Search has changed. A growing share of your customers are no longer typing queries into Google and clicking through a list of links – they’re asking AI tools for the answer directly.
ChatGPT, Claude, Perplexity, Google’s AI Overviews, Gemini, and Copilot are becoming the first point of contact between buyers and brands.
Frustration with traditional search is a major driver. In a 2026 consumer study, 37% of people said they now start searches with AI tools rather than Google, citing faster answers, clearer explanations, and less clutter.
When asked what frustrates them most about traditional search results, users pointed to:
- Clicking through too many links
- Too many ads and sponsored results
- Difficulty getting a straight answer
- Repetitive or low-quality information
AI tools solve that friction. Instead of scanning a page of blue links, users get a direct response, a short explanation, and a curated list of options.
The discipline of optimising for this new reality is called Generative Engine Optimisation (GEO). It’s not a replacement for SEO, it builds on top of it. But it requires a distinct set of actions focused on clarity, authority, and AI extractability.
This guide gives you 21 specific, actionable steps; ordered from highest to lowest impact – so that you can improve your brands visibility across AI search.
Each includes a time estimate and an ICE score (Impact + Confidence + Ease) so you can prioritise intelligently based on your available time and resources.
And if you can’t find the time to action all these recommendations? Hiring the best AI/ GEO optimisation agency around (us) would help to speed up the process!
| 📊 ICE Framework: Impact = how much this will move the needle (out of 10). Confidence = how certain we are it works (out of 10). Ease = how quick/simple it is to execute (out of 10). ICE Score = total out of 30. |
How to use this guide
The 21 tips are ordered from most impactful to least. We’ve also tagged each one with a category so you can filter by what matters most to you right now:
Category | Description |
🔍 Quick Win | Fast to implement, high confidence – start here. |
🔧 Technical | Requires developer input or site-level changes. |
✍️ Content | Involves writing, restructuring, or publishing content. |
🤝 Authority | Builds third-party trust, citations, and brand mentions. |
Quickly find a specific section of this guide:
- 01: Audit your current AI visibility
- 02: Check your Robots.txt isn’t blocking AI crawlers
- 03: Setup & maintain Bing webmaster tools
- 04: Claim & optimise your Google Business Profile
- 05: Implement & strengthen your Schema markup
- 06: Add comprehensive FAQ sections to key pages
- 07: Setup AI visibility tracking
- 08: Write answer-first content (answer capsule technique)
- 09: Standardise your brand information (NAP consistency)
- 10: Get listed on reputable review platforms
- 11: Build a Wikidata/ Wikipedia presence
- 12: Use HARO & journalistic sourcing platforms
- 13: Refresh & update your highest value content regularly
- 14: Publish expert authorship with detailed bios
- 15: Get mentioned on high-authority, third-party websites
- 16: Create dedicated about, services + comparison pages
- 17: Produce original data, research + statistics
- 18: Create topic cluster content around your core categories
- 19: Build a presence on Reddit & niche forums
- 20: Maintain a consistent content publishing cadence
- 21: Ensure your site uses server-side rendering
01: Audit your current AI visibility
🔍 Quick Win
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
2–3 hours | 9/10 | 9/10 | 10/10 | 28/30 |
Before you optimise anything, you need to know where you stand.
Most brands have no idea whether they appear in AI search responses, and that blind spot is expensive.
A 2026 study by Bain & Company found that between 60–80% of users now rely on AI-generated answers for at least one category of purchasing decision, yet the vast majority of brands have done zero testing to see how they appear – or whether they appear at all – inside those answers.
The gap between AI visibility and traditional SEO performance can be enormous; brands with strong Google rankings frequently appear nowhere in AI-generated responses due to structural, entity, and authority gaps.
Running a visibility audit takes a few hours and gives you a complete diagnostic: which queries you appear in, which you don’t, and how accurately you’re being described. Everything else in this guide starts here.
| What to do |
|---|
| 1. Open ChatGPT, Perplexity, Gemini, and Google AI Overviews. Type 10–15 prompts your customers would realistically use – e.g. “best [service] in [city]” or “alternatives to [competitor]”. 2. Record each result in a spreadsheet — log the platform, prompt, whether you appeared, your position, and how accurately you were described. 3. Highlight every prompt where a competitor appears but you don’t. This is your priority hit-list for everything that follows in this guide. |
02: Check your Robots.txt isn’t blocking AI crawlers
🔧 Technical
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
5-10 minutes | 8/10 | 9/10 | 10/10 | 27/30 |
This is the simplest item on this list, and potentially the most impactful for brands that haven’t checked it.
