--- title: "How to Choose a GEO Platform for ChatGPT, Gemini, and Perplexity" excerpt: "Choose a GEO platform by testing it on your own prompts. This guide covers seven questions to ask every vendor about ChatGPT, Gemini, and Perplexity coverage, a two-week test you can run yourself, and the three numbers to track once you pick one." date: 2026-10-13 author: GeoVector readTime: 15 min read category: guide tags: [] --- # How to Choose a GEO Platform for ChatGPT, Gemini, and Perplexity *To choose a GEO platform, test it on your own prompts before you trust its feature list. Ask every vendor seven questions about engine coverage, answer capture, repeat runs, prompts, location, refresh cadence, and export. Then run a two-week test and keep the platform whose numbers you can reproduce by hand.* GeoVector is one of the platforms you will compare, so we wrote this guide to work on any vendor, including us. GEO, short for generative engine optimization, is the work of earning mentions and citations in AI answers. A GEO platform runs a fixed set of prompts against AI assistants such as ChatGPT, Gemini, and Perplexity on a schedule and reports where your brand appears. Below you will find the questions to ask, a test to run, and the three numbers worth watching after you buy. ## Why one screenshot proves nothing in GEO AI answers change from one run to the next. SparkToro and [Gumshoe.ai](https://Gumshoe.ai) tested 12 brand-recommendation prompts across ChatGPT, Claude, and Google's AI answers in Search. Each prompt ran 60 to 100 times per platform, and the team reports 2,961 prompts run in total. ChatGPT and Google returned the same brand list less than 1% of the time, and the same list in the same order less than 0.1% of the time.[^fn-1] That finding changes how you shop. A vendor that shows you one clean brand list from one run is showing you noise. The researchers found that how often a brand appears across many runs is more consistent than its position in any single answer. Bose, Sony, Sennheiser, and Apple appeared in 55 to 77% of 994 answers to varied headphone prompts.[^fn-1] Two cautions apply. [Gumshoe.ai](https://Gumshoe.ai) sells AI tracking tools, and the report is not peer reviewed. The study also skipped Gemini and Perplexity, so ask each vendor to show repeat-run spread for the engines you care about.[^fn-1] SparkToro co-founder Rand Fishkin's advice to buyers is direct. "Before you spend a dime tracking AI visibility, make sure your provider answers the questions we've surfaced here and shows their math."[^fn-1] ## Know how each engine returns citations The three engines expose sources differently, so a single "citation" metric hides real differences. The table summarizes each company's own documentation. Those pages describe developer APIs, and the consumer apps can behave differently, which is why question 2 below matters. | Engine | Does it always search? | How sources come back | Detail that affects tracking | | --- | --- | --- | --- | | ChatGPT | No. The model chooses whether to search. | Inline citations, plus a separate list of every URL consulted. | Accepts an approximate location: country, city, region, and timezone. | | Gemini | No. The model decides whether to search and how many queries to run. | Inline citations tied to start and end positions in the text. | Google bills developers per search query on Gemini 3 and newer: 5,000 free a month, then $14 per 1,000. | | Perplexity | Not stated. Its help center says every answer includes numbered citations. | Numbered citations in the answer. API responses add a search results list, and Sonar responses add a citations array. | Ask whether the vendor stores the numbered sources or only the answer text. | Sources for the table: OpenAI,[^fn-2] Google,[^fn-3] and Perplexity's help center[^fn-4] and API guide.[^fn-5] Three consequences follow. First, ChatGPT and Gemini can answer without searching, so some answers carry no citations at all. A citation count that hides how many answers actually searched is missing its denominator. Second, ChatGPT's list of consulted URLs is broader than its list of cited URLs. OpenAI notes that the number of sources is often greater than the number of citations.[^fn-2] Ask which list the platform counts. Third, Google's AI answers come from more than one surface. Besides the Gemini app, Google runs AI Overviews and AI Mode. Ahrefs found only 13.7% citation overlap between those two across 540,000 query pairs from September 2025 US data.[^fn-6] AI Overviews cited no sources in 11% of responses, against 3% for AI Mode.