-size-fits-all number. The sample depends on how many brands, buyer goals, markets, languages, AI tools and decisions are involved, plus the repeat runs needed to see how much answers vary. Your proposal states the questions, repeat rules, what's left out, depth of evidence and cost before we start collecting.
Do you give an AI visibility score or rank?
We can give clearly defined rates and a scorecard, but not a universal AI rank. Every number shows which runs counted, failed runs, weightings, how much repeat runs varied and the rules we used to sort answers. Different AI tools stay separate, and the result may only point in a direction or not be clear yet.
What is the difference between a mention, a recommendation and a citation?
A mention names your business. A recommendation presents you as a good option for the question. A citation shows a source, and a link sends people to a web page. A brand can be mentioned in a negative way, cited without being recommended, or recommended without any of its own pages being cited, so we report each one separately.
Do you check whether citations actually back up the AI answer?
Yes, for the important claims and the depth of source checking chosen in your scope. We open the cited page and label whether it fully supports, partly supports, doesn't support, contradicts or doesn't apply to the claim. Then we check where the source came from, how recent and independent it is and whether it fits your market or product. A citation being shown does not prove the answer is accurate.
How do AI bot and robots.txt checks work?
Following each provider's current guidance, we separate bots that list pages for search, bots that may collect content for AI training, preview text settings and pages fetched when a user asks. We check robots.txt and page-level rules, CDN and firewall responses, what bots can see, search listing and any logs available. Robots.txt is not a lock on your content, and one rule for one bot does not control everything a provider does.
Can you confirm that ChatGPT, Perplexity or Claude have visited our pages?
Where useful server, CDN or firewall logs exist, we can look at likely bot visits, how your site responded and each provider's current guidance on confirming its bots. The name a bot gives itself can be faked, and not seeing a bot in a short window of logs doesn't prove it can't reach you. So the report says clearly what was confirmed, what wasn't and what we couldn't check.
Do you use the AI data in Google Search Console and Bing Webmaster Tools?
Yes, when your site is set up in these tools and the feature is available to you. Google has added dedicated reports on its AI search features for some sites, and Bing's AI Performance report shows how often your pages are cited, which pages are cited and sample search phrases the AI used to find them. We keep their different definitions and rollout limits instead of merging them into a fake rank.
Can you see the exact questions people type into ChatGPT?
Not as a complete report like the one website owners get for Google searches. We can measure visits that reach your site from ChatGPT links, but the questions people asked, the influence of answers that didn't lead to a click and account details are not fully shown. Our list of questions is a testing method, not proof of every real question people ask.
How do you compare us with competitors fairly?
For each question we decide which alternatives are sensible, then compare how they are mentioned, recommended, cited and backed up. Famous brands or brands from other markets aren't treated as equal competitors by default, and unexpected businesses that show up are reported as a finding rather than squeezed into your named competitor list.
What happens if an AI answer says something seriously false about us?
We save the exact evidence, compare the claim with your approved sources, rate how serious it is and where it appears, and pass the issue to the right person on your team. Fixing your own pages, working on outside sources and contacting the AI provider or the public each need different approvals. We can't promise when an outside AI tool will change its answer.
Does the audit include making every recommended fix?
No, unless your proposal includes specific fixes. The audit gives each task to the right owner: an existing page, page merging, technical SEO, bot settings, content, schema, product feeds, profiles, digital PR, analytics or ongoing tracking. This keeps the audit price and the handover clear.
How often should AI search visibility be re-checked?
Re-check once the chosen fixes are live and the AI tools and search engines have had a fair chance to re-read your site or update. After that, use ongoing tracking only where it is worth it for your decisions. We keep the same questions and test conditions, date each change and note outside factors such as AI model updates, search index changes, competitors and changes to our method.
Can you guarantee more mentions, citations, traffic or revenue?
No. Outside platforms decide what they look up, what they answer and how they show it, and they can change at any time. We are responsible for the agreed method, evidence, diagnosis, fix plan and re-check. The report may support a direction, show harm or stay unclear, rather than pretending to be certain.
How long does the audit take and how is it priced?
Timing and price depend on the number of brands and products, markets, languages, AI tools and modes, questions and repeat runs, account and log access, how deeply we check sources and claims, technical complexity, any regulated-industry review, linking platform data to results and how detailed the report is. Your proposal states the sample, what we need from you, what's left out, the schedule and the fee before work starts.