Then a prospect mentioned, almost in passing, that they had asked Perplexity to recommend tools in the founder's category before booking a demo. The founder was not in the results. A competitor with weaker SEO, fewer backlinks and a smaller content library was cited twice.

That conversation prompted a question the founder had not thought to ask before: is SEO and AEO the same thing? And if not, which one did they actually need?

The answer is they are related but distinct. Understanding the difference determines where you focus your effort.

What SEO optimises for

Search engine optimisation is the practice of improving your website's visibility in search engines, primarily Google. When someone types a query into Google and hits enter, the engine returns a ranked list of links. SEO is about earning a position in that list, ideally near the top, for the queries that matter to your business.

The factors that drive SEO performance are well understood: the quality and quantity of your content, the technical health of your site, the authority of the websites that link to you, and how well your pages match the intent behind specific search queries. These factors have been refined over decades of practice and are supported by extensive data on what works.

When you commission an SEO audit, you are asking: why are we not ranking well in Google, and what needs to change?

What AEO optimises for

Answer engine optimisation is the practice of making your brand visible and citable within AI-powered tools: ChatGPT, Perplexity, Claude, Gemini, Grok and the AI Overviews that now appear at the top of Google results.

When someone asks an AI assistant a question, the assistant does not return a ranked list of links. It synthesises an answer, often naming specific products, companies or services as recommendations. AEO is about being in that answer, either as the recommended solution or as one of the credible options named.

The factors that drive AEO performance are different: how clearly your brand entity is defined across the web, how consistently you are described by third-party sources, whether your content directly answers the questions buyers are asking AI tools, and how much authoritative third-party coverage exists about your product.

When you commission an AEO audit, you are asking: why are AI tools not citing us, or citing us incorrectly, and what needs to change?

Where they overlap

The good news is that strong fundamentals help both. If you invest in genuinely useful content that directly answers your buyers' questions, you improve your chances in both Google and AI search. If you build a strong backlink profile from credible sources, you signal authority to both search engines and AI tools. If your site is technically clean and well-structured, both search engines and AI tools can understand it more accurately.

This means a business that has done serious SEO work has a meaningful head start on AEO. The content library, the site structure, the authority signals: all of these translate. You are not starting from zero.

The overlap is particularly strong in one area: content quality. AI tools heavily favour content that answers specific questions directly and completely. This is also what Google increasingly favours. If your content strategy is built around genuine helpfulness rather than keyword optimisation, it is likely performing reasonably well in both channels already.

Where they diverge

Despite the overlap, there are significant differences in what each discipline prioritises.

Third-party citations matter far more for AEO. Google cares about who links to you. AI tools care about who mentions you, reviews you and cites you, across a much wider range of sources including review platforms, directories, podcasts, industry publications and analyst reports. You can have an excellent backlink profile for SEO purposes while being almost invisible in AI search because you have thin third-party coverage in the sources AI tools draw from.

Entity clarity is an AEO-specific concern. AI tools work with named entities and need to be able to identify your brand unambiguously. SEO does not require this kind of entity definition. A business can rank well in Google without ever having established a clear, consistent entity signal across the web. In AI search, ambiguity about who you are and what you do directly reduces the likelihood of being cited.

Structured data has different implications. Schema markup helps with both SEO and AEO, but the types and implementation priorities differ. For AEO, Organisation, FAQ and SoftwareApplication schema are particularly important for helping AI tools understand what your business is and what it does.

AI tools surface inaccuracies that SEO cannot. If an AI tool has learned incorrect information about your product, it will confidently state it. This can include wrong pricing, outdated features, inaccurate comparisons to competitors, or simply not knowing your product exists. SEO has no equivalent problem. An AEO audit therefore includes something an SEO audit does not: testing what AI tools actually say about you, and identifying where those statements are wrong.

Which one do you need?

The honest answer is that most businesses need both, but the sequencing and emphasis depend on where the biggest gap is.

If you have weak SEO and weak AEO, fix SEO first. A strong content foundation, clean technical setup and authoritative backlink profile will improve both your Google visibility and your AI search presence simultaneously. Trying to build AEO on a weak SEO foundation is inefficient.

If you have strong SEO but weak AEO, an AEO audit is the right next step. You have already built the content and authority foundation. The gap is likely in entity clarity, third-party citation breadth or structured data, and an AEO audit will tell you exactly which.

If your SEO is fine but prospects are telling you they found competitors in AI search, this is a clear signal that AEO is the priority. The problem is not your Google rankings. It is your presence in the channel where those specific buyers were looking.

If you are in a category where buyers do heavy research before purchasing, both matter and should be treated as parallel priorities rather than sequential ones. The research phase now happens across Google, AI assistants and review platforms simultaneously, and presence in only one of those channels means missing buyers in the others.

