Guides
Clear, practical answers on conversion, SEO, and AI visibility — written to help you turn more of your traffic into revenue.
AI & answer-engine visibility
Get cited by ChatGPT, Perplexity, and Google's AI Overviews.
How to get your website cited by ChatGPT and AI search
To get your website cited by ChatGPT, Perplexity, or Google AI Overviews, lead each page with a self-contained 2–4 sentence answer to the question it targets; use question-style H2 headings; add FAQPage and Organization schema; and keep all key content in server-rendered HTML so crawlers can read it. These practices — called Answer Engine Optimization (AEO) or Generative Engine Optimization (GEO) — raise the likelihood that an AI engine quotes your page rather than a competitor's. No tool or tactic guarantees a citation; they raise readiness and probability.
Read guide →Best ChatGPT visibility checker: how to compare the tools
A ChatGPT visibility checker answers one of two questions: does ChatGPT actually name or cite my brand when someone asks about my category (mention tracking), or is my page built so ChatGPT can read, identify, and quote it (page readiness)? Mention-tracking tools run prompts against live models and record whether your brand appears. Page-readiness graders inspect your URL for the on-page signals — extractable HTML, entity clarity, question-style headings — that make citation likely. Neither can guarantee a placement; choose by which question you actually need answered.
Read guide →Does ChatGPT recommend my brand? How to check and what to fix
To check whether ChatGPT recommends your brand, open ChatGPT with web search enabled and ask the questions your buyers actually type — not your brand name, but the problem they're solving. If ChatGPT names a competitor instead of you, the fix is almost always on-page: your site isn't built so ChatGPT can read, trust, and quote it. A direct extractable answer on each key page, question-style headings, FAQPage schema, and server-rendered content are the four signals that move the needle.
Read guide →Best Perplexity citation checker: how to see if Perplexity cites your site
A Perplexity citation checker tells you whether Perplexity names your site as a source in its answers, and why it does or does not. The best one goes past a yes/no: it inspects the page-level signals Perplexity relies on and gives you specific fixes, not just a score.
Read guide →What is answer engine optimization (AEO)?
Answer Engine Optimization (AEO) is the practice of writing and structuring web pages so AI answer engines, like ChatGPT, Perplexity, and Google AI Overviews, can find, understand, and cite them when they answer a question. In practice that means leading each page with a direct, quotable answer, using question-style headings, adding structured data such as FAQPage and Organization, keeping your key content in server-rendered HTML, and stating specific facts an engine can safely repeat. AEO does not guarantee you get cited. It improves the readiness and likelihood that you will.
Read guide →AI SEO vs traditional SEO vs CRO: what's the difference?
Traditional SEO, AI SEO, and CRO solve three different problems on the same page. Traditional SEO earns rankings and clicks from search engines. AI SEO, also called AEO or GEO, raises the likelihood that AI answer engines like ChatGPT and Perplexity cite your page in their answers. CRO, conversion rate optimization, turns the visitors you already have into leads or sales. You need all three: SEO and AI SEO bring qualified people to the page, and CRO makes sure those people convert. They share fundamentals like crawlable HTML and clear structure, then diverge on goals.
Read guide →Why do generic website graders miss AI search readiness?
Most generic website graders miss AI search readiness because they were built for classic SEO and page speed, not for how AI answer engines read and cite pages. They check title tags, meta descriptions, broken links, and Core Web Vitals, but they rarely check whether your main answer is extractable from the HTML, whether your entity is clearly declared in structured data, whether your headings match how people ask questions, or whether your page states specific, citable facts. Those are the page-level signals that determine AI search readiness, and a grader that skips them gives you a clean score while leaving you invisible to answer engines.
Read guide →How to structure service pages for AI Overviews
To structure a service page so AI Overviews and assistants can cite it, lead with a direct one-to-three sentence answer to what you do and who it's for, use question-style H2 headings (like 'How much does it cost?') with a short answer right under each, keep exactly one H1, and put the content in server-rendered HTML so engines can read it. Add Service or LocalBusiness structured data plus an FAQPage block, and include specific facts like pricing ranges, service area, and turnaround. This is page-level readiness, not a guarantee of inclusion, but it removes the reasons an answer engine would skip your page.