A misconfigured robots.txt file can silently block every AI crawler on the web from accessing your content – meaning no amount of schema markup, content quality, or third-party citations will translate into AI visibility, because the bots simply cannot reach your pages.
OpenAI’s GPTBot, Google-Extended (used for AI training and Gemini), PerplexityBot, and ClaudeBot all respect robots.txt directives.
After ChatGPT’s crawlers became public knowledge in mid-2023, a wave of publishers blocked them – and many companies inadvertently copied those directives into their own configurations.
This is a five-to-ten minute audit that could unlock visibility across every major AI platform at once.
| What to do |
|---|
| 1. Go to yourdomain.com/robots.txt in your browser and look for any “Disallow” rules under these user-agents: GPTBot, PerplexityBot, Google-Extended, and ClaudeBot. 2. If any are blocked, remove the offending lines via your CMS (in WordPress: Yoast SEO → Tools → File Editor) or directly via FTP. 3. Re-check the live file after saving to confirm the rules are gone. If you want to block specific crawlers intentionally, do so per user-agent — never use a blanket “Disallow: /”. |
03: Setup & maintain Bing webmaster tools
🔧 Technical
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
1–2 hours (setup), 30 min/month (monitoring) | 8/10 | 9/10 | 9/10 | 26/30 |
Most marketers treat Bing as an afterthought. In the context of AI search, that’s a significant strategic error.
ChatGPT uses Bing’s index as its primary external data source when responding to real-time and factual queries, meaning Bing is effectively the back door to ChatGPT visibility.
Microsoft confirmed this relationship publicly: Bing powers the retrieval layer that ChatGPT taps when its pre-training data isn’t current enough to answer a question confidently.
Despite this, the majority of brands have never properly configured Bing Webmaster Tools. Many haven’t verified their site, haven’t submitted sitemaps, and have unresolved crawl warnings sitting quietly in the dashboard.
A site that Bing cannot crawl confidently is a site that ChatGPT cannot reliably cite, regardless of how strong that brand’s Google performance is. This is a high-impact, low-effort fix that most competitors haven’t made.
| What to do |
|---|
| 1. Go to bing.com/webmasters, sign in with a Microsoft account, and add your site. The fastest verification method is pasting your existing Google Search Console meta tag — Bing accepts the same one. 2. Once verified, go to Sitemaps and submit your sitemap URL (usually yourdomain.com/sitemap.xml). Confirm the status shows “Success”. 3. Go to Crawl → Crawl Errors and fix any flagged pages, prioritising your key service and landing pages. Set a monthly calendar reminder to check back in. |
04: Claim & optimise your Google Business Profile
🔍 Quick Win
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
1–2 hours (setup), 30 min/month (maintenance) | 8/10 | 9/10 | 9/10 | 26/30 |
Google’s AI Overviews and Gemini draw heavily from Google Business Profile data when generating local and category-based recommendations.
For any brand operating in a specific geography – a city, region, or country – your GBP is one of the most directly actionable signals available to you.
Google has confirmed that Business Profile information is among the primary data sources used to power AI-generated local answers, and third-party analysis of Gemini’s citation behaviour found that GBP consistently appears as a key reference for recommendations involving location-specific queries.
Despite this, a significant share of business profiles remain unclaimed, incomplete, or outdated.
Missing service categories, no reviews, blank descriptions, and stale photos all reduce AI confidence.
A fully optimised GBP, by contrast, gives the AI a structured, verified, Google-owned data point to draw from, which carries significant weight in Google’s own ecosystem.
| What to do |
|---|
| 1. Go to business.google.com, search for your business, and claim or create your listing. Complete verification (postcard, phone, or video call) before anything else. 2. Fill in every available field — category, description, services, hours, photos (minimum 10), website, and phone. Incomplete profiles carry less weight in AI answers. 3. Copy your direct review link from the dashboard and send it to every new client within 48 hours of project completion. Respond to every review posted — both positive and negative. |
05: Implement & strengthen your Schema markup
🔧 Technical
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
4–8 hours | 9/10 | 9/10 | 7/10 | 25/30 |
Schema markup is one of the clearest direct signals you can send to AI systems about who you are and what you do.
