{"id":160,"date":"2026-08-18T05:06:04","date_gmt":"2026-08-18T05:06:04","guid":{"rendered":"https:\/\/www.akarnik.com\/blog\/how-to-offer-geo-services"},"modified":"2026-08-18T05:06:04","modified_gmt":"2026-08-18T05:06:04","slug":"how-to-offer-geo-services","status":"publish","type":"post","link":"https:\/\/www.akarnik.com\/blog\/how-to-offer-geo-services","title":{"rendered":"How to Offer GEO Services to Clients: Full Agency Guide"},"content":{"rendered":"<p><em>Written by: Arjun Karnik, Growth Marketing Specialist<\/em><\/p>\n<h2 id=\"key-takeaways\">Key Takeaways<\/h2>\n<ul>\n<li>GEO replaces traditional rankings with citations inside AI-generated answers across ChatGPT, Google AI Overviews, Perplexity, and Gemini.<\/li>\n<li>Agencies earn from this shift by selling audits, fan-out query mapping, structured content, freshness loops, and citation tracking.<\/li>\n<li>GEO pricing ladders from $1,500\u2013$2,500 tripwire audits to $3,000\u2013$35,000 monthly retainers that fund continuous publishing and defensive GEO.<\/li>\n<li>Success is measured by citation rate, mention share, and share-of-answer instead of rank position or clicks.<\/li>\n<li>See GEO in practice in this <a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\">demo from Arjun Karnik<\/a>.<\/li>\n<\/ul>\n<h2>GEO Services: What Agencies Actually Deliver<\/h2>\n<p>GEO services are the concrete deliverables an agency ships to get a client\u2019s brand into AI-generated answers. The work spans four areas: technical fixes that let AI crawlers read the site, content structured around buyer questions and fan-out queries, citation-building through consistent entity presence across directories and third-party sources, and measurement via citation tracking and share-of-answer reporting across ChatGPT, Google AI Overviews, Perplexity, and Gemini.<\/p>\n<p>GEO is not a rebrand of SEO. The retrieval mechanics differ, the success metric differs, and the authority model differs. A GEO engagement produces a measurable citation rate on a tracked prompt set, which is the percentage of relevant AI answers that name or link the client, instead of a rank report.<\/p>\n<h2>Why GEO Is the New Distribution Channel for Agencies<\/h2>\n<p>Buyers stopped searching and started asking. Every other change follows from that shift.<\/p>\n<p><a href=\"https:\/\/www.pewresearch.org\/internet\/2025\/07\/22\/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results\/\" target=\"_blank\" rel=\"noindex nofollow\">Pew Research Center tracked 900 US adults across 68,879 Google searches in March 2025<\/a> and found that when an AI summary appeared, users clicked a traditional result in 8% of visits, compared with 15% when no summary appeared. Roughly half the clicks disappeared.<\/p>\n<p>G2 surveyed 1,076 B2B software buyers and decision-makers in March 2026 and found that 71% use AI chatbots for software research. In that group, 69% chose a different vendor than the one they had planned on based on what the assistant told them, and 33% bought from a vendor they had not previously heard of. Being in the answer functions as a vendor-selection event, not just a visibility metric.<\/p>\n<p>OpenAI reported 900 million weekly active ChatGPT users in February 2026. At Google I\/O in May 2026, Sundar Pichai put AI Overviews at over 2.5 billion monthly active users and AI Mode at over 1 billion monthly active users within its first year.<\/p>\n<p>This shift in user behavior is visible in the data. On my own site, the Search Console scissors are clear: impressions climb while clicks fall. The content is being consumed to construct answers, but it no longer sends traffic at the rate it once did. That divergence signals that the channel changed, not that the content failed.<\/p>\n<p>Seer Interactive analyzed 47,097 AI citations across 7,683 pages in ChatGPT, Gemini, and Perplexity between March and June 2026 and found that 75% of cited pages had been updated within the last year, with consistently cited pages averaging under six months since their last update. The page you refreshed beats the page you wrote.