AI Website Audit: How to Find What Is Killing Your Leads

A website audit should answer one commercial question: where, between a buyer arriving and a buyer enquiring, does the site lose people it should have kept? Everything else, from load times to heading structure, matters only in so far as it explains that loss. An audit that ends with a long list of faults and no view on which of them cost you enquiries has described the website without diagnosing it.

That framing changes what you look at. A technical review asks whether the site works. A diagnostic review asks whether it works for the buyer you need, on the pages that buyer actually uses, at the moment they are deciding. The first can largely be automated. The second needs someone who understands the offer, the market and how sales conversations really go.

A useful audit should leave you able to answer six questions plainly:

• Clarity: can a stranger tell what you offer, who it is for and why they should choose you from the first screen?
• Path: can a motivated buyer reach the information and the next step they need, on a phone as easily as on a laptop?
• Visibility: are the pages that sell your most valuable work found, indexed and understood by search and answer engines?
• Belief: does the site give a sceptical buyer enough reason to trust you at the moment you ask for their details?
• Action: is the enquiry step easy, honest about what happens next and designed to attract the right people?
• Evidence: can you see which pages and sources produce real leads, so that every other answer rests on more than opinion?

If an audit cannot answer those questions, it has not finished, however long its report. If it answers them with a single number, it has hidden the reasoning you need in order to act. A score can tell you that something changed; it cannot tell you what to do next.

The most reliable way to audit a website is to put one page at the core and examine it in five layers: positioning, experience, search, trust and conversion. Each layer asks a different question of the same page, and each tends to fail in its own recognisable way. Working layer by layer stops the review collapsing into whichever problem is easiest to see, which is usually the visual design.

1. Positioning asks whether the page makes a clear, specific offer to a defined buyer.
2. Experience asks whether that buyer can move through the page and the site without friction on any device, and it includes performance and accessibility.
3. Search asks whether the page can be found, read and correctly understood by search engines and by the answer engines that draw on them.
4. Trust asks whether the page offers enough proof and reassurance for the buyer to believe the offer.
5. Conversion asks whether the next step is obvious, low in friction and set up to bring in the right enquiries.

Tracking is not a sixth layer, because it is not something the buyer experiences. It is the instrument you read the other five with. Without it you can still form hypotheses, but you cannot tell which problems cost enquiries and which are merely untidy.

Why start from one page rather than the whole site? Because buyers do not experience a site; they experience a sequence of pages, often beginning somewhere other than the homepage. Choose the pages that carry commercial weight, such as the homepage, the main service pages, paid landing pages and the enquiry page, and take each one through all five layers. A problem that repeats across pages is usually structural. A problem confined to one page is usually local and cheaper to fix.

The findings from every layer are then weighed by people and prioritised by impact and effort. They are never added up into a single score, because the layers are not interchangeable. Strong search visibility does not make up for a form that fails on mobile, and a fast page cannot rescue an offer nobody understands. Adding them together produces a number that looks precise and means very little.

Before opening any audit tool, collect the evidence that shows what the site is meant to achieve and what is happening now. An audit that begins with screenshots and opinions tends to find what the reviewer already dislikes. One that begins with evidence finds what is actually costing enquiries.

1. The commercial brief. Which services matter most, which buyers are worth most and what a good enquiry looks like. Without this, the audit cannot tell a critical page from a forgotten one.
2. The sales team. Ask what prospects misunderstand, which questions come up on every call and which objections stall decisions. These are the positioning and trust problems the website is failing to answer before the conversation starts.
3. Analytics and enquiry records. Look at where people land, where they come from, where they leave and which sources produce enquiries that become paid work. Anything you cannot see is a finding in its own right.
4. Search data. Check which queries bring people in, which important pages barely appear and whether any of them are excluded from the index.

Then walk the site as a buyer would. Arrive on a service page from a search result rather than on the homepage, open it on a phone over an ordinary connection, and try to find an indication of cost, an example of relevant work and a way to enquire. Note each moment of hesitation before you name its cause. The notes will be rough, but they anchor the audit to what a real visitor meets rather than to a checklist written for nobody in particular.

Finally, agree what a win looks like before anything changes. If the business needs more qualified enquiries for one service line, every later recommendation should be judged against that, not against traffic in general and certainly not against a tool’s score.

Positioning is the first layer to audit because every other layer depends on it: if visitors cannot tell what you offer and for whom, faster pages, better search visibility and shorter forms only deliver more people to a message they do not understand. The test is simple to describe and uncomfortable to run. Show the page to someone outside the business and ask what you sell, who it is for and why they might choose you over the obvious alternative.