What each audit looks like in practice

An SEO audit examines your website, its technical structure, your content, your backlinks and your on-page optimisation. The output is a prioritised list of changes to make to your site and content strategy.

An AEO audit examines your presence across the entire information ecosystem that AI tools draw from: your site, third-party review platforms, industry publications, directories, structured data and what AI tools actually say about you when tested directly. The output is a prioritised list of changes across all of these surfaces, not just your website.

The two audits are complementary. Many businesses run both and find that they surface different issues with minimal overlap.

A practical starting point

Before deciding which audit to prioritise, test your current position in both channels. For SEO, check your rankings for the terms most important to your business. For AEO, open ChatGPT, Perplexity and at least one other AI tool and ask each one the questions your buyers would ask when researching your category. Note whether you appear, how you are described and which competitors are named in your place.

The results of that test will usually make the priority obvious.

TinyAudits works with vetted SEO and AEO specialists who can audit either or both, depending on where your gaps are. If you are not sure which you need, describe what you are seeing at tinyaudits.com: whether that is poor Google rankings, absence from AI search results, inaccurate AI descriptions of your product, or all three. We will match you with the right expert and send you a free basic audit, usually within hours.

Get a free audit at tinyaudits.com

Their product had been built specifically for design agencies. It had 200 reviews on Capterra, an average rating of 4.7, and a blog with 40 articles targeting exactly this audience. Their SEO was solid. They ranked on page one for several related terms.

ChatGPT named five tools. Theirs was not among them.

They tried Perplexity. Same result. They tried Gemini. Still not there.

If this has happened to you, or if you have never checked and are now wondering, there are specific reasons why AI tools do not cite a business. This article covers each one, and what you can do about it.

Why AI tools recommend some businesses and not others

AI assistants do not browse the web and pick the most popular results the way a search engine does. They draw on a combination of what they learned during training and, in tools like Perplexity and ChatGPT with browsing, what they retrieve in real time from authoritative sources.

For a business to be recommended, it needs to be present, consistent and credible across the sources these tools draw from. A strong website and good SEO are necessary but not sufficient. The five reasons below explain most cases of AI invisibility.

Reason 1: You do not have enough authoritative third-party mentions

This is the most common reason. AI tools give significant weight to what credible third parties say about a business, not just what the business says about itself.

Your website can describe your product in perfect detail. If no one else is writing about it, citing it, reviewing it or recommending it in a context that AI tools can draw from, your self-description carries limited weight in AI-generated answers.

The sources that matter most: established review platforms like G2, Capterra, Trustpilot and Product Hunt, industry publications in your category, analyst reports, podcast mentions, directory listings, and press coverage from recognised outlets. The more of these that exist, and the more consistently they describe your product in positive terms, the more likely AI tools are to treat you as a credible recommendation.

What to do: Map where you currently have third-party mentions. Identify the most authoritative platforms in your category where you are absent. Prioritise getting listed and reviewed on those platforms before anything else. A cluster of consistent, positive reviews on two or three credible platforms does more for your AEO profile than dozens of mentions in obscure directories.

Reason 2: Your brand entity is not clearly defined

AI tools work with entities: specific, named things in the world with a consistent identity. For your business to be confidently cited, AI tools need to be able to identify your brand unambiguously and understand what it does.

Problems arise when your brand name is too generic to be distinctive, when your company is described differently across different platforms, when your product and company names are used interchangeably in ways that create confusion, or when you operate across multiple categories without a clear primary one.

A tool called "Flow" that describes itself as a "productivity platform" on its website, a "project management tool" on Capterra and a "team collaboration solution" on LinkedIn is harder for an AI to categorise and cite with confidence than a tool called "FlowAgency" that consistently describes itself as "project management software for creative agencies" across every platform it appears on.

What to do: Audit how your brand is described across every significant platform where you have a presence. Write a single, clear, specific one-sentence description of what your product is and who it is for. Then make sure that description, or a close variant, is used consistently everywhere: your website homepage, your About page, your G2 profile, your LinkedIn company page, your Crunchbase listing, your Twitter/X bio and any directory profiles you maintain.

Reason 3: Your content answers questions badly

AI tools retrieve and cite content that directly and clearly answers the questions people are asking. If your content is structured primarily for SEO rankings, it may perform well in traditional search but be bypassed in AI retrieval.

The difference is subtle but important. SEO content is often optimised around keywords and designed to rank for a search term. Content that performs well in AI retrieval is optimised around questions and designed to answer them directly, specifically and completely.

A blog post titled "Project Management for Design Agencies" that spends three paragraphs on background context before getting to any useful information is less likely to be cited by an AI than a post that opens with a direct answer to a specific question and sustains that specificity throughout.