<\/p>\n<p>The window for outsized gains is open now. Early citations become tomorrow\u2019s settled record, and answers gain incumbency. The cost of entry rises as those answers harden.<\/p>\n<h2>GEO Pricing: From Tripwire Audits to Enterprise Programs<\/h2>\n<p>GEO pricing in 2026 follows an audit-to-retainer ladder. A low-friction tripwire audit converts roughly one-third of clients into monthly retainers. The table below reflects market benchmarks drawn from published agency pricing guides; these are not my rates.<\/p>\n<table>\n<thead>\n<tr>\n<th>Offer Type<\/th>\n<th>Price Range<\/th>\n<th>Typical Deliverables<\/th>\n<th>Source<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Tripwire GEO Audit<\/td>\n<td>$1,500\u2013$2,500<\/td>\n<td>AI visibility baseline across 4 engines, technical AI readiness check, fan-out query map, prioritized fix list<\/td>\n<td><a href=\"https:\/\/dev.to\/searchless_ai\/geo-pricing-guide-how-much-does-generative-engine-optimization-cost-in-2026-7i0\" target=\"_blank\" rel=\"noindex nofollow\">Searchless 2026 GEO Pricing Guide<\/a><\/td>\n<\/tr>\n<tr>\n<td>Starter Monthly Retainer<\/td>\n<td>$3,000\u2013$5,000\/mo<\/td>\n<td>Ongoing citation monitoring, 4\u20138 GEO-optimized articles, schema maintenance, monthly AI visibility report<\/td>\n<td><a href=\"https:\/\/frase.io\/blog\/how-agencies-sell-ai-content-services\" target=\"_blank\" rel=\"noindex nofollow\">Frase Agency GEO Packaging Guide 2026<\/a><\/td>\n<\/tr>\n<tr>\n<td>Growth Monthly Retainer<\/td>\n<td>$5,000\u2013$10,000\/mo<\/td>\n<td>Full content production, freshness loops, competitive share-of-answer tracking, technical schema engineering<\/td>\n<td><a href=\"https:\/\/doodleweb.io\/blog\/generative-engine-optimization-services-pricing-2026\" target=\"_blank\" rel=\"noindex nofollow\">DoodleWeb GEO Pricing Analysis June 2026<\/a><\/td>\n<\/tr>\n<tr>\n<td>Enterprise GEO Program<\/td>\n<td>$12,000\u2013$35,000\/mo<\/td>\n<td>Multi-brand tracking, 12+ articles per quarter, competitor benchmarking, in-house content collaboration<\/td>\n<td><a href=\"https:\/\/doodleweb.io\/blog\/generative-engine-optimization-services-pricing-2026\" target=\"_blank\" rel=\"noindex nofollow\">DoodleWeb GEO Pricing Analysis June 2026<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>GEO economics favor a content engine over a purely human writing team. <a href=\"https:\/\/aigrowthagent.co\/articles\/best-perplexity-ai-seo-tools\/\" target=\"_blank\">A content engine running via AI Growth Agent costs approximately $5,000 per month<\/a>, compared with roughly $10,000 per month for 7\u201310 human-written articles with no refresh loop. The engine buys volume, structure, and freshness, which are the three attributes this channel rewards. The human-only approach buys better prose, which the retrieval layer does not grade on.<\/p>\n<p><a href=\"https:\/\/doodleweb.io\/blog\/generative-engine-optimization-services-pricing-2026\" target=\"_blank\" rel=\"noindex nofollow\">A GEO retainer priced under $3,000 per month is almost certainly classic SEO with a new label<\/a>, because real weekly multi-engine citation tracking alone requires meaningful infrastructure spend.<\/p>\n<h2>SEO vs GEO: How the Target Really Changed<\/h2>\n<p>The target shifted from a human-readable ranked list to a machine-generated answer. SEO optimizes for that list. GEO optimizes for citation inside the answer. The mechanics, authority model, and success metric all changed.<\/p>\n<table>\n<thead>\n<tr>\n<th>Dimension<\/th>\n<th>SEO<\/th>\n<th>GEO<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Optimizes for<\/td>\n<td>Rankings on a human-readable list<\/td>\n<td>Citation inside a machine-generated answer<\/td>\n<\/tr>\n<tr>\n<td>Query model<\/td>\n<td>The keyword the buyer typed<\/td>\n<td><a href=\"https:\/\/aigrowthagent.co\/articles\/best-automated-keyword-research-tool\/\" target=\"_blank\">Dozens of hidden fan-out queries triggered by one prompt<\/a><\/td>\n<\/tr>\n<tr>\n<td>Authority source<\/td>\n<td>Backlinks and domain authority<\/td>\n<td>Expert topical coverage and entity consistency<\/td>\n<\/tr>\n<tr>\n<td>Success metric<\/td>\n<td>Rank position, clicks, CTR<\/td>\n<td>Citation rate, mention share, share of answer<\/td>\n<\/tr>\n<tr>\n<td>What sustains a win<\/td>\n<td>Accumulated domain authority<\/td>\n<td>Continuous freshness, with the game resetting weekly<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><a href=\"https:\/\/thegeolab.net\/geo-vs-traditional-seo\" target=\"_blank\" rel=\"noindex nofollow\">Pages ranking in Google\u2019s top five positions for target keywords frequently record zero AI citation rate on the same queries<\/a> because they fail section-level extractability, even when they pass document-level relevance scoring. Ranking and citation represent different outcomes.