How to show up in Google AI Mode
How Google AI Mode's query fan-out works, why pages that answer related sub-questions get found, and what Google's own docs say you need.
Practical writing on admissions economics, funnel leakage, follow-up systems, and tracking for schools and coaching institutes in India.
How Google AI Mode's query fan-out works, why pages that answer related sub-questions get found, and what Google's own docs say you need.
What Disallow: / blocks and what it does not: why blocked URLs can still be indexed, when to use noindex instead, and how it applies to AI crawlers.
Test robots.txt one user agent at a time: grouping, longest-match precedence, and why a passing result still does not prove a crawler can reach your pages.
Google says some SEO changes show in hours and others take months. Why crawling, indexing and competition set the pace, and how to check progress honestly.
A 90-day AEO plan grounded in Google's docs: prove crawler access, map buyer questions, write answer-first passages, add matching structured data, then measure.
A local-first guide for dental practices: Google Business Profile, answering Google reviews, Dentist schema, and service pages that answer patient questions.
Twenty on-page checks for titles, descriptions, headings, images and links, and why to run them against templates rather than one page at a time.
Where GA4's AI Assistant channel puts ChatGPT visits, why AI Overviews stay in Organic Search, and how to build a custom channel group and Exploration.
A step list from Google and Microsoft guidance plus OpenAI and Anthropic crawler docs: access, crawlable text, clear answers and matching schema.
What the llms.txt proposal is, why Google Search ignores the file, who may read it, and how to write and check one without treating it as a ranking lever.
A B2B SEO strategy for long buying cycles: problem-aware content, real service pages, Organization markup and open access for AI search crawlers.
A monthly SEO report template mapped to Search Console and GA4: performance, indexing, AI traffic and a dated change log, with labelled placeholders.
Block training bots such as GPTBot and ClaudeBot if you choose, keep AI search bots open for citations, and check your CDN is not blocking more than robots.txt says.
AEO explained plainly: what answer engine optimisation means, why Google treats it as SEO, and the habits that make pages easy for answer engines to cite.
Compare in-house SEO, an agency and a freelancer by tasks, skills and access control, using Google's own hiring guidance.
AI share of voice is a sampled metric: how to build a frozen prompt set, and what Search Console and GA4 measure first-party.
AEO is a layer of SEO, not a replacement: what stays the same, what answer-first formatting adds, and what Google's own docs say about both.
A technical SEO checklist from Google's documentation, plus two checks robots.txt audits miss: real server responses to crawlers and missing H1s.
Google does not penalise content for being AI-written. It targets low-value pages made at scale to manipulate rankings. What its guidance says.
A copyable robots.txt with separate groups for AI search bots, user fetchers and training crawlers, using only tokens from the vendors' own docs.
Google says AI Overviews need nothing beyond indexing and snippet eligibility. What that means in practice, and how to measure it in Search Console.
Eight SEO KPIs you can measure first-party, from clicks and average position to AI Assistant sessions, and how Search Console and Analytics calculate them.
Fifteen questions to put to any SEO agency, built on Google's own hiring advice and spam policies, plus a price and proof test for transparency.
Bot Fight Mode, Block AI Bots and custom WAF rules can each stop AI crawlers. How to test which one is blocking yours, and how to allow verified bots.
AI visibility is whether AI systems can reach, read and cite your site. How to measure the inputs and outputs, with one before and after from 18.35 to 66.35.
Robots.txt controls crawling, noindex controls indexing, and a 403 or 5xx response stops both in practice. How to tell which one is keeping a page out of Google.
How doctors and clinics get found: a verified Business Profile, Physician markup, consistent practice details and condition pages written with real clinical expertise.
Allow PerplexityBot, check your firewall as well as robots.txt, and write answer-first pages an answer engine can quote, using Perplexity's own crawler documentation.
How to write pages people and answer engines can use: answer first, show real experience, write honest titles, and ignore word-count myths, using Google's own guidance.
A diagnostic order from Google's own docs: check whether the page is indexed, rule out robots.txt, noindex and server blocks, then allow a new page time.
No. Google says its AI Overviews and AI Mode are rooted in core Search ranking systems and draw on indexed pages, so SEO fundamentals still decide what gets cited.
How Google AI Overviews, AI Mode, ChatGPT search and Perplexity find pages to cite, which crawler each relies on, and how to keep your site reachable.