What to do: Review your highest-traffic content and ask whether each piece directly and completely answers a specific question your target buyer would ask an AI assistant. If the answer is buried, move it to the top. Add a clear FAQ section at the bottom of key pages that covers the specific questions your buyers ask. Write at least some content in an explicit Q&A format, because this structure maps directly to how AI tools retrieve and present information.

Reason 4: You are missing structured data

Schema markup is code added to your website that helps search engines and AI tools understand what your pages contain and what claims they make. Without it, AI tools have to infer your product category, your reviews, your pricing and your key features from the raw text of your pages, which introduces ambiguity.

The schema types most relevant for AEO are: Organisation schema on your homepage, Product schema on your product pages, Review and AggregateRating schema if you have customer reviews on your site, FAQ schema on any page with questions and answers, and SoftwareApplication schema if you are a SaaS product.

Many businesses have no schema markup at all. Others have it implemented incorrectly. In both cases, AI tools are working harder to understand your product than they would with clean, accurate structured data in place.

What to do: Use Google's Rich Results Test to check what structured data your site currently has. If you have none or it is sparse, implementing Organisation and FAQ schema is the highest-impact starting point for most businesses. SoftwareApplication schema is worth adding if you are a software product.

Reason 5: Your brand name is too generic or ambiguous

If your product is called something like "Bridge", "Loop", "Canvas" or "Core", AI tools face an immediate disambiguation problem. These words mean many things and refer to many products. When an AI retrieves information about your brand, it may conflate you with other businesses or products that share the same name, leading to inaccurate or absent recommendations.

This does not mean you need to rebrand. But it does mean you need to work harder on brand entity clarity. The more you can train the information ecosystem to associate your specific brand name with your specific product category, the less ambiguity there is for AI tools to navigate.

What to do: Consistently pair your brand name with your category descriptor in all external-facing content. Not just "Bridge" but "Bridge, the client portal software for agencies." Not just "Loop" but "Loop, the feedback tool for creative teams." Over time, this association becomes part of how your brand is understood by AI tools.

How to know which of these is your primary problem

Most businesses with weak AEO profiles have more than one of these issues. But they are rarely equal. For most businesses, one or two of these factors account for the majority of the gap.

The fastest way to diagnose the primary cause is to test your AI presence directly, as described in the previous article in this series, and then map the results against these five factors. If you are completely absent from AI results despite strong SEO, the issue is almost always third-party mentions or entity clarity. If you appear inconsistently or inaccurately, the issue is usually entity clarity or content structure. If you appear but are described incorrectly, structured data and citation consistency are the most likely culprits.

TinyAudits matches businesses with vetted AEO specialists who diagnose exactly which of these factors is holding you back and tell you what to fix first. Describe what you are seeing at tinyaudits.com, whether that is complete absence from AI results, competitors appearing where you should, or inaccurate descriptions of your product, and we will match you with an expert who sends you a free basic audit, usually within hours.

Get a free AEO audit at tinyaudits.com

Then they opened ChatGPT and typed: "What are the best tools for managing client onboarding for agencies?" Their product had been built precisely for that use case. They had a review on G2, a case study on their site, a decent backlink profile. They expected to see their name.

Instead, they got three competitors they had never heard of, presented confidently as the top recommendations, with no mention of their product at all.

This is the problem AEO is designed to solve. And it is the problem an AEO audit is designed to diagnose.

What AEO is

AEO stands for Answer Engine Optimisation. It is the practice of making your brand, product or content visible and citable within AI-powered search tools: ChatGPT, Perplexity, Claude, Gemini, Grok, and the AI Overviews that now appear at the top of Google results.

Traditional SEO is about ranking in a list of links. AEO is about being the answer, or being named as a recommendation, when someone asks an AI assistant a question related to your category.

The two disciplines overlap significantly, good content, strong third-party mentions and clear site structure help with both, but they diverge in important ways. An AI assistant does not rank pages. It synthesises information from what it has learned during training and, in some cases, from real-time retrieval. The criteria for appearing in an AI answer are meaningfully different from the criteria for appearing in a Google search result.

AEO is not a trend. It is a structural shift in how a growing share of buyers discover products, services and information. If your category has any kind of research phase before purchase, some of that research is now happening in AI assistants. And if you are not showing up there, your competitors who are will have a significant advantage.

What an AEO audit examines

An AEO audit is a structured review of how visible and citable your brand is across AI search tools. It looks at why you are or are not appearing in AI-generated answers, and what would need to change for you to show up consistently and accurately.

A thorough AEO audit covers five areas.