<\/p>\n<p><a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">Adding statistics increases AI citation visibility by around 31\u201333% and adding quotations by around 41\u201343%, according to the Princeton GEO study.<\/a> Structure becomes a requirement, not a finishing touch.<\/p>\n<h2>Step 1: Run an Invisible Competitor Audit Across AI Surfaces<\/h2>\n<p>Start by establishing where the client stands before producing any content. Run 20\u201330 buyer-intent prompts across all four surfaces and record exactly what comes back: which brands are named, which URLs are cited, where the client appears or does not, and whether any information about the client is inaccurate.<\/p>\n<p>This process forms the Invisible Competitor audit. It answers the question most businesses are guessing at: who the AI is recommending instead of the client, and why. <a href=\"https:\/\/demandlocal.com\/blog\/geo-audit-agency-walkthrough\" target=\"_blank\" rel=\"noindex nofollow\">A focused 10-prompt audit across two platforms is typically priced at $1,500\u2013$3,000, while a full audit with 30 prompts across five platforms runs $5,000\u2013$7,500.<\/a><\/p>\n<p>The audit also surfaces defensive GEO issues immediately. A wrong AI answer hurts more than no answer. If the client\u2019s AI record contains errors, that work comes first, ahead of any growth effort.<\/p>\n<h2>Step 2: Package a $1,500\u2013$2,500 Tripwire GEO Audit<\/h2>\n<p>Use the audit as the foot-in-the-door offer. Package it as a fixed-scope, fixed-price deliverable that a client can approve without a long procurement cycle.<\/p>\n<p>The deliverable set should include:<\/p>\n<ol>\n<li>AI visibility baseline across ChatGPT, Google AI Overviews, Perplexity, and Gemini<\/li>\n<li>Technical AI readiness check covering robots.txt for GPTBot, ClaudeBot, PerplexityBot, and Google-Extended, plus schema coverage and JavaScript rendering<\/li>\n<li>Fan-out query map extracted directly from ChatGPT<\/li>\n<li>Competitor share-of-answer comparison on priority prompts<\/li>\n<li>Prioritized fix list with fast wins for Week 1\u20132, roadmap items for Month 1\u20133, and a backlog<\/li>\n<li>30\/60\/90-day implementation roadmap<\/li>\n<\/ol>\n<p><a href=\"https:\/\/frase.io\/blog\/how-agencies-sell-ai-content-services\" target=\"_blank\" rel=\"noindex nofollow\">One-time GEO audits priced at $1,500\u2013$5,000 convert roughly one-third of clients to monthly retainers.<\/a> The audit functions as proof that the problem is real and as the entry point to the retainer conversation.<\/p>\n<h2>Step 3: Map Fan-Out Queries Directly from ChatGPT<\/h2>\n<p>Each buyer prompt triggers dozens of hidden retrieval queries instead of a single lookup. The model assembles the answer from what those queries return.<\/p>\n<p><a href=\"https:\/\/aigrowthagent.co\/articles\/best-automated-keyword-research-tool\/\" target=\"_blank\">Legacy keyword tools rely on historical data and daily caps, which miss the new long-tail queries that AI surfaces answer.<\/a> Extract fan-out queries directly from ChatGPT instead of inferring them from keyword tools. The target becomes the machine\u2019s questions, not only the human\u2019s visible prompt.<\/p>\n<p>Ask ChatGPT what sub-questions it needs to answer to respond to the client\u2019s core buyer prompts. Treat that output as the production queue.<\/p>\n<h2>Step 4: Structure Content Around Buyer Language and Schema<\/h2>\n<p>Clear buyer language helps the model match questions to answers at the moment of retrieval. On my own site, a page titled \u201cWhat is GEO\u201d was relabelled \u201cHow to Get Your Business Recommended by AI Search,\u201d with the slug, title, H1, and H2s all realigned to buyer questions. Citations followed within weeks of that specific change.