How B2B software companies can build product, use-case, comparison and integration pages, add Organization and SoftwareApplication markup, and stay visible in AI answers.
A manual method to check whether AI Overviews appear for your queries and cite you, confirmed in Search Console’s generative AI performance report.
A complete llms.txt example and blank template in the llmstxt.org format, what Google says the file does not do, and a checklist to validate yours.
Google's own hiring advice turned into a checklist: questions to ask, what an audit should include, and why read-only Search Console access comes first.
LLM SEO tools grouped by what they measure: AI crawler access, mentions in assistants and Search Console's generative AI report, with a checklist for judging them.
What each OpenAI crawler does, why a firewall rule matching "searchbot" can hide you from ChatGPT search, and how to allowlist OAI-SearchBot.
Audit findings, scope, deliverables, reporting and timeline caveats, the contract clauses to check, and the promises Google says are red flags.
One client, one frozen rubric: AI Visibility 18.35 to 66.35, SEO Health 46.55 to 67.45, and the trade-off we publish too: performance fell from 48 to 28.
GPTBot is OpenAI's training crawler. Blocking it opts you out of training, not ChatGPT search, which runs on OAI-SearchBot and needs its own robots.txt rule.
A buyer's guide built on Google's own hiring advice: grant read-only Search Console access first, read the audit for specifics, and walk away from ranking guarantees.
A firewall rule returned 403 to OpenAI's search crawler while monitoring said all was fine. How to allow OAI-SearchBot, confirm the live response and write citable answers.
Google knows the URL but has not crawled it yet. What the Search Console status means and the fixes Google documents: internal links, sitemaps, request indexing.
LLM SEO as two jobs: let OAI-SearchBot, Claude-SearchBot and PerplexityBot reach your pages, then write passages a model can lift and cite.
Training, search and user-triggered AI crawlers from OpenAI, Anthropic, Perplexity and Google, built from each vendor's own documentation.
What drives SEO cost in India, what low-cost packages leave out, Google's own red flags for hiring an SEO, and our published monthly price.
AEO and GEO name overlapping work. What Google's own guide says, where answer boxes and AI citations differ, and one checklist for both.
ChatGPT draws on training data and live web fetches by three separate OpenAI crawlers. What each one does, and why blocking one does not block the rest.
A bad-bot rule matching "searchbot" returned 403 to OpenAI's and Anthropic's search crawlers while robots.txt said they were allowed. How to test both layers.
The free AI Visibility Checker reads your robots.txt for GPTBot, ClaudeBot, PerplexityBot and eight other AI crawlers, requests your homepage with each one's user agent, checks llms.txt and your sitemap, and crawls up to 50 pages.
Why enquiries don't convert to admissions is not a demand problem — it is a follow-up failure. Here is the exact mechanism behind coaching enquiry drop-off and the 5-day sequence that fixed it.
How to think about admissions marketing ROI honestly — the framework that ties top-of-funnel cost per lead to lifetime value, without inventing numbers we cannot prove.
Why most Indian schools cannot benchmark their admissions conversion rate, the one number Aglocom can publish (34% walk-in-to-admission), and what the gap to industry average means.
The full lead-generation playbook for Indian schools and coaching institutes — channel mix, cost-per-lead benchmarks, and the moves that compound over years.
How much should an Indian private school actually spend on admissions marketing? Working benchmarks by school size, board, and city tier — plus what to drop.
How we cut Google Ads cost per conversion (cost per lead) by 83% at one Hyderabad coaching institute — keyword changes, landing page changes, and follow-up changes that compounded.
The 5-stage admissions funnel framework every Indian school should track — what each stage means, what to measure, and where the leak usually is.
What walk-in rate signals in coaching admissions, and the operational changes that actually shift it. The one number Aglocom's flagship engagement runs at — and why.
The full operator playbook for a 2026 coaching institute marketing strategy — channel mix, cycle timing, what to spend, what to drop entirely.
The exact WhatsApp sequence we use to nurture coaching institute inquiries — message-by-message, with timing rules and the question that closes.
The 7 questions every school owner should ask before signing with a marketing agency. Most generalist agencies fail at least 4 of them.
The four predictable leakage points between inquiry and enrolled student — and the specific fixes for each. Most schools fix the wrong one first.
What actually drives admissions in India in 2026 — not generic ads or boosted Instagram posts, but the funnel pieces most agencies skip.