Read guide →The anatomy of an AI-search-ready landing page
An AI-search-ready landing page has seven parts working together: a direct, quotable answer at the top; one clear H1; question-style headings with short answers underneath; entity-defining structured data (Organization, Product, or LocalBusiness); type-matched and FAQ schema; content kept in server-rendered HTML so engines can read it; and specific, checkable facts an assistant can safely quote. These signals make ChatGPT, Perplexity, Google AI Overviews, and Gemini more likely to read, trust, and cite the page. It's page-level readiness, never a guarantee of visibility, but it removes the reasons you'd be left out of an answer.
Read guide →Geo grader: how to audit your website for AI search (a GEO audit)
A geo grader is a tool or repeatable scorecard that audits how ready your website is to be found, understood, and cited by AI search engines like ChatGPT, Perplexity, Google AI Overviews, and Gemini. To run a GEO audit (generative engine optimization audit), inspect five things per page: whether your key content is in crawlable server-rendered HTML, whether each page leads with an extractable answer, whether you have valid structured data, whether your facts and entity are consistent, and whether AI crawlers are allowed to access you. Score each dimension, fix the lowest-scoring and highest-traffic pages first, then re-crawl to confirm the changes are visible to machines.
Read guide →How to get your site cited by Perplexity
Does Perplexity cite my website? You can find out by asking Perplexity questions your pages should answer and checking the numbered Sources panel for your domain. Perplexity differs from ChatGPT in that it retrieves and reads live web pages for almost every query, then cites the specific URLs it quoted, so whether you're cited depends on whether your page is crawlable, retrievable for that query, and easy to extract a clean, specific answer from. No site is guaranteed a citation, but crawlable, answer-first, specific pages are far more likely to be picked.
Read guide →What is generative engine optimization (GEO)?
Generative engine optimization (GEO) is the practice of structuring and writing your content so generative AI engines, like ChatGPT, Google AI Overviews, Perplexity, Gemini, and Microsoft Copilot, are likely to use and cite it when they compose an answer. Where traditional SEO competes for a ranked link and a click, GEO competes for a place inside the generated answer itself, attributed to your page. You earn it with a direct extractable answer near the top, specific verifiable facts, question-style structure, schema that declares your entity, and content in server-rendered HTML. GEO raises the likelihood of being cited; no method can guarantee it.
Read guide →How to Rank in Google AI Overviews (2026)
To rank in a Google AI Overview, your page must first be indexed and eligible to show with a snippet in normal Search — Google states there are no special files, schema, or markup required to appear. From there, the levers that matter are strong organic rankings for the query and its fan-out subtopics, a direct extractable answer in the first 2-3 sentences of each section, and clear topical depth. You can't directly "submit" to an AI Overview, so the practical goal is to be the most quotable top-ranking passage Gemini can pull, then verify visibility by checking your appearance in live results and Search Console.
Read guide →SEO vs AEO vs GEO: what changed in 2026
SEO vs AEO comes down to the unit of success: SEO (search engine optimization) earns a ranked link and a click; AEO (answer engine optimization) earns the direct answer in snippets, voice results, and AI answer boxes; and GEO (generative engine optimization) earns a cited mention inside an AI-written answer from tools like ChatGPT, Perplexity, and Google AI Overviews. They are not rival strategies — they share one foundation (crawlable HTML, clear structure, credible facts) and diverge only at the goal. In 2026 the practical shift is that more queries end in a generated answer, so optimizing for extraction and citation now matters alongside ranking, not instead of it.