<\/p>\n<p>The structural requirements for every page work together to maximize extractability. Start with the slug, title, and H1 written in the exact language of the fan-out query so the page matches the machine\u2019s retrieval query. Then structure the content with answer-first H2s that mirror buyer questions directly, followed immediately by 20\u201325 word direct answer capsules that the AI can extract without reading the full section.<\/p>\n<p>Layer in schema markup on every page, using Organization, FAQPage, HowTo, or Article as appropriate, to give the model structured metadata. Finally, build self-contained information blocks with statistics and named entities in every section so the AI can cite specific facts without needing surrounding context.<\/p>\n<p>Pages structured with clear H1\u2013H2\u2013H3 headings are more likely to be cited in generative answers. Structure functions as the entry fee, not a stylistic choice.<\/p>\n<h2>Step 5: Use AI Growth Agent to Publish and Refresh at Scale<\/h2>\n<p>One person cannot publish and refresh at the cadence this channel requires. The arithmetic does not work. In my own tests, pages can drop 78% to 99% in two months without updates, and a fixed library of any size decays without a maintenance loop.<\/p>\n<p>I run AI Growth Agent on a subfolder of my own site at 5\u20138 autonomous actions per day, combining new articles with updates to existing ones. On my own site, the GEO subfolder went from zero to the only source of new impressions on the entire domain in 60 days. New articles reached thousands of monthly Google impressions within weeks.<\/p>\n<p>These results align with what AI Growth Agent has documented across its client base. AI Growth Agent\u2019s published case studies, which are theirs and not mine, show what the platform has produced for other clients. <a href=\"https:\/\/aigrowthagent.co\/articles\/best-perplexity-ai-seo-tools\/\" target=\"_blank\">Leva Sleep closed $40,000\u2013$50,000 in deals in under three weeks from buyers who discovered the brand through AI Growth Agent content.<\/a> <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">Their clients also record significant gains in AI citations, bot visits, and impressions across the first twelve weeks.<\/a><\/p>\n<p>The impression-decay tripwires in AI Growth Agent monitor performance and automatically queue an update when a page starts falling. The threshold is set against the decay behavior I measured in my own tests. The content repairs itself on a loop instead of waiting for a quarterly audit.<\/p>\n<h2>Step 6: Measure Citations, Mentions, and Share-of-Answer<\/h2>\n<p>Measurement moves from rankings to citations, mentions, and share of voice. The dashboard must reflect the channel buyers actually use.<\/p>\n<p>The core GEO KPI stack has three layers:<\/p>\n<ol>\n<li><strong>Visibility:<\/strong> citation rate, which is the percentage of tracked prompts where the client is cited, mention rate, which is the percentage where the client is named, and share of answer versus competitors on the same prompt set<\/li>\n<li><strong>Traffic:<\/strong> AI referrer sessions from chatgpt.com and equivalents in GA4, segmented as a distinct traffic class because <a href=\"https:\/\/naganamedia.com\/blogs\/geo-aeo-measurement-2026\" target=\"_blank\" rel=\"noindex nofollow\">ChatGPT referral traffic converts at 15.9% versus Google organic at 1.76%<\/a><\/li>\n<li><strong>Decay signals:<\/strong> impressions and click curves in Google Search Console, with impression-decay tripwires set to auto-queue updates<\/li>\n<\/ol>\n<p>Attach one honest caveat to every report. Buyers frequently copy an answer and paste a brand name directly into a browser, which shows up as direct traffic and never gets attributed to the AI answer that caused it. Whatever you measure is a floor, not a ceiling. <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">AI Growth Agent provides citation and share-of-answer dashboards that track across all four major surfaces.