[^fn-6] Ask exactly which Google surfaces each vendor measures, and whether it reports each one separately. ## Ask every vendor these seven questions Put the same seven questions to every vendor in writing. A vendor that cannot answer each one in a sentence or two has told you something. Plan details below come from each vendor's own pages, read on 13 October 2026. We have not tested any vendor's output, and plans change, so confirm before you buy. ### 1\. Which engines does the plan I would buy include? A homepage engine list can differ from the engines in the plan you can afford. Otterly's plans include ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot. Gemini and Google AI Mode are add-ons at $9 a month each on Lite, $59 on Standard, and $149 on Premium.[^fn-7] Profound's free trial covers ChatGPT, Gemini, and Google AI Overviews. Its Enterprise plan lists up to 9 answer engines, Perplexity among them.[^fn-8] GeoVector tracks 6 AI assistants: ChatGPT, Gemini, Claude, Perplexity, Google AI Overview, and Google AI Mode. Its Growth plan includes all 6, its Starter plan includes 2, and its free plan covers Gemini only.[^fn-9] Confirm which 2 engines Starter would give you before you buy. A good answer names each engine and surface on each plan. It also gives the price of the cheapest plan that covers ChatGPT, Gemini, and Perplexity together. ### 2\. Do you capture answers from the consumer app or from an API? The capture method decides what your numbers represent. Rankshift says it captures answers from the chat interface. It argues that APIs return output "without web augmentation, retrieval, or personalization," so API data can drift from what customers see.[^fn-10] That is one vendor's position, and no published test settles it. SparkToro's authors also list it as an open question.[^fn-1] So test it yourself. Ask each vendor for ten raw answers on your prompts, then run the same prompts in the apps and compare. A good answer names the method for each engine and shows the full answer text and cited URLs for every run. GeoVector's features page says you can inspect responses, but our public pages do not yet state the capture method for each engine.[^fn-11] Ask us as you would ask anyone else. ### 3\. How many times do you run each prompt, and do you show the spread? SparkToro ran each prompt 60 to 100 times, and its authors still leave open how many runs reliable data needs.[^fn-1] One weekly run per prompt tells you little about that prompt on its own. Ask for the number of runs per prompt per period. Then ask for a metric defined over runs, such as the share of runs that mention your brand. Treat any single-run position as an anecdote. If a vendor reports position scores, ask how many runs sit behind each one. ### 4\. Whose prompts are tracked, and can you see and change them? Prompt sets come in two shapes: ones you write, and ones the vendor supplies. Ahrefs Brand Radar offers both. Its custom prompts let you "track the exact questions your buyers ask." Every prompt in its index is "modeled from real user searches in Ahrefs' keyword database."[^fn-12] Ahrefs says that index works best once your brand already appears in AI search.[^fn-12] Profound's trial gives you a recommended prompt set for your industry that you cannot customize, while Enterprise prompts are editable.[^fn-8] GeoVector generates its prompts internally for each industry, describes them as expert-curated, and maps them to the Discovery, Research, and Decision stages.[^fn-13] Real buyers phrase things very differently. When SparkToro asked 142 people to write their own headphone prompt, the semantic similarity across their prompts scored 0.081. Yet the engines kept returning a relatively consistent set of brands.[^fn-1] So a good prompt set needs breadth across the buying journey more than one perfect phrasing. Ask for the full list, grouped by stage, in a form you can read and edit. ### 5\. Which country and language does each run assume? Location changes answers. OpenAI's search tool lets a developer set an approximate user location by country, city, region, and timezone to refine results.[^fn-2] Profound's trial is limited to 1 language and 1 region, and its Enterprise languages and regions are custom.[^fn-8] GeoVector's features page lists audience datasets covering 10 countries.[^fn-11] Ask any vendor, us included, how each run's location is set. Then ask whether results for different countries are reported separately or blended. A blended global number hides the market where you win or lose. ### 6\. How often does data refresh, and what does it cost? Cadence and pricing travel together. Otterly lists daily tracking on its plans.[^fn-7] Profound's trial runs daily for 7 days, and its Enterprise plan tracks daily.[^fn-8] Ahrefs checks each prompt daily on every selected platform and prices in checks, where 5 prompts on 1 platform equals 150 checks a month.[^fn-12] By the same arithmetic, 50 prompts on 3 engines is 4,500 checks a month. GeoVector refreshes weekly on every paid plan, and 1 credit tracks 1 prompt.[^fn-9] Daily data suits launches and incident response. Weekly data suits trend reporting. Some engines also cost more to add than others. Otterly prices Claude as a separate add-on from $29 a month, and Ahrefs says Claude consumes 8 checks per update.