Read guide →What Is a Google AI Overview? Definition, Examples, and How They Work
An AI Overview is the AI-generated answer box that appears at the top of many Google search results, summarizing a response in a few sentences and linking out to the handful of web pages it drew from. It is generated by Google's Gemini models from pages already in Google's search index, and it typically synthesizes several sources into one original passage rather than quoting a single page verbatim. AI Overviews are the productized successor to Search Generative Experience (SGE), which Google renamed "AI Overviews" in May 2024. They differ from a featured snippet, which lifts one block of text from a single ranking page, because an Overview writes a new answer and cites multiple sources at once.
Read guide →What Is llms.txt? The Definition, Spec, and Why It Matters for AI Search
llms.txt is a proposed web standard: a single Markdown file placed at the root of your domain (yourdomain.com/llms.txt) that gives large language models a curated, plain-text map of your most important content. Proposed by Jeremy Howard in September 2024, it exists because LLMs have limited context windows and struggle to parse cluttered HTML, so the file offers a clean H1 title, a blockquote summary, and H2 lists of Markdown links to your key pages. It is not robots.txt (which controls crawler access) and not sitemap.xml (which lists every URL for search indexing); llms.txt is a hand-picked content guide written for AI consumption. As of mid-2026 it is an emerging convention with partial, inconsistent support: Anthropic and Perplexity have signaled support, Google has said on the record it does not use it, and independent crawl studies show AI bots rarely fetch the file in practice. Adding one is low-cost and harmless, but it is not a guaranteed path to AI citation.
Read guide →AI SEO Tools vs Traditional SEO Tools: What's Actually Different in 2026
AI SEO tools and traditional SEO tools measure different layers of the same page. Traditional SEO tools (rank trackers, on-page checkers, site crawlers, backlink explorers) measure your position in a ranked list of links: keyword rankings, crawl errors, title tags, internal linking, and authority signals. AI SEO tools (AEO/GEO graders, citation checkers, AI-visibility monitors) measure whether AI answer engines like ChatGPT, Perplexity, and Google AI Overviews can extract, trust, and cite your page: structured data, entity clarity, extractable HTML answers, and question-style content. They overlap on crawlable, well-structured HTML, but neither replaces the other in 2026. Most teams still need a traditional rank tracker for the search-results layer and an AI readiness grader for the answer-engine layer.
Read guide →The Answer Engine Optimization (AEO) Checklist: 25 Steps to Get Cited
An answer engine optimization checklist is a step-by-step list of concrete, verifiable on-page and technical actions that make your pages easy for AI answer engines like ChatGPT, Perplexity, Google AI Overviews, and Claude to find, parse, trust, and cite. The 25 steps below are grouped into five phases: extractable answers, page structure, structured data, entity and trust signals, and verification. Work through them in order, confirm each in your page source, then re-audit. Completing the checklist improves your readiness and the likelihood of being cited; it cannot guarantee any specific engine will quote you.
Read guide →How to Add Schema Markup for AI Search (FAQ, HowTo, and Article)
Schema markup helps AI search engines understand and safely cite your page by labeling its content in machine-readable JSON-LD. For AI citations specifically, three schema types do the heavy lifting: FAQPage (turns your Q&A into extractable question-answer pairs ChatGPT and Perplexity can quote), HowTo (labels step-by-step instructions so they survive synthesis as ordered steps), and Article plus Organization or Person (declares who published the content and establishes the entity behind it). Add the JSON-LD to a server-rendered <script type="application/ld+json"> block, make sure the same facts appear in visible HTML, and validate with Google's Rich Results Test and Schema.org's validator. Schema does not guarantee a citation, but it removes ambiguity that causes engines to skip or misquote you.
Read guide →Why is my page not appearing or being cited in AI search?
If your page isn't cited in AI search, it's almost always one of three things: AI crawlers can't access or read the page, the content isn't a clear self-contained answer, or there isn't enough trust signal to quote you. Diagnose in that order — access first, structure second, authority third — and fix the biggest blocker first.