Without it, AI models are forced to infer your brand’s identity, category, and offerings from raw text – and inference is imprecise.
Perplexity’s algorithms explicitly favour machine-readable content structured via schema.org and JSON-LD, and Google’s own documentation confirms that structured data helps its AI systems better understand page context.
A 2025 Zyppy analysis found that pages using structured data received notably higher rates of inclusion in AI-generated overviews compared to equivalent pages without it.
The reason is straightforward: schema eliminates ambiguity. It tells an AI model not just that your page mentions ‘consulting services’, but that you are an Organisation, based in a specific city, offering a defined Service, with verifiable contact details.
That clarity is the foundation of confident citations.
| What to do |
|---|
| 1. Run your key pages through search.google.com/test/rich-results to see what schema is currently detected and what’s missing or broken. 2. Add JSON-LD schema in this priority order: Organization (homepage), LocalBusiness (if location-based), Service (each service page), Article (blog posts), FAQPage (any page with a FAQ section). 3. If you’re on WordPress, use the Rank Math or Yoast SEO plugins — both have built-in schema generators that handle the code for you. Re-validate each page after changes. |
06: Add comprehensive FAQ sections to key pages
✍️ Content
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
1–2 hours per page | 8/10 | 9/10 | 8/10 | 25/30 |
FAQs are one of the most reliably cited content formats across every major AI platform, and the reason is structural.
AI tools like ChatGPT and Perplexity are primarily question-answering engines, and FAQ sections are, by definition, pre-formatted question-and-answer pairs.
They require almost no transformation to extract and reuse.
A 2025 analysis by Semrush found that pages featuring well-structured FAQ sections saw a 30% higher rate of inclusion in AI-generated responses compared to equivalent pages without them.
The additional lift from FAQ schema markup compounds this further, as it allows the AI to identify and parse Q&A pairs without ambiguity.
Critically, the questions themselves need to be written in natural, conversational language – the way a real customer would type or speak the query, not the way a marketer would phrase a category label.
That alignment between question format and user intent is what closes the relevance gap.
| What to do |
|---|
| 1. Find real questions from three places: your own inbox and sales calls, Google’s “People Also Ask” boxes for your core search terms, and AlsoAsked.com for deeper question mapping. 2. Write each answer in 40–80 words, starting with a direct response — no preamble or context first. Write conversationally, as if speaking face-to-face. 3. Add FAQPage schema to each section. In WordPress with Rank Math, edit the page → Schema tab → Add Schema → FAQ. Re-validate at search.google.com/test/rich-results once live. |
07: Setup AI visibility tracking
🔍 Quick Win
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
2–3 hours (setup), 30 min/week (review) | 8/10 | 9/10 | 8/10 | 25/30 |
Traditional SEO has Google Search Console, Ahrefs, and Semrush – detailed, granular tools that tell you exactly how your site performs in organic search.
AI visibility tracking is a newer discipline, but the tooling has matured rapidly into 2026.
Platforms like Otterly.AI, SE Ranking’s AI Search Grader, and Surfer’s AI Visibility Tracker now allow brands to monitor how frequently they appear in AI-generated responses across ChatGPT, Perplexity, and Google AI Overviews for a defined set of queries.
Without this data, GEO optimization is directional at best. You can’t tell which content changes are working, which queries you’re winning or losing, or whether a competitor is displacing you in AI recommendations.
Setting up tracking takes a few hours, but it transforms AI visibility from an abstract aspiration into a measurable, week-on-week metric – which is what turns it from a project into a programme.
| What to do |
|---|
| 1. Create an account on Otterly.AI, SE Ranking’s AI Search Grader, or Surfer’s AI Visibility Tracker — all allow you to monitor brand appearances across ChatGPT, Perplexity, and AI Overviews. 2. Define 20–30 tracking prompts covering: category queries (“best [service] in [city]”), problem queries (“how to fix [X]”), comparison queries (“[your brand] vs [competitor]”), and brand queries (“[brand name] reviews”). 3. Set a 30-minute weekly review slot. Record your visibility score, note prompts gained or lost, and flag new competitors appearing in your tracked queries. |
08: Write answer-first content (answer capsule technique)
✍️ Content
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
2–4 hours per page | 9/10 | 8/10 | 7/10 | 24/30 |
AI systems don’t rank pages, they extract answers from them.