1. Brand entity clarity

AI tools work with entities: named things in the world that have a clear, consistent identity. Your company, your product, your founders, your category. The clearer and more consistent your entity definition across the web, the more confidently an AI can refer to you.

The audit examines whether your brand is clearly defined across the sources AI tools draw from: your own website, Wikipedia if relevant, industry directories, press mentions, review platforms and social profiles. Inconsistencies in how your brand name, category and value proposition are described across these sources create ambiguity that makes AI tools less likely to cite you.

2. Content that directly answers questions

AI tools are trained on and retrieve content that answers questions well. If your content is built primarily for SEO, formatted for rankings, keyword-dense and structured around search terms rather than genuine questions, it may perform adequately in traditional search but poorly in AI retrieval.

The audit examines whether your content answers the specific questions your target buyers are asking AI tools. This includes your FAQ pages, your blog content, your product documentation and your comparison pages. Content that gives a clear, direct answer to a specific question is significantly more likely to be cited by an AI assistant than content that hedges, buries the answer or optimises primarily for keyword density.

3. Third-party mentions and citations

AI tools place significant weight on what authoritative third parties say about your brand. Reviews on recognised platforms, mentions in industry publications, analyst coverage, podcast appearances, directory listings and press coverage all contribute to how an AI model understands and evaluates your brand.

The audit maps your third-party citation profile: where you are mentioned, how you are described, whether those descriptions are consistent and positive, and where the significant gaps are. A brand with strong SEO but thin third-party mentions is often invisible in AI search despite ranking well in traditional results.

4. Structured data and technical signals

Schema markup, particularly for organisation, product, FAQ and review schema, helps AI tools understand what your pages are about and what claims they make. The audit checks whether your site is using structured data appropriately and whether technical elements like your knowledge panel, your Google Business Profile and your social profiles are complete and consistent.

5. Accuracy of AI-generated information

Perhaps the most important element: what do AI tools actually say about your brand when asked directly? The audit tests this systematically across multiple tools and query types, checking for inaccuracies, outdated information, missing products or features, incorrect pricing, and misattribution of competitors' characteristics.

Correcting inaccurate AI-generated information about your brand is one of the most urgent and often most overlooked aspects of AEO. An AI tool that confidently tells prospects the wrong thing about your product is actively damaging your sales process, and you may have no idea it is happening.

Why AEO matters more for some businesses than others

AEO is most urgent for businesses where the buyer journey involves a research phase. If your prospects are asking AI assistants questions like "what is the best way to...", "which tool should I use for...", or "who are the leading providers of...", your AEO profile directly affects whether you are in that consideration set.

It is particularly urgent for:

Businesses in a crowded category where brand differentiation matters. If AI tools are recommending your competitors by name and not mentioning you, you are effectively invisible to a growing share of research-mode buyers.

Businesses targeting technically sophisticated buyers. Early adopters and technical decision-makers are disproportionately heavy users of AI assistants for research. If your buyers are developers, product managers, founders or marketing leads, they are very likely using AI tools to research purchases.

Businesses that depend on being found rather than being sought. If you rely on people discovering you through research rather than already knowing your name, AI search visibility is becoming as important as Google visibility.

How an AEO audit differs from an SEO audit

An SEO audit focuses on your website: its technical structure, its content quality, its backlink profile and its on-page optimisation. The question it answers is: why are we not ranking well in Google?

An AEO audit focuses on your presence across the entire information ecosystem that AI tools draw from: your site, third-party sources, review platforms, industry publications and structured data. The question it answers is: why are AI tools not citing us, or citing us incorrectly?

You can have excellent SEO and poor AEO. You can also have decent AEO without having invested heavily in SEO. The two reinforce each other but neither guarantees the other.

If you already have a solid SEO foundation, an AEO audit typically builds on that work and identifies what additional signals are needed to translate that organic authority into AI search visibility. If you do not yet have strong SEO, addressing your content and citation profile will typically improve both simultaneously.

What to do if you suspect an AEO problem

The first step is to test it directly. Open three or four AI tools, ChatGPT, Perplexity, Claude, Gemini, and ask each one the questions your target buyers would ask when researching your category. Ask them to name the leading options. Ask them to compare you to a competitor. Ask them to describe what your company does.

Note what they say. Note what they get wrong. Note whether you appear at all.

If you find significant gaps or inaccuracies, an AEO audit will tell you exactly why you are not showing up and what to do about it. The fixes are usually a combination of content improvements, citation building and structured data work, but the priority order depends heavily on your specific situation and category.

TinyAudits matches founders and businesses with vetted AEO experts who audit your AI search presence and tell you exactly what is holding you back. Describe what you are seeing, whether that is complete absence from AI results, inaccurate information being surfaced about your brand, or competitors appearing where you should, and we will match you with a specialist who sends you a free basic audit, usually within hours.