Read guide →How to track whether AI engines are citing your page
To track whether AI engines cite your page, combine four free methods: run a fixed list of prompts in ChatGPT, Perplexity, and Google AI Mode and log when your URL appears; check analytics for referral traffic from those domains; scan server logs for AI crawler visits; and confirm those bots can actually fetch your page.
Read guide →E-E-A-T for AI search: the trust and authorship signals that make engines quote your page
E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is the set of signals AI engines use to decide which pages are safe to quote. To get cited, attach a real named author with credentials, show first-hand experience, cite sources, keep facts accurate and current, and make your organization verifiable.
Read guide →How to write content that AI answer engines actually quote
To get quoted by AI answer engines, write self-contained passages that answer one question completely in 2-4 sentences, lead each section with the answer before the explanation, repeat the question in your heading, and state facts plainly without pronouns or "as mentioned above." AI engines extract passages, not pages — so make every passage stand alone, unambiguous, and easy to lift verbatim.
Read guide →ChatGPT vs Perplexity vs Google AI Overviews: how each picks pages to cite
The three engines cite differently. Google AI Overviews mostly pulls from pages already ranking in classic Google Search. Perplexity runs its own fresh web search and quotes the most directly-relevant passages. ChatGPT's browsing leans on Bing-indexed results plus pages it can cleanly extract. To win all three: crawlable HTML, strong rankings, and tightly-scoped answer passages.
Read guide →How to check if your page appears in Google AI Overviews
To check whether your page appears in a Google AI Overview, search your target query in Google and look at the AI Overview that appears at the top of the results: expand its list of cited sources and see whether your domain is among them. Because AI Overviews don't show for every query and vary by user, location, and device, test several related queries and check in a clean or incognito session. To test readiness before you rank, confirm your page leads with a direct, quotable answer, uses question-style headings, exposes its key content in server-rendered HTML, and includes relevant structured data — the signals AI answers tend to pull from.
Read guide →Best Google AI Overview checker: what each approach measures
A Google AI Overview checker measures one of two things: whether your page currently appears as a cited source in AI Overviews for specific queries (citation monitoring), or whether a page is structured the way AI Overviews prefer — an extractable answer, question-style headings, clear entity identity, and machine-readable content (readiness assessment). There is no official Google API that exposes real-time AI Overview sources, so monitoring tools each use their own sampling method. Start with a readiness check to fix on-page blockers, then monitor standing over time once the page is in shape.
Read guide →Best generative engine optimization (GEO) tools (2026)
Generative engine optimization (GEO) tools fall into two groups: page-readiness graders that score whether a page is built for AI citation — answer-first content, extractable HTML, entity clarity, structured data — and monitoring platforms that track whether AI engines are currently naming your brand in answers. The two jobs are complementary: fix the page-level blockers first with a readiness grader, then use monitoring to track whether citations improve. Start with the grader because it surfaces changes you can ship this week; monitoring answers a question your page isn't yet ready to pass.
Read guide →How to get your website cited by Google Gemini
To get your website cited by Google Gemini, start with the foundations: your page must be indexed by Google, your key content must be in server-rendered HTML, and you must lead with a direct 2–4 sentence answer to the question the page targets. Layer in Organization or LocalBusiness schema so Gemini can name your brand, question-style H2 headings with a short answer under each, and FAQPage markup for visible Q&A sections. The same signals also raise your readiness for ChatGPT, Perplexity, and Google AI Overviews. No technique guarantees a citation — Gemini decides per query — but pages that give Gemini what it needs are cited far more often than pages that do not.
Read guide →Best AEO audit tools (2026)
The best AEO audit tool depends on the question you need answered. To score a specific page against the signals AI answer engines look for — answer-first structure, entity schema, extractable HTML, question-style headings — a page-level AEO grader gives you a prioritized fix list in minutes without needing traffic data. To validate your structured data specifically, Google's Rich Results Test confirms whether your schema is well-formed. To track whether AI engines are currently citing your brand, a mention-monitoring platform records whether your domain or brand appears in sampled AI answers. Most teams start with a page-level grader, use a schema validator to verify the markup, then move to monitoring once the page-level blockers are cleared.