The model scans your content looking for the clearest, most direct response to the user’s query. If that answer is buried beneath a lengthy preamble, historical context, or brand messaging, it may not be extracted at all.
A multi-domain study found that 72.4% of pages cited by ChatGPT included an identifiable answer capsule – a clear, concise summary of the key answer – near the top of the page.
This mirrors the inverted pyramid structure long used in journalism: lead with the conclusion, then support it.
For GEO purposes, this means every core page should answer its primary question within the first 100 words. Think of it as writing a Wikipedia-style lede: give the AI exactly what it needs to cite you, and then give the human reader the deeper context they need to stay.
| What to do |
|---|
| 1. In Google Search Console → Performance → Pages, find your top 10 landing pages. For each, identify the single primary question the page should answer. 2. Write a 50–100 word direct answer to that question and paste it as the very first paragraph — before any introduction, background, or context. 3. Restructure the rest of the page using question-based H2s (e.g. “How much does X cost?” not “Pricing”), short paragraphs, and bullet points. Each section should be self-contained enough for AI to quote it in isolation. |
09: Standardise your brand information (NAP consistency)
🔍 Quick Win
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
3–5 hours (audit + cleanup) | 8/10 | 8/10 | 8/10 | 24/30 |
AI systems build their understanding of a brand by aggregating information from dozens of independent sources – your website, LinkedIn, Google, directories, press coverage, review platforms, and more.
When that information is inconsistent across sources, different brand name formats, outdated addresses, varying service descriptions, conflicting positioning – the AI’s confidence in any single representation of your brand drops.
The result is hedged answers (‘according to some sources’), omissions, or inaccurate descriptions.
NAP consistency (Name, Address, Phone) originated in local SEO but the principle now extends to every facet of brand data.
A 2025 analysis found that entity consolidation – the degree to which all external references point to a single, coherent brand identity – was one of the most reliable predictors of AI citation confidence.
Standardising your data is free, fast, and immediately reduces AI ambiguity.
| What to do |
|---|
| 1. Search your brand name on Google and audit every listing on the first two pages — note every variation in your name, address, phone, or description across your website, LinkedIn, GBP, directories, and review platforms. 2. Define one canonical version of each data point: exact brand name, address, phone (with country code), one-line description (max 160 chars), and service category. 3. Update every platform to match. Use Moz Local (moz.com/local) or BrightLocal to batch-update major directories. Mark each as done and recheck every six months. |
10: Get listed on reputable review platforms
🤝 Authority
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
2–3 hours (setup), 30 min/week (ongoing) | 8/10 | 8/10 | 8/10 | 24/30 |
Review platforms like G2, Trustpilot, Clutch, Capterra, and Tripadvisor sit in a uniquely powerful position for AI citation.
They are independent, they aggregate authentic third-party opinions, and they are explicitly in the business of making recommendations – which maps directly to the queries AI tools receive most often (‘best X for Y’, ‘most reliable X in Z city’).
An analysis of ChatGPT and Perplexity citation sources in 2026 found that review aggregator platforms appeared in a disproportionately high share of AI-generated recommendations, particularly in B2B software, professional services, and consumer categories.
The underlying reason is trust: review platforms provide the kind of independent, multi-source social proof that AI systems use as a confidence anchor when making a recommendation to a user.
A well-reviewed profile on the right platform also generates ongoing, fresh, keyword-rich content – new reviews – that keeps your listing relevant.
| What to do |
|---|
| 1. Identify the right platforms for your industry — B2B services: Clutch and G2. SaaS: Capterra and GetApp. Consumer: Trustpilot and Google. Validate by Googling “[competitor name] reviews” to see which platforms surface. 2. Claim each profile and complete every field — description, services, founding year, team size, logo, and website. On Clutch, add verified case studies as these carry significant weight in AI recommendations. 3. Send every new client a direct review link within 48 hours of project completion. Respond professionally to every review posted. |
11: Build a Wikidata/ Wikipedia presence
🤝 Authority
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
2–4 hours | 8/10 | 8/10 | 7/10 | 23/30 |
Wikipedia and Wikidata sit at the top of the trust hierarchy for most major large language models.