Get a free AEO audit at tinyaudits.com

Six months later, nothing had changed. Deals were still stalling at the same point. The website still felt generic. New hires still could not explain what the company did in a single sentence. The rebrand had fixed how things looked. It had not fixed what was actually broken.

What they needed before the rebrand was a brand audit. What they got instead was an expensive cosmetic exercise.

What a brand audit actually is

A brand audit is a structured review of how your brand is performing across every dimension: what you stand for, how you communicate it, how consistently it shows up, and whether any of it is resonating with the people you are trying to reach.

It is a diagnostic, not a prescription. It tells you what is wrong and why, before anyone starts designing anything. A rebrand or refresh comes after a brand audit, not instead of one.

The output is not a new logo or a revised colour palette. It is a clear picture of the gap between the brand you think you have and the brand your market actually experiences.

What a brand audit covers

Brand positioning and messaging

This is the foundation of everything else. The audit examines whether your positioning is clear, differentiated and credible. Not just whether you have a positioning statement written on a slide somewhere, but whether it is actually reflected in how you talk about your business, and whether it maps to how your target customers think about the problem you solve.

Common findings here: messaging that is too broad to be meaningful, claims that every competitor also makes, a value proposition that describes features rather than outcomes, and language that resonates internally but confuses externally.

The auditor typically reviews your website, your sales materials, your email templates and your social presence against each other to see whether they are all saying the same thing in a consistent way, or pulling in different directions.

Visual identity consistency

The audit examines whether your visual identity is being applied consistently across every touchpoint. This covers your logo usage, typography, colour application, photography style and graphic elements.

Inconsistency here is more common than most founders realise. The website uses one shade of blue. The pitch deck uses a different one. The social graphics use a third font that does not appear anywhere else. Each individual touchpoint looks reasonable in isolation. Together they create an impression of a company that has not quite figured out who it is.

The auditor checks every significant customer-facing surface and documents where the identity breaks down.

Brand perception vs intention

What do you want people to think when they encounter your brand? And what do they actually think? This is the gap the audit is designed to surface.

This element typically involves some form of research: customer interviews, prospect surveys or analysis of how the brand is described in reviews, sales calls or support conversations. The gap between intention and perception is often the most actionable finding in the audit. It tells you not just what to change, but why the current version is not working.

Competitive positioning

How does your brand look relative to the alternatives your customers are comparing you against? The audit maps your positioning against your key competitors to identify where you are differentiated and where you are blending in.

A common finding: companies in the same category converge on the same visual language, the same messaging frameworks and the same claims. If your brand could plausibly belong to any of your three main competitors, it is doing nothing to help you win.

Internal brand alignment

Does your team understand and believe in the brand? Can your salespeople articulate your positioning clearly? Does your customer success team communicate in a way that is consistent with the tone your marketing sets?

A brand only performs externally if it is understood internally. The audit often reveals that different functions have completely different understandings of what the company stands for, which produces an inconsistent experience for customers across every stage of their journey.

The clearest signs you need a brand audit

You are losing deals you expected to win and the feedback is vague. "We went with someone who felt like a better fit." That is often a brand problem: you are not communicating your specific value clearly enough for buyers to make a confident decision in your favour.

Your website traffic is fine but conversions are low. People are landing on your site, reading a bit and leaving without enquiring. This often indicates a messaging problem: visitors cannot quickly understand who you help, how you help them and why you are the right choice.

You are growing into new markets or audiences and your current brand was built for a different context. What worked when you were selling to five-person startups may not work when you are selling to 500-person enterprise teams.

You are about to hire significantly and need the brand to do more work in attracting the right people. Company brand has a direct effect on talent acquisition, and a brand that is unclear or inconsistent makes hiring harder.

You are preparing to raise a round and your materials feel inconsistent or hard to summarise. Investor materials are brand materials. If your deck, your website and your one-pager are telling slightly different stories about what the company is, that creates friction in conversations that need to move quickly.

What a brand audit is not

It is not a rebrand. The audit tells you what is broken. A rebrand addresses it. Doing a rebrand without an audit is like renovating a house without checking the foundations first.

It is not a brand guidelines refresh. Updating your guidelines document without first understanding whether your brand strategy is working is surface-level work. The guidelines are only as good as the strategy they document.

It is not a logo redesign. A new logo can refresh how a brand looks. It does not fix a positioning problem, a messaging problem or an alignment problem. In most cases, the logo is not what needs to change.

What a good brand audit delivers

A clear articulation of what is actually wrong, with evidence. Not "your brand feels generic" but "your homepage headline makes the same claim as your three main competitors, in almost identical language, and your key differentiator does not appear until the fifth scroll."