The first-screen test

The first screen of a page should state the offer, the buyer and the reason to care before anyone scrolls. Read the headline, the line beneath it and the primary call to action together, as a visitor would, and ask three questions of them.

• Specific or generic? A headline such as “Solutions that drive growth” could belong to any number of companies. One that names the problem the buyer is trying to solve belongs to far fewer.
• The buyer’s words or the company’s? Internal service names, category jargon and unexplained awards make the reader translate. Buyers search for their problem, not for your department names.
• Offer or atmosphere? Large imagery and a slogan can set a mood, but if the offer only becomes clear further down, visitors who skim may never reach it.

Where the first screen fails, the fix usually starts with rewriting the headline around the buyer’s problem rather than the company’s ambition. That is a copy change, not a redesign, which is exactly why it sits near the top of most roadmaps.

Messaging clarity beyond the headline

Below the first screen, messaging is clear when each section answers the next question a buyer would reasonably ask, in the order they would ask it. Read the page from top to bottom and list the questions it raises without answering: how the service works, what it includes, who it suits and who it does not, what an engagement looks like, and how pricing is decided.

Three faults deserve particular attention. The first is the undifferentiated list, where every service is described with the same adjectives and no reason to prefer one route over another. The second is the missing boundary: a page that claims to serve everyone gives each buyer less confidence that it serves them. The third is the buried answer, sitting in a paragraph nobody reads when it belongs in a heading, a short list or the opening line of a section. Automated tools cannot see any of these; they can count words and headings, but they cannot tell whether the words say anything.

The experience layer asks whether a buyer who understands the offer can get what they need next without effort. Most experience problems are not ugly screens. They are menus that mirror the organisation chart, pages that bury the decisive information and mobile layouts that were approved in a design file and never tested on a real phone.

Navigation built around buyer tasks

Navigation should be organised around what buyers are trying to do, not around how the company is structured. Test it by writing down the tasks that matter commercially, such as understanding what you offer for a particular need, seeing relevant work, getting a sense of cost and contacting the right person, then noting how many choices each task takes and where you hesitate.

The usual symptoms are menu labels taken from internal divisions, several items that sound as though they lead to the same place, key service pages reachable only through a hub, and a contact route that disappears once the visitor scrolls. Where key pages are hard to reach, reorganise navigation around buyer tasks, in the words buyers use. Resist adding menu items; a longer menu usually makes the right choice harder to see.

Check the structure of each page in the same spirit. The decisive content, meaning what is included, who it suits, the proof and the next step, should be within easy reach rather than queued behind company history and generic reassurance. Clear structure also helps search and answer engines read the page, so a structural fix often pays off in more than one layer.

Test mobile on a real phone

Mobile experience has to be checked by hand on an actual phone, because emulators and automated reports miss the problems that stop people enquiring. A layout can pass every responsive check and still hide the call to action behind a consent banner, or open a form field underneath the keyboard.

• Is the offer readable on the first screen without zooming, even when the headline wraps onto several lines?
• Can you reach the primary call to action with one thumb, and can you still find it as you scroll?
• Do pop-ups, chat widgets or consent banners cover the content or the form?
• Does each form field bring up the right keyboard, and do error messages appear where you can see them?
• Do comparison blocks and pricing grids stay legible, or do they spill off the edge of the screen?
• Do phone numbers, email addresses and messaging links open the right app when tapped?

Calls to action and forms are where interest either turns into an enquiry or quietly evaporates, so they deserve closer scrutiny than their size suggests. A page can be clear, fast and persuasive and still lose the buyer at the last step because the button is vague, the form asks too much or nobody explains what happens after submitting.

CTA clarity

A clear call to action tells visitors exactly what they will get and how much commitment it asks of them. “Submit” and “Learn more” describe mechanics; “Request a proposal” or “Get a quote for your project” describe an outcome. On each commercial page, check four things:

• One primary action. Several equally weighted buttons pulling in different directions force a choice before the visitor is ready to make one.
• Consistent wording. If the header says “Get a quote”, the page says “Contact us” and the form says “Start a project”, visitors may wonder whether these are different things.
• A match with intent. Someone still comparing options may not be ready to book a call; a lighter step, such as seeing relevant work, keeps them moving.
• Placement near the decision. The action should appear where the page has just given a reason to act, not only at the very top and the very bottom.