Because LLMs were trained on a large corpora of web data, Wikipedia’s structured, editorial, and heavily cited content was disproportionately represented – and that influence persists in how models weight entity credibility.
Wikidata, Wikipedia’s structured data companion, functions as a machine-readable knowledge graph. An entry in Wikidata gives AI systems a verified, structured, external record of your brand’s existence, category, and key attributes.
Research from the entity SEO space consistently shows that brands with Wikidata entries are cited more accurately and more frequently by AI tools, because the model has a high-confidence, structured source to anchor to.
Note that Wikipedia requires demonstrated notability (media coverage, third-party sources), but Wikidata has a lower threshold and accepts entries for organisations with verifiable data points.
| What to do |
|---|
| 1. Go to wikidata.org and search your brand name. If an entry exists, verify that the key fields are accurate: official website (P856), industry (P452), country (P17), and founding date (P571). 2. If no entry exists, create a free account and click “Create a new item”. Add your brand name, a brief description, and statements for each key property — each must reference a verifiable source URL. 3. For Wikipedia, you need three or more independent, published references that mention your brand. If eligible, submit a draft at en.wikipedia.org/wiki/Wikipedia:Articles_for_creation — neutral tone only, no promotional language. |
12: Use HARO & journalistic sourcing platforms
🤝 Authority
Getting quoted as an expert in news and media coverage is one of the fastest paths to the high-authority third-party citations that AI models weigh most heavily.
Journalist sourcing platforms like HARO (Help a Reporter Out), Qwoted, and Sourcebottle connect brands directly to reporters actively looking for expert commentary – often within tight deadlines.
The opportunity is significant: a single well-placed quote in a high-authority publication can earn the kind of citation that months of content production can’t replicate.
In the context of GEO, the value goes beyond the direct link or mention. Every time your name, title, company, and area of expertise appear together in trusted media coverage, the LLM’s association between your brand and your category strengthens.
Speed matters here – journalists typically take the first credible response they receive, so fast, specific, expert commentary wins.
| What to do |
|---|
| 1. Sign up as a source on Connectively (connectively.us — the rebranded HARO), Qwoted (qwoted.com), and Sourcebottle (sourcebottle.com). Set your expertise categories on each. 2. When a relevant query arrives, respond within two hours. Include a 100–200 word expert quote answering the journalist’s question directly, plus your full name, job title, company name, and website — ready to use, no follow-up required. 3. Each time a piece is published, save the URL and add it to a press page on your website. Share on LinkedIn and link to it from your About page to compound the authority signal. |
13: Refresh & update your highest value content regularly
✍️ Content
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
1–2 hours per page, quarterly | 7/10 | 8/10 | 8/10 | 23/30 |
Content freshness is a trust and confidence signal for AI systems – particularly for platforms like Perplexity and browsing-enabled ChatGPT that actively retrieve live web content.
When a page hasn’t been updated in 18 months, an AI system has legitimate reason to question whether the information is still accurate, especially for fast-moving sectors like technology, finance, regulation, or market data.
Google’s own freshness documentation confirms that recently updated pages receive a recency boost for time-sensitive queries.
But the benefit of regular content refreshes isn’t purely about the update date – it’s about the signal a pattern of updates sends.
Pages that are consistently maintained over time indicate an active, invested publisher, which correlates with reliability.
A practical approach: audit your top 20 pages by traffic quarterly, update statistics, add new FAQs, and republish with a clear ‘last updated’ date visible to both readers and crawlers.
| What to do |
|---|
| 1. In Google Search Console → Performance → Pages, find your top traffic pages. Cross-reference with your AI visibility audit — pages with strong organic traffic but no AI citation are your highest-priority refreshes. 2. For each page: update any outdated statistics, add 2–3 new FAQ entries, check all outbound links still work, and refresh the answer capsule at the top (see Tip 08). 3. Update the published date to today in your CMS, then go to Google Search Console → URL Inspection → Request Indexing, and repeat in Bing Webmaster Tools → URL Submission. |
14: Publish expert authorship with detailed bios
✍️ Content
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
2–4 hours (initial setup per author) | 7/10 | 8/10 | 8/10 | 23/30 |
Anonymously published content carries less weight with AI systems than content clearly attributed to a real, identifiable, credentialled expert.