Read guide →Conversion optimization
Turn the traffic you already have into more revenue.
What is a good website conversion rate?
For most websites, a good conversion rate sits between 2% and 5%. Top-performing pages reach 10% or higher. But the number that matters depends on your page type and industry: an ecommerce product page converts very differently from a SaaS demo request or a local service quote form. Rather than chasing a universal benchmark, measure your own page against the standard for its specific job — that is where the real revenue gains are.
Read guide →How to improve landing page conversion
To improve landing page conversion, start with the three highest-leverage changes: make the headline state the visitor's outcome, reduce the page to one primary call-to-action, and place proof (testimonials, results, or guarantees) right next to that action. These three fixes move the needle more than redesigns or color changes. The six that follow — message match, faster load, risk reversal, shorter forms, mobile tap targets, and clear pricing — compound on top.
Read guide →Why is my website not converting?
When a website gets visitors but few conversions, the cause is almost always one of five things: the message isn't instantly clear, the call-to-action is weak or buried, there's not enough trust or proof, the conversion path has too much friction, or the traffic doesn't match the page's intent. Diagnose by checking each in order — clarity first, then CTA, trust, friction, and finally whether you're attracting the right visitors at all.
Read guide →Best free landing page graders (2026)
A free landing page grader is worth using when it scores the things that actually move revenue: conversion clarity, trust, and AI-search readiness, not just page speed. The best free options each cover a different slice. Match the tool to the job you care about, run more than one, and act on the highest-impact fixes first.
Read guide →How to write a high-converting headline
A high-converting headline states the result the visitor gets, in plain words, specifically enough that a stranger understands the offer in five seconds. The reliable formula is: outcome + who it's for + (optional) how. Lead with the payoff, not the mechanism — write 'Get paid twice as fast' before 'invoicing software with automation.' Cut adjectives, name a concrete result, and make sure the headline matches the ad or link that sent the visitor. The headline is the single most-read element on the page, so it carries more conversion weight than colors, layout, or button copy.
Read guide →What is the average ecommerce conversion rate by industry?
Most ecommerce stores convert between 1% and 3% of visitors into buyers, with strong stores exceeding 3%. The range shifts by industry: low-consideration categories like consumer staples, beauty, and pet supplies tend to sit at the higher end, while high-ticket or high-consideration categories like furniture, jewelry, and electronics usually run lower because shoppers compare longer before buying. These are widely-cited industry ranges, not a guarantee for any one store — your real benchmark depends on traffic source, price point, and how well your product pages remove doubt. The fastest gains almost always come from the product page: clear price and availability, reviews near the buy button, and a frictionless path to checkout.
Read guide →Landing page best practices checklist
A high-converting landing page does twelve things well: it leads with an outcome-focused headline, matches the ad or link that sent the visitor, makes one primary call-to-action obvious above the fold, uses specific action-led button text, places proof (testimonials, ratings, results) near that action, shows visible trust signals, keeps the form short, loads fast on mobile, gives mobile users a one-tap next step, removes competing offers, includes a risk reversal like a guarantee, and keeps the key copy in plain server-rendered HTML so search and AI engines can read it. Work the list top-down — the headline, single CTA, and proof carry the most weight.
Read guide →How to reduce bounce rate
To reduce bounce rate, fix the four things that make visitors leave fast: a message that isn't clear in five seconds, a slow or mobile-unfriendly page, a mismatch between the visitor's intent and what the page delivers, and no obvious next step. Start by confirming the page loads quickly and renders properly on a phone, then make the headline state who it's for and what they get, match the page to the promise that brought the visitor, and give one clear action to take next. A high bounce rate isn't always bad — on a page meant to answer one question, a visitor who got their answer and left may have been satisfied — so judge it against the page's job.
Read guide →What makes a high-converting CTA?