A prioritised set of recommendations. Some brand problems need to be fixed before anything else can work. Others are cosmetic and can wait. A good audit tells you which is which.

A framework for what a stronger brand would look like. Not the finished brand, but a clear brief for what the next version needs to achieve, which can guide a refresh, a rebrand or simply a messaging update depending on the severity of the findings.

How to know if you need a brand audit or something else

If your brand looks inconsistent but your positioning is clear, you probably need a visual identity review rather than a full brand audit.

If your positioning feels right internally but you are not winning the deals you expected, a brand audit that includes perception research is likely to be more useful than a visual refresh.

If you are planning a significant rebrand, a brand audit should come first. Always. The brief for any rebrand should be built on audit findings, not on a founder's instinct that something needs to change.

If you are not sure where the problem is, that is precisely when an audit is most useful. It exists to tell you what you do not already know.

TinyAudits matches founders and growing businesses with vetted brand audit experts who can tell you exactly what is working, what is not and what needs to change first. Describe what you are experiencing, whether that is inconsistent feedback from the market, a brand that has outgrown its original context or a rebrand you want to get right this time, and we will send you a free basic brand audit, usually within hours.

Get a free brand audit at tinyaudits.com

This is the most common confusion founders face when shopping for an SEO audit. The price range in this market is genuinely enormous, and the reason is not that some agencies are ripping you off. It is that "SEO audit" is used to describe wildly different things, from a 20-minute automated scan to a six-week expert engagement involving hundreds of hours of analysis.

This guide breaks down what drives the cost of an SEO audit, what you should expect at different price points, and how to know what level of audit your situation actually calls for.

Why the price range is so wide

SEO audits vary in cost for three main reasons: scope, depth and who is doing the work.

Scope refers to what gets examined. A technical SEO audit looks at site structure, crawlability, indexation and page speed. An on-page audit reviews title tags, headings, content and internal linking. A content audit analyses every page for relevance, quality and keyword alignment. A backlink audit looks at your link profile for toxic links, gaps and opportunities. A full-site SEO audit covers all of these. The more ground the audit covers, the longer it takes and the more it costs.

Depth refers to how thoroughly each area is examined. An automated tool can scan a 500-page site for technical issues in minutes. A human expert reviewing the same site manually will take days and will find things the tool cannot: strategic errors in site architecture, missed keyword opportunities, content that is technically fine but fundamentally misaligned with search intent.

Who is doing the work matters because rates vary significantly. A freelancer in Eastern Europe might charge $50 an hour. A senior strategist at a specialist agency in London or New York might charge $300 an hour. The same number of hours produces a very different invoice.

What you get at different price points

Free or under $200

Automated reports generated by tools like Ahrefs, SEMrush or Screaming Frog. You can run these yourself for the cost of a tool subscription, or some agencies offer them as a lead-generation exercise.

What they cover well: crawl errors, broken links, missing meta tags, duplicate content flags, basic page speed metrics.

What they miss: anything that requires judgment. They will tell you a page is missing an H1. They will not tell you whether your entire site architecture is fighting against you, or whether your content is targeting keywords that will never convert your audience.

Useful as a starting point. Not useful as a standalone decision-making tool.

$300 to $800

A focused audit in one area, usually technical SEO or on-page, from a freelancer or small agency. This typically involves a human reviewing the automated output, filtering out false positives and adding context to the findings.

Good for: early-stage companies that need to know whether their technical foundations are sound before investing in content. Also good as a health check for sites that have not been audited in a while.

What to expect: a prioritised report of 20 to 50 issues, probably a video walkthrough, and a set of recommendations you can hand to a developer.

$1,000 to $3,000

A more comprehensive audit covering technical SEO, on-page optimisation and content strategy. This is where you start getting genuine strategic input rather than a checklist of issues.

At this level, the auditor is not just telling you what is broken. They are telling you why it matters for your specific situation, which issues to fix first based on potential impact, and what content or structural changes would move the needle most for your goals.

Good for: growing companies with an existing content library, businesses that have seen organic traffic drop and want to understand why, and anyone preparing for a site migration or redesign.

$3,000 to $8,000

A full-site SEO audit from an experienced agency or senior consultant. This covers every dimension: technical, on-page, content, backlinks, competitor analysis, keyword gap analysis and search intent mapping.

At this level, you are paying for significant human hours and real strategic thinking. The output is typically a detailed report running to 50 or more pages, supported by data, with a prioritised roadmap you can execute over the following three to six months.

Good for: established businesses with meaningful organic traffic to protect, companies in competitive categories where small SEO advantages compound into significant revenue differences, and any business that depends on organic search as a primary acquisition channel.