This isn’t simply a preference, it reflects how LLMs assess source reliability.
Google’s EEAT framework (Experience, Expertise, Authority, Trustworthiness) directly influences how AI systems evaluate content credibility, and authorship is a concrete signal within that framework.
A 2026 Brighton SEO analysis found that content with detailed author bios – including professional credentials, published works, and links to external profiles – was significantly more likely to be cited in AI-generated responses than comparable content without attribution.
The logic is straightforward: an AI model that can verify who wrote something, confirm their expertise, and trace their professional history has higher confidence in the content’s reliability.
Named experts also enable AI systems to build category associations, linking a person, their expertise, and your brand together into a coherent, citable package.
| What to do |
|---|
| 1. Edit each user profile and fill in the Biographical Info section (minimum 150 words — covering background, credentials, and expertise). Install Simple Author Box or PublishPress Authors to display this on every post. 2. Within each bio, link to: LinkedIn profile, any published work in external outlets, industry memberships, and professional credentials. These outbound links help AI systems verify the author’s real-world identity. 3. Go back through every existing post and confirm a named author byline is displayed and linked. Add “assign named author” as a required step in your content publishing checklist going forward. |
15: Get mentioned on high-authority, third-party websites
🤝 Authority
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
Ongoing — 1–2 pitches per week | 9/10 | 8/10 | 5/10 | 22/30 |
AI models don’t weigh your own website the same way they weigh independent third-party coverage of your brand.
When The Guardian, Forbes, a trade journal, or a respected industry publication mentions your brand in context, it carries a fundamentally different signal than anything you publish yourself.
An analysis of AI citation patterns conducted in 2026 found that ‘relevancy and brand mentions — specifically the way people speak about the brand on other pages’ were the top predictive factors for whether an AI system would cite a brand.
LLMs learn to associate brands with categories through repetition across independent sources: the more often your brand name appears alongside your core category in authoritative, unaffiliated content, the more confidently an AI model treats you as the go-to answer in that space.
This is the GEO equivalent of link equity in traditional SEO, and like link equity, it compounds over time.
| What to do |
|---|
| 1. Build a target list of 20–30 publications in your sector. Use Ahrefs’ or Semrush’s backlink report on a competitor domain, filter for DR 50+, and identify where they’re getting editorial coverage. 2. Find the editor or contributor contact on each publication’s “Write for us” or “Contact” page. Pitch a specific topic idea in three to four sentences — lead with editorial value, not a promotional angle. 3. Each placement earned goes on a press page on your website (“As Seen In” with logos and links). This page itself becomes a trust signal AI systems reference when assessing your brand’s credibility. |
16: Create dedicated about, services + comparison pages
✍️ Content
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
4–8 hours | 7/10 | 8/10 | 7/10 | 22/30 |
When an AI tool is asked a direct question – ‘What does [Brand] do?’, ‘How much does [Brand] charge?’, ‘How does [Brand] compare to [Competitor]?’ – it needs a clear, unambiguous page to extract the answer from.
If that page doesn’t exist, or if the information is scattered across multiple pages with inconsistent framing, the AI either produces a vague, hedged answer or substitutes a competitor who has clearer pages.
Brands with standalone, clearly structured service pages were cited 45% more often for category-intent queries than brands whose services were described only within a general homepage or footer.
Comparison pages deserve special mention: queries following the format ‘[Brand A] vs [Brand B]’ or ‘alternatives to [Brand]’ are increasingly common in AI search.
A well-structured comparison page you control is far better than leaving AI to source that comparison from a competitor’s website.
| What to do |
|---|
| 1. Audit your site for gaps: a standalone About page, an individual page for each service you offer (not one generic page), and any comparison pages. Add missing pages to your CMS as tasks. 2. Write each service page with AI extraction in mind — a one-sentence definition of the service in line one, a clear “who is this for” section, a list of specific deliverables, and a FAQ section. 3. Build at least one “[Your Brand] vs [Competitor]” or “Best [category] alternatives” page. Structure it as an objective comparison table — being fair and factual increases AI citation probability because it reads as editorial. |
17: Produce original data, research + statistics
✍️ Content
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
20–40 hours (research production), Ongoing | 9/10 | 8/10 | 4/10 | 21/30 |
AI systems have a hierarchy of source preference, and original primary research sits near the top of it.