A high-converting call-to-action does four things: it offers one clear, dominant action rather than competing with other buttons; it sits above the fold so visitors don't have to scroll to find the next step; it uses value-led, action-first wording ('Get my free quote') instead of generic labels like 'Submit' or 'Learn more'; and it has trust or risk reversal beside it — a guarantee, a star rating, or 'no credit card required.' The button itself matters less than what surrounds it: the wording, the placement, and the proof at the moment of decision drive far more conversions than the color.
Read guide →B2B SaaS landing page best practices
A high-converting B2B SaaS landing page does five things well: it states the buyer's outcome in the headline so the value is clear in seconds, it leads with one primary CTA (start free or book a demo) above the fold, it backs claims with quantified proof and recognizable logos, it shows pricing or a clear path to it, and it lowers risk with a free trial or 'no credit card' line. Clarity and CTA carry the most weight on SaaS pages, because B2B buyers leave the moment they can't tell what you do, who it's for, and what to do next.
Read guide →How to increase your ecommerce conversion rate
To increase your ecommerce conversion rate, focus on the product page levers that actually drive purchases: make the add-to-cart or buy action unmissable and sticky on mobile, show price and availability clearly, put reviews and ratings right next to the buy button, reduce risk with visible returns and shipping terms, and keep the page fast on a phone. On product pages, proof and CTA carry the most weight, because shoppers trust other buyers and act in the moment. Fix the highest-friction step first; small frictions near the buy button cost real sales.
Read guide →How to audit a landing page: a 12-point 2026 framework
A landing page grader is a structured way to score a page against the factors that actually drive conversions, so you fix the right things in the right order. To audit a landing page, grade it on 12 points across four buckets — message clarity, conversion design, trust and proof, and technical performance — then assign each a 0–2 score (fail, partial, pass) and act on the failures first. This framework turns a vague "the page feels off" into a ranked, evidence-based punch list you can ship in an afternoon.
Read guide →How to run a website conversion audit (step by step)
A website conversion audit is a structured, evidence-based review of why visitors leave a page or funnel without taking the action it was built for — and a ranked list of fixes to recover that lost revenue. To run one, define the conversion goal for each key page, pull the analytics that show where people drop off, then teardown each page against four levers (clarity, friction, trust, and motivation), and finally prioritize fixes by impact versus effort. The point is not a long list of opinions; it is a short list of changes ordered by how much revenue each is likely to return.
Read guide →How to audit a Shopify store for conversions
A Shopify store grader is a tool that scores your storefront against the factors proven to drive ecommerce conversions — product page clarity, trust signals, mobile speed, checkout friction, and search/AI visibility — then ranks the fixes by revenue impact. To audit a Shopify store for conversions yourself, evaluate seven areas in order: storefront message clarity, product detail pages, trust and proof, mobile experience, site and image speed, the cart-to-checkout path, and how findable your store is in search and AI answers. Grade each against the standard for an ecommerce store, not a generic landing page, and fix the highest-impact gap first.
Read guide →How to run a CRO audit (a repeatable 2026 process)
A CRO audit is a structured review of where a page or funnel loses potential conversions and which fixes will recover the most revenue. The repeatable process is seven steps: define the goal and conversion event, pull quantitative data, run a heuristic page review, gather qualitative signals, prioritize findings by impact and effort, build a ranked hypothesis backlog, and re-audit on a fixed cadence. Unlike a one-time page critique, a real CRO audit produces a prioritized backlog you can test against — not just a list of opinions.
Read guide →Best CRO audit tools (2026)
The best CRO audit tool depends on the question you need answered. To see where visitors drop off or hesitate, behavior analytics tools — heatmaps, session recordings, and funnel analysis — show you the observed pattern. To test whether a specific change lifts conversions, an A/B testing platform runs a controlled experiment. To diagnose structural problems on a page right now without waiting for traffic, a page-level CRO audit grader gives you a prioritized fix list in minutes. Effective CRO programs typically layer all three: observe, hypothesize, test.