Above $8,000

Enterprise-scale engagements, usually involving teams rather than individuals. These are appropriate for large e-commerce sites with thousands of product pages, multinational businesses with multiple domains, or companies undergoing complex technical migrations.

Unless you are in that category, you probably do not need to spend this much.

The factors that most affect your specific quote

Site size. A 20-page marketing site takes a fraction of the time to audit compared to a 10,000-page e-commerce store. Most agencies price by page count or time estimate, so the size of your site is the single biggest driver of cost.

Current condition. A site with years of accumulated technical debt, legacy redirects and inconsistent on-page optimisation takes longer to audit than a clean, recently built site. If your site has a complicated history, expect to pay more.

Competitive category. In highly competitive categories, keyword research and competitor analysis become much more involved. Understanding whether you can rank for a term, and what it would take to do so, requires more time and judgment in a contested market.

Turnaround time. If you need the audit in five days rather than three weeks, expect a premium. Expedited work means the auditor has to rearrange other commitments.

What you plan to do with it. If you want the audit to also include an implementation roadmap and a briefing call to walk your team through the findings, that adds time and cost. If you just want the report, it is cheaper.

What to ask before you commission an audit

The price is not the most important question. These are.

What does the deliverable look like? Ask to see a sample report. A good SEO audit report is specific and actionable. If the sample is full of generic recommendations that could apply to any site, it will not be useful for yours.

Who is actually doing the work? Some agencies quote with senior strategists but assign the work to junior analysts. Ask who will personally conduct the audit.

How do you prioritise findings? A useful audit ranks issues by potential impact, not by how easy they are to find. Ask how they decide what goes at the top of the list.

What happens after delivery? A good auditor will answer questions about their findings. Some include a follow-up call. Some offer implementation support. Knowing what post-delivery support looks like is worth asking upfront.

How to know what you actually need

If your site has never been audited, a technical and on-page audit in the $300 to $800 range is a sensible starting point. It tells you whether your foundations are solid before you invest in content or links.

If your organic traffic has dropped and you cannot explain why, you probably need a more comprehensive audit in the $1,000 to $3,000 range. Traffic drops have multiple possible causes and you need someone experienced enough to diagnose the right one.

If organic search is a significant revenue channel and you have not audited in more than a year, a full-site audit is worth the investment. The issues that compound unaddressed over 12 months tend to cost more to fix than the audit would have.

If you are not sure what you need, that is completely normal. SEO audits are not a commodity and matching the right level of audit to your situation requires understanding your business, your goals and your current organic position.

TinyAudits can help with that. Describe what you are seeing, whether that is declining traffic, poor rankings, a site migration coming up or just a general sense that your SEO is not working, and we will match you with a vetted SEO expert who will send you a free basic audit. You will get a clear view of your biggest issues before spending anything on a deeper engagement.

Get a free SEO audit at tinyaudits.com

The problem probably is not your copy. It is not your pricing. It is something upstream, a friction point baked into the product experience that you have stopped seeing because you use the product every day. A UX audit is how you find it.

This guide covers what a thorough UX audit examines, what each area looks for, and how to know whether you are looking at a real finding or a distraction. It is written for founders and product leads who want to understand what they are buying before they commission one.

What a UX audit actually is

A UX audit is a structured expert review of your product's usability: how easy it is for users to understand, navigate and complete the tasks they came to do. Unlike analytics, which tells you where users drop off, a UX audit tells you why. Unlike user interviews, which tell you what users say, a UX audit tells you what is actually happening on screen.

A good audit ends with a prioritised list of specific, actionable issues. Not "improve onboarding". That is a goal, not a finding. A real finding looks like this: "The progress indicator on step 3 of onboarding disappears on mobile viewports below 375px, which means users on iPhone SE have no sense of how far they are through setup and abandon before completing it."

With that specificity, you can fix the problem in an afternoon.

The 7 areas a UX audit covers

1. First impressions and initial orientation

The first 30 seconds a new user spends in your product determines whether they stay long enough to find value. The audit examines what a brand-new user sees on login, whether the interface communicates what to do next, and whether the value promised on the marketing site is reflected immediately in the product itself.

Common findings here: a dashboard full of empty states with no guidance, a "get started" button that leads to a 14-step setup wizard, or a home screen designed for power users that overwhelms someone who signed up 90 seconds ago.

What the auditor checks: time-to-first-action, clarity of the primary call to action, consistency between marketing promises and product reality.

2. Onboarding and activation flows

This is where most SaaS products leak the most users, and it is the area most founders underestimate. Activation is the moment a user first experiences the core value of the product. It is specific and definable. The UX audit maps every step between signup and activation and identifies where the cognitive load spikes, where instructions are unclear, and where users are asked to do too much before they have seen any benefit.