[^fn-7][^fn-12] Ask whether adding an engine, a country, or a faster cadence changes your bill. ### 7\. What can I export, and how long is history kept? If you cannot take the raw data out, you cannot check any metric. Otterly lists API and MCP access from its Standard plan.[^fn-7] Profound's trial has no exports or API, while its Enterprise plan lists CSV and JSON exports and an API.[^fn-8] GeoVector keeps 1 month of history on Starter, 3 on Growth, and 12 on Enterprise or Agency.[^fn-9] GeoVector's features page also lists MCP access. MCP, the Model Context Protocol, lets AI agents such as Claude and ChatGPT query a data source directly.[^fn-11] Our public pages do not list a REST API or file export, so ask for both in writing from any vendor you shortlist. ## Narrow the shortlist in three steps Use this order so price and polish do not decide for you. 1. Write down your non-negotiables: the three engines, the countries and languages, the refresh cadence, and the export format. 2. Price the cheapest plan from each vendor that meets all of them. Include engine add-ons, prompt limits, and history limits. 3. Run the test below on the two or three vendors that remain. Your main goal decides what to weight most. | If you mainly need | Weight most | Watch for | | --- | --- | --- | | Launch and incident monitoring | Daily refresh, raw answers, quick alerts | Per-check pricing that grows with cadence | | Executive trend reporting | Repeat-run share by engine, 3 to 12 months of history | Single-run positions and position-only scores | | Agency or multi-brand reporting | Multi-brand limits, white label, API or export | Plan caps on companies and reports | GeoVector's Enterprise and Agency plan lists 10 companies and white-label reporting, while Starter lists 1 company.[^fn-9] Check the same limits on every vendor. ## Run a two-week test before you sign This is our suggested test, not a published standard. Setup takes a few hours, and the rest is waiting. 1. Pick 20 prompts: 7 for Discovery, 7 for Research, and 6 for Decision. Include 3 where you already know which brands should appear. 2. Load the same 20 into each shortlisted platform for 14 days. Use trials where they exist, and check which engines each one covers. Profound's trial tracks 50 prompts daily for 7 days on ChatGPT, Gemini, and Google AI Overviews.[^fn-8] GeoVector's free plan allows 25 prompts on Gemini only, so a three-engine test on GeoVector needs the Growth plan.[^fn-9] 3. In the same two weeks, run 10 of the prompts by hand in the ChatGPT, Gemini, and Perplexity apps, three times each. Log the brands and URLs that appear. 4. Score each vendor from 1 to 5 on five points. Does it match your manual logs? Does it show run-level spread? Does it export raw answers? Does one plan cover all three engines? Does it fit your budget at your prompt count? 5. Drop any platform whose numbers you cannot reproduce by hand. A weekly platform gives you two refreshes in 14 days, so compare each one against the manual log from the same week. ## Measure three numbers once you pick one Report each of these by engine and by journey stage: - **Mention rate**: the share of runs in which your brand is named. - **Citation share**: the share of cited URLs that belong to your domain rather than to third-party sites. - **Brand share**: your portion of all brand mentions among the competitors you track. Some platforms, GeoVector included, weight it by where each brand appears in the answer. Read all three as weekly trends. A one-week swing on one prompt is noise, as the SparkToro numbers show.[^fn-1] GeoVector reports weekly brand share across all 6 AI engines, with citation context and position-weighted scoring. It splits citations into Owned, Earned, and Outreach Opportunities views, with every cited URL scored.[^fn-11] Because its brand share blends in position, apply the repeat-run test from question 3 to it and judge movement over several weeks. The same rule applies to any score that folds position into one number. GeoVector refreshes weekly, which fits trend reporting. If you need daily alerts for a launch or an incident, shortlist vendors that list daily tracking and confirm what they charge for it.[^fn-7][^fn-8][^fn-12] Do not rely on referral clicks alone. Pew Research Center analyzed the browsing of 900 US adults in March 2025. Users clicked a traditional result link in 8% of visits with an AI summary and 15% without one. They clicked a link inside the summary in 1% of visits.[^fn-14] Track citations and mentions directly, then match them against traffic in your analytics. Compare GeoVector's plans and engine coverage on its [pricing page](https://www.geovector.ai/pricing) before you add it to your shortlist. ## Frequently asked questions ### What is the best GEO platform for ChatGPT, Gemini, and Perplexity? The best platform is the one whose numbers you can reproduce by hand, on a plan that covers all three engines. Coverage varies by plan. Otterly includes ChatGPT and Perplexity and sells Gemini as an add-on, Profound's trial leaves out Perplexity, and GeoVector covers all three on its Growth plan.