These faults rarely travel alone. Our article on the five website mistakes that quietly kill conversions shows how they combine across a site and what fixing each one involves.

Form diagnostics

A form should ask only for what the business genuinely needs in order to respond well, and it should say what happens next. Audit it by filling it in yourself on mobile and on desktop, then checking what arrives at the other end.

• Does every field earn its place, or are some there only because a template included them?
• Are the questions that help qualify an enquiry, such as the service needed and the rough scope, asked in plain language?
• Does the page say who will respond, through which channel and what the first conversation will cover?
• Do error messages explain the problem, and does the form keep what was already typed?
• Does a submission show a clear confirmation, and does the enquiry actually reach a person?

That last check is not a formality. A form can submit perfectly from the visitor’s side while its notification lands in an unmonitored inbox or a spam folder, and no improvement upstream helps until that is fixed. When enquiries do arrive but are poorly qualified, the form usually sets no expectations; clarifying the next step and asking better questions does more than adding fields.

Trust is audited by asking whether the page gives a sceptical buyer enough reason to believe the offer at the exact point they are asked to act. Most sites have proof somewhere. The failure is usually one of relevance or placement: the proof is generic, suits a different kind of buyer, or sits on a page the visitor never opens.

Good proof answers the doubts a buyer carries towards the ask, roughly in this order:

• Can they do this? Examples of relevant work, described specifically enough to be recognisable, rather than a wall of logos.
• Have they done it for someone like me? Work, sectors or situations close to the visitor’s own.
• Who am I dealing with? Real people, verifiable business details and a plain explanation of how an engagement runs.
• What happens if something goes wrong? A description of process and communication, stated without promises the business cannot keep.

Then check placement. If visitors reach the form but do not submit, look at what surrounds the ask. A form on a bare page, with no proof or reassurance nearby, requests commitment at the moment of greatest doubt. Placing relevant proof beside the form, such as a short example of similar work and a line about who responds, is often the first thing worth testing.

Audit the credibility of the proof as well. Unattributed quotations, round claims nobody can check and badges without context can weaken trust, because careful buyers notice. Proof that is specific, verifiable and honest about its scope does more work than proof that is merely impressive. Never fill a gap with invented testimonials or borrowed logos; missing proof is a content task, not something for design to disguise.

Performance belongs in an audit because a slow or unstable page makes every other layer work harder, but the useful question is where speed hurts buyers, not what number a testing tool returns. Laboratory tests simulate a single visit under set conditions. They are good at pointing to heavy images, render-blocking scripts and shifting layouts; they say little about whether real visitors on your key pages are affected.

1. Field experience first. Where real-user data exists, see how your commercial pages perform for actual visitors, especially on mobile, to confirm that the problem exists outside the test.
2. Commercial pages next. A slow blog archive matters less than a slow service page or enquiry form.
3. Causes, not grades. Identify what is heavy: oversized images, video that loads before anyone presses play, third-party scripts, web fonts and page builders shipping far more code than the page needs.
4. Stability and responsiveness. Content that jumps while loading and buttons slow to respond to a tap frustrate visitors even when the page appears quickly.

Be sceptical of chasing a perfect score. The last increments often demand trade-offs, such as removing a useful script, compromising imagery or rebuilding a template, with no clear commercial return. Fix the causes that affect real visitors on pages that matter, measure again and move on.

Third-party scripts for chat, advertising and tracking deserve particular attention because they accumulate. Each was added for a sensible reason, nobody owns the total, and some quietly duplicate one another. Listing every script on a commercial page, with its owner and purpose, is one of the simplest performance checks there is and one of the most revealing.

The search layer asks whether the pages that sell your most valuable work can be discovered, indexed and understood for the queries buyers actually use. It is not a question of whether the site ranks for something. Plenty of sites draw search traffic to old blog posts while the service pages that produce revenue remain close to invisible.

Work from the foundations upwards, because better content cannot help a page that search engines are not indexing:

1. Indexing and access. Confirm that important pages are indexable, listed in the sitemap, not blocked by robots rules, not canonicalised to another address and not duplicated under several URLs.
2. Intent match. For each commercial page, identify the queries it should answer and check that it genuinely addresses them. A page written to describe the company rarely satisfies someone describing a problem.
3. Structure. Check titles, meta descriptions, one clear main heading and descriptive subheadings over sections that each answer something.
4. Depth. A thin page that lists services and little else gives search engines nothing to rank and buyers nothing to decide on.
5. Internal links and structured data. Important pages should be linked from relevant pages with descriptive anchor text, and schema markup should describe the organisation, services and content wherever it genuinely applies.