What the auditor checks: number of steps to activation, presence and clarity of progress indicators, whether setup tasks are explained or just listed, whether the user can skip optional configuration and return to it later.

3. Navigation and information architecture

Can users find what they need without thinking about it? A UX audit tests whether the product's navigation structure matches the mental model of the people using it, not the mental model of the team that built it.

A common failure mode: navigation built around internal team structure rather than user tasks. The engineering team has a "Pipelines" section and a "Connectors" section because that is how the codebase is organised. The user just wants to send data from Stripe to their CRM and cannot figure out where to start.

What the auditor checks: labelling of navigation items, depth of menu structures, discoverability of key features, consistency of navigation patterns across the product.

4. Task flows and friction

For every core task in your product, creating a project, inviting a team member, generating a report, connecting an integration, the auditor walks through the complete flow and maps every point of friction. This includes unnecessary steps, unclear error states, confirmation dialogs that appear at the wrong moment, and form fields that ask for information the product does not need yet.

What the auditor checks: number of clicks to complete key tasks, clarity of error messages, recovery paths when something goes wrong, whether the product remembers context between sessions.

5. Visual hierarchy and readability

A well-designed interface guides the eye. A poorly designed one makes users work to figure out what matters. The audit examines whether typography, spacing, contrast and layout are directing attention toward the actions that matter, or distributing it evenly across elements of equal visual weight.

This is not about aesthetics. It is about whether a user who has never seen the product before can scan a screen and immediately understand what it is asking them to do.

What the auditor checks: contrast ratios, font size and line length for body copy, use of colour to signal meaning, visual weight of primary versus secondary actions.

6. Mobile and responsive behaviour

If any significant portion of your users access the product on mobile, the audit examines how the interface behaves on smaller screens. Many SaaS products are built desktop-first and then squeezed into mobile viewports without rethinking the interaction patterns. Hover states become untappable. Dropdowns become unusable. Tables overflow the screen.

What the auditor checks: tap target sizes, behaviour of complex components on small viewports, whether mobile users have access to the same features as desktop users or are missing key functionality.

7. Accessibility and inclusive design

Accessibility is increasingly a legal requirement, and it is also just good product design. An accessible product works better for everyone. The audit checks conformance with WCAG 2.1 AA standards, not every criterion, but the ones most likely to affect real users: keyboard navigation, screen reader compatibility, colour contrast, focus states and form labelling.

What the auditor checks: heading structure, alt text on meaningful images, focus management in modals and drawers, form field label associations, colour contrast ratios on text and interactive elements.

What you receive at the end

A good UX audit delivers three things.

First, a prioritised issue list. Every finding is ranked by impact, highest first, with severity clearly marked as critical, major or minor. You should be able to hand this directly to a developer and say "start at the top."

Second, evidence for each finding. A screenshot, a screen recording, or both, showing exactly what the problem looks like and where it occurs. No vague descriptions. You should be able to see the issue without having to go and find it yourself.

Third, specific recommendations. Not "improve the onboarding" but "replace the 14-step setup wizard with a 3-step guided flow that defers account configuration until after the user has completed their first core task." Actionable, specific, implementable.

Some audits also include a short video walkthrough where the auditor narrates what they found and why it matters. This is particularly useful when the issues involve interaction patterns that are hard to communicate in writing.

How to know if you need a UX audit right now

You probably do if any of these are true.

Your trial-to-paid conversion is below what you would expect for your category. Your free-to-paid conversion is flat despite traffic growth. Support receives the same questions repeatedly, "how do I..." questions that indicate users cannot find something. Your NPS is low but the qualitative feedback is vague. You are planning a redesign and want to know what is actually broken before you start.

You probably do not need a full UX audit if your product is pre-launch and has fewer than 100 active users. At that stage, user interviews will tell you more for less money. A UX audit is most valuable once you have enough users to see patterns in your data and enough product to have accumulated real design debt.

Getting a UX audit that is worth acting on

The difference between a useful UX audit and a useless one is specificity. A useful audit tells you exactly what is broken, exactly where it is, and exactly what to do about it. A useless audit gives you a list of UX principles and tells you your product does not follow them.

Before commissioning an audit, ask the provider what their deliverable looks like. Ask to see a sample or a case study. Ask whether their findings are prioritised by impact or just listed. Ask whether they audit in your product directly or from screenshots.

If you are not sure which provider to use, or not sure whether a UX audit is even the right starting point for the problem you are trying to solve, TinyAudits can help. Describe what you are seeing, whether that is users dropping off, low activation, high churn or confusing feedback, and we will match you with a vetted UX expert who sends you a free basic audit, usually within hours. No briefing document required. Just tell us what is wrong.

Get a free UX audit at tinyaudits.com