[^fn-7][^fn-8][^fn-9] ### How much does a GEO platform cost? Published prices in October 2026 start at $29 a month for Otterly Lite with 15 prompts, billed monthly.[^fn-7] GeoVector Starter costs $199 a month for 200 credits on 2 engines, and Growth costs $499 a month for 500 credits on all 6.[^fn-9] Profound lists no public price for Enterprise.[^fn-8] Engine add-ons, prompt counts, and cadence all move the final bill. ### Should I choose daily or weekly tracking? Choose daily if you need alerts during launches or incidents, and weekly if you report trends to leadership. Otterly, Profound, and Ahrefs list daily tracking, and GeoVector refreshes weekly.[^fn-7][^fn-8][^fn-12][^fn-9] Either way, judge movement over several periods, because single runs vary widely.[^fn-1] ### Can I track AI visibility by hand instead? For a spot check, yes. Ten prompts run three times in three apps is 90 answers to log each week. Brand lists rarely repeat from run to run, so a handful of manual runs cannot stand in for a tracked sample.[^fn-1] Use manual runs to audit a platform, and let the platform carry the weekly volume. ## Related reading - [Top platforms for tracking ChatGPT citations](https://www.geovector.ai/articles/top-platforms-chatgpt-citations): our vendor-by-vendor round-up, checked in January 2026. - [AI visibility pricing comparison](https://www.geovector.ai/articles/ai-visibility-pricing-comparison): plan prices side by side. - [How to measure brand presence in AI conversations](https://www.geovector.ai/articles/how-to-measure-brand-presence-in-ai-conversations): the full measurement framework. - [Where to get a demo of generative engine optimization](https://www.geovector.ai/articles/where-to-get-a-demo-of-generative-engine-optimization): what to look for in a demo. ## Sources [^fn-1]: [searchenginejournal.com](https://www.searchenginejournal.com/ai-recommendations-change-with-nearly-every-query-sparktoro/566242): SparkToro and [Gumshoe.ai](https://Gumshoe.ai) study of 12 brand-recommendation prompts run 60 to 100 times per platform, with repeat-run, visibility, and open-question findings, reported January 30, 2026. [^fn-2]: [developers.openai.com](https://developers.openai.com/api/docs/guides/tools-web-search): OpenAI web search tool documentation covering optional search, inline citations, the sources list, and user location. [^fn-3]: [ai.google.dev](https://ai.google.dev/gemini-api/docs/google-search): Gemini API documentation for Grounding with Google Search, including url\_citation annotations and per-query billing. [^fn-4]: [perplexity.ai](https://www.perplexity.ai/help-center/en/articles/10352895-how-does-perplexity-work): Perplexity help center page stating that each answer includes numbered citations. [^fn-5]: [docs.perplexity.ai](https://docs.perplexity.ai/guides/chat-completions-guide): Perplexity API guide showing search\_results output and the Sonar citations array. [^fn-6]: [ahrefs.com](https://ahrefs.com/blog/ai-overviews-vs-ai-mode/): Ahrefs analysis of September 2025 US data comparing citations in AI Overviews and AI Mode, published December 15, 2025. [^fn-7]: [otterly.ai](https://otterly.ai/pricing): Otterly pricing page listing plan prices, default engines, Gemini, AI Mode, and Claude add-on prices, daily tracking, and API and MCP access by plan. [^fn-8]: [tryprofound.com](https://www.tryprofound.com/pricing): Profound pricing page listing trial engines, prompt limits and customization, daily cadence, languages, regions, exports, and API access. [^fn-9]: [geovector.ai](https://www.geovector.ai/pricing): GeoVector pricing page listing plans, prices, credits, engines per plan, weekly refresh, history, and white-label access, updated August 2026. [^fn-10]: [rankshift.ai](https://www.rankshift.ai/blog/generative-engine-optimization-tools/): Rankshift blog post arguing that chat-interface capture reflects real user answers more closely than API capture. [^fn-11]: [geovector.ai](https://www.geovector.ai/features): GeoVector features page describing response inspection, audience datasets, position-weighted brand share, citation views, and MCP access. [^fn-12]: [ahrefs.com](https://ahrefs.com/brand-radar): Ahrefs Brand Radar page describing custom prompts, the prompt index, daily checks, check-based pricing, and Claude check usage. [^fn-13]: [geovector.ai](https://www.geovector.ai/faq): GeoVector FAQ describing expert-curated prompts, the three journey stages, and weekly data updates. [^fn-14]: [pewresearch.org](https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/): Pew Research Center analysis of March 2025 browsing by 900 US adults.