Then look at how your pages appear in the results themselves. A title cut off mid-phrase, a description pulled from a cookie notice, or a service page outranked by your own old blog post all shape whether a buyer clicks before the page has any chance to persuade them.

When important pages are barely visible in search, the cause is usually thin content, weak structure or indexing gaps, and the order of work matters: fix indexing, then strengthen the pages that matter. The audit identifies the gap; closing it over time is the job of search and answer-engine optimisation, a discipline in its own right rather than a line item at the end of a report.

Answer-engine visibility is about whether AI assistants and search summaries can read your pages, understand what you offer and represent it accurately when someone asks a question you should be answering. The groundwork overlaps with search, but the audit question differs: not “does this page rank?” but “if a system quoted this page, would the quote be clear, correct and recognisably ours?”

• Direct answers. Does the page answer its central question plainly near the top, and does each major section open with its answer rather than a preamble?
• Clear entities. Is it obvious who the business is, what it offers, where it operates and how its services relate to one another, consistently across the site?
• Readable content. Is the important text in the page itself, rather than inside images, sliders or elements that only appear after scripts run?
• Real questions. Are the questions buyers actually ask, about process, scope and how pricing works, answered in the words buyers use?
• Consistency. Do service descriptions, contact details and claims agree across pages, profiles and listings, so that no summary has to choose between versions?

A page-level check is the right place to start. The SEO and AEO Checker explains what search and answer engines can read on a page and which of those checks Branditify can verify. It is not a site crawler, so use it page by page, beginning with the pages whose representation matters most.

Treat promises of guaranteed citations or placement in AI answers with suspicion. Nobody controls how those systems choose their sources. What you can control is whether your pages give them something clear, accurate and worth quoting.

An audit should cover accessibility basics because a page that some visitors cannot read, navigate or submit loses enquiries for reasons nobody on the team will ever see. A full audit against a formal standard is specialist work; the basics belong in every website review.

• Contrast. Is body text, button text and small print legible against its background, including text laid over images?
• Keyboard use. Can you reach every link, menu and field with the keyboard alone, and can you always see where focus is?
• Labels. Does every form field have a visible label, rather than placeholder text that vanishes as typing starts?
• Images and icons. Do meaningful images have text alternatives, and do icon-only buttons have accessible names?
• Headings. Do headings follow a logical order that describes the page, rather than being chosen for their size?
• Errors. Are form errors described in words rather than signalled by colour alone?

These checks overlap with the other layers. Clear labels help conversion, logical headings help search and answer engines, and legible contrast helps anyone reading a phone in bright sunlight. Automated checkers catch a useful share of accessibility faults, but they cannot judge whether a label makes sense or whether a keyboard journey through a form is workable, so pair them with a manual pass.

Tracking has to be audited before any change is judged, because without reliable data on which pages and sources produce enquiries, every recommendation is a guess and every result is an argument. If nobody can say which pages produce leads, the first action is not a redesign. It is fixing analytics so that events and sources are recorded properly.

A tracking audit checks that the measurement reflects the business, not merely that a tag is installed:

• Are form submissions, call clicks, email clicks and messaging taps recorded as distinct events, once each, and only when they genuinely happen?
• Can the confirmation page that fires a conversion be reached without submitting anything, inflating the count?
• Are campaign links tagged consistently, so that paid, social, email and referral traffic are not lumped together?
• Does an enquiry keep its source once it reaches the CRM or inbox, so you can see which channels bring work rather than just messages?
• Is consent handled in a way that respects visitors’ choices while still telling you what you are permitted to know?
• Are internal visits, test submissions and spam filtered out of the figures?

That last point matters more than it looks. A form that mostly attracts spam can make a page look productive, while a page that produces fewer but better enquiries looks weak. Lead quality belongs in the audit beside lead volume, and it usually lives in the sales team’s records rather than in the analytics tool, which is one more reason to speak to them before judging anything.

Each layer tends to fail with a recognisable signal, and reading those signals well is what turns a list of observations into a diagnosis. A signal suggests a likely cause; it does not prove one. Treat each pairing below as a hypothesis to confirm before committing to the first action.

Positioning. When visitors leave the homepage quickly, the likely cause is that the offer is unclear in the first screen. Confirm it by checking where those visitors came from, because traffic that never matched the offer will leave however good the headline is. If the audience is right, rewrite the headline around the buyer’s problem.