Read guide →Best website conversion audit tools (2026)
The best website conversion audit tool depends on what layer of conversion problem you need to diagnose. For quick page-level diagnosis — weak headline, buried CTA, missing proof, too much friction — a page grader gives you a prioritized fix list in minutes without needing traffic data. For understanding how visitors actually behave on the page, behavior analytics tools like heatmaps and session recordings show you where attention drops. For auditing the whole site across many page types at once, a site-crawling or audit platform finds structural gaps at scale. Most effective audits combine at least two layers: a structural grader for what the page should say, and behavior tools for what visitors actually do.
Read guide →SEO & site fundamentals
On-page SEO and the basics every page should get right.
Page-type-specific vs one-size-fits-all website grading
Page-type-specific grading judges a page against the job it exists to do, while one-size-fits-all grading applies the same generic checklist to every URL. A pricing page, a landing page, and a blog post convert in completely different ways, so a single rubric rewards the wrong things and hides the fixes that actually move revenue and AI-answer visibility.
Read guide →Local business website checklist
A local business website should make four things effortless: it should show your name, address, phone, and hours (NAP) clearly, give a one-tap action like click-to-call or tap-to-book, display reviews and trust signals, and load fast on a phone. Add LocalBusiness structured data so search and AI answer engines can identify and surface you for 'near me' searches. Local buyers decide in the moment on a phone, so trust and mobile usability matter more here than on almost any other page type, and the highest-impact fixes are usually quick ones.
Read guide →What is an on-page SEO grader (and how to read your score)?
An on-page grader is a tool that scans a single web page and scores how well it's optimized for search engines, then lists the specific fixes that would raise the score. A good on page grader checks elements you control on the page itself — title tag, meta description, headings, keyword usage, content depth, internal links, image alt text, structured data, and page speed signals — and weights each by how much it tends to influence rankings. The score is a relative health indicator, not a ranking guarantee: treat it as a prioritized checklist, where the gap between your grade and 100 is your to-do list ranked by impact.
Read guide →Best free SEO grader tools (2026)
The best free SEO grader tool is the one that checks the things that actually move your rankings and conversions: title and meta tags, heading structure, content depth, internal links, structured data, page speed, mobile readiness, and — increasingly — whether your page is structured to be cited in AI answers. Free graders vary in scope: some only check on-page tags, others add technical and AI-search signals. Pick one that grades against your page's actual job (a product page is judged differently from a blog post), explains why each issue matters, and gives you a prioritized fix list rather than a single vanity score.
Read guide →How to check on-page SEO
To check on-page SEO, work through the elements you control on the page itself: confirm the title tag is unique and descriptive, the meta description is written and relevant, there's a single clear H1 with a logical heading outline, the content fully answers the query, internal links connect related pages, images have descriptive alt text, and structured data is in place. View the page's source to confirm your key content is in the server-rendered HTML. Check these in order from highest impact (title, headings, content) down to the finer technical details, and fix the obvious gaps before moving on.
Read guide →Does Gemini cite my website? How to check and what to fix
To check whether Gemini cites your website, open Gemini with web grounding enabled and ask the questions your buyers actually type about your category — not your brand name. If Gemini names a competitor and links to their site instead of yours, the fix is almost always on-page: your content is not structured so Gemini can read, trust, and quote it. A direct extractable answer on each key page, question-style headings, Organization or LocalBusiness schema, and server-rendered content are the four signals that move the needle.
Read guide →Best Gemini visibility checker: how to compare your options
A Gemini visibility checker answers one of two questions: is my page built so Google Gemini can read, identify, and quote it (page readiness), or does Gemini actually mention or cite my brand when someone asks about my category (mention tracking)? Page-readiness graders inspect your URL for the on-page signals — Organization schema, extractable HTML, question-style headings, direct answers — that make Gemini citation likely. Mention-tracking tools sample live Gemini responses and record whether your brand appears. Neither can guarantee a placement; choose based on the question you need answered.
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