<\/a><\/p>\n<p>Many marketers struggle to measure AI visibility effectively. The agency that delivers a credible citation dashboard owns the client relationship in this channel.<\/p>\n<h2>Step 7: Sell Tiered Retainers with Defensive GEO and Freshness Loops<\/h2>\n<p>The audit sets up the retainer. The retainer conversation is direct: the audit proved the problem is real, the fix requires continuous publishing and refreshing, and the economics favor a content engine over a human-only writing team.<\/p>\n<p>Structure the retainer tiers around what the client\u2019s competitive position requires. The starter tier at $3,000\u2013$5,000 per month covers the monitoring and maintenance baseline: citation monitoring across four engines, 4\u20138 GEO-optimized articles per month, schema maintenance, a monthly AI visibility report, and a defensive GEO audit on a quarterly cycle.<\/p>\n<p>Clients facing active competition need the growth tier at $5,000\u2013$8,000 per month. This tier shifts from manual publishing to full content production via AI Growth Agent at machine cadence, adds freshness loops with impression-decay tripwires, and includes competitive share-of-answer tracking and entity consistency management.<\/p>\n<p>The enterprise tier at $8,000\u2013$10,000 per month builds on the growth tier with proactive fan-out query expansion, PR-backed citation building, and weekly dashboards with decision recommendations. This tier suits clients who need to dominate a category rather than simply compete in it.<\/p>\n<p>Defensive GEO runs parallel to growth work, not after it. What AI currently says about the client is audited and corrected on a cycle because model answers change. A wrong AI answer suppresses inbound before any growth work can take effect. A negative AI mention in ChatGPT or Perplexity can suppress form submissions by about 22%.<\/p>\n<p>The freshness loop becomes the moat. Freshness is the hardest thing for a competitor to sustain and the easiest thing for an incumbent to neglect. A challenger publishing and refreshing at cadence via AI Growth Agent outperforms a stale incumbent library because the game resets weekly.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>Is GEO just SEO with a new name?<\/h3>\n<p>GEO differs from SEO at the level of target, mechanics, authority model, and success metric. SEO optimizes for a ranked list of links that a human selects from. GEO optimizes for citation inside a single synthesized answer that a machine constructs.<\/p>\n<p>SEO matches a page to the keyword a buyer typed, while GEO matches content sections to dozens of hidden fan-out queries triggered by one prompt. SEO builds authority through backlinks and domain tenure, while GEO builds it through topical coverage and entity consistency. SEO reports on rank position, while GEO reports on citation rate.<\/p>\n<p>Content that ranks number one for a keyword can record zero AI citation rate on the same query because it fails section-level extractability. These differences are structural, not cosmetic.<\/p>\n<h3>How long until a client sees results?<\/h3>\n<p>Clients usually see coverage and impressions within weeks. On my own site, new articles reached thousands of monthly Google impressions within weeks of publication. Citations on priority prompts typically appear within one to three months of structural changes.<\/p>\n<p>Compounding, where topical authority accumulates and citation rates climb across a broader prompt set, tends to begin after month three. Diagnostic improvements from structural fixes can appear faster, while trust effects that compound into pipeline take longer.<\/p>\n<p>A practical timeline is early signals in weeks, measurable citation rate improvement in 60\u201390 days, and visible business impact in three to six months.<\/p>\n<h3>What if AI is already saying wrong things about a client?<\/h3>\n<p>Defensive GEO comes first when AI answers are inaccurate. A wrong AI answer hurts more than no answer because it actively misdirects demand. The Invisible Competitor audit surfaces what the assistants currently say about the client across all four surfaces.