When you publish a genuine study, your own customer survey, industry benchmark, or aggregated dataset, you create something that no competitor has: a unique, citable fact.
Other publishers reference it, journalists quote it, and AI models treat it as a primary source rather than a secondary one.
A landmark study found that GEO optimisations incorporating original citations and statistics boosted source visibility in generative engine responses by up to 40%.
The compounding effect is significant: original data attracts backlinks, earns press coverage, and generates the kind of third-party mentions that independently reinforce AI citation probability.
It’s the highest-effort item in this list, but also the one with the longest tail of returns.
| What to do |
|---|
| 1. Create a 5–10 question survey using Google Forms or Typeform, focused on a topic your audience cares about. Distribute to your email list, LinkedIn, and relevant online communities. Aim for at least 50 responses. 2. Publish the results as a standalone report page or blog post. Lead with your three to five most surprising statistics. Include a methodology note: sample size, date collected, and how participants were recruited. 3. Email the report to journalists in your sector with a two-sentence pitch. Post it to relevant Reddit communities. Reference it in your HARO/Connectively responses when relevant. Each citation of your data compounds over time. |
18: Create topic cluster content around your core categories
✍️ Content
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
20–40 hours (initial build), Ongoing | 8/10 | 8/10 | 5/10 | 21/30 |
AI systems don’t just evaluate whether a single page is good, they assess the depth and breadth of your expertise across an entire topic area.
A brand with a single strong article about a subject is less likely to be cited as the authoritative voice than a brand with a comprehensive content ecosystem covering that subject from multiple angles.
This mirrors how topical authority works in traditional SEO, but the implications for GEO are even more pronounced.
A 2025 Semrush study found that websites with strong topical authority, defined as having a clear pillar page supported by multiple in-depth cluster articles, were cited by AI systems 2.7x more frequently than single-article competitors on the same topic.
The mechanism is entity reinforcement: the more pages you have connecting your brand to a specific topic, the more confidently an AI model treats you as the definitive source.
| What to do |
|---|
| 1. Identify two to three core topics your brand should own. For each, brainstorm 8–12 subtopics underneath it. Use Semrush Topic Research or Ahrefs Keywords Explorer to validate search demand for each. 2. Write the pillar page first — a comprehensive 2,000–3,500 word overview of the main topic that introduces all subtopics and links out to each cluster article as you build them. 3. Write each cluster article to cover one subtopic in depth. At the bottom of every cluster article, link back to the pillar page. At the bottom of the pillar page, maintain a “Related guides” section linking to every cluster. |
19: Build a presence on Reddit & niche forums
🤝 Authority
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
2–4 hours per week (ongoing) | 7/10 | 7/10 | 7/10 | 21/30 |
Reddit is one of the most heavily cited sources across multiple major AI platforms, and this isn’t accidental.
LLMs were trained on enormous volumes of Reddit data via Pushshift and similar datasets, making Reddit content deeply embedded in how models understand conversational topics.
An October 2025 analysis of citation patterns across leading LLMs found that Reddit, LinkedIn, and YouTube collectively accounted for a significant share of AI-surfaced community-sourced citations.
Perplexity and ChatGPT’s browsing mode actively retrieve from live Reddit threads for consumer queries, comparison questions, and category recommendations.
For brands, this creates a specific opportunity: authentic participation in relevant subreddits – answering questions, sharing data, and providing genuinely useful content – creates community-validated signals that AI tools interpret as peer-endorsed credibility.