Experience. When key pages are hard to reach, the likely cause is navigation that follows the company, not the buyer. Confirm it by watching someone unfamiliar with the site attempt a real task. If they hesitate between menu items or find important pages only through search, reorganise navigation around buyer tasks.

Search. When important pages are barely visible in search, the likely cause is thin content, weak structure or indexing gaps. Confirm it by checking index status before anything else, since no rewrite helps a page that is not indexed. Fix indexing, then strengthen the pages that matter.

Trust. When visitors reach the form but do not submit, the likely cause is that there is no proof or reassurance near the ask. Confirm it by testing the form first, because a broken field or an intrusive question produces the same signal. If the form works, place relevant proof beside it.

Conversion. When enquiries arrive poorly qualified, the likely cause is that the form does not set expectations. Confirm it by comparing what the page promises with what mismatched enquirers seem to believe they are getting. Then clarify the next step and ask better questions.

Tracking. When nobody can say which pages produce leads, the likely cause is that events and sources are not recorded. Little needs confirming here: fix analytics before judging any change, because until then every other signal on this list rests on guesswork.

The table that follows sets the six signals side by side. Use it to decide what to check first, not as a reason to skip the checking.

A landing page is diagnosed differently from the rest of the site because it has one job and a known visitor: someone who has just clicked a specific advertisement carrying a specific promise. The first test is therefore continuity. Does the page carry on the conversation the advertisement started, in the same words, for the same buyer, with the same offer?

• Message mismatch. The advertisement promises one thing and the page leads with another, often the company’s general homepage message.
• Too many exits. Full site navigation, footer menus and links to unrelated services give paid visitors every reason to wander.
• A shared destination. Campaigns for different services all land on the same page, so none of them feels written for its audience.
• Borrowed proof. Examples and reassurance chosen for the brand in general rather than for this particular offer.
• Missing measurement. Conversions are not passed back to the advertising platform, so it optimises towards the wrong outcome or towards nothing at all.

Before blaming the page, check the traffic. A landing page cannot rescue targeting that sends the wrong people, and search terms or audiences that plainly do not match the offer call for a campaign fix, not a page fix. When the page itself is the problem, our guide to building a landing page for paid ads covers structure, message match and form design in detail.

Every finding in an audit is either a technical fault, where something is broken or measurably poor, or a commercial problem, where the site works as built but fails to persuade the right buyer. The distinction matters because the two are found differently, owned by different people and fixed in different ways.

Technical faults are the silent form notification, the page excluded from the index, the oversized image on a service page, the missing field label and the conversion that fires twice. They are usually unambiguous, often detectable by tools and resolved by a developer or specialist once identified. Commercial problems are the vague headline, the proof aimed at the wrong buyer, the service page that answers questions nobody asked and the call to action that asks for too much too soon. They are debatable, rarely visible to tools and resolved through strategy, copy and design.

Audits go wrong when one kind crowds out the other. A report dominated by technical findings feels rigorous and can leave the real reason for weak enquiries untouched. A report dominated by commercial opinion can recommend a new message while a broken form keeps losing the enquiries that already arrive. List both, label each finding by type, and support every commercial finding with evidence from sales conversations, behaviour data or buyer testing rather than taste.

Sometimes the two are woven into the structure of the site itself: a template that cannot carry the content buyers need, navigation that cannot be reorganised without rebuilding, a platform that resists every change. At that point, page-by-page fixes stop being economical, and a considered website rebuild becomes the more honest recommendation, planned from the audit’s findings rather than from a mood board.

Automated checks and AI-assisted review make an audit faster and broader, but they cannot decide what matters, so the working model is software gathering and sorting evidence while people weigh it. The phrase “AI website audit” is often used as if a tool could replace the diagnosis. It cannot, and treating an automated score as the whole answer is one of the costliest ways to misread a website.

Where AI-assisted review genuinely helps

AI-assisted review earns its place wherever the work is broad, repetitive or pattern-based:

• Coverage. Checking many pages for missing titles, duplicate headings, absent alternative text or broken links, which people do slowly and inconsistently.
• First-pass reading. Summarising what each page claims and which questions it leaves open, so a reviewer can spot gaps across a large site.
• Consistency. Comparing service descriptions, calls to action and contact details across pages to surface contradictions.
• Clustering feedback. Grouping enquiry messages, sales notes or survey responses into recurring themes that point to positioning or trust problems.
• Drafting alternatives. Producing candidate headlines or form questions for people to judge and test, never to publish unreviewed.