<\/p>\n<p>Defensive GEO then audits and corrects the record. The work includes entity consistency across the website, Google Business Profile, LinkedIn, Crunchbase, and directories, schema markup that gives the model a verified description to retrieve, and structured content that gives the retrieval layer accurate facts to cite.<\/p>\n<p>Defensive GEO runs on a recurring cycle because model answers change over time, not as a one-time fix.<\/p>\n<h3>How much content is actually enough?<\/h3>\n<p>\u201cEnough\u201d means covering the mapped fan-out question space and keeping that coverage fresh. The constraint is cadence, not total article count. In my own tests, a fixed library of any size decayed sharply without maintenance.<\/p>\n<p>The reference cadence I run via AI Growth Agent is 5\u20138 autonomous actions per day, mixing new articles with updates to existing ones. As the Seer Interactive analysis showed, consistently cited pages require updates every six months or less.<\/p>\n<p>Both volume and freshness matter together. Volume without freshness produces slop, while freshness without volume leaves gaps in the fan-out question space.<\/p>\n<h3>Should clients stop doing SEO when they start GEO?<\/h3>\n<p>Clients should keep doing SEO while adding GEO. Technical fundamentals, structured content, and topical authority support both channels. What changes is the target you optimize toward and the metric you report on.<\/p>\n<p>Content built for citation still performs in traditional search. On my own site, the GEO subfolder became the only source of new impressions on the domain, and those articles reached thousands of monthly Google impressions within weeks.<\/p>\n<p>The two channels share infrastructure. GEO adds fan-out query mapping, buyer-language alignment, schema on everything, freshness loops, and citation measurement as layers on top of a working SEO foundation.<\/p>\n<h2>30-Day GEO Execution Plan for Agencies<\/h2>\n<p>The 30-day sequence follows a clear progression. The first week covers the Invisible Competitor audit: run 20\u201330 buyer-intent prompts across ChatGPT, Google AI Overviews, Perplexity, and Gemini, record the baseline, fix any defensive GEO issues, and unblock AI crawlers.<\/p>\n<p>The second week focuses on fan-out query mapping and content restructuring. Extract the full question space from ChatGPT, rewrite slugs, titles, H1s, and H2s to match buyer language, and add schema to every priority page.<\/p>\n<p>Week three is deployment. Activate AI Growth Agent at 5\u20138 autonomous actions per day on a subfolder, with impression-decay tripwires set. Week four covers measurement setup and the retainer conversation. Configure citation tracking across all four surfaces, segment AI referrers in GA4, and present the audit findings with a 90-day roadmap.<\/p>\n<p>The sequence is self-verifying. Ask an AI assistant about the client\u2019s category after 30 days and compare what comes back against the baseline. The audit functions as the control group, and the citations represent the result.<\/p>\n<p>The window is open now. Early citations become tomorrow\u2019s settled record. Answers gain incumbency, and the cost of entry rises as they harden. Agencies that decode this layer first own the category narrative before incumbents adapt.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Audit, package, and price GEO services clients will pay for. Arjun Karnik shows agencies how to win AI citations and scale retainers to $35K\/mo.<\/p>\n","protected":false},"author":118,"featured_media":159,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-160","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/posts\/160","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/comments?post=160"}],"version-history":[{"count":0,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/posts\/160\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/media\/159"}],"wp:attachment":[{"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/media?parent=160"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/categories?post=160"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/tags?post=160"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}