The key word is authentic. Obvious promotional posts are downvoted and flagged, reducing rather than improving your visibility.
| What to do |
|---|
| 1. Search Reddit for your core category keywords and identify two to three active subreddits where your target audience asks questions. Look for communities with five or more new posts per day. 2. Spend the first two to four weeks only adding value — answer questions in detail, no brand mentions. Upvotes and karma signal to both the community and AI crawlers that your contributions are trusted. 3. Once you have a contribution history, mention your brand only when genuinely relevant — e.g. “We ran a study on this and found X.” Never make standalone promotional posts. Transparency and authenticity is what gets upvoted and cited. |
20: Maintain a consistent content publishing cadence
✍️ Content
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
Ongoing – varies by team size | 7/10 | 8/10 | 6/10 | 21/30 |
AI systems form a view of your brand not just from individual pages, but from the aggregate pattern of your content activity over time.
A brand that publishes consistently, regularly adding new, well-structured, expert-attributed content, sends ongoing freshness and relevance signals that accumulate.
A brand that published eight articles two years ago and nothing since sends the opposite signal. Brandi AI data found that brands producing 12 or more new or optimised pieces of content saw up to 200x faster AI visibility gains compared to those producing just four pieces.
The threshold isn’t enormous; even two quality pieces per month, published consistently, is enough to maintain active-publisher status in the eyes of AI retrieval systems.
The format mix matters too: long-form guides build topical authority, data pieces attract citations, and opinion content builds entity association for key people within your organisation.
| What to do |
|---|
| 1. Set a cadence you can actually sustain — two posts per month is a solid baseline for most brands. Build a 90-day content calendar mixing formats: one long-form guide, one shorter data or opinion piece, and one content refresh per month. 2. Create a repeatable publishing checklist: answer capsule added → FAQ section included → named author assigned → internal links connected → schema applied → meta description written. Apply it to every post without exception. 3. After every publish, go to Google Search Console → URL Inspection → Request Indexing, then repeat in Bing Webmaster Tools → URL Submission. This fast-tracks new content to crawlers within hours rather than waiting weeks. |
21: Ensure your site uses server-side rendering
🔧 Technical
⏱ Time | Impact (I) | Confidence (C) | Ease (E) | ICE Score |
4–20 hours (developer-dependent) | 7/10 | 8/10 | 5/10 | 20/30 |
A significant proportion of modern websites, particularly those built on frameworks like React, Vue, or Angular – render their content client-side, meaning the HTML delivered to a crawler’s first request is essentially a blank shell.
The actual content loads only after JavaScript executes in the browser.
Most AI crawlers don’t execute JavaScript. They send a GET request, receive the HTML, and index what they see.
For a client-side rendered site, that means they see almost nothing, regardless of the quality or quantity of content that would appear to a human visitor.
A 2026 technical SEO study found that JavaScript rendering issues were among the top five crawlability problems affecting AI bot indexation.
The fix – implementing server-side rendering (SSR) or static site generation – is a developer task, but for affected sites it can represent a step-change in AI visibility simply by making existing content accessible for the first time.
| What to do |
|---|
1. Right-click your website and select “View Page Source” (not Inspect). If your main content — headlines, body copy — is visible in the raw HTML, you’re server-side rendered. If you see mostly empty script tags and a blank <div id="root">, your content is likely invisible to AI crawlers.2. Confirm the issue at technicalseo.com/tools/fetch-render — run your URL with “Fetch only” (no JavaScript) and compare it to the full render. If the no-JS version is empty, AI crawlers are seeing a blank page. 3. Share the findings with your developer. Quick fix options: enable SSR in Next.js (getServerSideProps) or Nuxt.js, or implement pre-rendering via Prerender.io. If you’re on Webflow, Squarespace, or Shopify — you’re already server-side rendered and no action is needed. |
How to start getting your brand mentioned from today
If you’re new to GEO, the quickest way to get moving is to work through the high-ease, high-confidence actions first:
1. | Run your AI visibility audit (Tip 1) to establish your baseline. |
2. | Check your robots.txt isn’t blocking AI crawlers (Tip 2) – a five-minute fix. |
3. | Set up Bing Webmaster Tools (Tip 3) if you haven’t already. |
4. | Claim and complete your Google Business Profile (Tip 4). |
5. | Start tracking AI visibility (Tip 7) so you can measure your progress. |
From there, layer in the content and authority-building actions – particularly original data, third-party mentions, and topic cluster content – as these compound in value over time.
| AI search visibility is still early. The brands that build their GEO foundation now will have a structural advantage that is very difficult for latecomers to close. The window to be an early mover is open — but not forever. |