Branditify’s free brand audit tool works in that spirit. Paste a URL and it reviews what that one page shows, covering positioning signals, visual identity, website craft, SEO, AI readiness and conversion, assessed from checks anyone can verify, with what to fix first. It is a starting point for a single page, not a full-site audit or an analytics review.

Where automated analysis misleads

Automated analysis misleads when its output is treated as a conclusion rather than as evidence. The failure modes are predictable:

• False precision. A composite score implies the site is a measurable amount of “good” while hiding which faults actually cost enquiries.
• Equal weighting. A missing description on an old post sits beside a broken enquiry form, each counted as one warning.
• No commercial context. A tool does not know which service matters most, which buyer is most valuable or what the sales team hears on calls.
• Confident guesses. AI systems can describe a page’s audience, intent or problems fluently and wrongly, especially where content is thin or ambiguous.
• Generic advice. Recommendations drawn from general patterns can contradict what a specialist offer or a particular market actually needs.

The practical rule is to let tools widen the net and let people decide what the catch means. Every automated finding should pass through someone who asks whether it is true, whether it matters on this page and what fixing it would change for the buyer.

When that judgement needs experienced outside eyes, the Branditify brand audit service is carried out by people who weigh the evidence against your business, your buyers and your market rather than against a generic checklist.

Findings should be prioritised by weighing their likely commercial impact against the effort of fixing them, so the first changes are those most likely to affect enquiries for the least work. Severity labels from tools are not the same thing: a “critical” warning on a page nobody visits can matter less than a “minor” wording issue on the page every buyer sees.

For each finding, a person should make three judgements:

1. Impact. How close is the problem to the enquiry, how many important visitors meet it, and how directly does it block understanding, trust or action?
2. Effort. Does the fix need a copy change, a configuration change, design and development, new content or a platform decision?
3. Confidence. How strong is the evidence that this is the real cause? A confirmed broken form is high confidence; a hunch that visitors dislike the colours is not.

Then sort the findings into four groups:

• High impact, low effort: do these first. Headline rewrites, repaired form notifications, proof moved beside the ask, clearer calls to action and fixed tracking often sit here.
• High impact, high effort: plan these properly. Navigation restructures, new service pages, deeper content and template changes belong here.
• Low impact, low effort: batch them into routine maintenance so they do not distract the team.
• Low impact, high effort: question them. Many can be dropped without loss.

Two exceptions override the grid. Anything that stops enquiries reaching the business, or makes measurement untrustworthy, goes to the top whatever the effort, because it undermines every other judgement. And anything carrying legal, security or accessibility obligations should be handled on its own terms rather than traded against conversion gains.

An implementation roadmap turns prioritised findings into a sequence of changes, each with an owner, a measure and a way to tell whether it worked. Without that sequence, audits end as documents everyone agrees with and nobody acts on, or as a burst of simultaneous changes whose effects cannot be separated.

1. Make measurement trustworthy. Fix enquiry delivery and tracking, then record a baseline of enquiry volume and quality for the pages in scope.
2. Remove the blockers. Repair broken forms, notification routes, indexing exclusions and serious mobile faults on commercial pages.
3. Clarify the offer. Rewrite first screens around the buyer’s problem, tighten service-page messaging and align the calls to action.
4. Strengthen belief. Place relevant proof beside the ask, explain what happens after an enquiry and remove claims that cannot be supported.
5. Improve the path. Reorganise navigation around buyer tasks, restructure pages that bury decisive information and fix the performance causes that affect real visitors.
6. Build visibility. Strengthen the pages that matter for search and answer engines, add depth where it serves buyers and improve internal linking.
7. Review and repeat. Compare results with the baseline, record what changed and re-audit the affected pages before the next round.

Where you can, change one significant thing on a page at a time and let enough visitors pass through before judging it. Where several changes must ship together, record them together, so later analysis does not credit or blame the wrong one. Keep the audit as a living document: each round should retire findings and will often expose new ones that were hidden behind the old.

If the findings point to structural problems across the whole site rather than fixable faults, work through a website redesign checklist before commissioning anything, so that the rebuild answers the audit instead of repeating its problems.

If cost is the next question, the pricing page sets out current starting prices for each service, which helps match the scale of the work to the scale of the problem.

An audit is finished when the business knows what to fix, in what order and how it will tell whether each fix worked. A score, however attractive, answers none of those questions. People weighing honest evidence, layer by layer and page by page, answer all three.